Noise Cleaning of ECG on Edge Device Using Convolutional Sparse Contractive Autoencoder

Single-lead Electrocardiogram (ECG) can be easily measured by a commercial smartwatch or a dedicated wearable device. The waveforms are often susceptible to background noise and motion artifacts introducing errors in disease interpretation. An effective yet light-weight de-noising of ECG is an open...

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Veröffentlicht in:	2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops) S. 491 - 496
Hauptverfasser:	Banerjee, Rohan, Mukherjee, Ayan, Ghose, Avik
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 21.03.2022
Schlagworte:	Autoencoder Computational modeling Conferences Convolution Convolutional Neural Network Deep learning Electrocardiogram Electrocardiography Heart beat Noise cleaning Noise reduction TinyML
Online-Zugang:	Volltext
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