Abstract
Sleep apnea is defined as a disorder in which the patient feels uneasiness during sleep occurring as a consequence of irregularity in breathing. If sleep apnea is not treated or diagnosed on time, it may lead to life-threatening diseases. The current medical practices to detect sleep apnea rely on contact-based approach. Therefore, this paper is an attempt to propose a non-contact approach for the detection of the sleep apnea disorder in which the breathing rate of the patient is detected using a motion detector followed by the processing of the acquired signal and then the analysis of the signal. The non-contact approach if implemented could be a boon for the medical experts and will open new horizons for the real-time monitoring of parameters of the patients.
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Rai, S.K., Sharma, C., Shaw, V., Jha, R.K., Kumar, S. (2021). A Non-contact Approach for Detection of Sleep Apnea Using Doppler Phenomena. In: Mahapatra, R.P., Panigrahi, B.K., Kaushik, B.K., Roy, S. (eds) Proceedings of 6th International Conference on Recent Trends in Computing. Lecture Notes in Networks and Systems, vol 177. Springer, Singapore. https://doi.org/10.1007/978-981-33-4501-0_10
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DOI: https://doi.org/10.1007/978-981-33-4501-0_10
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