Decision support systems for lower limb rehabilitation using electrical stimulation—A review Article Swipe
Tiago Franco
,
Pedro Rangel Henriques
,
Paulo Alves
,
Maria João Varanda Pereira
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1016/j.bea.2025.100162
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1016/j.bea.2025.100162
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.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.bea.2025.100162
- OA Status
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- References
- 47
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4409450651
All OpenAlex metadata
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https://openalex.org/W4409450651Canonical identifier for this work in OpenAlex
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https://doi.org/10.1016/j.bea.2025.100162Digital Object Identifier
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Decision support systems for lower limb rehabilitation using electrical stimulation—A reviewWork title
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articleOpenAlex work type
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enPrimary language
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2025Year of publication
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2025-04-15Full publication date if available
- Authors
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Tiago Franco, Pedro Rangel Henriques, Paulo Alves, Maria João Varanda PereiraList of authors in order
- Landing page
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https://doi.org/10.1016/j.bea.2025.100162Publisher landing page
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://doi.org/10.1016/j.bea.2025.100162Direct OA link when available
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Rehabilitation, Functional electrical stimulation, Physical medicine and rehabilitation, Stimulation, Electric stimulation therapy, Decision support system, Computer science, Medicine, Physical therapy, Psychology, Neuroscience, Artificial intelligenceTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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47Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.reasoning | 71, 136 |
| abstract_inverted_index.research. | 151 |
| abstract_inverted_index.sensitive | 68 |
| abstract_inverted_index.validated | 120 |
| abstract_inverted_index.Electrical | 16 |
| abstract_inverted_index.addressing | 51 |
| abstract_inverted_index.emphasizes | 126 |
| abstract_inverted_index.highlights | 77 |
| abstract_inverted_index.identifies | 58, 146 |
| abstract_inverted_index.increasing | 85 |
| abstract_inverted_index.monitoring | 140 |
| abstract_inverted_index.processes. | 75 |
| abstract_inverted_index.questions. | 55 |
| abstract_inverted_index.support” | 100 |
| abstract_inverted_index.systematic | 43 |
| abstract_inverted_index.validation | 74 |
| abstract_inverted_index.Conversely, | 113 |
| abstract_inverted_index.Stimulation | 17 |
| abstract_inverted_index.biofeedback | 88 |
| abstract_inverted_index.development | 79 |
| abstract_inverted_index.protection, | 70, 135 |
| abstract_inverted_index.significant | 93, 147 |
| abstract_inverted_index.techniques, | 72 |
| abstract_inverted_index.“decision | 99 |
| abstract_inverted_index.FES-Cycling. | 96 |
| abstract_inverted_index.bibliometric | 29 |
| abstract_inverted_index.methodology. | 23 |
| abstract_inverted_index.neurological | 122 |
| abstract_inverted_index.advancements, | 98 |
| abstract_inverted_index.applications, | 91 |
| abstract_inverted_index.architectures | 108 |
| abstract_inverted_index.comprehensive | 4 |
| abstract_inverted_index.sophisticated | 130 |
| abstract_inverted_index.rehabilitation | 14, 143 |
| abstract_inverted_index.characteristics | 61 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 4 |
| citation_normalized_percentile.value | 0.1305425 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |