Side Channel-Assisted Inference Leakage from Machine Learning-based ECG Classification. (arXiv:2304.01990v1 [cs.CR])

The Electrocardiogram (ECG) measures the electrical cardiac activity
generated by the heart to detect abnormal heartbeat and heart attack. However,
the irregular occurrence of the abnormalities demands continuous monitoring of
heartbeats. Machine learning techniques are leveraged to automate the task to
reduce labor work needed during monitoring. In recent years, many companies
have launched products with ECG monitoring and irregular heartbeat alert. Among
all classification algorithms, the time series-based algorithm dynamic time
warping (DTW) is widely adopted to undertake the …

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