Arrhythmia detection with feature delineation and machine learning

A system comprising:

• an implantable cardiac monitoring device configured to:
• sense electrocardiogram (ECG) data of a patient;
• and
• perform feature-based delineation of the sensed ECG data to obtain cardiac features present in the sensed ECG data;
• and
• a computing device configured to:
• apply a machine learning model, trained using ECG data for a plurality of patients, to the sensed ECG data of the patient to determine, based on the machine learning model, that an episode of arrhythmia has occurred in the patient;
• in response to determining that the episode of arrhythmia has occurred in the patient, generate data comprising an indication that the episode of arrhythmia has occurred in the patient and one or more of the cardiac features that coincide with the episode of arrhythmia.

A non-transitory computer-readable storage medium comprising instructions that, when executed by processing circuitry, cause the processing circuitry to:

• apply a machine learning model, trained using electrocardiogram (ECG) data for a plurality of patients, to sensed ECG data of a patient to determine, based on the machine learning model, that an episode of arrhythmia has occurred in the patient;
• perform feature-based delineation of the sensed ECG data to obtain cardiac features present in the sensed ECG data;
• and
• in response to determining that the episode of arrhythmia has occurred in the patient, generate data comprising an indication that the episode of arrhythmia has occurred in the patient and one or more of the cardiac features that coincide with the episode of arrhythmia.

A system comprising:

• processing circuitry configured to:
• apply a machine learning model, trained using ECG data for a plurality of patients, to sensed ECG data of the patient to determine, based on the machine learning model, that an episode of arrhythmia has occurred in the patient;
• and
• perform feature-based delineation of the sensed ECG data to obtain cardiac features present in the sensed ECG data;
• and
• means for generating, in response to the determination that the episode of arrhythmia has occurred in the patient, data comprising an indication that the episode of arrhythmia has occurred in the patient and one or more of the cardiac features that coincide with the episode of arrhythmia.