Patient and database shift in lightweight ECG arrhythmia classification: a controlled evaluation of noise, quantization, and embedded inference
Efficient microcontroller execution does not ensure reliable electrocardiogram classification across patients and databases. We conducted a controlled benchmark of three convolutional architectures under a corrected subject-disjoint MIT-BIH split, external INCART testing, noise stress test database artifacts, 16-bit fl...