A System for Real-Time Estimation of Joint Torque with Evoked EMG under Electrical Stimulation

被引：2

作者：

Li, Zhan ^{[1
]}

Hayashibe, Mitsuhiro

Andreu, David

Guiraud, David

机构：

[1] Univ Montpellier 2, INRIA DEMAR Team, Montpellier, France

来源：

REPLACE, REPAIR, RESTORE, RELIEVE - BRIDGING CLINICAL AND ENGINEERING SOLUTIONS IN NEUROREHABILITATION | 2014年 / 7卷

关键词：

RECURRENT NEURAL-NETWORK; FATIGUE; MUSCLE;

D O I：

10.1007/978-3-319-08072-7_76

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

Functional electrical stimulation (FES) is a useful rehabilitation technique for restoring motor capability of spinal cord injured (SCI) patients by artificially driving muscle contractions. Real-time FES systems with online modulation ability are in great need for clinical applications. In this work, a system for real-time estimation of joint torque with evoked electromyography (eEMG) is presented. Kalman filter (KF) is adopted and embedded into the system as the online torque estimator. The real-time estimation system would be promising toward FES control with consideration of torque changes caused by muscle fatigue.

引用

页码：513 / 520

页数：8

共 50 条

[41] Real-time monitoring of thermal cycling damage in ceramic matrix composites under a constant stress [J].

Mei, Hui ;

Cheng, Laifei ;

Zhang, Litong ;

Fang, Peng ;

Meng, Zhixin ;

Liu, Chidong .

JOURNAL OF THE AMERICAN CERAMIC SOCIETY, 2007, 90 (07) :2135-2142

[42] Real-time Detection and Analysis of Damage in High-performance Concrete under Cyclic Bending [J].

Guo, L. -P. ;

Sun, W. ;

Carpinteri, A. ;

Chen, B. ;

He, X. -Y. .

EXPERIMENTAL MECHANICS, 2010, 50 (03) :413-428

[43] Feasibility of Human Wrist-joint Neuromuscular System Identification Method Using Functional Electrical Stimulation in Clinical Examinations [J].

Suzuli, Yuya ;

Matsui, Kazuhiro ;

Atsuumi, Keita ;

Taniguchi, Kazuhiro ;

Hirai, Hiroaki ;

Nishilawa, Atsushi .

ADVANCED BIOMEDICAL ENGINEERING, 2024, 13 :205-213

[44] Smart Fatigue Phone: Real-time estimation of driver fatigue using smartphone-based cortisol detection [J].

Shin, Joonchul ;

Kim, Soocheol ;

Yoon, Taehee ;

Joo, Chulmin ;

Jung, Hyo-Il .

BIOSENSORS & BIOELECTRONICS, 2019, 136 :106-111

[45] The analysis of Iris image acquisition and real-time detection system using convolutional neural network [J].

Yanru Liu ;

Jiali Xu ;

Austin Lin Yee .

The Journal of Supercomputing, 2024, 80 (4) :4500-4532

[46] A thermal emissions-based real-time monitoring system for in situ detection of fatigue cracks [J].

Amjad, K. ;

Lambert, P. ;

Middleton, C. A. ;

Greene, R. J. ;

Patterson, E. A. .

PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES, 2022, 478 (2266)

[47] Design and Validation of Multichannel Wireless Wearable SEMG System for Real-Time Training Performance Monitoring [J].

Orucu, Serkan ;

Selek, Murat .

JOURNAL OF HEALTHCARE ENGINEERING, 2019, 2019

[48] A Real-Time Muscle Fatigue Detection System Based on Multifrequency EIM and sEMG for Effective NMES [J].

Fernandez Schrunder, Alejandro D. ;

Huang, Yu-Kai ;

Rodriguez, Saul ;

Rusu, Ana .

IEEE SENSORS JOURNAL, 2024, 24 (14) :22553-22564

[49] Development of a real-time spalling measurement system for ball-type constant velocity joints [J].

Song, Jun ;

Kim, Dong Hyuk ;

Kim, Seong Han .

MEASUREMENT, 2021, 186

[50] The analysis of Iris image acquisition and real-time detection system using convolutional neural network [J].

Liu, Yanru ;

Xu, Jiali ;

Yee, Austin Lin .

JOURNAL OF SUPERCOMPUTING, 2024, 80 (04) :4500-4532

← 1 2 3 4 5 →