Improving the Accuracy of R-Peak Detection in a Wearable Armband Device for Daily Life Electrocardiogram Monitoring Using a Deep Convolutional Denoising Encoder-Decoder Network

Continuous long-term heart rate (HR) monitoring using wearable devices is desirable to aid in the diagnosis of many health-related conditions. Recently, we have developed an armband device that does not use obstructive leads, has dry electrodes which are convenient for long-term electrocardiogram (E...

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Bibliographic Details

Published in:	2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) Vol. 2022; pp. 4291 - 4294
Main Authors:	Hajeb-Mohammadalipour, Shirin, Hossain, Md-Billal, Chon, Ki H.
Format:	Conference Proceeding Journal Article
Language:	English
Published:	IEEE 01.01.2022
Subjects:	Clinical Relevance─This study provides a method to remove significant EMG artifacts that may blur the identification of R-peaks in the armband ECG recordings. This approach can more accurately detect HR and may increase the percent of data that are usable Electrocardiography Electromyography even during daytime recordings Heart rate Noise reduction Recording Training Wearable computers
ISSN:	2694-0604, 2694-0604
Online Access:	Get full text
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