Detection of abnormal operations during surgery via SEMG / EEG and its applications to prevention of malpractice

本研究实现了对内镜手术中某一手术的自动识别，并对识别出的手术异常进行了区分。结扎手术分为7种手术，根据手术量的阈值标准，确定其中一种手术。接下来，当手术被识别为打结时，使用基于操作者表面肌电图（SEMG）的自组织图将打结手术分类为正常或异常。最后，构建了一个预警系统，通过对手术异常的检测来防止手术事故的发生。此外，通过脑电图检测(1)惊讶感和(2)精神疲劳：脑电图是一项基础实验，目的是检测患者病情突然变化时医生的感觉变化，以及检测长时间手术过程中医生的感觉异常。

In this research, an automatic identification of a surgical operation in endoscopic surgery and distinction of the abnormality of the identified surgical operation were executed. Surgical operation of ligation was divided into seven operations, and on the basis of the threshold criteria for the amount of operations of forceps, a surgical operation was identified as one of them. Next, when the surgical operation was identified as a thread knotting, the operation of thread knotting was classified as either normal or abnormal using a self-organizing map based on operator's surface electromyogram:SEMG. Finally, a warning system to prevent malpractice by presenting detection of the abnormal operation to surgeon was constructed. In addition, detection of (1)surprise feeling and (2)mental fatigue via electroencephalogram:EEG was tried as a basic experiment for the purpose of detecting change of feeling of a doctor at the time of sudden condition change of a patie nt and detecting abnorlity of a doctor's feelings during the long time surgical operation.