Multimodal injectable sensors for neural prosthetic proprioception

W. Tan, N. Sachs, Ruo Guo, Q. Zou, J. Singh, G. Loeb
{"title":"Multimodal injectable sensors for neural prosthetic proprioception","authors":"W. Tan, N. Sachs, Ruo Guo, Q. Zou, J. Singh, G. Loeb","doi":"10.1109/ICNIC.2005.1499870","DOIUrl":null,"url":null,"abstract":"A BION/sup TM/ is a miniature implant developed for Functional Electric Stimulation (FES). This paper describes a new posture sensing system designed for these implants. The new system contains three sensing modalities: 1) artificial muscle spindles; 2) a DC accelerometer; and 3) a magnetic reference frame. Because of limiting factors such as sensor size and power consumption, each sensing modality used alone provides inaccurate or incomplete information on the posture. However, signals from the individual sensors can be integrated for more accurate and complete results. First, signals from each sensor are processed separately to extract basic information. Then sensor fusion algorithms (including extended Kalman filtering) combine all the sensor signals and generate 6-D posture data. Finally the data can be used in real-time to provide command and feedback signals for the FES controller.","PeriodicalId":169717,"journal":{"name":"Proceedings. 2005 First International Conference on Neural Interface and Control, 2005.","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings. 2005 First International Conference on Neural Interface and Control, 2005.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICNIC.2005.1499870","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

A BION/sup TM/ is a miniature implant developed for Functional Electric Stimulation (FES). This paper describes a new posture sensing system designed for these implants. The new system contains three sensing modalities: 1) artificial muscle spindles; 2) a DC accelerometer; and 3) a magnetic reference frame. Because of limiting factors such as sensor size and power consumption, each sensing modality used alone provides inaccurate or incomplete information on the posture. However, signals from the individual sensors can be integrated for more accurate and complete results. First, signals from each sensor are processed separately to extract basic information. Then sensor fusion algorithms (including extended Kalman filtering) combine all the sensor signals and generate 6-D posture data. Finally the data can be used in real-time to provide command and feedback signals for the FES controller.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
神经本体假体多模态可注射传感器
BION/sup TM/是一种用于功能性电刺激(FES)的微型植入物。本文介绍了一种新的为这些植入体设计的姿态传感系统。新系统包含三种传感模式:1)人工肌肉纺锤;2)直流加速度计;3)磁参照系。由于传感器尺寸和功耗等限制因素,单独使用的每种传感模式都提供了不准确或不完整的姿势信息。然而,来自各个传感器的信号可以集成在一起,以获得更准确和完整的结果。首先,对每个传感器的信号分别进行处理,提取基本信息;然后,传感器融合算法(包括扩展卡尔曼滤波)将所有传感器信号合并,生成6维姿态数据。最后,这些数据可以实时地为FES控制器提供指令和反馈信号。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Clinical applications of BION/sup TM/ microstimulators Development of ultra small two-channel system of EEG radio telemetry Experiment research on the method of monitoring the depth of anesthesia Controlling epileptic seizures EEG with a dynamic neural population model Wavelet transform analyzing and real-time learning method for myoelectric signal in motion discrimination
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1