Dynamic Slope Detection: A High-Compression Fidelity-Preserving Approach for ECG Signal Acquisition

This paper introduces a novel Dynamic Slope De-tection (DSD) system for acquiring electrocardiogram (ECG) signals. DSD addresses the critical challenge of balancing data storage requirements with signal fidelity, particularly in resource-constrained environments like wearable devices. The system leverages the slope information of the ECG signal to guide efficient and adaptive data sampling. Validation using ten samples from the publicly available MIT-BIH Arrhythmia Database confirmed significant data reduction compared to traditional sampling. The proposed method achieves a compression ratio of up to <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$12.5\times$</tex> while maintaining RR interval estimation error below <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\pm 0.1$</tex> msec.