A biological information measurement device, including an electrode contact state detector including a first contact detection circuit connected to either the first electrode or the second electrode among the electrodes, a second contact detection circuit connected to the third electrode, and a contact state determinator for determining a contact state indicating which of the electrodes is in contact with a surface of the measurement target based on a first signal output from the first contact detection circuit and a second signal output from the second contact detection circuit, and an input receiver for receiving a contact of the electrode with respect to the surface of the measurement target as input of predetermined operation associated with the contact state.

A method includes the step of receiving electrocardiogram (ECG) data associated with a plurality of patients and an electrocardiogram configuration including a plurality of leads and a time interval. The electrocardiogram data includes, for each lead included in the plurality of leads, voltage data associated with at least a portion of the time interval. The method also includes training an artificial intelligence model on the ECG data, tuning the artificial intelligence model using data from a device having fewer leads than the plurality of leads, and evaluating the artificial intelligence model on additional data received from the ECG data.

Certain aspects of the disclosure are directed to an apparatus including a scale and external circuitry. The scale includes a platform, and data-procurement circuitry for collecting signals indicative of the user's identity and cardio-physiological measurements. The scale includes processing circuitry to process data obtained by the data-procurement circuitry, therefrom generate cardio-related physiologic data, and to send user data to the external circuitry. The external circuitry identifies a risk that the user has a condition based on the reference information and the user data provided by the scale and outputs generic information correlating to the condition to the scale that is tailored based on the identified risk.

Certain aspects of the disclosure are directed to an apparatus including a scale and external circuitry. The scale includes a platform, and data-procurement circuitry for collecting signals indicative of the user's identity and cardio-physiological measurements. The scale includes processing circuitry to process data obtained by the data-procurement circuitry, therefrom generate cardio-related physiologic data, and to send user data to the external circuitry. The external circuitry identifies a risk that the user has a condition based on the reference information and the user data provided by the scale and outputs generic information correlating to the condition to the scale that is tailored based on the identified risk.

An ambulatory medical device comprises: a sensing component to be disposed on a patient for detecting a physiological signal of the patient; and monitoring and self-test circuitry configured for detecting a triggering event and initiating one or more self-tests based on detection of the triggering event. The ambulatory medical device senses the physiological signal of the patient substantially continuously over an extended period of time.

An ambulatory medical device comprises: a sensing component to be disposed on a patient for detecting a physiological signal of the patient; and monitoring and self-test circuitry configured for detecting a triggering event and initiating one or more self-tests based on detection of the triggering event. The ambulatory medical device senses the physiological signal of the patient substantially continuously over an extended period of time.

A device for detecting stenosis comprising disposable components to ensure function and sanitary conditions, said device having a disposable sensing pad, a disposable piezo assembly, and a disposable sensing pod; wherein the entire device can be disposed of after a predetermined number of uses to ensure accuracy of results and of sanitary conditions.

A device for detecting stenosis comprising disposable components to ensure function and sanitary conditions, said device having a disposable sensing pad, a disposable piezo assembly, and a disposable sensing pod; wherein the entire device can be disposed of after a predetermined number of uses to ensure accuracy of results and of sanitary conditions.

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 computer implemented method and system for detecting arrhythmias in cardiac activity are provided. The method is under control of one or more processors configured with specific executable instructions. The method obtains far field cardiac activity (CA) signals and applies a direction related responsiveness (DRR) filter to the CA signals to produce DRR filtered signals. The method compares a current sample from the CA signals to a prior sample from the DRR filtered signals to identify a direction characteristic of the CA signals and defines the DRR filter based on a timing constant that is set based on the direction characteristic identified. The method analyzes the CA signals in connection with the DRR filtered signals to identify a peak characteristic of the CA signals and determines peak to peak intervals between successive peak characteristic. The method detects at least one of noise or an arrhythmia based on the peak to peak intervals and records results of the detecting.