本文關(guān)鍵詞： Edison 運(yùn)動(dòng)功能康復(fù) 肌電橋 自動(dòng)尋點(diǎn) Android交互 神經(jīng)肌肉電刺激　出處：《東南大學(xué)》2017年碩士論文　論文類型：學(xué)位論文

【摘要】：隨著全世界癱瘓病人數(shù)量的持續(xù)增長(zhǎng),康復(fù)醫(yī)學(xué)研究領(lǐng)域的癱瘓病人肢體運(yùn)動(dòng)功能重建逐漸成為研究熱點(diǎn)。目前各類醫(yī)療儀器普遍采用神經(jīng)肌肉電刺激(NMES)方法,在外周神經(jīng)系統(tǒng)上施加電刺激脈沖,使周邊肌肉產(chǎn)生人工動(dòng)作電位,完成預(yù)定的動(dòng)作。與其它生物醫(yī)學(xué)方法相比,功能電刺激(FES)具有使用方便、效果顯著的優(yōu)勢(shì)。本課題組提出了"肌電橋"發(fā)明專利思想,研發(fā)了一種基于通信原理和肌電信號(hào)控制的運(yùn)動(dòng)功能重建系統(tǒng),克服了傳統(tǒng)NMES系統(tǒng)刺激模式單一、癱瘓病人主動(dòng)參與度低等缺點(diǎn)。然而,前期研發(fā)的系統(tǒng)不夠便攜,且缺少手部運(yùn)動(dòng)的反饋功能,沒有相應(yīng)的評(píng)價(jià)機(jī)制。本論文基于課題組前期提出的"肌電橋"系統(tǒng)理論,將肢體運(yùn)動(dòng)功能重建系統(tǒng)移植到Intel公司的Edison嵌入式平臺(tái)上,實(shí)現(xiàn)了可穿戴的效果,提高了系統(tǒng)的便攜性能。同時(shí),系統(tǒng)中增加了數(shù)據(jù)手套模塊,可以檢測(cè)并反饋手部的運(yùn)動(dòng)情況,從而將系統(tǒng)改進(jìn)成閉環(huán)結(jié)構(gòu),豐富了系統(tǒng)功能,優(yōu)化了用戶體驗(yàn)。本文將穿戴式上肢運(yùn)動(dòng)功能康復(fù)系統(tǒng)劃分為三個(gè)子系統(tǒng)進(jìn)行詳細(xì)闡述:"肌電橋"子系統(tǒng)緊貼"肌電橋"的概念,由肌電探測(cè)模塊和電刺激模塊組成,采用Socket網(wǎng)絡(luò)通信。根據(jù)肌電探測(cè)模塊獲得的實(shí)時(shí)肌電信號(hào),經(jīng)過算法處理和通道映射,驅(qū)動(dòng)電刺激模塊產(chǎn)生幅度、頻率等參數(shù)均可控的電刺激脈沖,實(shí)現(xiàn)實(shí)時(shí)遠(yuǎn)程無線肌電控制電刺激功能。自動(dòng)尋點(diǎn)子系統(tǒng)基于多位點(diǎn)電極(Multi-pad)概念,由多位點(diǎn)電極板、電極驅(qū)動(dòng)模塊、電刺激模塊和數(shù)據(jù)手套組成,模塊間依舊采用Socket進(jìn)行網(wǎng)絡(luò)通信。通過電極驅(qū)動(dòng)模塊控制輪詢選通多位點(diǎn)電極并在電極上輸出電刺激脈沖,接著根據(jù)數(shù)據(jù)手套反饋的手部運(yùn)動(dòng)數(shù)據(jù)進(jìn)行實(shí)時(shí)評(píng)價(jià),最終自動(dòng)找出對(duì)應(yīng)于病人手部各運(yùn)動(dòng)功能的最佳刺激位點(diǎn)。人機(jī)交互子系統(tǒng)基于Android設(shè)備,研發(fā)了一系列APP與各模塊配合實(shí)現(xiàn)人機(jī)交互功能。例如:與肌電探測(cè)模塊配合實(shí)現(xiàn)肌電信號(hào)簡(jiǎn)易示波器的功能;與數(shù)據(jù)手套模塊配合實(shí)現(xiàn)3D模擬手部運(yùn)動(dòng)狀態(tài)的功能;與電刺激模塊配合實(shí)現(xiàn)輸出任意可調(diào)刺激脈沖電流的功能。三個(gè)子系統(tǒng)只是穿戴式上肢運(yùn)動(dòng)功能重建系統(tǒng)的典型應(yīng)用,本系統(tǒng)具有很強(qiáng)的擴(kuò)展性,可以基于各模塊的基礎(chǔ)功能繼續(xù)拓展更多的應(yīng)用方向。此外,Edison平臺(tái)的開放性也有助于系統(tǒng)進(jìn)入互聯(lián)網(wǎng)移動(dòng)醫(yī)療領(lǐng)域,在大數(shù)據(jù)、云計(jì)算的背景下獲得海量康復(fù)數(shù)據(jù),大大加速系統(tǒng)的優(yōu)化創(chuàng)新進(jìn)程。
[Abstract]:As the number of paralyzed patients around the world continues to grow. The reconstruction of limb motor function of paralyzed patients in the field of rehabilitation medicine has gradually become a hot topic. At present, neuromuscular electrical stimulation (NMES) is widely used in all kinds of medical instruments. Electrical stimulation pulse is applied to peripheral nervous system to produce artificial action potential and complete predetermined action. Compared with other biomedical methods, functional electrical stimulation (FESs) is easy to use. This paper puts forward the idea of "myoelectric bridge" invention patent, and develops a motion function reconstruction system based on communication principle and EMG signal control. It overcomes the disadvantages of single stimulation mode of traditional NMES system and low active participation of paralytic patients. However, the system developed in the early stage is not portable enough and lacks the feedback function of hand movement. There is no corresponding evaluation mechanism. Based on the "myoelectric bridge" system theory put forward earlier by the research group, the limb motor function reconstruction system is transplanted to the Edison embedded platform of Intel Company. The wearable effect is realized, and the portable performance of the system is improved. At the same time, the data glove module is added in the system, which can detect and feedback the movement of the hand, thus improving the system into a closed-loop structure. This paper divides the wearable upper limb motor rehabilitation system into three subsystems to elaborate in detail: the "myoelectric bridge" subsystem is close to the concept of "myoelectric bridge". It is composed of electromyography detection module and electrical stimulation module, and uses Socket network to communicate. According to the real-time EMG signal obtained by EMG detection module, it is processed by algorithm and mapped by channel. The amplitude and frequency of the driving electrical stimulation module are controlled. The automatic point finding system is based on the concept of Multi-Pad, which is driven by multi-site electrode board and electrode driving module. The electrical stimulation module and the data glove are composed of the modules, the Socket is still used for network communication between the modules, and the polling-gating multi-site electrode is controlled by the electrode driving module and the electrical stimulation pulse is output on the electrode. Then according to the data glove feedback hand movement data real-time evaluation, finally automatically find out corresponding to the patient's hand movement function of the best stimulation site. Human-computer interaction subsystem based on Android equipment. A series of APP are developed to realize man-machine interaction with each module. For example, the EMG simple oscilloscope is realized with the EMG detection module. Cooperating with data glove module to realize 3D simulation of hand motion state; The three subsystems are only typical applications of wearable upper limb motor function reconstruction system, and this system has strong expansibility. Can continue to expand the application direction based on the basic functions of each module. In addition, the openness of Edison platform will also help the system enter the field of mobile medical treatment on the Internet, in big data. In the background of cloud computing, massive rehabilitation data are obtained, which greatly accelerate the optimization and innovation process of the system.
【學(xué)位授予單位】：東南大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：R496

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本文編號(hào)：1470210