Decision support systems for lower limb rehabilitation using electrical stimulation—A review
This paper presents a comprehensive review of Decision Support Systems (DSS) for lower limb rehabilitation using Electrical Stimulation (ES), employing a rigorous two-part methodology. The first part involves a bibliometric analysis of articles from 1980 to 2023, while the second part is a systemati...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-06-01
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| Series: | Biomedical Engineering Advances |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2667099225000180 |
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| author | Tiago Franco Pedro Rangel Henriques Paulo Alves Maria João Varanda Pereira |
| author_facet | Tiago Franco Pedro Rangel Henriques Paulo Alves Maria João Varanda Pereira |
| author_sort | Tiago Franco |
| collection | DOAJ |
| description | This paper presents a comprehensive review of Decision Support Systems (DSS) for lower limb rehabilitation using Electrical Stimulation (ES), employing a rigorous two-part methodology. The first part involves a bibliometric analysis of articles from 1980 to 2023, while the second part is a systematic review of studies from 2019 to 2023, addressing six key research questions. The review identifies the main characteristics of DSS, such as data usage, sensitive data protection, reasoning techniques, and validation processes. It highlights the development focus on joint control systems, increasing interest in biofeedback and AI applications, and significant interest in FES-Cycling. Despite advancements, “decision support” remains in the early stages with simple architectures and limited data handling. Conversely, studies show advanced ES control models validated with neurological patients. This article emphasizes the need for sophisticated DSS that integrate data protection, reasoning methods, and patient monitoring to enhance rehabilitation outcomes and identifies significant gaps for future research. |
| format | Article |
| id | doaj-art-74cdbbaf0efe41cabd94d40c13f1e120 |
| institution | Kabale University |
| issn | 2667-0992 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Biomedical Engineering Advances |
| spelling | doaj-art-74cdbbaf0efe41cabd94d40c13f1e1202025-08-20T03:45:28ZengElsevierBiomedical Engineering Advances2667-09922025-06-01910016210.1016/j.bea.2025.100162Decision support systems for lower limb rehabilitation using electrical stimulation—A reviewTiago Franco0Pedro Rangel Henriques1Paulo Alves2Maria João Varanda Pereira3The Research Centre in Digitalization and Intelligent Robotics (CeDRI), Polytechnic Institute of Bragança, Bragança, Portugal; The Associate Laboratory for Sustainability and Technology in Mountain Regions (SusTEC), Polytechnic Institute of Bragança, Bragança, Portugal; Corresponding author at: The Research Centre in Digitalization and Intelligent Robotics (CeDRI), Polytechnic Institute of Bragança, Bragança, Portugal.ALGORITMI Centre, University of Minho, Braga, PortugalThe Research Centre in Digitalization and Intelligent Robotics (CeDRI), Polytechnic Institute of Bragança, Bragança, Portugal; The Associate Laboratory for Sustainability and Technology in Mountain Regions (SusTEC), Polytechnic Institute of Bragança, Bragança, PortugalThe Research Centre in Digitalization and Intelligent Robotics (CeDRI), Polytechnic Institute of Bragança, Bragança, Portugal; The Associate Laboratory for Sustainability and Technology in Mountain Regions (SusTEC), Polytechnic Institute of Bragança, Bragança, PortugalThis paper presents a comprehensive review of Decision Support Systems (DSS) for lower limb rehabilitation using Electrical Stimulation (ES), employing a rigorous two-part methodology. The first part involves a bibliometric analysis of articles from 1980 to 2023, while the second part is a systematic review of studies from 2019 to 2023, addressing six key research questions. The review identifies the main characteristics of DSS, such as data usage, sensitive data protection, reasoning techniques, and validation processes. It highlights the development focus on joint control systems, increasing interest in biofeedback and AI applications, and significant interest in FES-Cycling. Despite advancements, “decision support” remains in the early stages with simple architectures and limited data handling. Conversely, studies show advanced ES control models validated with neurological patients. This article emphasizes the need for sophisticated DSS that integrate data protection, reasoning methods, and patient monitoring to enhance rehabilitation outcomes and identifies significant gaps for future research.http://www.sciencedirect.com/science/article/pii/S2667099225000180Decision support systemLower limbRehabilitationElectrical stimulationReview |
| spellingShingle | Tiago Franco Pedro Rangel Henriques Paulo Alves Maria João Varanda Pereira Decision support systems for lower limb rehabilitation using electrical stimulation—A review Biomedical Engineering Advances Decision support system Lower limb Rehabilitation Electrical stimulation Review |
| title | Decision support systems for lower limb rehabilitation using electrical stimulation—A review |
| title_full | Decision support systems for lower limb rehabilitation using electrical stimulation—A review |
| title_fullStr | Decision support systems for lower limb rehabilitation using electrical stimulation—A review |
| title_full_unstemmed | Decision support systems for lower limb rehabilitation using electrical stimulation—A review |
| title_short | Decision support systems for lower limb rehabilitation using electrical stimulation—A review |
| title_sort | decision support systems for lower limb rehabilitation using electrical stimulation a review |
| topic | Decision support system Lower limb Rehabilitation Electrical stimulation Review |
| url | http://www.sciencedirect.com/science/article/pii/S2667099225000180 |
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