J.M. Rodrigues, J.L. Malaquias, L. Osório, C. Correia, and J. Basílio Simões (Portugal)
Telemedicine, Machine to machine (M2M) Communication, pediatric Sleep Apnea, Signal and Image Processing, Vital Signals.
Remote monitoring has the potential to greatly impact many aspects of medical care. Diagnostic techniques for sleep apnea in children are an example of this concept. The most common type of sleep apnea is obstructive sleep apnea (OSA). There are broadly two ways of diagnosing OSA. One is Polysomnography, which must take place in a specially equipped medical facility. The other uses a portable monitoring system called oximetry, which was developed to facilitate sleep monitorization at home, in an environment closer to the patients' normal sleep habits. However oximetry generates false positive results for sleep apnea, making it necessary to use Polysomnography for a more definitive diagnosis. Sleep studies have also been made, using digital cameras and image processing, where it has been shown the feasibility of identifying sleep apneas. This paper describes a portable telemedical system capable of cross-examining audio and image recordings with oximetry data. The goal is to help medical teams in the diagnosis of sleep apnea, by improving the oximetry method's efficiency.
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