Adaptive neuro-fuzzy inference system model driven by the non-negative matrix factorization-extracted muscle synergy patterns to estimate lower limb joint movements

运动学 计算机科学 自适应神经模糊推理系统 肌电图 物理医学与康复 支持向量机 模糊逻辑 人工智能 模式识别(心理学) 模糊控制系统 医学 经典力学 物理
作者
Datao Xu,Huiyu Zhou,Wenjing Quan,Gusztáv Fekete,Julien S. Baker,Yaodong Gu
出处
期刊:Computer Methods and Programs in Biomedicine [Elsevier BV]
卷期号:242: 107848-107848 被引量:12
标识
DOI:10.1016/j.cmpb.2023.107848
摘要

For patients with movement disorders, the main clinical focus is on exercise rehabilitation to help recover lost motor function, which is achieved by relevant assisted equipment. The basis for seamless control of the assisted equipment is to achieve accurate inference of the user's movement intentions in the human-machine interface. This study proposed a novel movement intention detection technology for estimating lower limb joint continuous kinematic variables following muscle synergy patterns, to develop applications for more efficient assisted rehabilitation training.This study recruited 16 healthy males and 16 male patients with symptomatic patellar tendinopathy (VISA-P: 59.1 ± 8.7). The surface electromyography of 12 muscles and lower limb joint kinematic and kinetic data from healthy subjects and patients during step-off landings from 30 cm-high stair steps were collected. We subsequently solved the preprocessed data based on the established recursive model of second-order differential equation to obtain the muscle activation matrix, and then imported it into the non-negative matrix factorization model to obtain the muscle synergy matrix. Finally, the lower limb neuromuscular synergy pattern was then imported into the developed adaptive neuro-fuzzy inference system non-linear regression model to estimate the human movement intention during this movement pattern.Six muscle synergies were determined to construct the muscle synergy pattern driven ANFIS model. Three fuzzy rules were determined in most estimation cases. Combining the results of the four error indicators across the estimated variables indicates that the current model has excellent estimated performance in estimating lower limb joint movement. The estimation errors between the healthy (Angle: R2=0.98±0.03; Torque: R2=0.96±0.04) and patient (Angle: R2=0.98±0.02; Torque: R2=0.96±0.03) groups are consistent.The proposed model of this study can accurately and reliably estimate lower limb joint movements, and the effectiveness will also be radiated to the patient group. This revealed that our models also have certain advantages in the recognition of motor intentions in patients with relevant movement disorders. Future work from this study can be focused on sports rehabilitation in the clinical field by achieving more flexible and precise movement control of the lower limb assisted equipment to help the rehabilitation of patients.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
Minicoper完成签到,获得积分10
10秒前
科研通AI5应助普鲁卡因采纳,获得10
10秒前
111完成签到 ,获得积分10
10秒前
奥特曼完成签到 ,获得积分10
10秒前
苏苏完成签到,获得积分10
11秒前
大橙子完成签到,获得积分10
11秒前
kelite完成签到 ,获得积分10
12秒前
火星上的雨柏完成签到 ,获得积分10
13秒前
JY完成签到,获得积分10
14秒前
知行合一完成签到 ,获得积分10
14秒前
17秒前
17秒前
笑林完成签到 ,获得积分10
18秒前
wwl完成签到,获得积分10
18秒前
娟娟完成签到 ,获得积分10
19秒前
Hollen完成签到 ,获得积分10
19秒前
janejane发布了新的文献求助10
20秒前
21秒前
32429606完成签到 ,获得积分10
21秒前
22秒前
普鲁卡因发布了新的文献求助10
24秒前
发个15分的完成签到 ,获得积分10
26秒前
26秒前
wellyou发布了新的文献求助10
26秒前
量子星尘发布了新的文献求助10
31秒前
自由的鹏涛完成签到,获得积分20
34秒前
35秒前
在水一方应助Nayvue采纳,获得10
35秒前
38秒前
Ryan完成签到,获得积分10
39秒前
General完成签到 ,获得积分10
39秒前
谦让汝燕完成签到,获得积分10
41秒前
wellyou完成签到,获得积分10
42秒前
mint完成签到,获得积分10
44秒前
afli完成签到 ,获得积分0
47秒前
48秒前
Yy完成签到 ,获得积分10
51秒前
Nayvue发布了新的文献求助10
53秒前
feng完成签到,获得积分10
53秒前
淡淡的小蘑菇完成签到 ,获得积分10
56秒前
高分求助中
【提示信息,请勿应助】关于scihub 10000
Les Mantodea de Guyane: Insecta, Polyneoptera [The Mantids of French Guiana] 3000
徐淮辽南地区新元古代叠层石及生物地层 3000
The Mother of All Tableaux: Order, Equivalence, and Geometry in the Large-scale Structure of Optimality Theory 3000
Handbook of Industrial Diamonds.Vol2 1100
Global Eyelash Assessment scale (GEA) 1000
Picture Books with Same-sex Parented Families: Unintentional Censorship 550
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 4038128
求助须知:如何正确求助?哪些是违规求助? 3575831
关于积分的说明 11373827
捐赠科研通 3305610
什么是DOI,文献DOI怎么找? 1819255
邀请新用户注册赠送积分活动 892655
科研通“疑难数据库(出版商)”最低求助积分说明 815022