A novel compressive sampling method for ECG wearable measurement systems
作者： Francesco Picariello , Grazia Iadarola , Eulalia Balestrieri , Ioan Tudosa , Luca De Vito
DOI: 10.1016/J.MEASUREMENT.2020.108259
关键词:
摘要: Abstract The paper presents a novel method for the compressed acquisition of electrocardiographic (ECG) signals. proposed is intended to be applied Internet-of-Medical-Things (IoMT) nodes (i.e. wearable measurement systems) as they can benefit from reduction signal data rate transmitted, and consequent energy consumption. Being based on Compressive Sampling (CS), very low computational complexity node. Moreover, since sensing matrix adapted acquired signal, it allows achieving better reconstruction performance compared with other CS-based methods available in literature.
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