Method of Topological Skeletonization for Evaluation of Effectiveness of Medical Rehabilitation Based on Upper Limb Exoskeletons
An important aspect of medical rehabilitation using exoskeletons is objective monitoring of the effectiveness of the exercise program. This control is most often manual and relies on the attention of a rehabilitation physician, but advanced rehabilitation systems also use computer vision technology. Topological skeletons generalize large areas of digital images, representing a virtual internal framework of the analyzed object. The patient and the exoskeleton are described either as a set of spatially disparate (but not explicitly related to either the patient or the exoskeleton) topological skeletons, or as branches of a single topological skeleton which does not allow for objective monitoring of joint displacements. A method to solve this problem for medical rehabilitation using an upper-limb exoskeleton is proposed. It includes the following stages: (I) identifying the exoskeleton, as well as upper and lower parts of the patient’s body; (II) independent construction of three topological skeletons (separately for the exoskeleton and for the upper and lower parts of the patient’s body); (III) their integration. This approach allows for accurate, real-time analysis of movements in the upper-limb joints and prompt notification to the rehabilitation physician of any significant deviations in the technique of performing prescribed exercises.
Authors
- Artem Obukhov (ORCID: https://orcid.org/0000-0002-3450-5213)
- Denis Dedov (ORCID: https://orcid.org/0000-0002-6243-837X)
- A. Yu. Potlov (ORCID: https://orcid.org/0000-0001-9376-3688)
- Mikhail Krasnyanskiy (ORCID: https://orcid.org/0000-0002-8751-7445)
- Д.Е. Судаков (ORCID: https://orcid.org/0009-0003-3188-1269)
Institutions
- Tambov State Technical University (RU)
Publication Details
- Journal
- Technologies
- Published
- 2025-11-11
- DOI
- https://doi.org/10.3390/technologies13110516
- Primary Topic
- Advanced Scientific Research Methods
- Type
- article
- Field-Weighted Citation Impact
- 0.00