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...

Full description

Bibliographic Details

Published in:	2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops) pp. 491 - 496
Main Authors:	Banerjee, Rohan, Mukherjee, Ayan, Ghose, Avik
Format:	Conference Proceeding
Language:	English
Published:	IEEE 21.03.2022
Subjects:	Autoencoder Computational modeling Conferences Convolution Convolutional Neural Network Deep learning Electrocardiogram Electrocardiography Heart beat Noise cleaning Noise reduction TinyML
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!