Suppr超能文献

基于惯性测量单元传感器和肌电图的步态训练和康复五杆连杆原型机的生物力学分析。

Biomechanical Analysis in Five Bar Linkage Prototype Machine of Gait Training and Rehabilitation by IMU Sensor and Electromyography.

机构信息

Future Medicine Division, Korea Institute of Oriental Medicine, Daejeon 34504, Korea.

HUCA System Inc., Daegu 41061, Korea.

出版信息

Sensors (Basel). 2021 Mar 2;21(5):1726. doi: 10.3390/s21051726.

Abstract

The prototype machine of gait training and rehabilitation (MGTR) with a five-bar linkage structure was designed to improve the common end-effector type. Additionally, the study was conducted to evaluate the joint angle and muscle activity during walking for the evaluation of prototype: (1) Background: The gait rehabilitation systems are largely divided into exoskeletal type and end-effector type. The end-effector type can be improved a gait trajectory similar to normal gait according to this prototype. Therefore, a new design of prototype MGTR is proposed in this study. (2) Methods: The gait experience was conducted with thirteen healthy male subjects using an inertial measurement unit (IMU) sensor and electromyography (EMG). It was compared that the hip and knee joints and the muscle activity between the normal gait and MGTR. (3) Results: The results showed that there was a high correlation between the knee joint angle for normal gait and MGTR. The range of motion (RoM) was small for the MGTR. The EMG results showed that the activation of the rectus femoris muscle was most similar to the normal gait and MGTR. (4) Conclusions: The characteristics of the kinematic variables of the subjects varied widely. It is necessary to modify the machine so that the link length can be adjusted in consideration of various segment lengths of patients.

摘要

步态训练和康复原型机(MGTR)采用五杆连杆结构设计,以改善常见的末端执行器类型。此外,还进行了研究,以评估原型机在行走过程中的关节角度和肌肉活动,用于评估原型机:

  1. 背景:步态康复系统主要分为外骨骼式和末端执行器式。根据该原型机,可以改善末端执行器型的步态轨迹。因此,本研究提出了一种新的 MGTR 原型设计。

  2. 方法:使用惯性测量单元(IMU)传感器和肌电图(EMG)对 13 名健康男性进行步态体验。比较了正常步态和 MGTR 时髋关节和膝关节以及肌肉活动。

  3. 结果:结果表明,正常步态和 MGTR 的膝关节角度具有高度相关性。MGTR 的运动范围较小。肌电图结果表明,股直肌的激活与正常步态和 MGTR 最相似。

  4. 结论:受试者的运动学变量特征差异很大。有必要对机器进行修改,以便可以根据患者的各个节段长度来调整连杆长度。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6405/7958945/76d6126bb855/sensors-21-01726-g001.jpg

相似文献

3
Body-Worn IMU-Based Human Hip and Knee Kinematics Estimation during Treadmill Walking.
Sensors (Basel). 2022 Mar 26;22(7):2544. doi: 10.3390/s22072544.
5
Immediate kinematic and muscle activity changes after a single robotic exoskeleton walking session post-stroke.
Top Stroke Rehabil. 2020 Oct;27(7):503-515. doi: 10.1080/10749357.2020.1728954. Epub 2020 Feb 20.
6
Biomechanical effects of robot assisted walking on knee joint kinematics and muscle activation pattern.
IEEE Int Conf Rehabil Robot. 2017 Jul;2017:252-257. doi: 10.1109/ICORR.2017.8009255.
8
Validation of a Novel Device for the Knee Monitoring of Orthopaedic Patients.
Sensors (Basel). 2019 Nov 27;19(23):5193. doi: 10.3390/s19235193.
9
Using Inertial Measurement Unit Sensor Single Axis Rotation Angles for Knee and Hip Flexion Angle Calculations During Gait.
IEEE J Transl Eng Health Med. 2022 Dec 1;11:80-86. doi: 10.1109/JTEHM.2022.3226153. eCollection 2023.

引用本文的文献

本文引用的文献

1
Gait Event Detection for Stroke Patients during Robot-Assisted Gait Training.
Sensors (Basel). 2020 Jun 16;20(12):3399. doi: 10.3390/s20123399.
3
[Clinical gait analysis: user guide].
Rev Med Suisse. 2015 Oct 14;11(490):1916-20.
5
The relative contribution of ankle moment and trailing limb angle to propulsive force during gait.
Hum Mov Sci. 2015 Feb;39:212-21. doi: 10.1016/j.humov.2014.11.008. Epub 2014 Dec 12.
7
IMU-based joint angle measurement for gait analysis.
Sensors (Basel). 2014 Apr 16;14(4):6891-909. doi: 10.3390/s140406891.
8
Electromechanical-assisted training for walking after stroke: updated evidence.
Stroke. 2013 Oct;44(10):e127-8. doi: 10.1161/strokeaha.113.003061.
10
Development of a body joint angle measurement system using IMU sensors.
Annu Int Conf IEEE Eng Med Biol Soc. 2011;2011:6923-6. doi: 10.1109/IEMBS.2011.6091743.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验