An apparatus yields signals that are equivalent to ECG signals and allow determination of a heartbeat interval or heart rate from bio-vibration signals including vibrations derived from heartbeats. An ECG meter acquires ECG signals of a sample, and a piezoelectric sensor acquires bio-vibration signals of the sample simultaneously. The bio-vibration signals include beating vibration signals derived from heartbeats. A learning unit of a prediction modeling apparatus establishes a prediction model by machine learning in which ECG signals are used as teaching data, and model input signals obtained by performing a specified processing on the bio-vibration signals are input. The learning unit delivers the prediction model to a prediction unit of a signal processing apparatus. The prediction model predicts and outputs pECG signals upon input of model input signals obtained by performing a specified processing on bio-vibration signals acquired from a subject under prediction with a piezoelectric sensor.

A method includes detecting whether one or more myocardial infarctions (MI) has occurred using vectorcardiographic (VCG) signals with gradient boosting, the VCG signals including VCG loops, and determining an MI location using the VCG signals and gradient boosting.

A method includes detecting whether one or more myocardial infarctions (MI) has occurred using vectorcardiographic (VCG) signals with gradient boosting, the VCG signals including VCG loops, and determining an MI location using the VCG signals and gradient boosting.

Described herein are apparatuses and methods to detect tachycardias and selectively reject false tachycardia detections due to T-wave oversensing or noise. An apparatus includes electrodes, a sensing circuit coupled to at least two of the electrodes and configured to sense a signal indicative of cardiac electrical activity, and a smoothing filter configured to filter to the sensed signal indicative of cardiac electrical activity to thereby produce a filtered signal indicative of cardiac electrical activity. The apparatus produces a difference signal indicative of cardiac electrical activity by determining a difference between the sensed and filtered signals indicative of cardiac electrical activity. The apparatus also includes at least one processor configured to detect a tachycardia, or to determine whether or not to reject a tachycardia detection, based on the difference signal. The smoothing filter and/or difference circuitry can be implemented by the at least one processor, and/or other circuitry.

Described herein are apparatuses and methods to detect tachycardias and selectively reject false tachycardia detections due to T-wave oversensing or noise. An apparatus includes electrodes, a sensing circuit coupled to at least two of the electrodes and configured to sense a signal indicative of cardiac electrical activity, and a smoothing filter configured to filter to the sensed signal indicative of cardiac electrical activity to thereby produce a filtered signal indicative of cardiac electrical activity. The apparatus produces a difference signal indicative of cardiac electrical activity by determining a difference between the sensed and filtered signals indicative of cardiac electrical activity. The apparatus also includes at least one processor configured to detect a tachycardia, or to determine whether or not to reject a tachycardia detection, based on the difference signal. The smoothing filter and/or difference circuitry can be implemented by the at least one processor, and/or other circuitry.

An auscultation device includes an electrocardiogram (ECG) device, a sound receiver device, a synchronization device and a processor. The ECG device is configured to receive an ECG signal. The sound receiver device is configured to receive a heart sound signal. The synchronization device is configured to transmit a synchronization signal to the

ECG device and the sound receiver device, so that the ECG device starts to receive the ECG signal and the sound receiver device starts to receive the heart sound signal in time synchronization. Moreover, the processor is configured to generate an ECG according to the ECG signal, generate a heart sound diagram according to the heart sound signal, and generate a synchronization timing diagram according to the ECG and the heart sound diagram.

A determination device (100) for determining the origin of an arrhythmia and a mapping system (200) are disclosed. In the determination device (100), an analysis unit (120) is configured to process ECG data extracted over a predetermined period of time by a data extracting unit (110) and input the processed data into a determination model (131), where a calculation is performed thereon to produce origin information about the origin. An output unit (140) is configured to output the origin information, and a model configuration unit (130) is configured to configure the determination model (131). The determination device (100) allows identifying a cardiac site suitable for focused mapping, thereby dispensing with the need to map the whole heart and shortening the time required for mapping. The mapping system (200) includes the determination device (100). With the origin information about the arrhythmia's origin, a physician can know a cardiac site corresponding to the origin of the arrhythmia in a timely manner before or during a procedure. This can reduce the time required for mapping and result in an enhancement in surgical efficiency.

A determination device (100) for determining the origin of an arrhythmia and a mapping system (200) are disclosed. In the determination device (100), an analysis unit (120) is configured to process ECG data extracted over a predetermined period of time by a data extracting unit (110) and input the processed data into a determination model (131), where a calculation is performed thereon to produce origin information about the origin. An output unit (140) is configured to output the origin information, and a model configuration unit (130) is configured to configure the determination model (131). The determination device (100) allows identifying a cardiac site suitable for focused mapping, thereby dispensing with the need to map the whole heart and shortening the time required for mapping. The mapping system (200) includes the determination device (100). With the origin information about the arrhythmia's origin, a physician can know a cardiac site corresponding to the origin of the arrhythmia in a timely manner before or during a procedure. This can reduce the time required for mapping and result in an enhancement in surgical efficiency.

A determination method for a beginning of T-wave includes: obtaining an electrocardiogram (ECG) signal; identifying a form of each T-wave in the ECG signal; and calling a preset algorithm corresponding to the form of the T-wave according to the form of the T-wave to determine a beginning of the T-wave.

A determination method for a beginning of T-wave includes: obtaining an electrocardiogram (ECG) signal; identifying a form of each T-wave in the ECG signal; and calling a preset algorithm corresponding to the form of the T-wave according to the form of the T-wave to determine a beginning of the T-wave.