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

• 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

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...