Monitoring and Classification of Human Sleep Postures, Seizures, and Falls From Bed Using Three-Axis Acceleration Signals and Machine Learning.
Chawakorn IntongkumYoschanin SasiwatKiattisak SengchuaiApidet BooranawongPornchai PhukpattaranontPublished in: SN Comput. Sci. (2024)
Keyphrases
- eeg signals
- machine learning
- sleep stage
- machine learning methods
- pattern recognition
- decision trees
- support vector machine
- machine learning algorithms
- feature selection
- supervised learning
- text classification
- signal processing
- supervised machine learning
- classification accuracy
- real time
- support vector
- data mining
- machine learning approaches
- pattern classification
- obstructive sleep apnea
- supervised classification
- classification models
- learning tasks
- classification method
- monitoring system
- model selection
- human learning
- training data
- electrical activity
- unsupervised learning
- brain computer interface
- independent component analysis
- activity recognition
- image classification
- text mining
- feature extraction
- neural network