Li Yong-qin, Wang Sheng-jun, Gao Fang, Deng Qin-kai
Laboratory of Medical Physics, Department of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China.
Di Yi Jun Yi Da Xue Xue Bao. 2004 Oct;24(10):1140-2, 1146.
To explore a method for early detection of diabetic autonomic neuropathy (DAN) on the basis of analysis of galvanic skin response (GSR).
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.
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.
GSR detection and analysis can help understand the impairment of the autonomic system and facilitate DAN assessment.
在分析皮肤电反应(GSR)的基础上探索一种早期检测糖尿病自主神经病变(DAN)的方法。
随机选取25例糖尿病住院患者(14例有临床DAN症状),基于虚拟仪器工作台- LabVIEW从双手手指采集GSR信号,并与正常受试者采集的信号进行比较。
有或无DAN的患者的GSR指标均与正常受试者不同,且即使是同一患者,临床治疗后这些指标的变化也很明显。
GSR检测与分析有助于了解自主神经系统的损害情况并促进DAN评估。