Distinction of Students and Expert Therapists Based on Therapeutic Motions on a Robotic Device Using Support Vector Machine
Distinction of Students and Expert Therapists Based on Therapeutic Motions on a Robotic Device Using Support Vector Machine
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基于使用支持向量机的机器人设备上的治疗运动来区分学生和专家治疗师
DOI：
10.1007/s40846-020-00562-3
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发表时间：
2020
影响因子：
2
通讯作者：
Koike Yuji，Suzuki Makoto，Okino Akihisa，Takeda Kazuhisa，Takanami Yasuhiro，Hamaguchi Toyohiro
中科院分区：
文献类型：
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作者：
坪内 善仁;下村 広大;田結荘 秋嘉 ;大西 和弘;内藤 泰男;Koike Yuji，Suzuki Makoto，Okino Akihisa，Takeda Kazuhisa，Takanami Yasuhiro，Hamaguchi Toyohiro
PurposeTo澄清运动疗法的特征值，可以区分学生和专家治疗师，并使用此信息作为参考运动疗法education.MethodsThe参与者是治疗师与5年或以上的临床经验和第4年的学生在职业治疗师培训学校谁已经完成了他们的临床实践。运动治疗任务包括基于手肘屈曲角度、角速度和运动间隔记录在手肘关节上实施的Samothrace（代号，SAMO）运动。为了进行分析和学生/治疗师比较，使用通过SAMO获得的肘关节角度变化数据计算峰值屈曲角度、峰值速度和运动时间。随后，自举数据被生成以区分治疗师和学生采用的运动治疗技术，并使用支持向量机生成四种类型的数据组合，包括峰值屈曲角度、峰值速度和运动时间值。这些数据被用来估计和比较各自的准确性与Friedman test.ResultsThe峰屈曲角度显着较小的情况下，学生。此外，与治疗师相比，峰值速度更大，峰值屈曲角度更小，运动时间更短。峰值速度和峰值屈曲角度的组合产生了最高的诊断准确率。ConclusionWhen学生和治疗师进行上肢运动治疗技术的基础上的机器人手臂的运动学运动，运动速度和关节角度不同。峰值速度和峰值屈曲角度的组合是用于区分学生和治疗师的能力的最有效的分类器。治疗师组的峰值速度和峰值屈曲角度可作为学生学习上肢治疗性运动技术时的参考。
PurposeTo clarify the feature values of exercise therapy that can differentiate students and expert therapists and use this information as a reference for exercise therapy education.MethodsThe participants were therapists with 5 or more years of clinical experience and 4th year students at occupational therapist training schools who had completed their clinical practices. The exercise therapy task included Samothrace (code name, SAMO) exercises implemented on the elbow joint based on the elbow flexion angle, angular velocity, and exercise interval recordings. For analyses and student/therapist comparisons, the peak flexion angle, peak velocity, and movement time were calculated using data on elbow angle changes acquired via SAMO. Subsequently, bootstrap data were generated to differentiate between the exercise therapy techniques adopted by therapists and students, and a support vector machine was used to generate four types of data combinations with the peak flexion angle, peak velocity, and movement time values. These data were used to estimate and compare the respective accuracies with the Friedman test.ResultsThe peak flexion angles were significantly smaller in the case of students. Furthermore, the peak velocities were larger, the peak flexion angles were smaller, and the movement times were shorter compared with those of therapists. The combination of peak velocity and peak flexion angle yielded the highest diagnostic accuracies.ConclusionWhen students and therapists performed upper limb exercise therapy techniques based on the kinematics movement of a robot arm, the movement speeds and joint angles differed. The combination of peak velocity and peak flexion angle was the most effective classifier used for the differentiation of the abilities of students and therapists. The peak velocity and peak flexion angle of the therapist group can be used as a reference for students when they learn upper limb therapeutic exercise techniques.
职业治疗学生和毕业生对专业教育和实践准备的满意度
DOI：
10.1177/000841740707400303
发表时间：
2007
期刊：
Canadian Journal of Occupational Therapy
影响因子：
--
作者：
S. Hodgetts;V. Hollis;Ollie Triska;Steven A. Dennis;H. Madill;Elizabeth Taylor
通讯作者：
Elizabeth Taylor
影响因子：
14.5
作者：
Kloeppel, Stefan;Stonnington, Cynthia M.;Chu, Carlton;Draganski, Bogdan;Scahill, Rachael I.;Rohrer, Jonathan D.;Fox, Nick C.;Jack, Clifford R., Jr.;Ashburner, John;Frackowiak, Richard S. J.
通讯作者：
Frackowiak, Richard S. J.
影响因子：
3.8
作者：
Tikoo K;Kumar P;Gupta J
通讯作者：
Gupta J