A computer implemented method and system for detecting premature ventricular contractions (PVCs) are provided. The method is under control of one or more processors configured with specific executable instructions. The method obtains a cycle length (CL) distribution metric that plots a series of cardiac beats into one of a set of transition types based on R-R interval (RRI) difference pairs associated with the cardiac beats. The CL distribution metric plots the cardiac beats based on a comparison between combinations of the RRI difference pairs for corresponding combinations of the cardiac beats. The method calculates a distribution characteristic for the cardiac beats, from the series of cardiac beats that exhibit a first transition type from the set of transition types and calculates a discrimination score based on the distribution characteristic of the cardiac beats across the CL distribution metric. The method designates the CA signals to include a predetermined level of PVC burden based on the discrimination score.

In certain examples, methods and structures are directed to an apparatus having a plurality of stretchable leads, with each of the plurality of stretchable leads including an associated electrode which is to receive electrical signals generated in response to a subject-s heart and to pass the received electrical signals along a respective one of plurality of stretchable leads. The apparatus also includes a patch integrating the stretchable substrate with the plurality of stretchable leads and with the patch having an area for circuitry to reside for collecting the electrical signals passed along each of the plurality of stretchable leads, wherein each of the plurality of stretchable leads is to be on a subject side of the patch. In more particular examples, the circuitry is used to provide a multi-lead ECG based on the electrical signals.

In certain examples, methods and structures are directed to an apparatus having a plurality of stretchable leads, with each of the plurality of stretchable leads including an associated electrode which is to receive electrical signals generated in response to a subject-s heart and to pass the received electrical signals along a respective one of plurality of stretchable leads. The apparatus also includes a patch integrating the stretchable substrate with the plurality of stretchable leads and with the patch having an area for circuitry to reside for collecting the electrical signals passed along each of the plurality of stretchable leads, wherein each of the plurality of stretchable leads is to be on a subject side of the patch. In more particular examples, the circuitry is used to provide a multi-lead ECG based on the electrical signals.

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.

A method includes receiving a bipolar signal sensed by a pair of electrodes at a location in a heart of a patient. One or more electrocardiogram (ECG) signals are received, sensed by body-surface electrodes attached to the patient. Two or more successive QRS complexes are identified in the bipolar signal. One or more activations are detected in the bipolar signal, which occur within a window-of-interest that begins at least a given time with respect to the identified QRS complexes. The detected activations are checked whether they are late potentials, by verifying whether (i) the activations do not coincide with a predefined event observed in the ECG signals, and (ii) the activations are repeatable in the successive QRS complexes. In response to deciding that at least one of the detected activations is a late potential, the latest of the at least one of the late potentials is visualized to a user.

A method includes receiving a bipolar signal sensed by a pair of electrodes at a location in a heart of a patient. One or more electrocardiogram (ECG) signals are received, sensed by body-surface electrodes attached to the patient. Two or more successive QRS complexes are identified in the bipolar signal. One or more activations are detected in the bipolar signal, which occur within a window-of-interest that begins at least a given time with respect to the identified QRS complexes. The detected activations are checked whether they are late potentials, by verifying whether (i) the activations do not coincide with a predefined event observed in the ECG signals, and (ii) the activations are repeatable in the successive QRS complexes. In response to deciding that at least one of the detected activations is a late potential, the latest of the at least one of the late potentials is visualized to a user.

The present invention relates to an electrocardiogram analysis matching support service system that supports timely and real-time analysis of an individual's electrocardiogram, and it is characterized in that it includes: a patient service app module that is installed and executed in a patient's mobile communication terminal, transmits an electrocardiogram measurement data received from a wearable electrocardiogram measurement device, requests for reading, and receives and displays the result of the reading; and a patient and medical staff matching server that reads the electrocardiogram measurement data transmitted from the patient service app module using a deep learning trained artificial intelligence network model, selects pre-registered medical staff according to the result of the reading, and supports reading the electrocardiogram measurement data.

The present invention relates to an electrocardiogram analysis matching support service system that supports timely and real-time analysis of an individual's electrocardiogram, and it is characterized in that it includes: a patient service app module that is installed and executed in a patient's mobile communication terminal, transmits an electrocardiogram measurement data received from a wearable electrocardiogram measurement device, requests for reading, and receives and displays the result of the reading; and a patient and medical staff matching server that reads the electrocardiogram measurement data transmitted from the patient service app module using a deep learning trained artificial intelligence network model, selects pre-registered medical staff according to the result of the reading, and supports reading the electrocardiogram measurement data.

The present invention relates to a hybrid imaging system for photodiagnosis and phototherapy and, more particularly, to a hybrid imaging system for photodiagnosis and phototherapy, which simultaneously acquires a visible ray image or a near-infrared ray image and a lonq wave infrared ray image by using an optical method. The hybrid imaging system for photodiagnosis and phototherapy according to the present invention includes a light distribution unit, a visible ray/near-infrared ray measurement unit, a long wave infrared ray measurement unit, and a light source unit, thereby simultaneously and quickly extracting a visible ray image, a near-infrared ray image, and a long wave infrared ray image without mutual distortion.

The apparatus for calculating blood pressure using a digital ECG voltage coordinate value comprising an X coordinate of a time axis and a Y coordinate of a heart voltage signal intensity axis, the apparatus comprising an acquiring unit for acquiring a target digital ECG voltage coordinate value of the measurement subject, and an arithmetic unit for calculating a systolic blood pressure and a diastolic blood pressure by comparing previously stored reference digital ECG voltage coordinate values and acquired digital ECG voltage coordinate values, respectively. the acquired target digital ECG voltage coordinate value includes: a specific coordinate value (Q.sub.PT value) representing an inflection point of a Q waveform; a specific coordinate value (R.sub.PT value) representing an inflection point of an R waveform; a specific coordinate value (T.sub.PT value) representing an inflection point of a T waveform; and a specific coordinate value (S.sub.PT value) representing an inflection point of an S waveform.