【摘要】：當(dāng)前,世界范圍內(nèi)中風(fēng)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(nèi)患中風(fēng)的人數(shù)逐年提升。受家庭經(jīng)濟(jì)承擔(dān)能力的限制,大多數(shù)中風(fēng)病人在醫(yī)院進(jìn)行初步的康復(fù)治療之后就回到家中進(jìn)行下一步的康復(fù)進(jìn)程。一般中風(fēng)病人在離開醫(yī)院6至9個(gè)月就停止了康復(fù)治療,但是他們的運(yùn)動(dòng)功能要用幾年時(shí)間才能恢復(fù)。因此,進(jìn)行有效和低成本的家庭遠(yuǎn)程康復(fù)就變得十分重要。本文根據(jù)現(xiàn)有遠(yuǎn)程康復(fù)訓(xùn)練系統(tǒng)存在的中風(fēng)病人與醫(yī)生缺乏有效交互、康復(fù)訓(xùn)練枯燥無趣使病人無法堅(jiān)持康復(fù)訓(xùn)練和無法準(zhǔn)確評定康復(fù)效果等問題,設(shè)計(jì)了新型的中風(fēng)病人康復(fù)訓(xùn)練系統(tǒng)。 系統(tǒng)使用可穿戴加速度傳感器設(shè)備采集康復(fù)訓(xùn)練數(shù)據(jù),通過ZIGBEE模塊將數(shù)據(jù)發(fā)送到計(jì)算機(jī)。系統(tǒng)提供了上肢康復(fù)動(dòng)作三維重建模塊,可以幫助醫(yī)生克服地域和工作時(shí)間的限制,及時(shí)準(zhǔn)確了解中風(fēng)病人當(dāng)前的康復(fù)進(jìn)展情況和動(dòng)作完成的準(zhǔn)確度。系統(tǒng)建立了利用BP神經(jīng)網(wǎng)絡(luò)評定上肢動(dòng)作強(qiáng)度模型,以期客觀地評定中風(fēng)病人當(dāng)前的上肢康復(fù)動(dòng)作強(qiáng)度,此強(qiáng)度參數(shù)可以對當(dāng)前訓(xùn)練進(jìn)程進(jìn)行科學(xué)評估。為增加使用本系統(tǒng)的娛樂性,本系統(tǒng)設(shè)計(jì)了上肢康復(fù)游戲模塊,中風(fēng)病人可以在相對輕松的環(huán)境下完成與標(biāo)準(zhǔn)上肢康復(fù)訓(xùn)練動(dòng)作相類似的訓(xùn)練動(dòng)作。 通過本系統(tǒng)提供的基于Web的康復(fù)數(shù)據(jù)管理模塊,對中風(fēng)病人康復(fù)過程中產(chǎn)生的康復(fù)數(shù)據(jù)進(jìn)行有效管理,從而為醫(yī)生制定中風(fēng)病人下一階段的康復(fù)計(jì)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(xué)位授予單位】：青島大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：TP311.52;R743.3

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