Medical Signal Processing

Abstract

This chapter introduces sleep, the pattern of sleep, wakefulness, disorders associated with sleep, diseases of heart and lungs that can be identified by analysing one's sleep. Sleep is generally equated to the neurological system and the brain. It is believed that sleep can be identified only with EEG. This chapter also explores the usage of EEG in detecting the disorders associated with sleep, and more emphasis is given to the bio signals other than EEG, which includes ECG, PPG, acoustic signals that can be used in understanding the sleep and its related disorders. It explains the biomedical devices that are used for sleep-related studies. This chapter explores the stages of sleep signal processing where the authors have suggested how to reduce noises at the stage of data acquisition. Further topics explore various signal processing methods that need to be adapted in various stages, namely preprocessing, filtering, feature extraction, validation, and automated processing.