Autoencoder-Based Neural Network Model for Anomaly Detection in Wireless Body Area Networks

In medical healthcare services, Wireless Body Area Networks (WBANs) are enabler tools for tracking healthcare conditions by monitoring some critical vital signs of the human body. Healthcare providers and consultants use such collected data to assess the status of patients in intensive care units (I...

Full description

Saved in:

Bibliographic Details
Published in:	IoT Vol. 5; no. 4; pp. 852 - 870
Main Author:	Rassam, Murad A.
Format:	Journal Article
Language:	English
Published:	Montreal MDPI AG 01.12.2024
Subjects:	Accuracy anomaly detection autoencoders Big Data Blood pressure Data compression Datasets Electrocardiography Energy consumption Intensive care Machine learning Medical personnel Neural networks Older people Patients Physiology real-world dataset Sensors wireless body area networks
ISSN:	2624-831X, 2624-831X
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!