Deep Learning for Analysis of Physiological Data from Wearable Sensors
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Biomedical Sensors".
Deadline for manuscript submissions: closed (15 April 2021) | Viewed by 7207
Special Issue Editors
Interests: machine learning; deep learning; wearable device; biosignal processing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Wearable sensors have recently gained attention due to their ability to measure and monitor physiological signals anytime and anywhere. These could potentially contribute to better management of chronic diseases such as diabetes, asthma, and cardiovascular diseases. With the emergence of deep learning, the hidden physiological features have been more accurately estimated. However, we also need to consider how the complicated deep learning computational resources are managed in the limited specification of wearable devices. This Special Issue is addressed to all the related topics for deep learning with physiological wearable sensors
Prof. Dr. Jinseok Lee
Dr. Dwaipayan Biswas
Guest Editors
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Keywords
- wearable sensors
- physiological data analysis
- deep learning
- model optimization
- power and energy management
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