中風和脊髓損傷常造成肌肉與中樞神經管道的中斷，使患者失去控制肌肉的能力，無法自主運動，人腦電腦介面為神經工程中幫助患者恢復自主意志與外界溝通能力的重要方法之一。人腦電腦介面系統中需要輔具以輔助患者肌力之不足，或提供生物回饋以增進系統之性能。

　　本研究目的在於發展一套供人腦電腦介面用之雙自由度主動式手部輔具，該輔具以聚丙烯為主體，RC伺服馬達為動力源。控制系統方面則建構了兩種邏輯控制，即開關邏輯及有限狀態邏輯，以配合腦波辨識率程度不同的使用者。此外本輔具更裝設一機械刺激器於受測者手掌，利用隨機共振法強化波。最後進行常人人體實驗，共有七名受測者，由受測者想像左右側抓握物件並配合機械刺激，測試穿戴手部輔具與否對本研究室先前發展之腦波辨識率系統之影響。以two-way ANOVA進行實驗數據統計分析，選取顯著水準0.1，結果顯示左右側想像與辨識率高低有關，且非慣用側想像平均辨識率提高約11.3%。雖然穿戴手部輔具在統計分析上並無意義，但穿戴後其平均辨識率約提高6.2%。

　　與前代主動式輔具比較，本研究發展之輔具重量更輕，腦波干擾低，唯辨識率較低。未來若能增加波以進行辨識，並結合生物回授訓練，或許能得到更佳的辨識率。

　　Stroke and spinal cord injury frequently lead to the disconnection between central nervous system and muscles. Patients lose the ability of muscle control and cannot exercise on their will. Brain-computer interface (BCI) is one of the important technologies in neural engineering to help patients recover communication between their mind and environment. In a BCI system, orthotic devices are necessary either to enhance the weak muscles or to provide biofeedback to improve performance of the man-machine system.

　　An active orthotic hand with two degrees of freedom was developed in this thesis. Its main body was made of polypropylene and the actuator is a light-weight RC servo motor. For better control, two types of logic controls, namely, on-off and finite state controls are implemented for users with different EEG detection rate.

　　Besides, a mechanical stimulator was set on the orthotic hand and it stimulates the subject’s palm to enhance the event-related desynchronization of  wave by using the principle of stochastic resonance. Finally, clinical trials on seven normal subjects were performed to investigate the factors, namely, right or left hand imaginary task and wearing of orthotic hand which affect the success rate of orthosis operation. The result analyzed by two-way ANOVA indicates that right or left imaginary may affect the EEG detection rate and the average EEG detection rate of the non-habitual-handed imagination is higher than those of habitual-handed about 11.3% under  level of 0.1. Although wearing of orthotic hand has no statistical meaning in ANOVA analysis, its average EEG detection rate is higher than those of orthotic hand free about 6.2%.

　　Compared with previous work, the new orthotic hand has two advantages: light weight and low disturbance to EEG acquisition although the average success rate of operation was low. Further study on combining  wave and biofeedback training might improve the success rate.

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