【摘要】：腦卒中疾病是導(dǎo)致我國老年人死亡和殘疾的重要原因�？祻�(fù)治療是為了幫助患者恢復(fù)因腦卒中造成的運動障礙,然而,當前傳統(tǒng)的康復(fù)手段在臨床應(yīng)用上存在佩戴式設(shè)備復(fù)雜、價格昂貴、康復(fù)訓(xùn)練內(nèi)容乏味等諸多弊端。因此研究者提出一種可以激勵患者的主觀能動性和改善康復(fù)治療效果的康復(fù)系統(tǒng),即為虛擬康復(fù)環(huán)境與上肢康復(fù)技術(shù)相結(jié)合的虛擬康復(fù)系統(tǒng)該系統(tǒng)具有交互性和趣味性,能提高患者對康復(fù)訓(xùn)練的積極性和主動性,提升康復(fù)訓(xùn)練效率同時改善康復(fù)治療效果�；谝陨系谋尘把芯恳约盎颊吆笃诘目祻�(fù)訓(xùn)練的需求,本文將Kinect傳感器與虛擬康復(fù)訓(xùn)練環(huán)境相結(jié)合,設(shè)計了適用于機器人輔助康復(fù)訓(xùn)練的系統(tǒng),具體工作如下:本文首先對腦卒中導(dǎo)致運動障礙的原因和運動康復(fù)理論的理論依據(jù)進行闡述,并且針對Kinect體感技術(shù)在臨床醫(yī)學(xué)上的國內(nèi)外應(yīng)用進行了研究分析,由此建立了基于K inect體感技術(shù)的機器人輔助虛擬康復(fù)訓(xùn)練系統(tǒng)的總體結(jié)構(gòu)和方案設(shè)計。其次,介紹了Kinect傳感器的工作原理以及硬件組成,并依據(jù)Kinect系統(tǒng)體系框架開發(fā)出對人體上肢的骨骼關(guān)節(jié)追蹤以及簡單手勢跟蹤模塊。再次,針對康復(fù)治療中后期的康復(fù)需求以及結(jié)合幾何與圖像相混合的建模技術(shù)設(shè)計并開發(fā)具有高沉浸感的人機交互康復(fù)訓(xùn)練任務(wù),包括水平面康復(fù)運動環(huán)境和三維空間康復(fù)運動環(huán)境,從而對患者肩部、肘部以及腕部的整體協(xié)調(diào)性進行強化訓(xùn)練。最后,以康復(fù)機器人和Kinect傳感器為硬件平臺,構(gòu)建虛擬康復(fù)訓(xùn)練系統(tǒng)實驗平臺,分別對水平面康復(fù)運動以及三維空間康復(fù)運動進行實驗研究,并且對以健康受試者為實驗對象所得運動數(shù)據(jù)進行分析,以此為依據(jù)來驗證基于Kinect體感技術(shù)的機器人輔助康復(fù)訓(xùn)練系統(tǒng)的有效性和可行性。
[Abstract]:Stroke disease is an important cause of death and disability among the elderly in China. Rehabilitation therapy is to help patients recover motor disorders caused by stroke. However, there are many disadvantages in the clinical application of traditional rehabilitation methods, such as complex wearable equipment, expensive price, boring content of rehabilitation training and so on. So the researchers put forward a kind of rehabilitation system which can stimulate patients' subjective initiative and improve the effect of rehabilitation treatment, that is, the virtual rehabilitation system which combines virtual rehabilitation environment with upper limb rehabilitation technology has interactive and interesting characteristics. It can improve the enthusiasm and initiative of patients with rehabilitation training, improve the efficiency of rehabilitation training and improve the effect of rehabilitation treatment. Based on the above background research and the demand of rehabilitation training in the later stage of patients, this paper combines Kinect sensor with virtual rehabilitation training environment, and designs a system suitable for robot assisted rehabilitation training. The main work is as follows: firstly, the causes of motor disorders caused by stroke and the theoretical basis of motor rehabilitation theory are expounded, and the application of Kinect somatosensory technology in clinical medicine is analyzed. The architecture and scheme design of robot assisted virtual rehabilitation training system based on K inect somatosensory technology are established. Secondly, the working principle and hardware composition of Kinect sensor are introduced, and according to the framework of Kinect system, the tracking module of skeleton and joint and simple gesture tracking module of human upper limb are developed. Thirdly, according to the rehabilitation demand in the middle and late stage of rehabilitation therapy and the modeling technology combined with geometry and image, the task of human-computer interactive rehabilitation training with high immersion is designed and developed. Including horizontal rehabilitation exercise environment and three-dimensional rehabilitation exercise environment, so as to strengthen the coordination of shoulder, elbow and wrist. Finally, taking the rehabilitation robot and Kinect sensor as the hardware platform, the virtual rehabilitation training system experiment platform is constructed, and the horizontal rehabilitation movement and the three-dimensional spatial rehabilitation movement are studied respectively. Based on the analysis of the motion data obtained from the healthy subjects, the validity and feasibility of the robot-assisted rehabilitation training system based on Kinect technology are verified.
【學(xué)位授予單位】：南京郵電大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TP242

【參考文獻】

相關(guān)期刊論文 前10條

1 俞夏娣;伍文文;;腦中風(fēng)患者傳統(tǒng)康復(fù)治療臨床療效研究[J];遼寧中醫(yī)雜志;2014年06期

2 盛國棟;曹其新;;基于力反饋的虛擬脊柱手術(shù)模擬系統(tǒng)的構(gòu)建[J];電子技術(shù)應(yīng)用;2013年12期

3 石曼銀;;Kinect技術(shù)與工作原理的研究[J];哈爾濱師范大學(xué)自然科學(xué)學(xué)報;2013年03期

4 顧容;何益明;金麗燕;;基于Kinect骨骼追蹤技術(shù)的智能教學(xué)控制系統(tǒng)的設(shè)計與實現(xiàn)[J];計算機應(yīng)用與軟件;2013年06期

5 鄧瑞;周玲玲;應(yīng)忍冬;;基于Kinect深度信息的手勢提取與識別研究[J];計算機應(yīng)用研究;2013年04期

6 王明東;;基于Kinect骨骼跟蹤功能實現(xiàn)PC的手勢控制[J];漳州職業(yè)技術(shù)學(xué)院學(xué)報;2012年02期

7 羅元;謝_g;張毅;;基于Kinect傳感器的智能輪椅手勢控制系統(tǒng)的設(shè)計與實現(xiàn)[J];機器人;2012年01期

8 關(guān)尊紅;靳汀雁;張秋云;;腦卒中病人早期肢體運動的康復(fù)護理[J];中國療養(yǎng)醫(yī)學(xué);2010年03期

9 龔文青;諸強;;虛擬現(xiàn)實技術(shù)應(yīng)用于運動障礙康復(fù)的研究[J];生物醫(yī)學(xué)工程學(xué)進展;2009年04期

10 聶鵬坤;楊華;趙曉峰;李軍;王光安;王舒;;中風(fēng)患者Fugl-Meyer運動功能量表評價一致性檢驗[J];遼寧中醫(yī)雜志;2009年11期

相關(guān)碩士學(xué)位論文 前2條

1 王源;外骨骼上肢機器人運動康復(fù)虛擬現(xiàn)實訓(xùn)練與評價研究[D];上海交通大學(xué);2013年

2 張洪震;上肢康復(fù)機器人主動康復(fù)的虛擬現(xiàn)實訓(xùn)練系統(tǒng)研究[D];河北工業(yè)大學(xué);2013年

，

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