基于虛擬駕駛體驗的康復(fù)訓(xùn)練與評估系統(tǒng)
本文選題:康復(fù)訓(xùn)練 + 虛擬駕駛 ; 參考:《廣東工業(yè)大學(xué)》2017年碩士論文
【摘要】:近年來,由于社會老齡化加劇,因腦卒中偏癱帶來肢體功能障礙的患者數(shù)量不斷增加,這不僅增加了社會的負(fù)擔(dān),而且影響了患者的正常生活。使用機器人進行康復(fù)訓(xùn)練,能滿足患者康復(fù)訓(xùn)練的基本要求,減少醫(yī)生的工作量,但訓(xùn)練過程枯燥乏味。由于虛擬現(xiàn)實技術(shù)具有多感知、沉浸感和交互性等優(yōu)點,因而將虛擬現(xiàn)實技術(shù)應(yīng)用到康復(fù)訓(xùn)練中,能夠使訓(xùn)練更加有趣,增加患者康復(fù)治療的主動性。本課題針對項目組自行研發(fā)設(shè)計的上肢康復(fù)訓(xùn)練平臺設(shè)計了基于虛擬駕駛體驗的康復(fù)訓(xùn)練與評估系統(tǒng),主要有如下幾方面的工作:(1)設(shè)計以訓(xùn)練動作為導(dǎo)向的虛擬環(huán)境針對腦卒中患者的肢體運動功能障礙問題,設(shè)計基于虛擬駕駛體驗的多個訓(xùn)練任務(wù)。根據(jù)康復(fù)訓(xùn)練的需求,設(shè)計多模式的虛擬環(huán)境訓(xùn)練任務(wù)。為了更大地適應(yīng)患者的訓(xùn)練需求,研究一種動態(tài)配置以動作為導(dǎo)向的虛擬金幣的方法。(2)研究康復(fù)訓(xùn)練的數(shù)據(jù)采集與處理康復(fù)訓(xùn)練數(shù)據(jù)采集是康復(fù)訓(xùn)練中的重要內(nèi)容,是康復(fù)評估的基礎(chǔ)。針對康復(fù)訓(xùn)練數(shù)據(jù)采集的需求,對訓(xùn)練裝置的運動性能進行分析,確定康復(fù)訓(xùn)練中需要采集的數(shù)據(jù)種類,對數(shù)據(jù)采集的方案進行設(shè)計。研究角度數(shù)據(jù)的采集方案及具體實現(xiàn),并對數(shù)據(jù)進行處理。最后研究虛擬場景中碰撞信息的采集方法,分析拾取金幣過程中的碰撞檢測,最后在Unity3D虛擬環(huán)境中實現(xiàn)碰撞檢測。角度數(shù)據(jù)、虛擬交通工具的運動軌跡及金幣的碰撞信息可以作為后續(xù)的康復(fù)評估的數(shù)據(jù)來源。(3)研究康復(fù)訓(xùn)練效果的評價模型對患者康復(fù)效果進行評價是康復(fù)訓(xùn)練過程中的一個重要環(huán)節(jié)。根據(jù)康復(fù)醫(yī)學(xué)理論,構(gòu)建康復(fù)訓(xùn)練的評價指標(biāo)體系。利用層次分析法確定康復(fù)訓(xùn)練的評估模型。在執(zhí)行虛擬訓(xùn)練任務(wù)的過程中,將訓(xùn)練機構(gòu)采集到的訓(xùn)練數(shù)據(jù)進行分析計算,得出該評價體系中的各指標(biāo)值,利用評估模型綜合各個評價指標(biāo)對患者的訓(xùn)練效果進行綜合評估,評估的結(jié)果作為制定下一步康復(fù)計劃的依據(jù)。
[Abstract]:In recent years, due to the aggravation of social aging, the number of patients with limb dysfunction caused by stroke hemiplegia is increasing, which not only increases the burden of society, but also affects the normal life of patients.Robot rehabilitation training can meet the basic requirements of patients' rehabilitation training, reduce the workload of doctors, but the training process is boring.Because virtual reality technology has the advantages of multi-perception, immersion and interaction, the application of virtual reality technology to rehabilitation training can make the training more interesting and increase the initiative of rehabilitation treatment of patients.A rehabilitation training and evaluation system based on virtual driving experience is designed for the upper limb rehabilitation training platform developed by the project team.The main work is as follows: 1) designing a virtual environment based on training action to solve the problem of limb motor dysfunction in stroke patients and designing several training tasks based on virtual driving experience.According to the needs of rehabilitation training, a multi-mode virtual environment training task is designed.In order to better meet the training needs of patients, a method of dynamic configuration of virtual gold coins based on movement is studied. The research on data acquisition and processing of rehabilitation training is an important part of rehabilitation training.It is the basis of rehabilitation evaluation.According to the demand of data acquisition in rehabilitation training, this paper analyzes the movement performance of the training device, determines the types of data to be collected in rehabilitation training, and designs the scheme of data acquisition.Research angle data collection scheme and specific implementation, and data processing.Finally, the method of collecting collision information in virtual scene is studied, and the collision detection in the process of picking up gold coins is analyzed. Finally, collision detection is realized in Unity3D virtual environment.Angle data,The motion track of virtual vehicle and the collision information of gold coins can be used as the data source of the subsequent rehabilitation evaluation. The research on the evaluation model of rehabilitation training effect is an important link in the process of rehabilitation training.According to the theory of rehabilitation medicine, the evaluation index system of rehabilitation training is constructed.The evaluation model of rehabilitation training was determined by analytic hierarchy process (AHP).In the course of carrying out the virtual training task, the training data collected by the training institution are analyzed and calculated, the index values in the evaluation system are obtained, and the evaluation model is used to synthesize each evaluation index to comprehensively evaluate the training effect of the patients.The results of the evaluation serve as a basis for formulating a rehabilitation plan for the next step.
【學(xué)位授予單位】:廣東工業(yè)大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2017
【分類號】:R496;TP391.9
【參考文獻】
相關(guān)期刊論文 前10條
1 許偉豪;胡兆勇;何漢武;王俊華;;基于個性化治療方案的康復(fù)訓(xùn)練虛擬環(huán)境設(shè)計[J];中國高新技術(shù)企業(yè);2017年08期
2 李晉;謝曉添;姬慶慶;韓子鶴;聞文;馬碩;;基于虛擬現(xiàn)實技術(shù)的手功能康復(fù)訓(xùn)練系統(tǒng)設(shè)計與實現(xiàn)[J];電腦與信息技術(shù);2017年01期
3 孫勁光;吳素紅;周積林;;基于形狀分類的包圍盒碰撞檢測優(yōu)化算法[J];計算機應(yīng)用與軟件;2016年02期
4 胡超;葛云;陳穎;;人體關(guān)節(jié)活動度測量系統(tǒng)[J];中國醫(yī)學(xué)物理學(xué)雜志;2016年01期
5 曹福成;邢笑雪;李元春;趙希祿;;下肢康復(fù)機器人軌跡自適應(yīng)滑模阻抗控制[J];吉林大學(xué)學(xué)報(工學(xué)版);2016年05期
6 姜榮榮;陳艷;潘翠環(huán);;腦卒中后上肢和手運動功能康復(fù)評定的研究進展[J];中國康復(fù)理論與實踐;2015年10期
7 周陽;周美嬌;黃波;劉金利;;基于C#的串口通信系統(tǒng)的研究與設(shè)計[J];電子測量技術(shù);2015年07期
8 蔣萍花;張楠;;數(shù)據(jù)采集系統(tǒng)串口通信的設(shè)計與實現(xiàn)[J];電子測量技術(shù);2015年06期
9 萬學(xué)文;趙樹華;薛鈞來;劉明暉;曲慶陽;趙赫;;早期針刺結(jié)合現(xiàn)代康復(fù)治療急性腦卒中患者肢體偏癱的療效[J];中國老年學(xué)雜志;2013年09期
10 李周;周虹;孫瑩;郭靖;陳大勇;;綜合康復(fù)評估及訓(xùn)練系統(tǒng)在腦卒中患者上肢及手的運動控制訓(xùn)練中的應(yīng)用[J];中國康復(fù)醫(yī)學(xué)雜志;2013年07期
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