为脑卒中后患者开发可穿戴超声-FES 集成康复和运动功能重建系统

IF 4.9 2区 医学 Q1 ENGINEERING, BIOMEDICAL
{"title":"为脑卒中后患者开发可穿戴超声-FES 集成康复和运动功能重建系统","authors":"","doi":"10.1016/j.bspc.2024.106846","DOIUrl":null,"url":null,"abstract":"<div><div>Post-stroke patients experience a significant decrease of self-care capabilities in their daily lives because of motor dysfunction. The combination of intention recognition and functional electrical stimulation (FES) is used frequently to assist in improving the self-care capabilities for post-stroke patients. However, the electrical noise from the environment and the weak bio-signal from post-stroke patients lead to low-accurate intention recognition for post-stroke patients. To overcome the issue, this paper introduces a wearable rehabilitation and motor-functional reconstruction system for post-stroke rehabilitation with a new intention recognition system. This system consists of an FES unit and a wearable musculoskeletal ultrasound system. The integration of the wearable ultrasound system allows for high-accuracy continuous intention recognition whilst the FES unit is in operation. This key feature significantly enhances the system’s robustness in FES control, augments the signal-to-noise ratio and offers precise assistance in the reconstruction of motor function, thereby improving the effectiveness of post-stroke rehabilitation. In this study, the feasibility and efficiency of the proposed system were investigated. In the clinical trial, eight post-stroke subjects were recruited. In the experiment of motor-functional reconstruction, the proposed system demonstrated enhancements of approximately 23 % and 76 % in wrist raising angle and velocity, respectively. These results demonstrated that the proposed wearable system is effective for active rehabilitation and potential candidate to reconstruct the motor function of post-stroke patients.</div></div>","PeriodicalId":55362,"journal":{"name":"Biomedical Signal Processing and Control","volume":null,"pages":null},"PeriodicalIF":4.9000,"publicationDate":"2024-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Development of a wearable ultrasound–FES integrated rehabilitation and motor-functional reconstruction system for post-stroke patients\",\"authors\":\"\",\"doi\":\"10.1016/j.bspc.2024.106846\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Post-stroke patients experience a significant decrease of self-care capabilities in their daily lives because of motor dysfunction. The combination of intention recognition and functional electrical stimulation (FES) is used frequently to assist in improving the self-care capabilities for post-stroke patients. However, the electrical noise from the environment and the weak bio-signal from post-stroke patients lead to low-accurate intention recognition for post-stroke patients. To overcome the issue, this paper introduces a wearable rehabilitation and motor-functional reconstruction system for post-stroke rehabilitation with a new intention recognition system. This system consists of an FES unit and a wearable musculoskeletal ultrasound system. The integration of the wearable ultrasound system allows for high-accuracy continuous intention recognition whilst the FES unit is in operation. This key feature significantly enhances the system’s robustness in FES control, augments the signal-to-noise ratio and offers precise assistance in the reconstruction of motor function, thereby improving the effectiveness of post-stroke rehabilitation. In this study, the feasibility and efficiency of the proposed system were investigated. In the clinical trial, eight post-stroke subjects were recruited. In the experiment of motor-functional reconstruction, the proposed system demonstrated enhancements of approximately 23 % and 76 % in wrist raising angle and velocity, respectively. These results demonstrated that the proposed wearable system is effective for active rehabilitation and potential candidate to reconstruct the motor function of post-stroke patients.</div></div>\",\"PeriodicalId\":55362,\"journal\":{\"name\":\"Biomedical Signal Processing and Control\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":4.9000,\"publicationDate\":\"2024-11-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Biomedical Signal Processing and Control\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1746809424009042\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, BIOMEDICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biomedical Signal Processing and Control","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1746809424009042","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, BIOMEDICAL","Score":null,"Total":0}
引用次数: 0

摘要

由于运动功能障碍,脑卒中后患者的日常生活自理能力明显下降。意向识别和功能性电刺激(FES)的结合被广泛用于帮助改善脑卒中后患者的自理能力。然而,来自环境的电噪声和脑卒中后患者微弱的生物信号导致脑卒中后患者的意向识别准确率较低。为了克服这一问题,本文介绍了一种用于中风后康复的可穿戴康复和运动功能重建系统,其中包含一个新的意向识别系统。该系统由 FES 单元和可穿戴式肌肉骨骼超声系统组成。可穿戴式超声波系统的集成,使其能够在 FES 装置运行时进行高精度的连续意向识别。这一关键功能大大增强了系统在 FES 控制中的稳健性,提高了信噪比,为运动功能的重建提供了精确的帮助,从而提高了中风后康复的效果。本研究调查了拟议系统的可行性和效率。在临床试验中,共招募了 8 名中风后受试者。在运动功能重建实验中,拟议的系统在手腕抬起角度和速度方面分别提高了约 23% 和 76%。这些结果表明,建议的可穿戴系统对主动康复有效,是重建中风后患者运动功能的潜在候选系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development of a wearable ultrasound–FES integrated rehabilitation and motor-functional reconstruction system for post-stroke patients
Post-stroke patients experience a significant decrease of self-care capabilities in their daily lives because of motor dysfunction. The combination of intention recognition and functional electrical stimulation (FES) is used frequently to assist in improving the self-care capabilities for post-stroke patients. However, the electrical noise from the environment and the weak bio-signal from post-stroke patients lead to low-accurate intention recognition for post-stroke patients. To overcome the issue, this paper introduces a wearable rehabilitation and motor-functional reconstruction system for post-stroke rehabilitation with a new intention recognition system. This system consists of an FES unit and a wearable musculoskeletal ultrasound system. The integration of the wearable ultrasound system allows for high-accuracy continuous intention recognition whilst the FES unit is in operation. This key feature significantly enhances the system’s robustness in FES control, augments the signal-to-noise ratio and offers precise assistance in the reconstruction of motor function, thereby improving the effectiveness of post-stroke rehabilitation. In this study, the feasibility and efficiency of the proposed system were investigated. In the clinical trial, eight post-stroke subjects were recruited. In the experiment of motor-functional reconstruction, the proposed system demonstrated enhancements of approximately 23 % and 76 % in wrist raising angle and velocity, respectively. These results demonstrated that the proposed wearable system is effective for active rehabilitation and potential candidate to reconstruct the motor function of post-stroke patients.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Biomedical Signal Processing and Control
Biomedical Signal Processing and Control 工程技术-工程:生物医学
CiteScore
9.80
自引率
13.70%
发文量
822
审稿时长
4 months
期刊介绍: Biomedical Signal Processing and Control aims to provide a cross-disciplinary international forum for the interchange of information on research in the measurement and analysis of signals and images in clinical medicine and the biological sciences. Emphasis is placed on contributions dealing with the practical, applications-led research on the use of methods and devices in clinical diagnosis, patient monitoring and management. Biomedical Signal Processing and Control reflects the main areas in which these methods are being used and developed at the interface of both engineering and clinical science. The scope of the journal is defined to include relevant review papers, technical notes, short communications and letters. Tutorial papers and special issues will also be published.
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信