• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

相似文献

1
The optimal controller delay for myoelectric prostheses.肌电假肢的最佳控制器延迟
IEEE Trans Neural Syst Rehabil Eng. 2007 Mar;15(1):111-8. doi: 10.1109/TNSRE.2007.891391.
2
Determining the optimal window length for pattern recognition-based myoelectric control: balancing the competing effects of classification error and controller delay.确定基于模式识别的肌电控制的最佳窗口长度:平衡分类错误和控制器延迟的竞争影响。
IEEE Trans Neural Syst Rehabil Eng. 2011 Apr;19(2):186-92. doi: 10.1109/TNSRE.2010.2100828. Epub 2010 Dec 30.
3
Joint angle control by FES using a feedback error learning controller.使用反馈误差学习控制器通过功能性电刺激进行关节角度控制。
IEEE Trans Neural Syst Rehabil Eng. 2005 Sep;13(3):359-71. doi: 10.1109/TNSRE.2005.847355.
4
Implementation of a physiologically identified PD feedback controller for regulating the active ankle torque during quiet stance.一种用于在安静站立期间调节主动踝关节扭矩的生理识别比例-微分(PD)反馈控制器的实现。
IEEE Trans Neural Syst Rehabil Eng. 2007 Jun;15(2):235-43. doi: 10.1109/TNSRE.2007.897016.
5
Functional Assessment of a Myoelectric Postural Controller and Multi-Functional Prosthetic Hand by Persons With Trans-Radial Limb Loss.经桡骨截肢者对肌电姿势控制器和多功能假手的功能评估
IEEE Trans Neural Syst Rehabil Eng. 2017 Jun;25(6):618-627. doi: 10.1109/TNSRE.2016.2586846. Epub 2016 Jun 30.
6
Improving internal model strength and performance of prosthetic hands using augmented feedback.利用增强反馈提高假肢手的内部模型强度和性能。
J Neuroeng Rehabil. 2018 Jul 31;15(1):70. doi: 10.1186/s12984-018-0417-4.
7
Compliant grasp in a myoelectric hand prosthesis. Controlling flexion angle and compliance with electromyogram signals.
IEEE Eng Med Biol Mag. 2005 Jul-Aug;24(4):48-56. doi: 10.1109/memb.2005.1463396.
8
[Expanding control possibilities of myoelectric hand prostheses].[扩展肌电手假肢的控制可能性]
Biomed Tech (Berl). 2002;47 Suppl 1 Pt 2:868-70. doi: 10.1515/bmte.2002.47.s1b.868.
9
Control strategy for a myoelectric hand: measuring acceptable time delay in human intention discrimination.
Annu Int Conf IEEE Eng Med Biol Soc. 2009;2009:5044-7. doi: 10.1109/IEMBS.2009.5333667.
10
Locomotor Adaptation by Transtibial Amputees Walking With an Experimental Powered Prosthesis Under Continuous Myoelectric Control.经皮神经电刺激对膝上截肢者健侧下肢运动想象脑-机接口控制的影响
IEEE Trans Neural Syst Rehabil Eng. 2016 May;24(5):573-81. doi: 10.1109/TNSRE.2015.2441061. Epub 2015 Jun 4.

引用本文的文献

1
Synergistic Torso-Muscle-Controlled Detached Robotic Hand: A Novel Approach for Post-Stroke Hand Rehabilitation.协同躯干肌肉控制的分离式机器人手:一种中风后手康复的新方法。
medRxiv. 2025 May 8:2025.05.02.25326083. doi: 10.1101/2025.05.02.25326083.
2
Real-time adaptive cancellation of TENS feedback artifact on sEMG for prosthesis closed-loop control.用于假肢闭环控制的表面肌电图上经皮电刺激反馈伪迹的实时自适应消除
Front Bioeng Biotechnol. 2024 Nov 21;12:1492588. doi: 10.3389/fbioe.2024.1492588. eCollection 2024.
3
Unsupervised Domain Adaptation for Inter-Session Re-Calibration of Ultrasound-Based HMIs.基于超声的 HMIs 跨会话再校准的无监督域自适应。
Sensors (Basel). 2024 Aug 4;24(15):5043. doi: 10.3390/s24155043.
4
SonoMyoNet: A Convolutional Neural Network for Predicting Isometric Force from Highly Sparse Ultrasound Images.SonoMyoNet:一种用于从高度稀疏超声图像预测等长肌力的卷积神经网络。
IEEE Trans Hum Mach Syst. 2024 Jun;54(3):317-324. doi: 10.1109/thms.2024.3389690. Epub 2024 May 13.
5
A multifaceted suite of metrics for comparative myoelectric prosthesis controller research.用于比较肌电假体控制器研究的多方面指标套件。
PLoS One. 2024 May 13;19(5):e0291279. doi: 10.1371/journal.pone.0291279. eCollection 2024.
6
Time series classification of multi-channel nerve cuff recordings using deep learning.使用深度学习对多通道神经袖套记录进行时间序列分类。
PLoS One. 2024 Mar 12;19(3):e0299271. doi: 10.1371/journal.pone.0299271. eCollection 2024.
7
The Impact of Feature Extraction on Classification Accuracy Examined by Employing a Signal Transformer to Classify Hand Gestures Using Surface Electromyography Signals.运用信号转换器对手表肌电信号进行手势分类,考察特征提取对分类精度的影响。
Sensors (Basel). 2024 Feb 16;24(4):1259. doi: 10.3390/s24041259.
8
Combining Surgical Innovations in Amputation Surgery-Robotic Harvest of the Rectus Abdominis Muscle, Transplantation and Targeted Muscle Reinnervation Improves Myocontrol Capability and Pain in a Transradial Amputee.在截肢手术中结合手术创新——通过机器人获取腹直肌、移植和靶向肌肉神经再支配来提高桡动脉截肢者的肌控制能力和减轻疼痛。
Medicina (Kaunas). 2023 Dec 7;59(12):2134. doi: 10.3390/medicina59122134.
9
Instance-based learning with prototype reduction for real-time proportional myocontrol: a randomized user study demonstrating accuracy-preserving data reduction for prosthetic embedded systems.基于实例的学习与原型缩减的实时比例肌电控制:一项随机用户研究,展示了用于假肢嵌入式系统的在保持准确性的同时进行数据缩减。
Med Biol Eng Comput. 2024 Jan;62(1):275-305. doi: 10.1007/s11517-023-02917-9. Epub 2023 Oct 5.
10
Recent trends and challenges of surface electromyography in prosthetic applications.表面肌电图在假肢应用中的最新趋势与挑战
Biomed Eng Lett. 2023 Apr 22;13(3):353-373. doi: 10.1007/s13534-023-00281-z. eCollection 2023 Aug.

本文引用的文献

1
The effects of delayed and displaced visual feedback on motor control.延迟和移位视觉反馈对运动控制的影响。
J Mot Behav. 1980 Jun;12(2):91-101. doi: 10.1080/00222895.1980.10735209.
2
Chronic stroke motor recovery: duration of active neuromuscular stimulation.慢性中风运动恢复:主动神经肌肉刺激的持续时间
J Neurol Sci. 2003 Nov 15;215(1-2):13-9. doi: 10.1016/s0022-510x(03)00169-2.
3
A robust, real-time control scheme for multifunction myoelectric control.一种用于多功能肌电控制的强大实时控制方案。
IEEE Trans Biomed Eng. 2003 Jul;50(7):848-54. doi: 10.1109/TBME.2003.813539.
4
Analysis of fMRI and finger tracking training in subjects with chronic stroke.慢性中风患者的功能磁共振成像与手指追踪训练分析。
Brain. 2002 Apr;125(Pt 4):773-88. doi: 10.1093/brain/awf091.
5
A wavelet-based continuous classification scheme for multifunction myoelectric control.一种基于小波的多功能肌电控制连续分类方案。
IEEE Trans Biomed Eng. 2001 Mar;48(3):302-11. doi: 10.1109/10.914793.
6
Chronic motor dysfunction after stroke: recovering wrist and finger extension by electromyography-triggered neuromuscular stimulation.中风后的慢性运动功能障碍:通过肌电图触发的神经肌肉刺激恢复手腕和手指伸展功能
Stroke. 2000 Jun;31(6):1360-4. doi: 10.1161/01.str.31.6.1360.
7
Adaptive filtering of the electromyographic signal for prosthetic control and force estimation.用于假肢控制和力估计的肌电信号自适应滤波
IEEE Trans Biomed Eng. 1995 Oct;42(10):1048-52. doi: 10.1109/10.464381.
8
Validation of the Box and Block Test as a measure of dexterity of elderly people: reliability, validity, and norms studies.箱块测试作为老年人灵活性测量方法的验证:可靠性、有效性和常模研究。
Arch Phys Med Rehabil. 1994 Jul;75(7):751-5.
9
Low-dose (7.5 mg) oral methotrexate reduces the rate of progression in chronic progressive multiple sclerosis.低剂量(7.5毫克)口服甲氨蝶呤可降低慢性进展性多发性硬化症的进展速度。
Ann Neurol. 1995 Jan;37(1):30-40. doi: 10.1002/ana.410370108.
10
Error rate in five-state myoelectric control systems.
Med Biol Eng Comput. 1980 May;18(3):287-90. doi: 10.1007/BF02443381.

肌电假肢的最佳控制器延迟

The optimal controller delay for myoelectric prostheses.

作者信息

Farrell Todd R, Weir Richard F

机构信息

Department of Biomedical Engineering, Northwestern University Prosthetics Research Laboratory, Chicago, IL 60611, USA.

出版信息

IEEE Trans Neural Syst Rehabil Eng. 2007 Mar;15(1):111-8. doi: 10.1109/TNSRE.2007.891391.

DOI:10.1109/TNSRE.2007.891391
PMID:17436883
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8173529/
Abstract

A tradeoff exists when considering the delay created by multifunctional prosthesis controllers. Large controller delays maximize the amount of time available for EMG signal collection and analysis (and thus maximize classification accuracy); however, large delays also degrade prosthesis performance by decreasing the responsiveness of the prosthesis. To elucidate an "optimal controller delay" twenty able-bodied subjects performed the Box and Block Test using a device called PHABS (prosthetic hand for able bodied subjects). Tests were conducted with seven different levels of controller delay ranging from nearly 0-300 ms and with two different artificial hand speeds. Based on repeted measures ANOVA analysis and a linear mixed effects model, the optimal controller delay was found to range between approximately 100 ms for fast prehensors and 125 ms for slower prehensors. Furthermore, the linear mixed effects model shows that there is a linear degradation in performance with increasing delay.

摘要

在考虑多功能假肢控制器所产生的延迟时,存在一种权衡。较大的控制器延迟能使肌电信号采集和分析的可用时间最大化(从而使分类准确率最大化);然而,较大的延迟也会因降低假肢的响应能力而降低假肢性能。为了阐明“最佳控制器延迟”,20名身体健全的受试者使用一种名为PHABS(适用于身体健全受试者的假手)的设备进行了箱块测试。测试在七种不同水平的控制器延迟下进行,延迟范围从近0到300毫秒,并采用两种不同的假手速度。基于重复测量方差分析和线性混合效应模型,发现快速抓握器的最佳控制器延迟约为100毫秒,较慢抓握器的最佳控制器延迟约为125毫秒。此外,线性混合效应模型表明,随着延迟增加,性能呈线性下降。