Provided are methods and systems for monitoring cardiac function. A series of heartbeat waveforms is collected during a pre-determined time period. The series is collected either from an individual or a plurality of individuals. A heartbeat waveform space is generated based on the series of heartbeat waveforms. A test heartbeat waveform is projected onto the heartbeat waveform space. The projected heartbeat waveform is subtracted from the test heartbeat waveform to obtain a pathology descriptive deflections (PDD) vector. A score is calculated based on the PDD vector. Based on the score, a clinical indication associated with at least one disease is provided. The clinical indication includes a warning message regarding an upcoming cardiac episode or a measure of progression or regression of at least one cardiac pathology.

The present invention provides a heart murmur detection device. The heart murmur detection device includes: an ECG signal detection unit for detecting an ECG signal from a heart of a user; a heart beat detection unit for detecting the frequency of the ECG signal; a plurality of sound receiving units for receiving a plurality of sound signals from the heart of the user; a signal transforming unit for transforming the sound signals into a plurality of electric phonic signals, and for retrieving the electric phonic signals on the basis of the ECG signal; and a signal processing unit for determining a heart murmur generating position. Moreover, the present invention further provides a heart murmur detection method.

Sensor apparatuses, methods of operating the sensor apparatuses, and systems including the sensor apparatuses are disclosed. Methods of analyzing electromechanical characteristics of a heart are also disclosed.

Systems and methods are provided for an electrocardiograph system. A set of electrodes is configured to detect a voltage differences between various pairs of locations on a body of a patient. A display is configured to visually represent digital signals derived from the plurality of detected voltage differences. A display interface is configured to format the digital signals for the display, such that the leads are grouped and displayed as a sequence of proper subsets or groups of the plurality of detected voltage differences. Each proper subset or lead group represents a specific anatomical structure of a heart of the patient.

A phase singularity identification system includes: a signal reception unit for receiving a single activity electrogram signal measured through a single-electrode catheter at a particular point of a cardiac muscle cell; a phase calculation unit for calculating a phase from the received single activity electrogram signal; and a phase singularity identification unit for identifying through the calculated phase if the particular point of the cardiac muscle cell is a phase singularity. Accordingly, it is possible to identify the phase singularity of a rotor by using a single-electrode catheter rather than a multi-electrode catheter, thereby significantly reducing time required and costs spent in comparison with prior art, and it is possible to accurately identify the phase singularity of the rotor, thus the system can be used for a radiofrequency electrode catheter ablation procedure for cardiac arrhythmia treatment.

In one embodiment, a computer-readable non-transitory storage medium embodies software that is operable when executed to, in real time, capture, by a single sensor, a number of images of a user; determine, based on the number of images, one or more short-term cardiological signals of the user during a period of time; estimate, based on the cardiological signals, a first short-term emotional state of the user; determine, based on the number of images, one or more short-term neurological signals of the user during the period of time; estimate, based on the neurological signals, a second short-term emotional state of the user; compare the first estimated emotional state to the second estimated emotional state; and in response to a determination that the first estimated emotional state corresponds to the second estimated emotional state, determine a short-term emotion of the user during the period of time.

A computer implemented method and system are provided for detecting premature ventricular contractions (PVCs) in cardiac activity. The method and system obtain cardiac activity (CA) signals for a series of beats, and, for at least a portion of the series of beats, calculate QRS scores for corresponding QRS complex segments from the CA signals. The method and system calculate a variability metric for QRS scores across the series of beats, calculate a QRS complex template using QRS segments from the series of beats, calculate correlation coefficients between the QRS complex template and the QRS complex segments, compare the variability metric to a variability threshold and the correlation coefficients to a correlation threshold, and designate the CA signals to include a predetermined level of PVC burden based on the comparing.

A wearable therapeutic device to facilitate care of a subject is provided. The wearable therapeutic device can include a garment having a sensing electrode. The garment includes at least one of an inductive element and a capacitive element, and a controller identifies an inductance of the inductive element or a capacitance of the capacitive element, and determines a confidence level of information received from the sensing electrode based on the inductance or the capacitance. The wearable therapeutic device also includes an alarm module coupled with the controller and configured to provide a notification to a subject based on the confidence level.

The invention provides a sensor for measuring both impedance and ECG waveforms that is configured to be worn around a patient's neck. The sensor features 1) an ECG system that includes an analog ECG circuit, in electrical contact with at least two ECG electrodes, that generates an analog ECG waveform; and 2) an impedance system that includes an analog impedance circuit, in electrical contact with at least two (and typically four) impedance electrodes, that generates an analog impedance waveform. Also included in the neck-worn system are a digital processing system featuring a microprocessor, and an analog-to-digital converter. During a measurement, the digital processing system receives and processes the analog ECG and impedance waveforms to measure physiological information from the patient. Finally, a cable that drapes around the patient's neck connects the ECG system, impedance system, and digital processing system.

A smart ring includes a curved housing having a U-shape interior storing components including: a curved battery approximately conforming to the curved housing, a semi-flexible PCB approximately conforming to the curved housing and having mounted thereon: a motion sensor for generating motion data from physical perturbations of the smart ring, a memory for storing executable instructions, a transceiver for sending data to a client computer, a temperature sensor, and a processor for receiving motion data and performing executable instructions in response thereto, and a potting material disposed in the interior, forming an interior wall of the smart ring, wherein the potting material encapsulates the components and is substantially transparent to visible light, infrared light, and/or ultraviolet light.