HANDHELD PHYSIOLOGICAL SENSOR
20170188829 ยท 2017-07-06
Inventors
- Matthew Banet (San Diego, CA)
- Marshal Singh Dhillon (San Diego, CA)
- Susan Meeks Pede (Encinitas, CA, US)
- Lauren Nicole Miller Hayward (San Diego, CA, US)
- Arthur DEPTALA (Santee, CA, US)
- Jonas Dean COCHRAN (Santee, CA, US)
Cpc classification
A61B5/7282
HUMAN NECESSITIES
G16H50/20
PHYSICS
A61B5/02416
HUMAN NECESSITIES
G16H50/30
PHYSICS
A61B5/349
HUMAN NECESSITIES
A61B5/02141
HUMAN NECESSITIES
A61B5/02028
HUMAN NECESSITIES
A61B5/7275
HUMAN NECESSITIES
A61B5/0205
HUMAN NECESSITIES
A61B5/0245
HUMAN NECESSITIES
International classification
A61B5/00
HUMAN NECESSITIES
A61B5/1455
HUMAN NECESSITIES
Abstract
A handheld device measures all vital signs and some hemodynamic parameters from the human body and transmits measured information wirelessly to a web-based system, where the information can be analyzed by a clinician to help diagnose a patient. The system utilizes our discovery that bio-impedance signals used to determine vital signs and hemodynamic parameters can be measured over a conduction pathway extending from the patient's wrist to a location on their thoracic cavity, e.g. their chest or navel. The device's form factor can include re-usable electrode materials to reduce costs. Measurements made by the handheld device, which use the belly button as a fiducial marker, facilitate consistent, daily measurements, thereby reducing positioning errors that reduce accuracy of standard impedance measurements. In this and other ways, the handheld device provides an effective tool for characterizing patients with chronic diseases, such as heart failure, renal disease, and hypertension.
Claims
1. A biometric sensor configured to measure a blood pressure value from a patient, comprising: an arm-receiving portion comprising an opening configured to receive a distal portion of the patient's arm and a first electrode configured and arranged to contact the distal portion of the patient's arm when it is inserted in the opening, the first electrode comprising a conductive material disposed on an inflatable bladder; a pressure-control system comprising a pump, a valve, and a pressure sensor connected to the inflatable bladder, the pressure-control system being configured to inflate and deflate the bladder in response to computer commands; a body-contacting portion comprising an exterior-facing surface and a second electrode configured and arranged to contact a body location that is one of the patient's torso, legs, opposing arm, and neck when the body-contacting portion is pressed against the second body location while the patient's arm is inserted in the opening; a first analog system configured to receive biometric signals from the first electrode and the second electrode and to process them to generate an ECG waveform; a second analog system configured to receive signals from the pressure sensor and to process them to generate pressure signals; and a processing system configured to issue computer commands to the pressure-control system to inflate and deflate the bladder while the second analog system generates the pressure signals, and further configured to analyze modulations in digital versions of the pressure signals to estimate the blood pressure value.
2. The biometric sensor of claim 1, wherein the processing system comprises computer code configured to filter the pressure signals to determine a set of pressure-dependent oscillations that depends on the patient's blood pressure.
3. The biometric sensor of claim 2, wherein each pressure-dependent oscillation in the set of pressure-dependent oscillations is characterized by a pressure value and an amplitude value.
4. The biometric sensor of claim 3, wherein the computer code is further configured to determine the pressure-dependent oscillation having a maximum amplitude value.
5. The biometric sensor of claim 4, wherein the computer code is further configured to determine a mean arterial pressure (MAP) from the pressure-dependent oscillation having the maximum amplitude value.
6. The biometric sensor of claim 4, wherein the computer code is further configured to determine a systolic blood pressure (SYS) from a first pressure-dependent oscillation characterized by an amplitude that, when divided by the maximum amplitude of the pressure-dependent oscillations, is substantially equivalent to a first pre-determined ratio.
7. The biometric sensor of claim 6, wherein the first pre-determined ratio is between 0.4 and 0.8.
8. The biometric sensor of claim 4, wherein the computer code is further configured to determine a diastolic blood pressure (DIA) from a second pressure-dependent oscillation characterized by an amplitude that, when divided by the maximum amplitude of the pressure-dependent oscillations, is substantially equivalent to a second pre-determined ratio.
9. The biometric sensor of claim 8, wherein the second pre-determined ratio is between 0.4 and 0.8.
10. The biometric sensor of claim 1, wherein the processing system measures the pressure signals while the pressure-control system inflates the bladder.
11. The biometric sensor of claim 1, wherein the processing sytem measures the pressure signals while the pressure-control system deflates the bladder.
12. The biometric sensor of claim 1, wherein the arm-receiving portion comprises first and second spaced-apart wall portions that form the opening, which wall portions are arranged so as to be located on opposite sides of the patient's arm when it is inserted in the opening.
13. The biometric sensor of claim 12, wherein the first and second wall portions extend from the body-contacting portion.
14. The biometric sensor of claim 13, wherein the first electrode is disposed on an inner surface of one of the first and second wall portions.
15. The biometric sensor of claim 1, wherein the arm-receiving portion comprises an annular ring component that forms the opening.
16. The biometric sensor of claim 15, wherein the first electrode is disposed on an inner surface of the annular ring component.
17. The biometric sensor of claim 1, wherein the arm-receiving portion comprises an inflatable cuff configured to engage the distal portion of the patient's arm.
18. The biometric sensor of claim 17, wherein the cuff comprises a pair of inflatable bladders which oppose each other across the opening.
19. The biometric sensor of claim 18, wherein the first electrode is formed from conductive, elastomeric material disposed over a surface of the inflatable bladder that faces the opening.
20. The biometric sensor of claim 17, wherein the cuff is formed from elastomeric material.
21. The biometric sensor of claim 17, wherein the cuff is formed from inelastic material.
22. The biometric sensor of claim 17, wherein the cuff is configured to be wrapped around the distal portion of the patient's arm and secured by means of a closure member.
23. The biometric sensor of claim 1, wherein the first and second electrodes each comprise a conductive material.
24. The biometric sensor of claim 23, wherein the conductive material is one of a conductive fabric, a metal component, a conductive foam, a conductive polymeric material, and a hydrogel material.
25. The biometric sensor of claim 1, wherein the first electrode is disposed on top of an inflatable bladder.
26. The biometric sensor of claim 25, wherein the sensor further comprises a microprocessor-controlled pneumatic inflation system configured and arranged to control inflation and deflation of the inflatable bladder.
27. The biometric sensor of claim 26, wherein the pneumatic system comprises a pump and a valve.
28. The biometric sensor of claim 26, wherein the first electrode is formed from elastomeric fabric which stretches and contracts with the inflatable bladder as the bladder is inflated and deflated.
29. The biometric sensor of claim 1, further comprising a circuit board disposed within the sensor.
30. The biometric sensor of claim 29, wherein the analog systems and the processing system are disposed on the circuit board.
31. The biometric sensor of claim 30 wherein the first and second electrodes are in electrical, signal-conducting contact with the analog system.
32. The biometric sensor of claim 1, wherein the ECG waveform comprises a set of heartbeat-induced QRS complexes, and the processing system includes computer code configured to calculate a time difference between the QRS complexes to determine the patient's heart rate.
Description
BRIEF DESCRIPTION OF TIT DRAWINGS
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DETAILED DESCRIPTION
1. Product Overview
[0059] A handheld device according to the invention integrates measurement of all vital signs and some hemodynamic parameters from the human body into a single, easy-to-use device. More specifically, the device measures the following waveforms: 1) ECG; 2) pressure; 3) PPG; and 4) TBI. Digital electronics in the device process these waveforms to calculate the following numerical information: 1) SYS, DIA, and MAP; 2) SpO2; 3) HR and HRV; 4) RR; 5) TEMP; 6) SV; 7) CO; and 8) FLUIDS. It uses permanent, reusable components (e.g. electrodes), and transmits numerical and waveform information through a patient's mobile device to a web-based system.
[0060] The handheld device supplants more complex prior systems that include, e.g., multiple devices to measure vital signs and hemodynamic parameters. For example, such prior systems may include a separate blood pressure cuff, pulse oximeter, Holter monitor or patch-based system, and spirometer to measure vital signs. Determining hemodynamic parameters with prior systems is typically more complicated, and may require a bio-impedance and/or ultrasound machine to measure CO, SV, and FLUIDS.
[0061] Use of a single device, as opposed to multiple devices, can simplify operation and reduce the time required to measure the above-mentioned parameters. This, in turn, may increase the patient's compliance with a prescribed measurement regiment, as it is well established that daily use of devices that measure physiological parameters typically improves as the time and complexity involved with using such devices decreases. By consistently collecting physiological information on a daily basis, systems using the handheld device can calculate trends in the information. Such trends may indicate the progression of certain disease states in a manner that is improved relative to one-time measurements of certain parameters. For example, a value of FLUIDS corresponding to 15 Ohms, or an SV corresponding to 75 mL, has little value taken in isolation. But if these parameters decrease by 20% over a period of a few days, it can indicate that the patient's heart is pumping blood in a less efficient manner (as indicated by the SV), which in turn decreases perfusion of the patient's kidneys and causes them to retain more fluids (as indicated by the FLUIDS level). Trends such as these can indicate, for example, the onset of CHF. Similar, trends in BP can indicate a worsening in hypertension or hypotension. Indeed, most disease states are indicated by trends in one or, more commonly, multiple physiological parameters. The handheld device provides a simple solution for measuring these parameters and their trends.
[0062] As shown in
[0063] A second, finger-receiving cavity portion 105 located at an opposite end of the device has an opening which is configured and positioned to receive the distal end of the patient's thumb when the device is held, as shown in
[0064] To take a physiological measurement, as shown in
[0065] As shown in
[0066] The handheld device described herein demonstrates that TBI waveforms measured with electrodes contacting the wrist have improved signal-to-noise ratios compared to waveforms measured with electrodes contacting the hands and/or fingers. Typically waveforms with relatively high signal-to-noise ratios yield more accurate measurements. For this reason, the handheld device described herein may be particularly effective in measuring parameters that are extracted from TBI waveforms, e.g. SV and CO. Without being bound by any theory, this may be because the wrist encloses blood-passing arteries (radial, ulnar) that are relatively large and uncomplicated compared to those in the hand. Thus such arteries are likely to yield TBI waveforms with relatively high signal-to-noise ratios.
[0067] The patient holds the handheld device 100 in this position for about 30 seconds, during which period of time the onboard microprocessor determines the various parameters of interest. When the measurement is complete an internal microprocessor controls a user-interface device (e.g., an LED or buzzer) to notify the patient. Once this occurs, an internal Bluetooth transmitter in the handheld device 100 transmits numerical and waveform information to the patient's mobile device (not shown in the figure), which forwards it to a web-based system. There, a clinician, the patient, family member, etc. can review the information.
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[0069] The handheld sensor 100 also includes an additional electrode 111 that is typically used as a drive electrode to reduce 60 Hz noise typically caused by common mode interference. This component is located on an outer portion of the neck 106 so as to make contact with the patient's skin (e.g. on their palms and/or fingers) when they grasp the neck 106. Typically, such an electrode and associated electrical circuitry is referred to as a right leg drive. Right leg drive circuitry is known in the art, and is used to eliminate common-mode interference noise by actively canceling the interference. A second electrode 113, also located on an outer portion of the neck 106 so as to make contact with the patient's skin when they grasp the neck 106, may also be used to improve the performance of the handheld device's right leg drive circuitry.
[0070] The upper portion of the circuit board 130 extends to within the cavity portion 105 and includes a dual-emitting LED 132, which generates red and infrared optical wavelengths in the 660 nm and 908 nm region, and a photodetector (e.g., photodiode) 134. These components measure PPG waveforms using both red and infrared radiation, as is generally known in the art, but quite advantageously from one of the digits (e.g., the thumb) of the hand with which the patient holds the handheld sensor. This makes for a highly compact, easy-to-use, comprehensive device. A digital system within the circuit board processes the waveforms to determine SpO2. Generally speaking, such measurement is described in more detail in the following co-pending patent applications, the contents of which are incorporated herein by reference: NECK-WORN PHYSIOLOGICAL MONITOR, U.S. Ser. No. 62/049,279, filed Sep. 11, 2014; NECKLACE-SHAPED PHYSIOLOGICAL MONITOR, U.S. Ser. No. 14/184,616, filed Feb. 19, 2014; and BODY-WORN SENSOR FOR CHARACTERIZING PATIENTS WITH HEART FAILURE, U.S. Ser. No. 14/145,253, filed Dec. 31, 2013, FLOORMAT PHYSIOLOGICAL SENSOR (U.S. Ser. No. ______, Filed ______); COMBINED FLOORMAT AND BODY-WORN PHYSIOLOGICAL SENSORS (U.S. Ser. No. ______, Filed ______); HANDHELD PHYSIOLOGICAL SENSOR (U.S. Ser. No. ______, Filed ______); PHYSIOLOGICAL MONITORING SYSTEM FEATURING FLOORMAT AND HANDHELD SENSOR (U.S. Ser. No. ______, Filed ______); and PHYSIOLOGICAL MONITORING SYSTEM FEATURING FLOORMAT AND WIRED HANDHELD SENSOR. In general and as explained in greater detail in these incorporated references, during an SpO2 measurement, the digital system alternately powers red and infrared LEDs within the dual-emitting LED 132. This process generates two distinct PPG waveforms. Using both digital and analog filters, the digital system extracts AC and DC components from the red (RED(AC) and RED(DC)) and infrared (IR(AC) and IR(DC)) PPG waveforms, which the digital system then processes to determine SpO2, as described in the above-referenced patent applications.
[0071] To measure TEMP, the handheld device 100 includes an infrared temperature sensor 136, which is mounted to an upper, forward-most portion of the circuit board 130. The infrared temperature sensor detects temperature looking outwardly from an upper, outer, forward-facing nose portion 138 of the cavity portion 105. More specifically, to measure TEMP, the handheld device 100 is held close to the patient's ear so that the outer portion 138 is adjacent to or pressed up against either the left or right ear. Because the temperature sensor is positioned where it is, the patient can take a temperature reading with the same device used to measure the other physiological parameters, and without even having to remove the device from his or her hand to do so. In this configuration, the infrared temperature sensor 136 detects infrared radiation (e.g. blackbody radiation) emitted from inside the ear, which it then converts to a temperature value using techniques known in the art. Suitably, the temperature sensor 136 is a fully digital system, meaning it receives the infrared radiation with an internal photodetector and, using an internal digital system, converts this to a temperature value that it sends through a serial interface (e.g. one based on a conventional UART or I2C interface) for follow-on processing.
[0072] A multi-color status LED assembly 175 indicates when the device turns on, a measurement is being taken, a measurement is complete, and data are being transmitted through Bluetooth. The multi-color status LED assembly 175 can change color and blink at different frequencies to indicate these states.
[0073] The C-shaped, wrist-receiving portion 104 is configured to measure physiological parameters using two complementary measurement modalities. According to one modality, the C-shaped portion measures BP, e.g. SYS, DIA, and MAP, by direct sensing of pressure. To that end, the wrist-receiving portion 104 includes a pair of inflatable/deflatable, elastomeric bladders 140A,B, which are mounted on or supported by the two generally parallel, spaced-apart walls or wings 101a, 101b that extend from the base 101c of the wrist-receiving portion 104; the walls form the space or opening in which the patient's wrist is received, as noted above and as illustrated in
[0074] A small pneumatic pump system 142, controlled by the digital system on the circuit board 130, inflates the bladders 140A,B to measure BP. In general, such pump systems are known in the art for use in connection with blood-pressure monitors such as those typically sold for home use. The pump system 142 includes a diaphragm pump; a solenoid-controlled valve to maintain or release pressure within the bladders; and suitable airline tubing leading into the bladders.
[0075] Gradual inflation of the bladders 140A,B slowly compresses the patient's radial artery. As it compresses, heartbeat-induced blood-flow within the artery generates slight pressure pulsations. These create a small pressure increase in the bladders that are detected by a pressure-measuring system (not shown in the figure) within the circuit board 130, as known in the art. This yields a pressure waveform that features amplitudes of the pressure pulsations plotted against the pressure applied by the inflatable bladders 140A,B. The pressure waveform typically features a bell-shaped curve when the amplitude of each pressure pulsation is plotted against the pressure applied. The digital system processes the bell-shaped curve to determine blood pressure according to the well-known technique of oscillometry. Such a technique is described in detail in the following co-pending patent applications, the contents of which have been previously incorporated herein by reference: NECK-WORN PHYSIOLOGICAL MONITOR, U.S. Ser. No. 62/049,279, filed Sep. 11, 2014; NECKLACE-SHAPED PHYSIOLOGICAL MONITOR, U.S. Ser. No. 14/184,616, filed Feb. 19, 2014; and BODY-WORN SENSOR FOR CHARACTERIZING PATIENTS WITH HEART FAILURE, U.S. Ser. No. 14/145,253, filed Dec. 31, 2013, FLOORMAT PHYSIOLOGICAL SENSOR (U.S. Ser. No. ______, Filed ______); COMBINED FLOORMAT AND BODY-WORN PHYSIOLOGICAL SENSORS (U.S. Ser. No. ______, Filed ______); HANDHELD PHYSIOLOGICAL SENSOR (U.S. Ser. No. ______, Filed ______); PHYSIOLOGICAL MONITORING SYSTEM FEATURING FLOORMAT AND HANDHELD SENSOR (U.S. Ser. No. ______, Filed ______); and PHYSIOLOGICAL MONITORING SYSTEM FEATURING FLOORMAT AND WIRED HANDHELD SENSOR. To summarize, MAP corresponds to the applied pressure that yields the maximum amplitude of the bell-shaped curve. SYS and DIA are determined, respectively, from applied pressures that yield well-defined amplitudes on the high-pressure and low-pressure sides of MAP. More specifically, SYS typically corresponds to the applied pressure that yields a pulse amplitude on the high-pressure side of MAP that, when divided by the pulse amplitude corresponding to MAP, has a ratio of about 0.4. DIA typically corresponds to the applied pressure that yields a pulse amplitude on the low-pressure side of MAP that, when divided by the pulse amplitude corresponding to MAP, has a ratio of 0.6. Other ratios can also be used to calculate SYS and DIA according to oscillometry.
[0076] During inflation, patches of conductive fabric disposed on the outer, wrist-contacting surface of the bladders 140A,B detect bio-electric signals. These are processed by analog circuitry associated on the circuit board 130 to generate ECG and TBI waveforms, as described in more detail below.
[0077] The handheld device 100 can also measure blood pressure according to an alternative direct-pressure-based technique. This technique involves monitoring PPG waveforms generated by the SpO2 measuring system (i.e., by either red or infrared wavelengths emitted by the dual-emitting LED 132 and detected by the photodetector 134) while the inflatable bladders 140A,B apply pressure to the patient's radial artery. Here, the applied pressure slowly reduces blood flow through the artery, causing heartbeat-induced PPG-waveform pulsations (i.e. pulsations in the RED(AC) or IR(AC) components of the PPG waveforms) to slowly increase, and then gradually decrease. As with oscillometry, the maximum amplitude of the pulsations typically corresponds to an applied pressure equal to MAP. The pulsations are completely eliminated when the applied pressure is equal to SYS, since at this pressure the radial artery is fully occluded, thus ceasing all blood flow. DIA can be determined from MAP and SYS using equations described in the above-referenced patent applications, the contents of which have been previously incorporated herein by reference.
[0078] The other modality by which the C-shaped, wrist-receiving portion 104 measures physiological parameters is by processing bioelectric signals. In particular, the two pairs of cloth electrodes are provided to measure bioelectric signals, which then pass to the associated analog circuitry provided on the circuit board 130. The analog circuitry processes the signals to generate ECG and TBI waveforms, which the analog-to-digital converter and microprocessor then, respectively, digitize and process to determine HR and HRV, RR, SV, CO, and TFC. As indicated above, one pair of electrodes is located within the C-shaped wrist-receiving portion 104, and these electrodes are arranged to contact the patient's wrist when it is received within the space or opening of that portion. The other pair of cloth electrodes 160A, 160B is located along the bottom surface 110 of the wrist-receiving portion 104. During use the electrodes 160A, 160B contact a second portion of the patient (e.g. belly button) to establish the conduction pathway 210 as described above.
[0079] Believed to be unique to the handheld sensor 100, the wrist-contacting electrodes 150A, 150B are coincident with (i.e., overlie) the inflatable bladders 140A, 140B, respectively, such that the overall system includes what are effectively inflatable electrodes. As a result, when the bladders are inflated in connection with measuring BP via direct, mechanical measurement of pressure, the electrodes are pressed firmly against the patient's skin, thereby enhancing electrical contact and accuracy/reliability of the electrophysiological measurements being taken. Additionally, such an arrangement facilitates the compact, self-contained form factor of the handheld sensor 100.
[0080] To this end, and as shown in more detail in
[0081] As described above, the electrodes 150A,B and 160A,B are used to measure time-dependent ECG and TBI waveforms, and the digital system within the circuit board 130, in turn, processes the ECG and TBI waveforms to determine the above-enumerated values (HR and HRV, RR, SV, CO, and TFC). During a measurement, one electrode (e.g., 150B) in the C-shaped wrist-receiving portion 104 and one electrode (e.g., 160B) on the bottom surface 110 measure signals that the digital system processes using differential amplification to determine an ECG waveform. This waveform features heartbeat-induced pulses that, informally, mark the beginning of the cardiac cycle. Typically, the pulses include a sharp feature, called a QRS complex, which indicates electrical activity in the heart. The time separating neighboring QRS complexes is inversely related to the patient's HR. Typically, HR is calculated from a collection of QRS complexes spanning a short period of time, e.g. 30 seconds. The variation in heart rate determined during this period is the HRV, which is known to relate to cardiac function.
[0082] The handheld device's bio-impedance measurement system shares electrodes with the ECG measurement system. For bio-impedance, one electrode (e.g., 150A) in the C-shaped wrist-receiving portion 104 and one electrode (e.g., 160A) on the bottom surface 110 of the device inject a high-frequency (e.g., 100 kHz), low-amplitude (e.g., 6 mA) current into the patient's body. The current injected by the two electrodes 150A, 160A is out of phase by 180. The other two electrodes (e.g., 150B, 160B) measure a voltage that, with follow-on processing, indicates the resistance (or impedance) encountered by the injected current. The voltage relates to the resistance (or impedance) through Ohms Law. Typically, a bio-impedance circuit within the circuit board measures TBI waveforms, which are separated into an AC waveform that features relatively high-frequency features (typically called Z(t)), and a DC waveform that features relatively low-frequency features (typically called Z.sub.0). This technique for measuring Z(t) and Z.sub.0, called bio-impedance, is described in detail in the following co-pending patent applications, the contents of which have been previously incorporated herein by reference: NECK-WORN PHYSIOLOGICAL MONITOR, U.S. Ser. No. 62/049,279, filed Sep. 11, 2014; NECKLACE-SHAPED PHYSIOLOGICAL MONITOR, U.S. Ser. No. 14/184,616, filed Feb. 19, 2014; and BODY-WORN SENSOR FOR CHARACTERIZING PATIENTS WITH HEART FAILURE, U.S. Ser. No. 14/145,253, filed Dec. 31, 2013, FLOORMAT PHYSIOLOGICAL SENSOR (U.S. Ser. No. ______, Filed ______); COMBINED FLOORMAT AND BODY-WORN PHYSIOLOGICAL SENSORS (U.S. Ser. No. ______, Filed ______); HANDHELD PHYSIOLOGICAL SENSOR (U.S. Ser. No. ______, Filed ______); PHYSIOLOGICAL MONITORING SYSTEM FEATURING FLOORMAT AND HANDHELD SENSOR (U.S. Ser. No. ______, Filed ______); and PHYSIOLOGICAL MONITORING SYSTEM FEATURING FLOORMAT AND WIRED HANDHELD SENSOR.
[0083] Physiological processes within the body modulate Z(t) and Z.sub.0 waveforms generated by the handheld device's bio-impedance measurement system. Thus processing these waveforms can yield parameters that correspond to the physiological processes. As shown in
[0084] Blood is a decent electrical conductor, and thus blood pumped by the heart's left ventricle into the aorta modulates impedance in the thoracic cavity 220 (as well as other regions spanned by the conduction pathway 201, e.g. the brachial artery located in the patient's bicep). These modulations manifest as heartbeat-induced cardiac pulses on the Z(t) waveform. They can be processed to determine SV as described in detail in the following co-pending patent applications, the contents of which have been previously incorporated by reference: NECK-WORN PHYSIOLOGICAL MONITOR, U.S. Ser. No. 62/049,279, filed Sep. 11, 2014; NECKLACE-SHAPED PHYSIOLOGICAL MONITOR, U.S. Ser. No. 14/184,616, filed Feb. 19, 2014; and BODY-WORN SENSOR FOR CHARACTERIZING PATIENTS WITH HEART FAILURE, U.S. Ser. No. 14/145,253, filed Dec. 31, 2013, FLOORMAT PHYSIOLOGICAL SENSOR (U.S. Ser. No. ______, Filed ______); COMBINED FLOORMAT AND BODY-WORN PHYSIOLOGICAL SENSORS (U.S. Ser. No. ______, Filed ______); HANDHELD PHYSIOLOGICAL SENSOR (U.S. Ser. No. ______, Filed ______); PHYSIOLOGICAL MONITORING SYSTEM FEATURING FLOORMAT AND HANDHELD SENSOR (U.S. Ser. No. ______, Filed ______); and PHYSIOLOGICAL MONITORING SYSTEM FEATURING FLOORMAT AND WIRED HANDHELD SENSOR. The handheld device determines CO, which is the product of SV and HR, using a simple calculation.
[0085] Fluids (e.g. TFC) also conduct the injected current. Thus, fluids that accumulate in the thoracic cavity 220 affect the impedance within the conduction pathway 201 in a low-frequency (i.e. slowly changing) manner, and can be detected by processing the Z.sub.0 waveform. Typically, the Z.sub.0 waveform features an average value of between about 10-30 Ohms, with 10 Ohms indicating relatively low impedance and thus high fluid content (e.g. the patient is wet), and 30 Ohms indicating a relatively high impedance and thus low fluid content (e.g. the patient is dry). Time-dependent changes in the average value of Z.sub.0 can indicate that the patient's fluid level is either increasing or decreasing. An increase in fluid level, for example, may indicate the onset of CHF.
2. Other MeasurementsBioreactance
[0086] Other measurement systems can be incorporated into the handheld device 100. For example, the cloth electrodes 150A,B, 160A,B described above, coupled with an additional circuit that measures a phase change in the injected current, can also be used to perform a measurement called bio-reactance. During a bio-reactance measurement, the phase difference between the injected currents and the detected currents is measured by the bio-reactance circuit and ultimately processed with the digital system on the circuit board to generate a bio-reactance waveform. The difference in phase in the bio-reactance waveform is due to the current being slowed down by the capacitive properties of cell membranes within the conduction pathway 210. The baseline phase difference, a, is estimated from the DC component of the bio-reactance waveform. a is used to calculate tissue composition, described in more detail below. The AC component of the waveform can be used to track respiration and cardiac function as described above.
[0087] Bio-reactance, when combined with bio-impedance, can be used to measure physiological parameters related to body composition (e.g. fat, muscle, and fluid in the patient's body) and the progression of disease states. More specifically, bio-impedance and bio-reactance measurements analyze the resistance and reactance of the user's tissuealong with biometric parameters such as height, weight and ageto generate accurate estimates of the composition of the tissue in the abdomen, chest, and arm. Height, weight, and age, for example, can be input to the GUI of the patient's mobile device, and wirelessly transmitted to the handheld device for follow-on analysis.
[0088] a and Z.sub.0 are then used to calculate the resistance (Z.sub.0 cos(a)) and the reactance (Z.sub.0 sin(a)) of the tissue in the abdomen, chest, and right arm. Resistance and reactance have been shown to be predictive of tissue composition. For example, fatty tissue is far more conductive than fat-free tissue. Therefore, a tissue's resistance is largely governed by the mass of the fat-free tissue present. This makes the inverse of a tissue's resistance a good estimator of that tissue's fat-free mass. Similarly, cell membranes have capacitive properties that cause phase changes in current that passes through the body. The greater the concentration of cells in the tissue, the greater the change in phase. When coupled with resistance, reactance can thus distinguish changes in fat from changes in fluid due to the differences in the cellularity of fat and extracellular fluid. Specifically, it has been shown that resistance and reactancecoupled with height, weight and agecan predict fat-free mass and body-fat mass as accurately as the gold-standard methodair displacement plethysmography. This is described in the following journal article, the contents of which are incorporated herein by reference: Body fat measurement by bioelectrical impedance and air displacement plethysmography: a cross-validation study to design bioelectrical impedance equations in Mexican adults; Nutrition Journal; 6: (2007). When fat-free mass, body-fat mass, and weight are measured, the root cause of changes in weight can be identified. Changes in fluid retention can signal the onset or reoccurrence of numerous medical conditions, such as CHF and ESRD. By measuring both reactance and resistance, the handheld device can distinguish changes in fluid retention from changes in tissue mass. This enables reliable tracking of this important parameter at home, on a daily basis.
3. Other MeasurementsPulse Transit Time
[0089] As shown in
[0090] Thus detection and analysis of each of the above-described pulsatile components indicates blood flow through the patient's body. More specifically, the digital system in the handheld component can analyze the pulsatile components to determine parameters such as pulse arrival time (PAT), pulse transit time (PTT), and vascular transit time (VTT). Such transit times can be used, for example, to calculate blood pressure, e.g. SYS, DIA, and MAP. This methodology is described in more detail in the following co-pending patent applications, the contents of which have been previously incorporated herein by reference: NECK-WORN PHYSIOLOGICAL MONITOR, U.S. Ser. No. 62/049,279, filed Sep. 11, 2014; NECKLACE-SHAPED PHYSIOLOGICAL MONITOR, U.S. Ser. No. 14/184,616, filed Feb. 19, 2014; and BODY-WORN SENSOR FOR CHARACTERIZING PATIENTS WITH HEART FAILURE, U.S. Ser. No. 14/145,253, filed Dec. 31, 2013, FLOORMAT PHYSIOLOGICAL SENSOR (U.S. Ser. No. ______, Filed ______); COMBINED FLOORMAT AND BODY-WORN PHYSIOLOGICAL SENSORS (U.S. Ser. No. ______, Filed ______); HANDHELD PHYSIOLOGICAL SENSOR (U.S. Ser. No. ______, Filed ______); PHYSIOLOGICAL MONITORING SYSTEM FEATURING FLOORMAT AND HANDHELD SENSOR (U.S. Ser. No. ______, Filed ______); and PHYSIOLOGICAL MONITORING SYSTEM FEATURING FLOORMAT AND WIRED HANDHELD SENSOR.
[0091] To summarize,
[0092] Z(t) pulses follow the QRS complex by about 100 ms and indicate blood flow through arteries in the region of the body where the cloth electrodes make contact with the skin. During a heartbeat, blood flows from the patient's left ventricle into the aorta; the volume of blood that leaves the ventricle is the SV. Blood flow periodically enlarges this vessel, which is typically very flexible, and also temporarily aligns blood cells (called erythrocytes) from their normally random orientation. Both the temporary enlargement of the vessel and alignment of the erythrocytes improves blood-based electrical conduction, thus decreasing the electrical impedance as measured with Z(t). The d(Z(t))/dt waveform (plot 306) shown in
[0093] A variety of time-dependent parameters can be extracted from the ECG and TBI waveforms. For example, as noted above, it is well know that HR can be determined from the time separating neighboring ECG QRS complexes. Likewise, left ventricular ejection time (LVET) can be measured directly from the derivative of pulses within the Z(t) waveform, and is determined from the onset of the derivatized pulse to the first positive-going zero crossing. Also measured from the derivatized pulses in the Z(t) waveform is (dZ(t))/dt).sub.max, which is a parameter used to calculate SV as described above.
[0094] The time difference between the ECG QRS complex and the peak of the derivatized Z(t)waveform represents a pulse arrival time PAT, as indicated in
[0095] PAT correlates inversely to SYS, DIA, and MAP, which can be calculated as described in the above-referenced patent applications using patient-specific slopes for SYS and DIA, measured during a calibration measurement. (Such a measurement can, for example, be performed with the inflatable bladders and optical systems described above.) Without the calibration, PAT only indicates relative changes in SYS, DIA, and MAP. The calibration yields both the patient's immediate values of these parameters. Multiple values of PAT and blood pressure can be collected and analyzed to determine patient-specific slopes, which relate changes in PAT with changes in SYS, DIA, and MAP. The patient-specific slopes can also be determined using pre-determined values from a clinical study, and then combining these measurements with biometric parameters (e.g. age, gender, height, weight) collected during the clinical study.
[0096] In embodiments of the handheld device, waveforms like those shown in
[0097] Pulse pressure (PP) can be used to calculate DIA from SYS, and can be estimated from either the absolute value of SV, SV modified by another property (e.g. LVET), or the change in SV. In the first method, a simple linear model is used to process SV (or, alternatively, SVLVET) and convert it into PP. The model uses the instant values of PP and SV, determined as described above from a calibration measurement, along with a slope that relates PP and SV (or SVLVET) to each other. The slope can be estimated from a universal model that, in turn, is determined using a population study.
[0098] Alternatively, a slope tailored to the individual patient can be used. Such a slope can be selected, for example, using biometric parameters characterizing the patient as described above.
[0099] Here, PP/SV slopes corresponding to such biometric parameters are determined from a large population study and then stored in computer memory on the handheld device. When a device is assigned to a patient, their biometric data is entered into the system, e.g. using a GUI operating on a mobile device, that transmits the data to the handheld device via Bluetooth. Then, an algorithm processes the data and selects a patient-specific slope. Calculation of PP from SV is explained in the following reference, the contents of which are incorporated herein by reference: Pressure-Flow Studies in Man. An Evaluation of the Duration of the Phases of Systole, Harley et al., Journal of Clinical Investigation, Vol. 48, p. 895-905, 1969. As explained in this reference, the relationship between PP and SV for a given patient typically has a correlation coefficient r that is greater than 0.9, which indicates excellent agreement between these two properties. Similarly, in the above-mentioned reference, SV is shown to correlate with the product of PP and LVET, with most patients showing an r value of greater than 0.93 and the pooled correlation value (i.e., the correlation value for all subjects) being 0.77. This last value indicates that a single linear relationship between PP, SV, and LVET may hold for all patients.
[0100] More preferably, PP is determined from SV using relative changes in these values. Typically, the relationship between the change in SV and change in PP is relatively constant across all subjects. Thus, similar to the case for PP, SV, and LVET, a single, linear relationship can be used to relate changes in SV and changes in PP. Such a relationship is described in the following reference, the contents of which are incorporated herein by reference: Pulse pressure variation and stroke volume variation during increased intra-abdominal pressure: an experimental study, Didier et al., Critical Care, Vol. 15:R33, p. 1-9, 2011. Here, the relationship between PP variation and SV variation for 67 subjects displayed a linear correlation of r=0.93, which is an extremely high value for pooled results that indicates a single, linear relationship may hold for all patients.
[0101] From such a relationship, PP can be determined from the impedance-based SV measurement, and SYS can be determined from PAT. DIA can then be calculated from SYS and PP.
[0102] Another parameter, VTT, can be determined from pulsatile components in the Z(t) (or d(Z(t))/dt) waveform and the PPG (or d(PPG)/dt) waveform.
[0103] In general, the overarching purpose of a handheld device according to the invention, as described above, is to make daily measurements of a wide range of physiological parameters that, in turn, can be analyzed to diagnose specific disease states. As described above, it is often the time-dependent trends in the physiological parameters that provide the best indication of such disease states. In general, it is a collection of trends in multiple physiological parameters that often serve as the best marker for the onset of disease states. In this regard,
4. Other Embodiments
[0104] Other embodiments are within the scope of the invention. For example, measurement electronics used within the handheld device can be packaged in form factors that differ from those described above. Such form factors should make measurements along a suitably long conduction pathway. This pathway can also be different than that described above. For example, it may begin in the chest (as opposed to the belly button) or shoulder, and terminate in the fingers (as opposed to the wrist).
[0105] The handheld device can also be coupled to other systems that measure other parameters from a patient. Here, coupled typically means information passes between the handheld device and the other systems through a wired or, more preferably, wireless interface. For example, the device can be coupled to a weight-measuring device through a Bluetooth or WiFi interface. The weight-measuring device can be a standard weight scale, or a digital floormat as described in the following co-pending patent applications, the contents of which have been previously incorporated herein by reference: NECK-WORN PHYSIOLOGICAL MONITOR, U.S. Ser. No. 62/049,279, filed Sep. 11, 2014; NECKLACE-SHAPED PHYSIOLOGICAL MONITOR, U.S. Ser. No. 14/184,616, filed Feb. 19, 2014; and BODY-WORN SENSOR FOR CHARACTERIZING PATIENTS WITH HEART FAILURE, U.S. Ser. No. 14/145,253, filed Dec. 31, 2013, FLOORMAT PHYSIOLOGICAL SENSOR (U.S. Ser. No. ______, Filed ______); COMBINED FLOORMAT AND BODY-WORN PHYSIOLOGICAL SENSORS (U.S. Ser. No. ______, Filed ______); HANDHELD PHYSIOLOGICAL SENSOR (U.S. Ser. No. ______, Filed ______); PHYSIOLOGICAL MONITORING SYSTEM FEATURING FLOORMAT AND HANDHELD SENSOR (U.S. Ser. No. ______, Filed ______); and PHYSIOLOGICAL MONITORING SYSTEM FEATURING FLOORMAT AND WIRED HANDHELD SENSOR.
[0106] In other embodiments, the device may include a flexible or bendable neck, e.g., to accommodate various dimensions and/or geometries of the fingers relative to the hand. In such embodiments, the joint connecting the finger-receiving, oximetry-sensor portion of the device and the wrist-receiving, inflatable-bladder portion of the device would house a flex circuit connecting the circuitry in the neck to that in the base of the device. The joint can be composed of an elastic material (e.g. rubber) such that the neck can be extended further and moved closer to the bladder. Similarly, in still further embodiments, the walls or wings on which the inflatable bladders are supported could be joined to the base or bottom of the wrist-receiving portion of the device by more flexible joints. Since there is no circuitry within the walls or wings, no flex circuit would be required; instead a simple elastic material (e.g., a solid rubber boot) would allow the wings to flex and bend outwards in order to accommodate patients of varying wrist size.
[0107] In further embodiments, the device may have a hinged oximetry sensor. The sensor would have a hinge near the tip of the thumb such that it clamps down on the patient's thumb (like a spring-loaded clothespin) and applies a constant pressure to this appendage. This would ensure that the sensor accommodates patients of varying thumb size, and may also improve the signal-to-noise ratio of the PPG waveform it measures.
[0108] In further embodiments, the device may include a cuff-like mechanism that completely encircles the patient's wrist, instead of the wings or arms that only partially encircle it. The cuff could be composed of an elastic material (e.g. rubber) or an inelastic material (e.g. nylon) that wraps around the patient's wrist, with a fastening mechanism at the top (e.g. Velcro, magnet). The circuitry would still be located in the base of the cuff, and a rigid material (e.g. plastic) would house it for protection. In other embodiments, the device may be entirely constructed of a flexible material (e.g. rubber), with rigid components only housing the main circuitry and flex circuits linking the circuit in the cuff to the circuit in the oximetry sensor. In other embodiments, the device may take on more of a fingerless-glove-like form, covering the entire hand, wrist and thumb of the patient. This embodiment would still require some rigid material housing the main circuitry of the device and the oximetry sensor.
[0109] In still further embodiments, the device may have a wrist cuff and a flexible cord or wire connecting the optical sensor on the thumb. The cord or wire could connect the oximetry sensor to the main circuitry in the wrist cuff, similar to other embodiments. The wrist cuff would have to fully enclose the patient's wrist, since it is no longer held in place by the rigidity of the form factor. In this sense, it would need a fastening mechanism (i.e. Velcro, magnet) to hold the cuff close around the patient's wrist.
[0110] In other embodiments the exterior electrodes could be positioned to facilitate making contact with other parts of the body to obtain the same measurements. For example, the exterior electrodes could be pressed against the patient's chest. In other embodiments, the electrodes could be constructed with another conductive material other than foam or inflatable rubber covered in conductive fabrics. Such materials include stainless steel, transparent conductive film, rubber, copper, silver, tungsten, aluminum, zinc, iron, platinum, tin, lead, titanium, carbon steel. Both the electrodes on the wrist and the exterior electrodes can be made of a variety of conductive materials, however, flexible and forgiving materials provide adaptability for patients of varying wrist size such that the electrodes still make consistent, firm contact with the patient's skin.
[0111] In other embodiments, the handheld device described above can integrate with a patch that directly adheres to a portion of a patient's body, or a necklace that drapes around the patient's neck. The patch would be similar in form to the necklace's base, although it may take on other shapes and form factors. It would include most or all of the same sensors (e.g. sensors for measuring ECG, TBI, and PPG waveforms) and computing systems (e.g. microprocessors operating algorithms for processing these waveforms to determine parameters such as HR, HRV, RR, BP, SpO2, TEMP, CO, SV, fluids) as the base of the necklace. However unlike the system described above, the battery to power the patch would be located in or proximal to the base, as opposed to the strands in the case of the necklace. Also, in embodiments, the patch would include a mechanism such as a button or tab functioning as an on/off switch. Alternatively, the patch would power on when sensors therein (e.g. ECG or temperature sensors) detect that it is attached to a patient.
[0112] In typical embodiments, the patch includes a reusable electronics module (shaped, e.g., like the base of the necklace) that snaps into a disposable component that includes electrodes similar to those described above. The patch may also include openings for optical and temperature sensors as described above. In embodiments, for example, the disposable component can be a single disposable component that receives the reusable electronics module. In other embodiments, the reusable electronics module can include a reusable electrode (made, e.g., from a conductive fabric or elastomer), and the disposable component can be a simple adhesive component that adheres the reusable electrode to the patient.
[0113] In preferred embodiments the patch is worn on the chest, and thus includes both rigid and flexible circuitry, as described above. In other embodiments, the patch only includes rigid circuitry and is designed to fit on other portions of the patient's body that is more flat (e.g. the shoulder).
[0114] In embodiments, for example, the system described above can calibrate the patch or necklace for future use. For example, the handheld device can determine a patient-specific relationship between transit time and blood pressure, along with initial values of SYS, DIA, and MAP. Collectively these parameters represent a cuff-based calibration for blood pressure, which can be used by the patch or necklace for cuffless measurements of blood pressure. In other embodiments, the handheld device can measure a full-body impedance measurement and weight. These parameters can be wirelessly transmitted to the necklace or patch, where they are used with their impedance measurement to estimate full-body impedance (e.g. during a dialysis session). Additionally, during the dialysis session, the necklace or patch can use the values of full-body impedance and weight to estimate a progression towards the patient's dry weight.
[0115] These and other embodiments of the invention are deemed to be within the scope of the following claims.