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Electronic External Control of the Neuromuscular System

Electronic External Control of the Neuromuscular System
神经肌肉系统的电子外部控制
批准号:
06452444
负责人:
HOSHIMIYA Nozomu
金额:
$4.8万
依托单位:
依托单位国家:
日本
项目类别:
Grant-in-Aid for Scientific Research (B)
财政年份:
1994
资助国家:
日本
项目状态:
已结题
起止时间:
1994 至 1996

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中文摘要
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英文摘要
(1)Models of the neuromuscular and the skeletal systems were developed based on results of analyzing responses of the neuromuscular system during electrical stimulation. Then, a basic simulation system of FES-induced motions for the paraplegics was developed. A stimulation pattern for standing up was made up automatically on the simulation system using the dynamic optimization.(2)It was verified that linear interpolation of EMG patterns and artificial neural network could be used for stimulation pattern generation. In addition, a system that patients could modify stimulation patterns without medical knowledge was developed and its capabilities were verified in experiments of controlling normal subjects' wrist angles.(3)The error detecting and correcting circuit (ECC) based on the Hamming coding was applied to an experimental implantable FES system for rejecting influence of external electromagnetic noise. Improvement of the reliability of transmitted stimulation data by using the ECC was verified on the preliminary implantable FES system.(4)It was suggested that the following two methods were useful in FES control for preventing the incontinence : 1) 180 degrees shift of the phase between stimulus pulses applying to the left and right pudendal nerves for high urethral closing force in short time. 2) stimulation to one of the pudendal nerves alternately for long time low closing force of the urethra.(5)Waveforms of nerve action potentials elicited by external mechanical stimulation were analyzed for extracting information for feed back control in FES application. Cluster analysis was found to be useful for estimating the stimulation that elicited the nerve signals.(6)Methods of getting control commands for FES system, which were based on the posterior auricular muscle, the tongue movement, and head movement identification by artificial neural network e.g. nodding, were confirmed to have fundamental feasibility of using in clinical application.
期刊论文(172)
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会议论文
古瀬則夫、他: "ニューラルネットによるうなずき動作の認識と重度麻痺者用福祉機器の制御命令としての可能性" 第17回バイオメカニズム学術講演会予稿集. 227-230 (1996)
Norio Furuse 等人:“使用神经网络识别点头运动及其作为严重瘫痪患者辅助设备控制命令的潜力”第 17 届生物力学学术会议论文集 227-230 (1996)。
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N.Yamashita et al.: "Application of Patellar Ligament Tension for Knee Joint Control during FES Standing (in Japanese)" Japanese Journal of Medical Electronics and Biological Engineering. Vol.32, No.3. 40-46 (1994)
N.Yamashita 等人:“FES 站立期间髌韧带张力在膝关节控制中的应用(日语)”日本医学电子和生物工程杂志。
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153
    Study on sensing of plural measurement of biosignals for the control of neuro-muscular control
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      17300158
    • 项目类别:
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    • 资助金额:
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    • 财政年份:
      2005
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    • 依托单位:
    Measurement and analysis of biosignals for FES control of paralyzed patient
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      13450167
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    Detection and classification of neural information from peripheral nerves
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    • 项目类别:
      Grant-in-Aid for Scientific Research (B).
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      1998
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    • 依托单位:
    Research and Development of Simulation System for Restoring Motor Functions of Paralyzed Extremities by FES
    • 批准号:
      10558128
    • 项目类别:
      Grant-in-Aid for Scientific Research (B).
    • 资助金额:
      $6.59万
    • 财政年份:
      1998
    • 负责人:
      HOSHIMIYA Nozomu
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    国内基金
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      52300188
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