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

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IMEKO-TC4-2019-049.pdf

DOI

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IMEKO TC

TC4 - Measurement of Electrical Quantities

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