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RISS 인기검색어
- 검색키워드
- 저자 : Fusae Kawana (검색결과 5 건)
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Automatic detection of apnea and EEG arousals for sleep apnea syndrome
Genya Matsuoka,Takenao Sugi,Fusae Kawana,Masatoshi Nakamura 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8
Sleep apnea/hypapnea syndrome (SAHS) is one of serious sleep disorders. EEG anousals due to the a pnea hypopnea are frequently appeared in polysamnographic(PSG) record in patients with SAHS. In this study, the method for detecting EEG arousals and apnea interval in PSG record was proposed for supporting visual inspection to classify respiratory levels and EEG arousals. Two threshold values were established for classifying the sleep aprea conditions and threshold values for detecting EEG arousals were then determined accordin to the results of apnea interval detection. Proposed automatic detection method will be an effective for diagnosis support system.
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Automatic Sleep Stage Determination for Sleep Apnea Syndrome Patients
Bei Wang,Takenao Sugi,Fusae Kawana,Xingyu Wang,Masatoshi Nakamura 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8
In this study, the multivariate probability distribution was investigated to develop the expert knowledge-based automatic sleep stage determination technique. The ultimate purpose is to develop adaptive automatic sleep stage deter-mination algorithm for clinical practice. Gaussi and is tribution was adopted to realize automatic parameter selection while Cauchy distribution was a dopted to estimate the parameter distriution. The different usage of multivariate probability distribution of Gaussian and Cauchy distribution presented effectiveness for automatic sleep stage determination.
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Bei Wang,Takenao Sugi,Fusae Kawana,Xingyu Wang,Masatoshi Nakamura 제어로봇시스템학회 2008 제어로봇시스템학회 국제학술대회 논문집 Vol.2008 No.10
An automatic sleep stage determination system dealing with the sleep data contaminated by artifacts is developed, which is working on an expert knowledge-based multi-valued decision making method. The knowledge database is consisted of probability density functions of parameters for various sleep stages according to the visual inspection by a qualified clinician. The probability density functions are approximated by Cauchy distribution on histograms. Sleep stages are determined automatically according to the maximum value of conditional probability. Due to the infinite variance of Cauchy distribution, the effect of mis-determination caused by artifacts can be abated. The result of automatic sleep stage determination was satisfactory. The presented automatic sleep stage determination can be an assistant tool for clinical practice.
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Effects of Body Pillow Use on Sleeping Posture and Sleep Architecture in Healthy Young Adults
Park Insung,Suzuki Chihiro,Suzuki Yoko,Kawana Fusae,Yajima Katsuhiko,Fukusumi Shoji,Kokubo Toshio,Tokuyama Kumpei,Yanagisawa Masashi,Satoh Makoto 대한수면학회 2021 sleep medicine research Vol.12 No.1
Background and Objective Patients with position-dependent obstructive sleep apnea have a > 2-fold higher apnea-hypopnea index when sleeping in a supine position compared with a non-supine position. We investigated the effect of body pillow use on sleeping body position and sleep architecture in healthy young adults. Methods In experiment 1, we evaluated the body pressure distribution with or without body pillow use in 8 healthy young adults [age, 36.5 ± 13.0 years; body mass index (BMI); 20.6 ± 1.2 kg/m2]. In experiment 2, we performed a randomized-crossover intervention study to evaluate the effects of body pillow use on sleeping position and sleep architecture in 10 healthy young adults (age, 24.3 ± 7.8 years; BMI, 21.4 ± 1.7 kg/m2). Sleep architecture was characterized by polysomnography, and body positions were monitored using a sensor. Subjective sleep quality was evaluated with the Oguri-Shirakawa-Azumi sleep inventory, middle age and aged version. Results In experiment 1, body pillow use significantly reduced mean body pressure on the shoulder, hip, and whole body. In experiment 2, mean time spent in the supine, lateral, and prone body positions did not differ significantly between the 2 trials. Body pillow use, however, significantly extended the sustained time spent in the lateral body position compared with the control trial. Subjective sleep quality and sleep architecture did not differ significantly between the 2 trials, but body pillow use decreased the number of short (30 s) slow-wave sleep episodes. Conclusions Sleeping with a body pillow effectively extends sustained time in a lateral sleeping position and prevents segmentation of slow-wave sleep episodes.
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Improvement of Slow Wave Sleep Continuity by Mattress with Better Body Pressure Dispersal
Momoko Kayaba,Hitomi Ogata,Insung Park,Asuka Ishihara,Fusae Kawana,Toshio Kokubo,Shoji Fukusumi,Michiko Hayashi,Kumpei Tokuyama,Masashi Yanagisawa,Makoto Satoh 대한수면학회 2019 sleep medicine research Vol.10 No.2
Background and Objective This study evaluated the effects of a mattress with better body pressure dispersal in comparison to a control mattress on sleep quality. Methods In this randomized crossover study, 10 healthy young men slept in an experimental sleep room on either a functional mattress made from polyurethane, with a special four-layer three-dimensional structure, or a control mattress made from solid polyester wadding, which is a mattress commercially available in Japan. Polysomnography recordings were used to characterize sleep architecture, and the length of slow wave sleep (SWS) episodes and delta power density were calculated from the electroencephalography data and subjective sleep quality was evaluated by questionnaire they answered after waking. Results There were no significant differences in sleep latency, the total duration of each sleep stages, total sleep time, or sleep efficiency. Although the difference was subtle, delta power density significantly increased with the functional mattress. There was no difference in the total duration of SWS, but there were significantly fewer SWS episodes with the functional mattress (10.3 ± 1.8) than with the control mattress (16.9 ± 1.2) and longer SWS episode duration (10.9 ± 1.7 min) with the functional mattress than with the control mattress (5.6 ± 0.5 min). Conclusions It was suggested that the functional mattress lengthened SWS episode duration, and its fragmentation was effective in evaluating the sleep quality of healthy young individuals.
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