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.

A physiological monitoring system features a Floormat and Handheld Sensor connected by a cable. A user stands on the Floormat and grips the Handheld Sensor. These components measure time-dependent physiological waveforms from a user over a conduction pathway extending from the user's hand or wrist to their feet. The Handheld Sensor and Floormat use a combination of electrodes that inject current into the user's body and collect bioelectric signals that, with processing, yield ECG, impedance, and bioreactance waveforms. Simultaneously, the Handheld Sensor measures photoplethysmogram waveforms with red and infrared radiation and pressure waveforms from the user's fingers and wrist, while the Floormat measures signals from load cells to determine force waveforms to determine the user's weight, and ballistocardiogram waveforms to determine parameters related to cardiac contractility. Processing these waveforms with algorithms running on a microprocessor yield the vital sign, hemodynamic, and biometric parameters.

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.

A method of detecting an early onset of neurocardiogenic syncope in a patient uses respiratory functions as a predictor of the syncope. According to the method, at least one sample of baseline minute ventilation, tidal volume and respiratory rate of the patient is obtained. The detection unit is set to detect an increase in tidal volume and in minute ventilation over a predetermined respiratory period. The detecting unit also detects any rate of change in respiratory rate and sends a signal to a microprocessor to determine whether the increase in minute ventilation is a sole function of increased tidal volume. The impending syncope is diagnosed if variance in respiratory rate is less than 25% in relation to the sampled baseline during the predetermined period of time.

An input device includes two conductors that are sewn onto a fiber sheet and an output unit configured to determine an impedance variation in a predetermined area on the basis of a voltage value between the two conductors to which a high-frequency current is applied.

A device to measure tissue impedance comprises drive circuitry coupled to calibration circuitry, such that a calibration signal from the calibration circuitry corresponds to the current delivered through the tissue. Measurement circuitry can be coupled to measurement electrodes and the calibration circuitry, such that the tissue impedance can be determined in response to the measured calibration signal from the calibration circuitry and the measured tissue impedance signal from the measurement electrodes. Processor circuitry comprising a tangible medium can be configured to determine a complex tissue impedance in response to the calibration signal and the tissue impedance signal. The processor can be configured to select a frequency for the drive current, and the amount of drive current at increased frequencies may exceed a safety threshold for the drive current at lower frequencies.

An adhesive plaster module which has an adhesive layer for adhering to an object includes a substrate having the adhesive layer, a switch mounted on a same side of the substrate as the adhesive layer, a battery mounted on an opposite side of the substrate from the adhesive layer, and an electronic component mounted on the opposite side of the substrate from the adhesive layer, and configured to operate with power supplied from the battery upon the switch becoming conductive, wherein the switch is configured to be nonconductive while the adhesive layer is not attached to the object, and configured to become conductive in response to attaching the adhesive layer to the object.

An apparatus includes a medical device that includes a cardiopulmonary resuscitation (CPR) treatment feedback device, a memory, and at least one processor and a plurality of electrodes configured to provide at least an electrical impedance signal to the processor. The electrical impedance signal correspond to an electrical impedance measured at a chest of a patient. The processor is configured to receive the electrical impedance signal, process the electrical impedance signal to determine information representative of chest compressions performed by a rescuer on the patient during the CPR treatment of the patient, based on the processing, determine corrective action for the CPR treatment, and provide CPR treatment feedback comprising the corrective action at the CPR treatment feedback device.

A biological information monitoring system includes: a measuring circuitry configured acquire information on a potential difference between two first electrodes that is placed on a first thorax of a user, wherein the first thorax is in a symmetric position to a second thorax that is positioned at the same side as a heart of the user; a detection circuitry configured to detect a plurality of S wave peaks based on the information on the potential difference to generate time-series information on the plurality of S wave peaks; and a processing circuitry configured to determine respiratory information on the user based on the time-series information on the plurality of S wave peaks, and to output the respiratory information as biological information.

Various embodiments relate to a method, apparatus, system, and a computer program product for suppressing an oscillatory signal Sosc. In the method a composite signal S comprising said Sosc and a modulating signal Smod are provided and the S is high pass filtered to produce estimates of the Sosc and the Smod, wherein the estimate of the Sosc comprises first oscillations during a first state of the modulating signal and second oscillations during a second state of the modulating signal. A first bin associated with said first state and a second bin associated with said second state are defined and assigned for said first oscillation and the second bin for said second oscillation according to a state defined from the estimate of the Smod. A first average waveform for said first oscillations and a second average waveform for said second oscillations are formed and used to suppress the Sosc signal from the composite signal S.