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-point. Distances from these points to the equipotential line are calculated and used to detect blockages leading to myocardial infarction.

This disclosure provides wearable-device based user-interested information determination methods, apparatuses and wearable devices. The method includes: receiving, by an electrocardiography (ECG) sensor associated with the wearable device, an ECG signal of a user, determining a feature set for the ECG signal, in which the feature set includes time-domain feature data of the ECG signal and frequency-domain feature data of the ECG signal, and determining the user-interested information based on similarity between the feature set and reference feature sets indicative of the user-interested information, in which the user-interested information includes health information associated with a disease. The wearable device includes an ECG sensor configured to receive an ECG signal and an FPGA system. The FPGA system includes modules for determine user-interested information based on the ECG signal. The apparatus includes a processor and a memory coupled to the processor. The memory is configured to store instructions to implement the method.

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.

Systems, devices, and methods relate to utilizing an electronic caliper to analyze an electronic electrocardiogram (ECG). An example method for includes outputting, by a display, an electronic ECG within a graphical user interface (GUI). An electronic caliper is output, by the display, as overlaid on the electronic ECG within the GUI. The electronic caliper includes a first electronic tip and a second electronic tip. The method further includes receiving, by a user input device, a user input signal and moving, based on the user input signal, the first electronic tip, the second electronic tip, or both the first electronic tip and the second electronic tip, relative to the electronic ECG within the GUI.

Systems, devices, and methods relate to utilizing an electronic caliper to analyze an electronic electrocardiogram (ECG). An example method for includes outputting, by a display, an electronic ECG within a graphical user interface (GUI). An electronic caliper is output, by the display, as overlaid on the electronic ECG within the GUI. The electronic caliper includes a first electronic tip and a second electronic tip. The method further includes receiving, by a user input device, a user input signal and moving, based on the user input signal, the first electronic tip, the second electronic tip, or both the first electronic tip and the second electronic tip, relative to the electronic ECG within the GUI.

Embodiment provides a terminal which comprises at least one processor. The at least one processor is configured to: obtain first biometric feature information of a measured target, where the first biometric feature information includes a pulse wave signal and/or an electrocardio signal of the measured target; obtain a first status of the measured target according to the first biometric feature information of the measured target; determine blood pressure calculation policy of the measured target according to the first status of the measured target; and determine a blood pressure value of the measured target according to the blood pressure calculation policy and the first biometric feature information of the measured target.

Systems and methods including a device having integrated sensor arrays constructed and configured to measure and analyze multiple biosignatures concurrently in real time and a mobile application to control the device, process data, and transmit data wirelessly via at least one network to at least one remote computing device for analyzing the multiple biosignatures and cross-correlation with at least one external factor resulting in the creation of personal and situation profiles for continued on-going real time monitoring, refinement, alerting, and action recommendations.

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.

A method for calculating a systolic blood pressure includes receiving data regarding pulse transit time (PTT) and a systolic blood pressure (SBP) of a patient group, extracting a correlation between parameters (a, y.sub.0) by analyzing results obtained by applying the data regarding the pulse transit time (PTT) and the systolic blood pressure (SBP) of the patient group to a PTT-SBP (Pulse Transit Time-Systolic Blood Pressure) relationship (SBP=a*PTT.sup.1+y.sub.0), receiving data regarding a first pulse transit time (PTT) and a systolic blood pressure (SBP) of a measurement subject, and acquiring unique parameter values (a, y.sub.0) of the measurement subject by applying the correlation between the parameters (a, y.sub.0) and the data regarding the first pulse transit time (PTT) and the systolic blood pressure (SBP) of the measurement subject to the PTT-SBP relationship.

A method and apparatus to authenticate a registered user are described. The method and apparatus include a processor configured to identify a first electrocardiogram (ECG) signal measured from the user, and determine a similarity between the first ECG signal and a second ECG signal based on the identified first ECG signal and the second ECG signal included in a reference ECG signal set. The processor is also configured to determine an authentication threshold corresponding to the reference ECG signal set, and determine whether to authenticate the first ECG signal measured from the user by comparing the determined similarity and the authentication threshold.