Yudong Cao , Yun Lu , Wenpan Wang , Peng Xu , Xiaoli Yang , Shiwu Zhang , Ming Wu , Xinglong Gong , Shuaishuai Sun
{"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":"Yudong Cao , Yun Lu , Wenpan Wang , Peng Xu , Xiaoli Yang , Shiwu Zhang , Ming Wu , Xinglong Gong , Shuaishuai Sun","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":"100 ","pages":"Article 106846"},"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\":\"Yudong Cao , Yun Lu , Wenpan Wang , Peng Xu , Xiaoli Yang , Shiwu Zhang , Ming Wu , Xinglong Gong , Shuaishuai Sun\",\"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\":\"100 \",\"pages\":\"Article 106846\"},\"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}
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.
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.