A heart rate detection device includes a sensor data acquisition device that acquires sensor data indicating an electrocardiogram of a living body to output a sequence of sampling data based on the sensor data, a first calculator that calculates, every sampling time, a time difference value of sampling data, a decision device that decides a heart rate time based on a change in the time difference value calculated by the first calculator exceeds a threshold that is set, a corrector that corrects the heart rate time based on when a cardiac potential becomes zero on a straight line passing through two points of sampling data at the heart rate time decided by the decision device and sampling data immediately before the sampling data at the heart rate time, and a second calculator that calculates a heart rate of the living body from the heart rate time that is corrected.

A heart rate detection device includes a sensor data acquisition device that acquires sensor data indicating an electrocardiogram of a living body to output a sequence of sampling data based on the sensor data, a first calculator that calculates, every sampling time, a time difference value of sampling data, a decision device that decides a heart rate time based on a change in the time difference value calculated by the first calculator exceeds a threshold that is set, a corrector that corrects the heart rate time based on when a cardiac potential becomes zero on a straight line passing through two points of sampling data at the heart rate time decided by the decision device and sampling data immediately before the sampling data at the heart rate time, and a second calculator that calculates a heart rate of the living body from the heart rate time that is corrected.

This specification describes methods of performing ECG analyses. In one approach, the system receives an ECG recording for a first duration, automatically performs a first analysis of the ECG recording for the first duration to detect events with reference to each of a plurality of arrhythmias, generates a GUI where areas within the GUI are designated for displaying detected events for each of the arrhythmias and enables a user to select at least one ECG segment of a second duration of the ECG recording. In response to the user's selection of the at least one ECG segment, the system presents the user with at least one option, and in response to the user's selection of the option, the system performs a second analysis of the ECG segment of the second duration and displays at least one output corresponding to the second analysis.

This specification describes methods of performing ECG analyses. In one approach, the system receives an ECG recording for a first duration, automatically performs a first analysis of the ECG recording for the first duration to detect events with reference to each of a plurality of arrhythmias, generates a GUI where areas within the GUI are designated for displaying detected events for each of the arrhythmias and enables a user to select at least one ECG segment of a second duration of the ECG recording. In response to the user's selection of the at least one ECG segment, the system presents the user with at least one option, and in response to the user's selection of the option, the system performs a second analysis of the ECG segment of the second duration and displays at least one output corresponding to the second analysis.

The present invention relates to a method to provide a mean temporal spatial isochrone (TSI) feature relating to an ECG feature (wave form) of interest, such as the activation of the heart from a single point (QRS), relative to the heart in a torso while using an ECG measurement from an ECG recording device. The method includes: receiving ECG measuring data from the ECG recording device; determining vector cardiogram (VCG) data; receiving a model of the heart, preferably with torso, as an input, preferably based on a request including request parameters; determining mean TSI data values representing the TSI feature relating to an electrophysiological phase representing the ECG feature, the mean TSI providing a location within the heart representing the mean location of the ECG feature at the corresponding time; positioning the mean TSI feature and preferably the vector cardiogram data points in the model of the heart and/or torso at an initial position; and rendering the model of the heart, preferably with torso, with the mean TSI feature, preferably with VCG data related to the TSI, for displaying on a display screen for interpretation of the displayed rendering.

The present invention relates to a method to provide a mean temporal spatial isochrone (TSI) feature relating to an ECG feature (wave form) of interest, such as the activation of the heart from a single point (QRS), relative to the heart in a torso while using an ECG measurement from an ECG recording device. The method includes: receiving ECG measuring data from the ECG recording device; determining vector cardiogram (VCG) data; receiving a model of the heart, preferably with torso, as an input, preferably based on a request including request parameters; determining mean TSI data values representing the TSI feature relating to an electrophysiological phase representing the ECG feature, the mean TSI providing a location within the heart representing the mean location of the ECG feature at the corresponding time; positioning the mean TSI feature and preferably the vector cardiogram data points in the model of the heart and/or torso at an initial position; and rendering the model of the heart, preferably with torso, with the mean TSI feature, preferably with VCG data related to the TSI, for displaying on a display screen for interpretation of the displayed rendering.

An electrocardiogram information dynamic monitoring method and dynamic monitoring system. The method includes a dynamic monitoring device receiving monitoring reference data input by a user or issued by a server; the data collection on a tested object so as to obtain electrocardiogram data of the tested object; the characteristic identification on the electrocardiogram data so as to obtain characteristic signals of the electrocardiogram data, implementing cardiac activity classification on the electrocardiogram data according to the characteristic signals, obtaining cardiac activity classification information according to electrocardiogram basic rule reference data, and generating electrocardiogram event data, wherein the electrocardiogram event data comprises device ID information of the dynamic monitoring device; the dynamic monitoring device determining corresponding electrocardiogram event information according to the electrocardiogram event data, and determining whether the electrocardiogram event information is electrocardiogram abnormality event information; and outputting alarm information when the electrocardiogram event information is electrocardiogram abnormality event information.

An electrocardiogram information dynamic monitoring method and dynamic monitoring system. The method includes a dynamic monitoring device receiving monitoring reference data input by a user or issued by a server; the data collection on a tested object so as to obtain electrocardiogram data of the tested object; the characteristic identification on the electrocardiogram data so as to obtain characteristic signals of the electrocardiogram data, implementing cardiac activity classification on the electrocardiogram data according to the characteristic signals, obtaining cardiac activity classification information according to electrocardiogram basic rule reference data, and generating electrocardiogram event data, wherein the electrocardiogram event data comprises device ID information of the dynamic monitoring device; the dynamic monitoring device determining corresponding electrocardiogram event information according to the electrocardiogram event data, and determining whether the electrocardiogram event information is electrocardiogram abnormality event information; and outputting alarm information when the electrocardiogram event information is electrocardiogram abnormality event information.

A method of processing of electrocardiogram includes the steps of providing an electrocardiogram comprising signals in at least two channels; selecting at least two frequency ranges of the signal in each of the said at least two channels; calculating an envelope for the signal in each frequency range in each channel; dividing the calculated envelope of the signal in each frequency range in each channel into QRS complex segment envelopes; and computing an average or median envelope as an average or mean of QRS complex segment envelopes for each frequency range in each channel.

A method of processing of electrocardiogram includes the steps of providing an electrocardiogram comprising signals in at least two channels; selecting at least two frequency ranges of the signal in each of the said at least two channels; calculating an envelope for the signal in each frequency range in each channel; dividing the calculated envelope of the signal in each frequency range in each channel into QRS complex segment envelopes; and computing an average or median envelope as an average or mean of QRS complex segment envelopes for each frequency range in each channel.