Polisomnografía con redes de sensores inalámbricas en el estudio y diagnóstico de la apnea del sueño

Abstract

In Colombia, obstructive sleep apnea syndrome (OSAS) is a little known or diagnosed disease, the real number of people affected being uncertain, due to the difficult access to the necessary equipment for diagnosis, lack of qualified personnel and deficits in The health system in general. The objective of this study is to synthesize the research or implementation of wireless sensors in the diagnosis and control of OSAS. To this end, it is possible to highlight methodologies and devices for the orientation of future studies or developments of this type sensors, oriented mainly to SAOS. Thus facilitating the execution of studies at national level that allow to know the real state of health of people affected by SAOS in the country. The review focused mainly on two diagnostic methodologies based on vector support machine and artificial neural networks, reaching values higher than 80% in the classification and detection of OSAS events, and mention is made of two complementary technologies such as data collection Contactless polysomnographic and the development of a wireless sensor for integrated circuits. The implementation of these devices in future projects, will allow the diagnosis and remote monitoring of this disease and the miniaturization integration to smart watches