Personalized ECG monitoring for early detection of cardiac abnormalities
A method of detecting abnormal heartbeats includes providing a library of abnormal beat synthesis (ABS) filters, wherein each ABS filter corresponds to a specific cause of a cardiac problem. The method further includes obtaining an ECG of a normal heartbeat of a person and applying an ABS filter from the library of ABS filters to the ECG of the normal heartbeat of the person to generate a potential abnormal ECG. The method further includes monitoring a heartbeat of the person and classifying each heartbeat as either normal or abnormal.
1. An abnormal heartbeat detector and alert system comprising:
a sensor configured to contact skin of a user and sense electrical changes on the skin that arise from a heart's electrophysiologic pattern to generate a normal ECG signal;
a library of abnormal beat synthesis (ABS) filters, wherein each ABS filter corresponds to a specific cause of a cardiac problem;
at least one processor configured to:
monitor the normal ECG signal,
apply at least one ABS filter from the library of ABS filters to the normal ECG signal of the user,
generate a potential abnormal ECG from the applying of the at least one ABS filter from the library of ABS filters to the normal ECG signal of the user,
detect a real abnormal heartbeat, and
generate an alert upon the detecting of the real abnormal heartbeat; and a notification device configured to provide a notification upon receipt of the alert.
2. The abnormal heartbeat detector and alert system of claim 1 , wherein the at least one processor is a single processor configured to monitor the normal ECG signal, apply at least one ABS filter from the library of ABS filters to the normal ECG signal of the user to generate the potential abnormal ECG, detect the real abnormal heartbeat, and generate the alert upon detecting the real abnormal heartbeat.
3. The abnormal heartbeat detector and alert system of claim 1 , wherein the at least one processor includes at least a first processor and a second processor, wherein the first processor is configured to monitor the normal ECG signal, detect the real abnormal heartbeat, and generate the alert upon detecting the real abnormal heartbeat, and wherein the second processor is to perform at least the steps of applying at least one ABS filter from the library of ABS filters to the normal ECG signal of the user to generate the potential abnormal ECG, create a personal training dataset, train a 1D convolutional neural network over the personal training dataset and upload it to the first processor.
4. The abnormal heartbeat detector and alert system of claim 3 , further comprising a personal ECG monitor that includes the sensor, the first processor, and the notification device.
5. The abnormal heartbeat detector and alert system of claim 4 , wherein the personal ECG monitor includes at least one of a wrist band and a chest strap.
6. The abnormal heartbeat detector and alert system of claim 1 , further comprising a dedicated 1D convolutional neural network configured to train over a personalized dataset comprising the normal ECG signal and the potential abnormal ECG of the person.
7. The abnormal heartbeat detector and alert system of claim 1 , wherein the notification device is selected from the group consisting of: a display screen, a speaker, an indicator light, a vibrating device, a printer, and a radio frequency transmitter.