The physiological information processing apparatus: acquires electrocardiogram data of a subject; detects a QRS complex from the electrocardiogram data; acquires pulse wave data of the subject; detects a pacing pulse output from an apparatus worn by the subject; determines whether the pacing pulse is detected in a time period in which the QRS complex is not detected when the time period is equal to or longer than a predetermined time width; determines, based on the pulse wave data, whether a pulse wave is present within predetermined time from a detection time point at which die pacing pulse is detected; and determines, according to a determination that the pulse wave is present within the predetermined time, that the QRS complex is actually present in the time period.

The physiological information processing apparatus: acquires electrocardiogram data of a subject; detects a QRS complex from the electrocardiogram data; acquires pulse wave data of the subject; detects a pacing pulse output from an apparatus worn by the subject; determines whether the pacing pulse is detected in a time period in which the QRS complex is not detected when the time period is equal to or longer than a predetermined time width; determines, based on the pulse wave data, whether a pulse wave is present within predetermined time from a detection time point at which die pacing pulse is detected; and determines, according to a determination that the pulse wave is present within the predetermined time, that the QRS complex is actually present in the time period.

Technologies and implementations related to facilitating grouping of electrocardiogram (ECG) signals of a heart of a person (e.g., patient) wearing a wearable medical device (WMD). The ECG signals may be acquired during various times (e.g., during a normal rhythm of the heart and/or during an event of the rhythm of the heart) including various times of activity of the person (e.g., sleeping, awake, active, inactive, etc.). The ECG signals may be received and analyzed to determine if the ECG signals may be indicative of an event associated with a heart of the person or not.

Technologies and implementations related to facilitating grouping of electrocardiogram (ECG) signals of a heart of a person (e.g., patient) wearing a wearable medical device (WMD). The ECG signals may be acquired during various times (e.g., during a normal rhythm of the heart and/or during an event of the rhythm of the heart) including various times of activity of the person (e.g., sleeping, awake, active, inactive, etc.). The ECG signals may be received and analyzed to determine if the ECG signals may be indicative of an event associated with a heart of the person or not.

A medical device is configured to sense a cardiac electrical signal and determine from the cardiac electrical signal at least one of a maximum peak amplitude of a positive slope of the cardiac electrical signal and a maximum peak time interval from a pacing pulse to the maximum peak amplitude. The device is configured to determine a capture type of the pacing pulse based on at least one or both of the maximum peak amplitude and the maximum peak time interval.

A wearable medical device for determining whether a patient is experiencing a cardiac event using electrocardiogram (ECG) templates includes a plurality of ECG electrodes and a medical device controller. The medical device controller includes a memory, a baseline generator, a cardiac event detector, and a mode selector. The baseline generator is configured to record a baseline ECG signal, generate one or more ECG templates, and store the one or more ECG templates in the memory. The cardiac event detector is configured to select an ECG template and compare a current ECG signal with the selected ECG template to determine whether the patient is experiencing a cardiac arrhythmia. The mode selector is configured to identify whether any ECG templates are stored in the memory, determine whether a new ECG template is needed, and, upon determining that a new ECG template is needed, enter a baselining mode by activating the baseline generator.

A wearable medical device for determining whether a patient is experiencing a cardiac event using electrocardiogram (ECG) templates includes a plurality of ECG electrodes and a medical device controller. The medical device controller includes a memory, a baseline generator, a cardiac event detector, and a mode selector. The baseline generator is configured to record a baseline ECG signal, generate one or more ECG templates, and store the one or more ECG templates in the memory. The cardiac event detector is configured to select an ECG template and compare a current ECG signal with the selected ECG template to determine whether the patient is experiencing a cardiac arrhythmia. The mode selector is configured to identify whether any ECG templates are stored in the memory, determine whether a new ECG template is needed, and, upon determining that a new ECG template is needed, enter a baselining mode by activating the baseline generator.

A computer-implemented method, computer program product and computing system for receiving a single-lead heartbeat waveform for a user obtained via a differential voltage potential measurement concerning the heart of the user; associating a heart health indicator with the single-lead heartbeat waveform; and providing the heart health indicator to the user.

A device for accurately recording and presenting an electrocardiograph (ECG) signal collected by the non-optimal dry metal electrodes of wearable devices includes a first collecting module, a filtering module, a second collecting module, and a controlling module. The first collecting module collects a first ECG signal which is filtered to obtain a high frequency ECG signal and a low frequency ECG signal. The second collecting module collects the high frequency ECG signal and the low frequency ECG signal. The controlling module performs combination processing on the high frequency ECG signal and the low frequency ECG signal, then outputting an effective and accurate ECG signal. The present disclosure also provides a method for detecting and presenting an accurate electrocardiograph signal obtained by a wearable device.

A device for accurately recording and presenting an electrocardiograph (ECG) signal collected by the non-optimal dry metal electrodes of wearable devices includes a first collecting module, a filtering module, a second collecting module, and a controlling module. The first collecting module collects a first ECG signal which is filtered to obtain a high frequency ECG signal and a low frequency ECG signal. The second collecting module collects the high frequency ECG signal and the low frequency ECG signal. The controlling module performs combination processing on the high frequency ECG signal and the low frequency ECG signal, then outputting an effective and accurate ECG signal. The present disclosure also provides a method for detecting and presenting an accurate electrocardiograph signal obtained by a wearable device.