Title :
Verification of effectiveness on position correction system using HRV analysis with obstructive sleep apnea
Author :
Byeong Cheol Choi ; SooYoung Ye ; Sung Yun Park ; Sung Min Kim
Author_Institution :
Dept. of Biomed. Eng., Choonhae Coll. of health Sci., Ulsan, South Korea
Abstract :
Obstructive sleep apnea (OSA) is a sufficiently common disease that may negatively affect high-quality sleeping. Reduction in muscle strain of body and laxity in the respiratory tract during sleeping can cause apnea in sleep period. OSA decreases blood oxygen saturation and increases effort to breathe to cause arousal via reaction of neurologic mechanisms, indicating that it induces autonomic imbalance by enhancing activities in the sympathetic nervous system. In this context, the purpose of this paper is to identify freeing airways via changing positions during sleeping in order to alleviate causes of airway blockage by muscular laxity while sleeping. The authors caused changes in sleeping positions and airway blockage while sleeping, analyzing the time and the frequency domains of the Heart rate variability (HRV) signals. Among the parameters used in this study, there were statistically significant differences in OSA section and the transformation of those parameters in the standard deviation of NN interval (SDNN) of the time domain and the NLF, the NHF, and the low frequency (LF)/high frequency (HF) of the frequency domain. In conclusion, sleep apnea symptoms may be alleviated via changing positions during sleep apnea.
Keywords :
bioelectric potentials; diseases; electrocardiography; medical signal detection; medical signal processing; muscle; neurophysiology; pneumodynamics; sleep; statistical analysis; HRV signal analysis; SDNN; airway blockage; autonomic imbalance; blood oxygen saturation; breathing; heart rate variability; muscle strain reduction; muscular laxity; neurologic mechanisms; obstructive sleep apnea; position correction system; respiratory tract; standard deviation of NN interval; sympathetic nervous system; Electrocardiography; Frequency-domain analysis; Hafnium; Heart rate variability; Resonant frequency; Sensors; Sleep apnea;
Conference_Titel :
Biomedical and Health Informatics (BHI), 2014 IEEE-EMBS International Conference on
Conference_Location :
Valencia
DOI :
10.1109/BHI.2014.6864470