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

在该研究中，执行内窥镜手术中的手术操作的自动识别和识别的手术操作的异常的区分。将结扎手术分为7种手术，根据钳子手术量的阈值标准，确定1种手术为其中之一。接着，当手术操作被识别为线打结时，使用基于操作者的表面肌电图的自组织映射将线打结操作分类为正常或异常。最后，建立一个预警系统，以防止医疗事故，提出检测的异常操作，以外科医生。此外，通过脑电图检测（1）惊奇感和（2）精神疲劳：为了检测在患者突然的状况变化时医生的感觉变化和检测在长时间外科手术期间医生的感觉异常，尝试将EEG作为基础实验。

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.