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Sleep stages classification using vital signals recordings

  • To evaluate the quality of a person´s sleep it is essential to identify the sleep stages and their durations. Currently, the gold standard in terms of sleep analysis is overnight polysomnography (PSG), during which several techniques like EEG (eletroencephalogram), EOG (electrooculogram), EMG (electromyogram), ECG (electrocardiogram), SpO2 (blood oxygen saturation) and for example respiratory airflow and respiratory effort are recorded. These expensive and complex procedures, applied in sleep laboratories, are invasive and unfamiliar for the subjects and it is a reason why it might have an impact on the recorded data. These are the main reasons why low-cost home diagnostic systems are likely to be advantageous. Their aim is to reach a larger population by reducing the number of parameters recorded. Nowadays, many wearable devices promise to measure sleep quality using only the ECG and body-movement signals. This work presents an android application developed in order to proof the accuracy of an algorithm published in the sleep literature. The algorithm uses ECG and body movement recordings to estimate sleep stages. The pre-recorded signals fed into the algorithm have been taken from physionet1 online database. The obtained results have been compared with those of the standard method used in PSG. The mean agreement ratios between the sleep stages REM, Wake, NREM-1, NREM-2 and NREM-3 were 38.1%, 14%, 16%, 75% and 54.3%.

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Author of HS ReutlingenMartínez Madrid, Natividad
Erschienen in:Proceedings of 2015 12th International Workshop on Intelligent Solutions in Embedded Systems (WISES) : Università Politecnica delle Marche, Ancona, Italy, 29.-30. Oct. 2015
Place of publication:Piscataway, NJ
Editor:Massimo Conti
Document Type:Conference proceeding
Publication year:2015
Tag:REM stage; algorithm; body-movement; heartbeat; non REM stage; sleep stage
Page Number:4
First Page:47
Last Page:50
DDC classes:004 Informatik
Open access?:Nein
Licence (German):License Logo  In Copyright - Urheberrechtlich geschützt