Relapse Detection in Patients with Psychotic Disorders Using Unsupervised Learning on Smartwatch Signals.
Salam HamiehVincent HeiriesHussein Al OsmanChristelle GodinPublished in: ICASSP (2023)
Keyphrases
- unsupervised learning
- physiological data
- neurological disorders
- epileptic seizures
- automatic detection
- detection method
- supervised learning
- detection algorithm
- detection rate
- phase locked
- false positives
- anomaly detection
- dimensionality reduction
- object detection
- low signal to noise ratio
- patient data
- false alarms
- signal processing
- computer vision
- signal detection
- medical data
- feature selection
- image processing
- training data
- physiological signals
- medical images
- model selection
- machine learning
- data mining
- data sets