Research Article
A Personal Body Area Network as a Pre-Screening Surrogate to the Polysomnography
@INPROCEEDINGS{10.4108/icst.bodynets.2013.253687, author={Sheryl LaFleur and Imad Mahgoub}, title={A Personal Body Area Network as a Pre-Screening Surrogate to the Polysomnography}, proceedings={8th International Conference on Body Area Networks}, publisher={ICST}, proceedings_a={BODYNETS}, year={2013}, month={10}, keywords={polysomnography (psg) long qt syndrome (lqts) obstructive sleep apnea (osa) oxygen saturation level (spo2 discrete wavelet transform (dwt) personal body area network (pban)}, doi={10.4108/icst.bodynets.2013.253687} }- Sheryl LaFleur
Imad Mahgoub
Year: 2013
A Personal Body Area Network as a Pre-Screening Surrogate to the Polysomnography
BODYNETS
ACM
DOI: 10.4108/icst.bodynets.2013.253687
Abstract
In this paper we introduce a Personal Body Area Network (PBAN) as a pre-screening surrogate to the sleep study known as polysomnography (PSG). The network consists of an automated algorithm for detecting the presence of the Long QT Syndrome (LQTS) which is associated with Obstructive Sleep Apnea (OSA). Our LQTS detection algorithm uses the Daubechies D4 wavelet filter transform to further enhance the results of our detection process. We incorporated the LQTS detection algorithm into Alive Technologies' Heart and Activity Monitor. The ECG signal and the SpO2 data are correlated through our proposed Correlation Classifier resulting in a hypopnea index, or AHI.
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