A device including an array of electrodes generates one or more electrical signals from a user, extracts one or more noise signals, and generates one or more de-noised electrical signals upon processing the electrical signal(s) with the noise signal(s). The array of electrodes is coupled to a surface of the device, where the device also includes force sensors in mechanical communication with the surface for detecting user weight and other forces. The device can be configured to generate electrical signals from different subportions of the array of electrodes and to extract noise signals from different subportions of the array of electrodes, where the subportion(s) for electrical signal generation may or may not overlap with the subportion(s) of electrodes for noise signal extraction.

The present disclosure relates to a method for measuring multidimensional dynamics of cardiac activity comprising simultaneous measurement of three dimensional ECG, three dimensional impedance rheometry, tissue motion, wherein the tissue motion measurement is performed with a sensor placed outside the patient body selected from among sensors including: membrane, auscultation funnel, accelerometer, microphone, piezoelectric sensor, wherein the impedance rheometry measurement includes simultaneous generation of applied current of different frequencies for three orthogonal axes and an impedance measurement for the same or other three orthogonal axes, and wherein the impedance rheometry measurement and the ECG measurement are carried out for the same three orthogonal axes.

The present disclosure further relates to a device for implementation of the method.

A measurement station includes an electrocardiogram acquisition system, two control electrodes configured to contact a user, and an electrical connection circuit, the electrical connection circuit comprising a feedback loop connected to the two control electrodes.

The invention provides a multi-sensor system that uses an algorithm based on adaptive filtering to monitor a patient's respiratory rate. The system features a first sensor selected from the following group: i) an impedance pneumography sensor featuring at least two electrodes and a processing circuit configured to measure an impedance pneumography signal; ii) an ECG sensor featuring at least two electrodes and an ECG processing circuit configured to measure an ECG signal; and iii) a PPG sensor featuring a light source, photodetector, and PPG processing circuit configured to measure a PPG signal. Each of these sensors measures a time-dependent signal which is sensitive to respiratory rate and, during operation, is processed to determine an initial respiratory rate value. An adaptive digital filter is determined from the initial respiratory rate. The system features a second sensor (e.g. a digital 3-axis accelerometer) that attaches to the patient's torso and measures an ACC signal indicating movement of the chest or abdomen that is also sensitive to respiratory rate. This second signal is processed with the adaptive filter to determine a final value for respiratory rate.

An electronic system for bioimpedance signal acquisition, comprises: a current signal injection module configured for generating a current signal to be applied to a subject; a bioimpedance signal measurement module configured for measuring a bioimpedance signal based on a voltage generated by the current signal; a data quality detection module configured for detecting an AC or a DC level of the measured bioimpedance signal and detecting whether the AC or DC level is within or outside an AC reference value range and a DC reference value range, respectively; and a signal adaptation module configured for modifying at least one parameter of the current signal injection module or the bioimpedance signal measurement module based on said detection of the AC or DC level in relation to the AC reference value range and the DC reference value range, respectively.

An electronic system for bioimpedance signal acquisition, comprises: a current signal injection module configured for generating a current signal to be applied to a subject; a bioimpedance signal measurement module configured for measuring a bioimpedance signal based on a voltage generated by the current signal; a data quality detection module configured for detecting an AC or a DC level of the measured bioimpedance signal and detecting whether the AC or DC level is within or outside an AC reference value range and a DC reference value range, respectively; and a signal adaptation module configured for modifying at least one parameter of the current signal injection module or the bioimpedance signal measurement module based on said detection of the AC or DC level in relation to the AC reference value range and the DC reference value range, respectively.

A method, intended for the evaluation of the quality of at least one periodic or quasi-periodic physiological signal, which includes the steps of: segmenting the physiological signal temporally into a plurality of signal segments; for each given signal segment, determining a distance representative of a shape difference between the given signal segment and at least one signal segment temporally offset relative to the given signal segment; and determining a quality index of the given signal segment according to the distance determined for the given signal segment.

A modular wristband and sensor system and method of using the same are disclosed. The system uses top and bottom sensor modules that contain conductive ports for connection to wristbands' conductive ports. The wristbands' conductive ports are electrically connected to wires embedded within each wristband segment. These allow for the transfer of data and power between the bands and the top and bottom sensor modules. Having power and data conducted through wristbands into sensors makes it possible for wristband sensors to have swappable bands while maintaining connectivity. Other embodiments include a wristband that includes swappable top and bottom sensor modules communicating wirelessly with each other.

A modular wristband and sensor system and method of using the same are disclosed. The system uses top and bottom sensor modules that contain conductive ports for connection to wristbands' conductive ports. The wristbands' conductive ports are electrically connected to wires embedded within each wristband segment. These allow for the transfer of data and power between the bands and the top and bottom sensor modules. Having power and data conducted through wristbands into sensors makes it possible for wristband sensors to have swappable bands while maintaining connectivity. Other embodiments include a wristband that includes swappable top and bottom sensor modules communicating wirelessly with each other.

An example monitoring device for detecting and measuring a vital sign of a subject includes: a base; a battery mounted to the base; first and second transceivers attached to the base at opposing angles, and powered by the battery to transmit pulses and receive reflected pulses; an antenna powered by the battery, and configured to wirelessly transmit data acquired from the first and second transceivers; and a computing device powered by the battery, and operatively coupled to the first and second transceivers and the antenna, the computing device having a processing device and a memory storing instructions that, when executed by the processing device, cause the monitoring device to determine a respiration rate by detecting a cyclical change in distance based on the reflected pulses.