Title :
Development of an arm robot for neurologic examination training
Author :
Wang, Chunbao ; Noh, Yohan ; Ebihara, Kazuki ; Terunaga, Chihara ; Tokumoto, Mitsuhiro ; Okuyama, Isamu ; Yusuke, Matsuoka ; Ishii, Hiroyuki ; Takanishi, Atsuo ; Hatake, Kazuyuki ; Shoji, Satoru
Author_Institution :
Grad. Sch. of Adv. Sci. & Eng., Waseda Univ., Tokyo, Japan
Abstract :
Neurologic examination takes an important role in diagnosis of the nerve system diseases. Neurologic medical staffs, especially the novices, need to be trained on this skill. There are many methodologies which can help to accumulate experiences, such as watching video, reading books, making use of the simulated patient (SP), and so on. However, the best way is to practice on the real patient. All the above methods have their own drawbacks such as lack of active interactions, limitation of multi-symptoms´ reproducing, etc. To improve the training effectiveness, an arm robot is proposed in this paper for neurologic examination training as one part of the whole body patient robot named Waseda Kyotokagaku Patient (WKP). In this robot, various symptoms of the elbow force, biceps tendon reflex, involuntary action, and so on, are simulated and shown to the trainee. Finally, a set of experiments was carried out to verify our proposed mechanism and control system. Three neurologists with over 30 years´ experience were invited to show their opinions on the reproductions of patients´ symptoms, and to discuss the results. The effectiveness of this system was confirmed. The experimental results lead to the consideration that the approach is worth following in further research.
Keywords :
diseases; manipulators; medical robotics; muscle; neurophysiology; patient diagnosis; training; Waseda Kyotokagaku Patient; active interaction; arm robot; biceps tendon reflex; elbow force; involuntary action; nerve system disease diagnosis; neurologic examination training; neurologic medical staff; training effectiveness improvement; whole body patient robot; Elbow; Force; Muscles; Robot sensing systems; Tendons; Training;
Conference_Titel :
Intelligent Robots and Systems (IROS), 2012 IEEE/RSJ International Conference on
Conference_Location :
Vilamoura
Print_ISBN :
978-1-4673-1737-5
DOI :
10.1109/IROS.2012.6385801