【摘要】：當前,世界范圍內中風已經(jīng)與冠心病、癌癥一起被列為威脅人類健康的三大疾病之一,國內患中風的人數(shù)逐年提升。受家庭經(jīng)濟承擔能力的限制,大多數(shù)中風病人在醫(yī)院進行初步的康復治療之后就回到家中進行下一步的康復進程。一般中風病人在離開醫(yī)院6至9個月就停止了康復治療,但是他們的運動功能要用幾年時間才能恢復。因此,進行有效和低成本的家庭遠程康復就變得十分重要。本文根據(jù)現(xiàn)有遠程康復訓練系統(tǒng)存在的中風病人與醫(yī)生缺乏有效交互、康復訓練枯燥無趣使病人無法堅持康復訓練和無法準確評定康復效果等問題,設計了新型的中風病人康復訓練系統(tǒng)。 系統(tǒng)使用可穿戴加速度傳感器設備采集康復訓練數(shù)據(jù),通過ZIGBEE模塊將數(shù)據(jù)發(fā)送到計算機。系統(tǒng)提供了上肢康復動作三維重建模塊,可以幫助醫(yī)生克服地域和工作時間的限制,及時準確了解中風病人當前的康復進展情況和動作完成的準確度。系統(tǒng)建立了利用BP神經(jīng)網(wǎng)絡評定上肢動作強度模型,以期客觀地評定中風病人當前的上肢康復動作強度,此強度參數(shù)可以對當前訓練進程進行科學評估。為增加使用本系統(tǒng)的娛樂性,本系統(tǒng)設計了上肢康復游戲模塊,中風病人可以在相對輕松的環(huán)境下完成與標準上肢康復訓練動作相類似的訓練動作。 通過本系統(tǒng)提供的基于Web的康復數(shù)據(jù)管理模塊,對中風病人康復過程中產(chǎn)生的康復數(shù)據(jù)進行有效管理,從而為醫(yī)生制定中風病人下一階段的康復計劃提供依據(jù)。
[Abstract]:At present, stroke and coronary heart disease (CHD) and cancer have been listed as one of the three major diseases threatening human health, and the number of strokes in China has been increasing year by year. Limited by the family's financial capacity, most stroke patients return home for the next step after initial rehabilitation in the hospital. Stroke patients usually stop rehabilitation after six to nine months out of the hospital, but it takes years for their motor function to recover. Therefore, effective and low-cost home long-range rehabilitation becomes very important. According to the problems existing in the existing remote rehabilitation training system, such as the lack of effective interaction between stroke patients and doctors, the boring rehabilitation training, the inability of patients to insist on rehabilitation training and the inability to accurately evaluate the effects of rehabilitation, etc. A new rehabilitation training system for stroke patients was designed. The system uses wearable acceleration sensor equipment to collect rehabilitation training data and sends the data to computer through ZIGBEE module. The system provides a 3D reconstruction module of upper limb rehabilitation action, which can help doctors overcome the limitation of region and working time, and accurately understand the current rehabilitation progress of stroke patients and the accuracy of movement completion. A model of upper limb movement intensity assessment using BP neural network was established in order to objectively evaluate the current upper limb rehabilitation action intensity of stroke patients. This strength parameter can be used to evaluate the current training process scientifically. In order to increase the entertainment of using this system, this system designed the upper limb rehabilitation game module, the stroke patient can complete the training movement similar to the standard upper limb rehabilitation training movement in the relatively relaxed environment. The rehabilitation data management module based on Web provided by this system can effectively manage the rehabilitation data generated during the rehabilitation of stroke patients, so as to provide the basis for doctors to formulate rehabilitation plans for stroke patients in the next stage.
【學位授予單位】：青島大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：TP311.52;R743.3

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