We developed, trained, and compared two machine learning models using neural networks and random forest algorithms to predict sleep stages from 15 variables (features) of the muscle activity and HR data collected from 12 cows in two environments. Using k-fold cross validation we compared the ...
Edouard, P.; Campo, D.; Bartet, P.; Yang, R.Y.; Bruyneel, M.; Roisman, G.; Escourrou, P. Validation of the Withings Sleep Analyzer, an under-the-mattress device for the detection of moderate-severe sleep apnea syndrome.J. Clin. Sleep Med.2021,17, 1217–1227. [Google Scholar]...
While apnea is one of the better-studied sleep disorders [3], there are only a few studies related to sleep arousals. The main reasons are expensive research due to the difficulties associated with sleep arousal detection with traditional methods and, compared with apnea, automated detection of ...
Sleep staging is essential for evaluating sleep and its disorders. Most sleep studies today incorporate contact sensors that may interfere with natural sleep and may bias results. Moreover, the availability of sleep studies is limited, and many people wi
While apnea is one of the better-studied sleep disorders [3], there are only a few studies related to sleep arousals. The main reasons are expensive research due to the difficulties associated with sleep arousal detection with traditional methods and, compared with apnea, automated detection of ...