Joint ECG–EMG–EEG signal compression and reconstruction with incremental multimodal autoencoder approach

Through wearable technology, several chronic diseases are diagnosed by long-term monitoring of vital signs specifically ECG, EMG, EEG biosignals. Such prolonged monitoring and transmitting these multiple recordings may decline the battery power of wireless wearable device. This work aims at preservi...

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Bibliographic Details
Published in:	Circuits, systems, and signal processing Vol. 41; no. 11; pp. 6152 - 6181
Main Authors:	Dasan, Evangelin, Gnanaraj, Rajakumar
Format:	Journal Article
Language:	English
Published:	New York Springer US 01.11.2022 Springer Nature B.V
Subjects:	Algorithms Bias Chronic illnesses Circuits and Systems Communication Compressing Data transmission Datasets Dictionaries Efficiency Electrical Engineering Electrocardiography Electroencephalography Electromyography Electronics and Microelectronics Engineering Instrumentation Literature reviews Methods Monitoring Power Receivers & amplifiers Reconstruction Sensors Signal processing Signal,Image and Speech Processing Telemedicine Wearable computers Wearable technology Incremental learning Joint multi-modality compression Multi-sensor wearable system Multimodal Autoencoder Wireless wearable device Biomedical signal processing
ISSN:	0278-081X, 1531-5878
Online Access:	Get full text
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