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Optical fiber sensors for posture monitoring, ulcer detection and control in a wheelchair: a state-of-the-art.
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- Author(s): González-Cely, Aura Ximena (AUTHOR); Diaz, Camilo A. R. (AUTHOR); Callejas-Cuervo, Mauro (AUTHOR); Bastos-Filho, Teodiano (AUTHOR)
- Source:
Disability & Rehabilitation: Assistive Technology. May2024, Vol. 19 Issue 4, p1773-1790. 18p. - Source:
- Additional Information
- Subject Terms: POLYMERS; WHEELCHAIRS; RESEARCH funding; GRAPHICAL user interfaces; REHABILITATION; DESCRIPTIVE statistics; FIBER optics; SYSTEMATIC reviews; MEDLINE; SUPPORT vector machines; LITERATURE reviews; SITTING position; POSTURE; PATIENT monitoring; ONLINE information services; MACHINE learning; PRESSURE ulcers; PEOPLE with disabilities; PREVENTIVE health services; ALGORITHMS; SENSITIVITY & specificity (Statistics)
- Abstract: In the last ten years, the design and implementation of Optical Fiber Sensors (OFS) in biomedical applications have been discussed, with a focus on different subareas, such as body parameter monitoring and control of assistive devices. A scoping review was performed including scientific literature (PubMed/Scopus, IEEE and Web of Science), patents (WIPO/Google Scholar), and commercial information. The main applications of OFS in the rehabilitation field for preventing future postural diseases and applying them in device controllers were discussed in this review. Physical characteristics of OFS, different uses, and applications of Polymer Optical Fiber pressure sensors are mentioned. The main postures used for posture monitoring analysis when the user is sitting are normal position, crooked back, high lumbar pressure, sitting on the edge of the chair, and crooked back, left position, and right position. Additionally, it is possible to use Machine Learning (ML) algorithms for posture classification, and device control such as Support Vector Machine, k-Nearest Neighbors, etc., obtaining accuracies above 97%. Moreover, the literature mentions wheelchair controllers and Graphical User Interfaces using pressure maps to provide feedback to the user. OFS have been used in several healthcare applications as well as postural and preventive applications. The literature showed an effort to implement and design accessible devices for people with disabilities and people with specific diseases. Alternatively, ML algorithms are widely used in this direction, leaving the door open for further studies that allow the application of real-time systems for posture monitoring and wheelchairs control. Posture monitoring and ulcer detection systems are very useful to prevent or treat diseases related to bedsores or pressure ulcers using a different kind of electronic or optic instrumentation to improve the user's quality of life. The system characteristics using optical fiber sensors discussed in this review set an important precedent in the fabrication of low-cost systems for biomedical applications. [ABSTRACT FROM AUTHOR]
- Abstract: Copyright of Disability & Rehabilitation: Assistive Technology is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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