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作 者:李永勤[1] 王胜军[1] 高方[2] 邓亲恺[1]
机构地区:[1]南方医科大学生物医学工程系医学物理教研室,广东广州510515 [2]南方医科大学南方医院内分泌科,广东广州510515
出 处:《第一军医大学学报》2004年第10期1140-1142,1146,共4页Journal of First Military Medical University
基 金:广东省重点科技攻关项目(99M04701G)~~
摘 要:目的在研究皮肤流电响应(GSR)检测原理的基础上,通过研制样机并进行临床研究,以实现对糖尿病早期自主神经病变(DAN)的无创检测与疗效分析。方法随机选择25名糖尿病患者(包括14例伴有明显的DAN),采用基于LabVIEW的虚拟仪器开发平台,获得左右两侧手指的GSR信号。采用相应的分析软件分析,并与对照组进行对比。结果无论患者有无出现临床DAN症状,GSR研究方法对糖尿病患者均表现出很强的特异性,同时临床治疗前后也表现出较明显的改变。结论GSR检测分析方法及本样机在评价与诊断DAN方面具有重要价值,能够为临床诊断和治疗DAN提供参考依据。Objective To explore a method for early detection of diabetic autonomic neuropathy (DAN) on the basis of analysis of galvanic skin response (GSR). Methods In 25 randomly selected diabetic inpatients (14 with clinical DAN symptoms), GSR signals were collected from the fingers of both hands based on Virtual Instrumental WorkBench-LabVIEW and compared with those acquired from normal subjects. Results The GSR indices of patients either with or without DAN were different from those of normal subjects, and even in the same patients, the changes of these indices after clinical treatment were also obvious. Conclusion GSR detection and analysis can help understand the impairment of the autonomic system and facilitate DAN assessment.
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