A Comprehensive Survey on Advanced Technologies Introduced for Rehabilitation
Following major accidents or illness, some patients may lose partially or completely some of their mental or physical function. Rehabilitation approaches and systems play an important role in patients' recovery. This manuscript focuses on rehabilitation systems. We provide insights on major and recent approaches, signals, and systems used to assist patient recovery. In order to help researchers, engineers, or physicians, this paper provides a comprehensive survey on recent approaches and systems used in the rehabilitation process. By highlighting the advantages and drawbacks of existing rehabilitation systems, this contribution can support initial studies or projects and encourage young researchers, as well as biomedical companies, to investigate and invest in new technologies. We hope that our study will participate in the global efforts paid to reduce patient suffering and help health care centers in their activities. To achieve this goal, we consider in our study recent technologies such as machine learning, artificial intelligence, signal processing, without missing to highlight various biomedical signals and exploring several developed systems.
Authors
- Paolo Crippa (ORCID: https://orcid.org/0000-0003-4504-7550)
- Yue Rong (ORCID: https://orcid.org/0000-0002-5831-7479)
- Ali Mansour
- Adel Al-Jumaily
Institutions
- Marche Polytechnic University (IT)
- Centre National de la Recherche Scientifique (FR)
- École Nationale Supérieure de Techniques Avancées (FR)
- Curtin University (AU)
Publication Details
- Journal
- IEEE Sensors Reviews
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1109/sr.2025.3572443
- Citations
- 1
- Primary Topic
- Advanced Computing and Algorithms
- Type
- article
- Field-Weighted Citation Impact
- 6.18