顾陈磊,刘宇航,李景振,王 磊,聂泽东.生物阻抗技术在手臂红外治疗中的初步应用研究[J].集成技术,2017,6(5):76-82
生物阻抗技术在手臂红外治疗中的初步应用研究
Preliminary Study on the Application of Bioimpedance Technologyin Arm Infrared Physiotherapy
投稿时间: 2017-07-07  最后修改时间: 2017-08-24
DOI:
中文关键词:  红外理疗;生物阻抗;血流;小波变换
英文关键词:infrared physiotherapy; bioimpedance; blood flow; wavelet transform
基金项目:国家自然科学基金(61403366,U1505251); 广东省省级科技计划项目(2015A020214018); 深圳市技术开发项目 (CXZZ20150505093829778)
作者单位
顾陈磊 中国科学院深圳先进技术研究院 深圳 518055 
刘宇航 中国科学院深圳先进技术研究院 深圳 518055 
李景振 中国科学院深圳先进技术研究院 深圳 518055 
王 磊 中国科学院深圳先进技术研究院 深圳 518055 
聂泽东 中国科学院深圳先进技术研究院 深圳 518055 
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中文摘要:
      红外理疗采用红外光对人体部位进行照射,已在各种疾病的辅助治疗中得到了广泛的应用。红 外理疗效果一般由医护人员根据经验进行定性评估,目前鲜有关于红外理疗效果定量分析的报道。鉴于 理疗身体部位血流信息的变化能反映红外理疗效果,实现无创、安全、实时监测红外理疗过程中的血流 信息,将有助于引导红外理疗的疗程安排,提升红外理疗效果。文章提出一种基于生物阻抗的方法对手 臂血流红外理疗效果进行评估。首先,选用 BIOPAC 生理信息记录仪为系统核心,利用二电极法测量人 体心电信号,四电极法同步测量人体手臂在红外光照射前、中、后的生物阻抗变化;其次,通过小波变 换进行基线漂移去除与特征提取分析,并运用朴素贝叶斯模型对特征点的稳定性进行评估。实验结果表 明:手臂生物阻抗信号特征频率与心率变化趋势相同,平均数值误差在 0.09%~1.60%;经红外光照射 后,手臂生物阻抗单周期信号内次级波与主波比值上升,幅度为 3.91%~13.05%,即生物阻抗信号能够 反应手臂血流信息,且具有感知红外理疗过程中血流变化的灵敏性。
英文摘要:
      Infrared physiotherapy is a new method with the application of infrared light to human body parts, whose effect has been widely reported in the treatment of various diseases. Nowadays, the effectiveness of the infrared physiotherapy was generally assessed by the experience of the medical staff qualitatively. As the parameters of blood flow is the key of physiotherapy evaluation, using a noninvasive, safe, and real time monitoring way on blood flow during therapy will benefit guiding the physiotherapy arrangement to enhance the therapy effect. This paper proposes a method based on bioimpedance technology for infrared physiotherapy evaluation in human arm. Firstly, we choose the BIOPAC physiological information recorder as the core of measure system, with double-probe method to measure ECG signal, and four-probe way to synchronously measure the bioimpedance change of human arm before, during and after the infrared irradiation. Then removing baseline drift and extracting feature points by using wavelet transform, applying simple Bayesian model to ensure the stability of the feature points. The experimental results show that (1) The arm bioimpedance signal characteristic frequency matches the heart rate with an average difference 0.09%-1.60%. (2) After the infrared irradiation, the ratio between secondary and the main wave peaks of arm bioimpedance rises 3.91%-13.05%, namely, bioimpedance can represent the change in arm blood flow, and sensitive enough to make an evaluation of infrared physiotherapy.
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