An ultrasound cardiovascular measuring device may include an ultrasonic sensor system having an ultrasound transmitter layer configured to generate ultrasonic plane waves and a focusing layer that includes one or more lenses. One or more of the lenses may be configured to generate output signals corresponding to detected ultrasonic reflections. The measuring device may include a control system capable of processing the output signals to calculate values corresponding to one or more cardiovascular properties.

A system for calculating blood pressure may include a sensor system and a control system. The control system may be capable of controlling one or more sensors of the sensor system to take at least two measurements, the at least two measurements including at least one measurement taken at each of two or more different measurement elevations of a subject's limb. In some examples, the control system may be capable of determining a blood flow difference based on the at least two measurements, of determining a hydrostatic pressure difference based on the two or more different elevations of the at least two measurements and of estimating a blood pressure based on one or more values of blood flow, the hydrostatic pressure difference and the blood flow difference.

The invention provides a system and method for measuring vital signs (e.g. SYS, DIA, SpO2, heart rate, and respiratory rate) and motion (e.g. activity level, posture, degree of motion, and arm height) from a patient. The system features: (i) first and second sensors configured to independently generate time-dependent waveforms indicative of one or more contractile properties of the patient's heart; and (ii) at least three motion-detecting sensors positioned on the forearm, upper arm, and a body location other than the forearm or upper arm of the patient. Each motion-detecting sensor generates at least one time-dependent motion waveform indicative of motion of the location on the patient's body to which it is affixed. A processing component, typically worn on the patient's body and featuring a microprocessor, receives the time-dependent waveforms generated by the different sensors and processes them to determine: (i) a pulse transit time calculated using a time difference between features in two separate time-dependent waveforms, (ii) a blood pressure value calculated from the time difference, and (iii) a motion parameter calculated from at least one motion waveform.

A method of estimating a body temperature of an individual based on physiological data including a heart rate received from at least one sensor 510 and received environmental data. The physiological data and the environmental data are inputted into a model present on a processor 520. The model generates an estimated body temperature and an estimated physiological condition based on the inputs. The processor 520 compares the estimated physiological condition to a measured physiological condition in the physiological data. A controller 530 modifies at least one parameter in the model when the difference between the estimated physiological condition and the measured physiological condition is above a threshold.

A method and apparatus to receive data from a dual sleep sensor associated with a sleep surface, and analyzing the data to identify sleep phases of one or more users on the sleep surface. In one embodiment, the dual sleep sensor comprises two or more sensors positioned to enable separation of motion data of a first sleeper and a second sleeper.

According to a first aspect of the invention, an information processing apparatus includes an information acquisition unit configured to acquire first blood pressure information and second blood pressure information that is information earlier than the first blood pressure information, a blood pressure fluctuation detector configured to detect a blood pressure fluctuation exceeding a first reference value from the first and second blood pressure information, and a fluctuation information output unit configured to output blood pressure fluctuation information that reports the blood pressure fluctuation.

A wearable device and the accompanying method for the determination of continuous pulsatile BP are described. The absolute values can be obtained in the initial phase and how a transfer function can transform the BP-signal obtain at the finger or wrist to correct BP-values corresponding to the brachial artery and at heart level. The wearable device contains an orthostatic level-correcting element, which can measure the vertical distance between heart level and finger/wrist level, where the actual measurement takes places. The wearable device may be in the form of a ring, a watch, or a bracelet. Further, the wearable device has elements for wirelessly transmitting signals to host devices such as a smart phone, tablet or other computers.

An interstitial fluid glucose measuring device, system and method, the device including first and second cavities, both configured to be in fluid communication with interstitial fluid outside the cavities, the first and second pressure sensors being configured to sense the pressure in the first and second cavities, respectively. The first cavity includes an active solution and is defined in part by a first glucose porous membrane interfacing on one side of the interior of the first cavity and on the other side configured to interface with the interstitial body fluid. The active solution includes a lectin and a polysaccharide.

A pressure sensing catheter system includes a urethral catheter and a sensor array formed on the urethral catheter. The sensor array includes a plurality of pressure sensors distributed along a length of the urethral catheter. The sensor array is configured to produce a dynamic pressure distribution profile along a urethra.

There is provided a device and a method of operating the device for determining whether the device is immersed in a fluid. An acceleration signal for the device is acquired (302) and a pressure within the device is detected (304). It is determined whether the device is immersed in a fluid based on a comparison of the acquired acceleration signal with the detected pressure (306).