检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
机构地区:[1]南京医科大学生物医学工程系,南京210029 [2]南京医科大学数学与计算机教研室,南京210029
出 处:《北京生物医学工程》2010年第4期364-367,共4页Beijing Biomedical Engineering
基 金:江苏省教育厅自然科学基金(06KJB310076)资助
摘 要:体感诱发电位技术是术中神经监护的主要技术,由于诱发信号的信噪比一般很低,临床上普遍采用相干平均技术提取体感诱发信号。本文基于独立分量分析算法,设计实现的体感诱发电位仪,除了能对各刺激参数可调外,通过大鼠实验,发现还具有所需刺激次数少、细节信息明显和实时显示提取波形等特点,因而有着很好的医学应用前景。The most commonly used electrophysiological technique in intraoperative neurologic monitoring is somatosensory evoked potential( SSEP), which is commonly extracted by using coherent averaging clinically because of the induced signals with low noise ratio. Based on independent component analysis (ICA), a SSEP instrument was designed in this paper, which could regulate the amplitude, frequency and duty cycle of the stimulation. More importantly, it required fewer times of stimulation and fewer details of the extraction, even realized real-time display were lost through the rat experiment. Therefore it had a well medicine aoolication prospect.
关 键 词:体感诱发电位(SSEP) 刺激采集系统 独立分量分析(ICA)
分 类 号:R318.04[医药卫生—生物医学工程]
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:18.217.95.146