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睡眠状态下人体生理信号模糊分析系统的研究 被引量:4

Study of fuzzy analytical system for physiological signals during sleep
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摘要 采用LabVIEW技术完成对心电、呼吸、无创血氧和无创血压信号的采集与处理,而后通过MATLAB模糊测量系统对采集的人体生理信号进行模糊预测分析。通过实验检验了人体生理信号检测、处理和模糊预测分析方法的可靠性。LabVIEW技术对人体生理信号的模糊预测分析是有效的,可用于检测阻塞性睡眠呼吸暂停患者的生理状态信号。 A new approach to sleep analysis based on fuzzy prediction theory is described. This article gives a general introduction to detection and processing of biologic signals with LabVIEW software, and the application of the designed fuzzy measurement system in fuzzy prediction analysis of the physiological signals recorded during sleep. The results of trials of the fuzzy prediction analysis demonstrated the reliability of this method. LabVIEW-based fuzzy prediction analysis can be helpful for early diagnosis, monitoring and prognostic assessment of some diseases, and may be valuable in the analysis of the physiologic signals of patients with obstructive sleep apnea syndrome (OSAS) during sleep.
出处 《第一军医大学学报》 CSCD 北大核心 2003年第11期1177-1180,共4页 Journal of First Military Medical University
关键词 睡眠状态 人体 生理信号 模糊预测 阻塞性睡眠呼吸暂停综合征 LabVIEW fuzzy prediction fuzzy measurement system obstructive sleep apnea syndrome
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  • 1Roche F, Gaspoz JM, Court-Fortune I, et al. Screening of obstrutive sleep apnea syndrome by heart into variability analysis [J].Circulation, 1999, 100(13): 1411-5.
  • 2Hilton MF, Bates RA, Godfrey KR, et al. Evaluation of frequency and time-frequency spectral analysis of heart rate variability as a diagnostic marker of the sleep apnoea syndrome[J]. Med Biol Eng Comput, 1999, 37(6): 760-9.
  • 3National Instrument Corporation. The Mesasurement and Automation Catalog 2002 [M]. 2002.49-354.
  • 4Bock J, Gough DA. Toward prediction of physiological state signals in sleep apnea[J ]. IEEE Trans Biomed Eng, 1998, 45(11): 1332-41.

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