数据手套在手外伤患者评估中的应用初探

The application of data gloves in the evaluation of patients with hand injuries

目的研究制作一款可辅助康复医师及治疗师评估手外伤患者康复程度的数据手套评估系统。方法本研究设计并制作一款包含有13个6轴惯性传感器的数据手套,并选取10例健康受试者和3例在邵逸夫医院康复科治疗的手外伤患者进行试戴,将手套中每个传感器采集的x轴、Y轴、z轴3个方向的加速度及角速度数据传输到电脑终端,并运用角度解算算法计算被试者各手关节活动度。为验证该数据手套是否能有效反映手外伤患者手关节活动能力,本研究同时采用传统量角器测量方法对数据手套结果进行对比。结果与传统量角器测量方法比较,本研究制作的数据手套评估系统能在更短时间内获得更准确、直观的健康者及手外伤患者手关节活动度数据,降低了康复医师及治疗师评估手外伤患者康复情况的难度。结论本研究制作的数据手套评估系统能有效辅助康复医师及治疗师对手外伤患者恢复情况进行评估。

Objective To develop a data glove evaluation system to assist rehabilitation physicians and therapists in assessing the degree of rehabilitation of hand-wounded patients.Methods A data glove containing 136-axis inertial sensors was designed and produced.It was tested on 10 healthy subjects and 3 hand trauma patients admitted to the Department of Rehabilitation Medicine at Run Run Shaw Hospital.The glove transmitted acceleration and angular velocity components in the X,Y and Z directions to a computer terminal,allowing the bending angles of the subject's finger joints to be calculated.Traditional protractor measurements were used to verify to what extent the data glove accurately reflected the hand and joint activity.Results Compared with the traditional protractor measurement method,the data glove quickly gave accurate maximum bending angles both in healthy and hand-wounded subjects .Such data can facilitate the rehabilitation of hand injuries.Conclusions The data glove produced in this study can effectively assist rehabilitation doctors and therapists in assessing the recovery of handinjured patients.