Collaborative design of a telerehabilitation system enabling virtual second opinion based on fuzzy logic. Issue 4 (15th February 2018)

• Record Type: Journal Article
• Authors: Capecci, Marianna; Ciabattoni, Lucio; Ferracuti, Francesco; Monteriù, Andrea; Romeo, Luca; Verdini, Federica
• Is Part Of: IET computer vision. Volume 12:Issue 4(2018)
• Page Start: 502
• Page End: 512
• Publication Date: 2018-02-15
• Subjects: telemedicine -- biomedical telemetry -- patient rehabilitation -- virtual reality -- fuzzy logic -- biomechanics -- image sensors -- biomedical optical imaging -- image motion analysis -- medical image processing -- fuzzy reasoning; collaborative design -- virtual second opinion -- fuzzy logic -- low cost telerehabilitation system -- commercial red-green-blue depth camera -- web-based platform -- subject movement -- usable at-home remote rehabilitation services -- clinical goals -- physiotherapists -- motion analysis features -- Takagi Sugeno fuzzy inference system -- evaluation algorithm -- fuzzy rules -- low back pain rehabilitation -- clinician evaluation -- FIS scores -- free second opinion; Computer vision -- Periodicals; Pattern recognition systems -- Periodicals; 006.37
• DOI: 10.1049/iet-cvi.2017.0114
• Languages: English
• ISSNs: 1751-9632

Abstract

Abstract : Here, the authors present a low cost telerehabilitation system made up of a commercial red–green–blue depth (RGB‐D) camera and a web‐based platform. The authors goal is to monitor and assess subject movement providing acceptable and usable at‐home remote rehabilitation services without the presence of a clinician. Clinical goals, defined by physiotherapists, are firstly translated into motion analysis features. A Takagi Sugeno fuzzy inference system (FIS) is then proposed to evaluate and combine these features into scores. In this stage, the 'collaborative design' paradigm is used in depth and complete manner: the contribution of the clinician is not limited only to the rules definition but enters in the core of the evaluation algorithm through the definition of the fuzzy rules. A case study on low back pain rehabilitation involving 40 subjects, 5 exercises, and 4 physiotherapists is then presented to the effectiveness of the proposed system. Results of the validation of the system aimed at the assessment of the reliability of the proposed approach show high correlations between clinician evaluation and FIS scores. In this scenario, due to the high correlation, each FIS could represent a virtual alter‐ego of the physiotherapist which enable a real time and free second opinion.