Other

Guangren Chen

Rong Teai Yang

Jia Chen

Zhongnong Jiang

Jialun Chen

Lingling Yao

Cheng Hong

Jiali Chen

Electrical impulses are received from a beating heart. The electrical impulses are converted to an ECG waveform. The ECG waveform is converted to a frequency domain waveform, which, in turn, is separated into two or more different frequency domain waveforms, which, in turn, are converted into a plurality of time domain cardiac electrophysiological subwaveforms and discontinuity points between these subwaveforms. The plurality of subwaveforms and discontinuity points are compared to a database of subwaveforms and discontinuity points for normal and abnormal patients or to a set of rules developed from the database. A bundle branches (BB) to J-Point (BB-J) interval is identified from the plurality of subwaveforms and discontinuity points based on the comparison. The ECG waveform with the BB-J interval annotated is displayed.

Generation of vital sign monitoring

An ECG electrode includes a substrate and one or more holes. The substrate includes on one side an electrolyte gel for contacting a patients skin and an adhesive. The one or more holes perforate the substrate and the adhesive to increase the adhesion between the patients skin and the substrate. The one or more holes can have a circular shape, rectangular shape, crescent shape, polygonal shape, elliptical shape, diamond shape, star shape, or triangular shape. A method for manufacturing an ECG electrode includes assembling a substrate that includes on one side an electrolyte gel for contacting a patients skin and an adhesive and creating one or more holes in the substrate and the adhesive that increase the adhesion between the skin and the substrate. The one or more holes are created using a laser or a drill.

Disposable ECG electrode to prevent shedding and tearing

Electrical impulses are received from a beating heart. The electrical impulses are converted to an ECG waveform. The ECG waveform is converted to a frequency domain waveform, which, in turn, is separated into two or more different frequency domain waveforms, which, in turn, are converted into a plurality of time domain cardiac electrophysiological subwaveforms and discontinuity points between these subwaveforms. The plurality of subwaveforms and discontinuity points are compared to a database of subwaveforms and discontinuity points for normal and abnormal patients or to a set of rules developed from the database. An ST segment and one or more ST subwaveforms within the ST segment are identified from the plurality of subwaveforms and discontinuity points based on the comparison. The ECG waveform with the one or more ST subwaveforms within the ST segment is displayed.

Classification of ST waves and ST segment type

Electrode for a medical device

Electrical impulses are received from a beating heart. The electrical impulses are converted to an ECG waveform. The ECG waveform is converted to a frequency domain waveform, which, in turn, is separated into two or more different frequency domain waveforms, which, in turn, are converted into a plurality of time domain cardiac electrophysiological subwaveforms and discontinuity points between these subwaveforms. The plurality of subwaveforms and discontinuity points are compared to a database of subwaveforms and discontinuity points for normal and abnormal patients. An ST-T interval is identified from the plurality of subwaveforms and discontinuity points based on the comparison, the ST-T interval is divided into N number of equally spaced sections, and an average data value of detection is calculated for each section. A table is displayed that includes an average data value of detection for each section of the ST-T interval.

Artificial intelligence (AI) electrocardiogram (ECG)

An ECG system measures and annotates the P-point of an ECG waveform from harmonic waveforms. Electrical impulses are received from a beating heart. The electrical impulses are converted to an ECG waveform. The ECG waveform is converted to a frequency domain waveform, which, in turn, is separated into two or more different frequency domain waveforms, which, in turn, are converted into a plurality of time domain cardiac electrophysiological subwaveforms and discontinuity points between these subwaveforms. The plurality of subwaveforms and discontinuity points are compared to a database of subwaveforms and discontinuity points for normal and abnormal patients. A discontinuity point is identified as the P-point of the ECG waveform from the comparison. Similar measurements are made for the P'-point, I-point, J-point, and T&#x2032;-point. Distances from these points to the equipotential line are calculated and used to detect blockages leading to myocardial infarction.

Method for recognizing point quantification standard elevation or depression near the equipotential line of each heartbeat

An ECG system measures and annotates a subdivision of the P wave of the ECG waveform from harmonic waveforms. Electrical impulses are received from a beating heart. The electrical impulses are converted to an ECG waveform. The ECG waveform is converted to a frequency domain waveform, which, in turn, is separated into two or more different frequency domain waveforms, which, in turn, are converted into a plurality of time domain cardiac electrophysiological subwaveforms and discontinuity points between these subwaveforms. The plurality of subwaveforms and discontinuity points are compared to a database of subwaveforms and discontinuity points for normal and abnormal patients. Starting and ending discontinuity points are identified for a subdivision of the P wave of the ECG waveform and an APD is calculated for the subdivision. The ECG waveform is displayed along with a location of the P wave subdivision on the ECG waveform and the calculated APD.

Using aiECG to automatically track, navigate and measure ECG waveform data and parameters data

A noninvasive system for detecting and processing PCG and ECG waveforms includes an electronic acoustic stethoscope and a server computer. Heart sounds of a patient are measured using an acoustic transducer of a chestpiece of the electronic acoustic stethoscope, the heart sounds are sent to an earpiece of the electronic acoustic stethoscope, and a PCG waveform is created. Heart electrical signals of the patient are measured using at least four electrodes of the chestpiece and an ECG waveform is created. The PCG waveform and/or the ECG waveform are transmitted to the server computer using a wireless communication device of the chestpiece. The PCG waveform is processed for additional PCG information and/or the ECG waveform is processed for additional ECG information using the server computer. Access to the additional PCG information and/or additional ECG information is provided to at least one client device using the server computer.

Electronic acoustic stethoscope with ECG

An ECG system measures and annotates the I-point of in an ECG waveform from harmonic waveforms. Electrical impulses are received from a beating heart. The electrical impulses are converted to an ECG waveform. The ECG waveform is converted to a frequency domain waveform, which, in turn, is separated into two or more different frequency domain waveforms, which, in turn, are converted into a plurality of time domain cardiac electrophysiological subwaveforms and discontinuity points between these subwaveforms. The plurality of subwaveforms and discontinuity points are compared to a database of subwaveforms and discontinuity points for normal and abnormal patients. A discontinuity point is identified as the I-point of the ECG waveform from the comparison. The ECG waveform is displayed along with a marker at a location of the discontinuity point.

Accurate ECG I-point and J-point detection and measurement

An ECG system identifies and annotates cardiac electrophysiological signals in an ECG waveform from harmonic waveforms. Electrical impulses are received from a beating heart. The electrical impulses are converted to an ECG waveform. The ECG waveform is converted to a frequency domain waveform, which, in turn, is separated into two or more different frequency domain waveforms, which, in turn, are converted into a plurality of time domain cardiac electrophysiological subwaveforms and discontinuity points between these subwaveforms. The plurality of subwaveforms and discontinuity points are compared to a database of subwaveforms and discontinuity points for normal and abnormal patients. At least one subwaveform or one or more discontinuity points are identified as a normal or abnormal electrophysiological signal of the ECG waveform from the comparison. The ECG waveform is displayed along with one or more markers at a location of the at least one subwaveform or one or more discontinuity points.

Automated ECG analysis and diagnosis system

Systems and methods are provided to detect a multi-domain ECG waveform and display one or more cardiac electrophysiological markers. Electrical impulses are detected between at least one pair of electrodes adapted to be located near a beating heart and are converted to an ECG waveform. The ECG waveform for at least one heartbeat is received from the detector, the ECG waveform is converted to a frequency domain waveform, the frequency domain waveform is separated into two or more different frequency domain waveforms using two or more different bandpass filters, and the two or more different frequency domain waveforms are converted into two or more different time domain waveforms. The two or more different time domain waveforms are displayed in the same time domain plot as the ECG waveform and one or more cardiac electrophysiological markers are displayed along the x-axis of the two or more different time domain waveforms.

Systems and methods for providing cardiac electrophysiological markers

Systems and methods are provided to detect subwaveforms of an ECG waveform. Electrical impulses are detected between at least one pair of electrodes of two or more electrodes placed proximate to a beating heart and are converted to an ECG waveform for each heartbeat of the beating heart using the detector. One or more subwaveforms within P, Q, R, S, T, U, and J waveforms of the ECG waveform for each heartbeat or in an interval between the P, Q, R, S, T, U, and J waveforms that represent the depolarization or repolarization of an anatomically distinct portion of muscle tissue of the beating heart are detected using a signal processor. A processed ECG waveform that includes the one or more subwaveforms for each heartbeat is produced using the signal processor. The processed ECG waveform is received from the signal processor is displayed using a display device.

Growing community of inventors

Arcadia, CA, United States of America

Guangren Chen