A personal body area network as a pre-screening surrogate to the polysomnography

Authors:
Sheryl LaFleur;Imad Mahgoub
Affiliations:
Electrical Engineering and Computer Science, Boca Raton, FL;Electrical Engineering and Computer Science, Boca Raton, FL
Venue:
BodyNets '13 Proceedings of the 8th International Conference on Body Area Networks
Year:
2013

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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.