本文選題：康復訓練 + 虛擬駕駛　； 參考：《廣東工業(yè)大學》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擔,而且影響了患者的正常生活。使用機器人進行康復訓練,能滿足患者康復訓練的基本要求,減少醫(yī)生的工作量,但訓練過程枯燥乏味。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)應用到康復訓練中,能夠使訓練更加有趣,增加患者康復治療的主動性。本課題針對項目組自行研發(fā)設計的上肢康復訓練平臺設計了基于虛擬駕駛體驗的康復訓練與評估系統(tǒng),主要有如下幾方面的工作:(1)設計以訓練動作為導向的虛擬環(huán)境針對腦卒中患者的肢體運動功能障礙問題,設計基于虛擬駕駛體驗的多個訓練任務。根據(jù)康復訓練的需求,設計多模式的虛擬環(huán)境訓練任務。為了更大地適應患者的訓練需求,研究一種動態(tài)配置以動作為導向的虛擬金幣的方法。(2)研究康復訓練的數(shù)據(jù)采集與處理康復訓練數(shù)據(jù)采集是康復訓練中的重要內(nèi)容,是康復評估的基礎。針對康復訓練數(shù)據(jù)采集的需求,對訓練裝置的運動性能進行分析,確定康復訓練中需要采集的數(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)的康復評估的數(shù)據(jù)來源。(3)研究康復訓練效果的評價模型對患者康復效果進行評價是康復訓練過程中的一個重要環(huán)節(jié)。根據(jù)康復醫(yī)學理論,構(gòu)建康復訓練的評價指標體系。利用層次分析法確定康復訓練的評估模型。在執(zhí)行虛擬訓練任務的過程中,將訓練機構(gòu)采集到的訓練數(shù)據(jù)進行分析計算,得出該評價體系中的各指標值,利用評估模型綜合各個評價指標對患者的訓練效果進行綜合評估,評估的結(jié)果作為制定下一步康復計劃的依據(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.
【學位授予單位】：廣東工業(yè)大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：R496;TP391.9

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