Developing cognitive decline baseline for normal ageing from sleep-EEG monitoring using wireless neurosensor devices

Sleep has a well-organized and consistent structure and hence can be a valuable instrument for investigating cognitive decline with ageing, and other neurological disorders. The ab- normality in brain function can be observed by changes in sleep patterns and brain signals in Electroencephalograph - EEG recordings. In this study, EEGs are captured through different sleep stages from different age groups, to develop baseline for normal healthy ageing. Threshold values are de- fined and extracted from sleep-spindles' amplitude and frequency characteristics. These values can then be compared with abnormal EEGs in progressive neurodegenerative subjects to identify the progression of the disease leading to decline in cognition and related mobility problems. Cognitive decline indicators derived from this preliminary study, will be useful to build intelligence in non-invasive wireless monitoring systems.