Lightweight Photoplethysmography Quality Assessment for Real-time IoT-based Health Monitoring using Unsupervised Anomaly Detection.
Aysan MahmoudzadehIman AzimiAmir M. RahmaniPasi LiljebergPublished in: ANT/EDI40 (2021)
Keyphrases
- lightweight
- quality assessment
- health monitoring
- monitoring system
- real time
- smart home
- sensor data
- power supply
- daily life
- smart environments
- video quality
- continuous monitoring
- unsupervised anomaly detection
- image quality
- human visual system
- wearable sensors
- anomaly detection
- data quality
- image quality assessment
- management system
- activity recognition
- visual quality
- intrusion detection
- ambient intelligence
- sensor networks
- machine learning
- wireless sensor networks
- artificial intelligence