Experimental Assessment of a Novel CS-based Acquisition Method for ECG Signals in IoMT

Eulalia Balestrieri, Pasquale Daponte, Luca De Vito, Francesco Picariello, Sergio Rapuano, Ioan Tudosa

Abstract:

The paper presents the results obtained from a preliminary experimental assessment of a novel method which relies on Compressed Sampling (CS) of electrocardiographic (ECG) signal. The mathematical model for CS-based acquisition of ECG signals and its feasibility for practical implementation for an Internet-of-Medical Things (IoMT) system are described. Herein, the presented experimental results demonstrate the robustness and convenience of the proposed method.
Keywords:

Internet of Things, sampling, compressed sensing, ECG Signal, embedded systems
Download:

IMEKO-TC4-2019-049.pdf
DOI:

_unreg_tc4-2019.049

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