穿戴式肌電采集設(shè)備的研究與應(yīng)用
發(fā)布時(shí)間：2019-01-30 16:03
【摘要】：近年來,基于生物電信號(hào)的人機(jī)交互技術(shù)是人機(jī)交互的研究前沿和熱點(diǎn)之一。表面肌電信號(hào)記錄了肌肉在自主收縮時(shí)由肌纖維產(chǎn)生的電信號(hào)。它作為生物／機(jī)械人機(jī)接口的一種重要輸入信號(hào),因其采集方便、對(duì)身體無創(chuàng)傷的優(yōu)點(diǎn),得到了廣泛重視。但是常規(guī)肌電采集設(shè)備具有體積笨重、價(jià)格較高、不便攜帶的局限性。本論文將基于穿戴式設(shè)備的上肢表面肌電采集與人機(jī)交互技術(shù)結(jié)合起來,設(shè)計(jì)出一款可穿戴肌電采集系統(tǒng),從而使基于表面肌電的人機(jī)接口技術(shù)進(jìn)入家庭成為可能。本論文主要內(nèi)容包括以下兩個(gè)方面：1.穿戴式肌電采集設(shè)備硬件設(shè)計(jì)本論文首先對(duì)表面肌電采集電路各功能單元進(jìn)行設(shè)計(jì)和驗(yàn)證,在此基礎(chǔ)對(duì)各電路模塊的功能進(jìn)行了細(xì)致分析,提出了常規(guī)表面肌電采集方式的不足。隨后,對(duì)常用肌電采集電路濾波器的設(shè)計(jì)進(jìn)行了優(yōu)化,研究對(duì)比了模擬濾波和數(shù)字濾波在表面肌電采集中的功能。通過對(duì)模擬濾波、放大、數(shù)字濾波、藍(lán)牙技術(shù)、FPC基板、低功耗小封裝器件的巧妙運(yùn)用設(shè)計(jì)了基于NRF51822藍(lán)牙4.0和FPC穿戴式雙通道肌電采集下位機(jī)設(shè)備。2.基于上肢表面肌電信號(hào)手勢(shì)識(shí)別算法的設(shè)計(jì)利用SVM對(duì)傳輸?shù)絇C端的不同手勢(shì)的上肢表面肌電信號(hào)進(jìn)行離線分析,包含了預(yù)處理、特征值的提取、歸一化和SVM核函數(shù)的選擇等。在離線分析獲得滿意的分類結(jié)果后,將訓(xùn)練所得模板載入基于SVM分類器的在線控制系統(tǒng),控制受試設(shè)備按照上肢運(yùn)動(dòng)產(chǎn)生的表面肌電信號(hào)完成任務(wù)。其準(zhǔn)確率超過90%。在上述研究工作的基礎(chǔ)上,本設(shè)計(jì)完成的穿戴式肌電采集設(shè)備集電極、電極導(dǎo)聯(lián)線和表面肌電采集電路于一體,設(shè)備小巧、功耗較低、方便使用。本文最后驗(yàn)證了基于表面肌電信號(hào)的穿戴式設(shè)備在人機(jī)交互領(lǐng)域應(yīng)用的可行性。
[Abstract]:In recent years, the technology of human-computer interaction based on bioelectric signal is one of the research frontiers and hot spots in human-computer interaction. Surface EMG signals record electrical signals generated by muscle fibers when they contract autonomously. As an important input signal of biological / mechanical man-machine interface, it has been paid more and more attention because of its convenient acquisition and non-invasive advantages. But the conventional EMG acquisition equipment has the limitation of bulky, high price and inconvenient to carry. In this paper, a wearable EMG acquisition system based on wearable device is designed by combining the EMG acquisition technology of the upper limb with human-computer interaction technology, which makes it possible for the interface technology based on SEMG to enter the home. The main contents of this paper include the following two aspects: 1. Hardware Design of wearable Electromyography acquisition device this paper first designs and verifies the functional units of the surface electromyography acquisition circuit. On this basis, the functions of each circuit module are analyzed in detail. The deficiency of conventional surface electromyography acquisition method is put forward. Then, the design of common EMG acquisition circuit filter is optimized, and the functions of analog filter and digital filter in surface EMG acquisition are studied and compared. By using analog filtering, amplifying, digital filtering, Bluetooth technology, FPC substrate and low-power small package device, the device based on NRF51822 Bluetooth 4.0 and FPC wearable dual-channel electromyography acquisition is designed. 2. Based on the design of upper limb EMG signal gesture recognition algorithm, SVM is used to analyze the upper limb surface EMG signal transmitted to PC, which includes pretreatment, extraction of eigenvalue, normalization and selection of SVM kernel function. After off-line analysis, the training template is loaded into the on-line control system based on SVM classifier to control the equipment to complete the task according to the surface EMG signal generated by the upper limb movement. The accuracy is more than 90. On the basis of the above research work, the wearable electromyoelectric collecting device is designed, which integrates the electrode, the electrode lead wire and the surface electromyography acquisition circuit. The device is compact, low power consumption and easy to use. Finally, the feasibility of the wearable device based on surface EMG signal in the field of human-computer interaction is verified.
【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】：2016
【分類號(hào)】：R318;TN911.7
本文編號(hào)：2418291
[Abstract]:In recent years, the technology of human-computer interaction based on bioelectric signal is one of the research frontiers and hot spots in human-computer interaction. Surface EMG signals record electrical signals generated by muscle fibers when they contract autonomously. As an important input signal of biological / mechanical man-machine interface, it has been paid more and more attention because of its convenient acquisition and non-invasive advantages. But the conventional EMG acquisition equipment has the limitation of bulky, high price and inconvenient to carry. In this paper, a wearable EMG acquisition system based on wearable device is designed by combining the EMG acquisition technology of the upper limb with human-computer interaction technology, which makes it possible for the interface technology based on SEMG to enter the home. The main contents of this paper include the following two aspects: 1. Hardware Design of wearable Electromyography acquisition device this paper first designs and verifies the functional units of the surface electromyography acquisition circuit. On this basis, the functions of each circuit module are analyzed in detail. The deficiency of conventional surface electromyography acquisition method is put forward. Then, the design of common EMG acquisition circuit filter is optimized, and the functions of analog filter and digital filter in surface EMG acquisition are studied and compared. By using analog filtering, amplifying, digital filtering, Bluetooth technology, FPC substrate and low-power small package device, the device based on NRF51822 Bluetooth 4.0 and FPC wearable dual-channel electromyography acquisition is designed. 2. Based on the design of upper limb EMG signal gesture recognition algorithm, SVM is used to analyze the upper limb surface EMG signal transmitted to PC, which includes pretreatment, extraction of eigenvalue, normalization and selection of SVM kernel function. After off-line analysis, the training template is loaded into the on-line control system based on SVM classifier to control the equipment to complete the task according to the surface EMG signal generated by the upper limb movement. The accuracy is more than 90. On the basis of the above research work, the wearable electromyoelectric collecting device is designed, which integrates the electrode, the electrode lead wire and the surface electromyography acquisition circuit. The device is compact, low power consumption and easy to use. Finally, the feasibility of the wearable device based on surface EMG signal in the field of human-computer interaction is verified.
【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】：2016
【分類號(hào)】：R318;TN911.7
【相似文獻(xiàn)】
相關(guān)重要報(bào)紙文章 前5條
1 記者 孫洪濱 通訊員 王治泰;勝利油田在渝施工單位損失百萬(wàn)[N];東營(yíng)日?qǐng)?bào);2010年
2 特約記者 林勇;勝利400系列采集設(shè)備連接口打破國(guó)外壟斷[N];東營(yíng)日?qǐng)?bào);2010年
3 龍露;北京公布建設(shè)創(chuàng)新型城市時(shí)間表[N];民營(yíng)經(jīng)濟(jì)報(bào);2006年
4 記者 潘志林 通訊員 高新濤;2254隊(duì)因地制宜攻難關(guān)[N];中國(guó)石油報(bào);2003年
5 記者 謝佳、通訊員 章柏良;兩億經(jīng)費(fèi)確保工作到位[N];人民公安報(bào);2005年
相關(guān)碩士學(xué)位論文 前6條
1 袁術(shù);基于物聯(lián)網(wǎng)的健康促進(jìn)產(chǎn)品的研發(fā)[D];電子科技大學(xué);2014年
2 朱丹;基于便攜式腦電采集設(shè)備的機(jī)械臂控制系統(tǒng)[D];南京郵電大學(xué);2015年
3 張春;穿戴式肌電采集設(shè)備的研究與應(yīng)用[D];東南大學(xué);2016年
4 彭帥軍;基于微信公眾平臺(tái)的老人智能體溫計(jì)系統(tǒng)設(shè)計(jì)[D];西安電子科技大學(xué);2015年
5 鄭麗萍;計(jì)量及采集設(shè)備抗干擾測(cè)試技術(shù)的研究[D];華北電力大學(xué);2014年
6 張春亮;基于PLC的試卷信息采集設(shè)備控制系統(tǒng)設(shè)計(jì)及研究[D];河北工業(yè)大學(xué);2014年
，本文編號(hào)：2418291
本文鏈接：http://sikaile.net/kejilunwen/xinxigongchenglunwen/2418291.html
最近更新
教材專著
