Study on the Key Technique for Non-contact Sleep Apnea Detection
QI Fu-guia, LI Chuan-taob, ZHANG Huab, LI Shengb, WANG Jian-qib, LU Guo-huab
a. 2014 Master Class Under the Management of Postgraduate Department; b.Department of Electronics, School of Biomedical Engineering, The Fourth Military Medical University, Xi’an Shaanxi 710032, China
Abstract：To realize the non-contact monitoring of the sleep apnea under low physical and mental load condition, a comprehensive method is used in this paper. First of all, the non-contact collection of human respiratory signals is conducted by bio-radar. Secondly, based on the construction of the simulated sleep apnea signals through functional simulation, the time-domain-based energy spectrum and the wavelet-domain-based wavelet information entropy spectrum are proposed. Finally, according to the accuracy of these two methods, a comprehensive algorithm is put forward to realize the non-contact monitoring of the sleep apnea. The experimental results shows that the comprehensive judgement of the sleep apnea by using the energy spectrum and wavelet information entropy spectrum according to the weight of the accuracy can actually judge the apnea times of obstructive sleep. The comprehensive judgement method will lay the technical foundation of the non-contact aided-diagnosis of sleep apnea.
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QI Fu-gui, LI Chuan-tao, ZHANG Hua, LI Sheng, WANG Jian-qi, LU Guo-hua. Study on the Key Technique for Non-contact Sleep Apnea Detection. China Medical Devices, 2014, 29(12): 24-27.
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