| Title: |
Assessing sit-to-stand motion execution using 6D IMUs only - A proof of concept |
| Authors: |
Kuhlgatz Timo; Caruso Matteo Antonino; Ferrante Simona; Seel Thomas |
| Source: |
Current Directions in Biomedical Engineering, Vol 11, Iss 1, Pp 429-432 (2025) |
| Publisher Information: |
De Gruyter, 2025. |
| Publication Year: |
2025 |
| Collection: |
LCC:Medicine |
| Subject Terms: |
sts assessment; joint angles; imu; classification; Medicine |
| Description: |
In this paper, we propose a proof of concept for using 6D IMUs to assess the correctness of sit-to-stand (STS) motion, a critical task in post-stroke rehabilitation. Therefore, healthy individuals were instructed to mimic post-stroke movement patterns, providing a relevant model for post-stroke behavior. We demonstrate that using simple kinematic models for all articulated joints is a feasible approach to calculating joint angles and extracting relevant features. Using rule-based and learning-based classification models, we are able to distinguish between multiple error types in the STS motion, with average classification accuracies of 89.78% and 94.03%, respectively. In contrast to many state-of-the-art methods that only provide a binary classification of correct versus incorrect execution, our approach enables the differentiation between various error types. Additionally, it overcomes the limitations of complex, location-dependent camera systems and susceptibility to magnetic disturbances. This highlights the feasibility of this approach for evaluating STS motion, with potential applications in providing automated feedback for post-stroke rehabilitation and supporting the recovery of activities of daily living. |
| Document Type: |
article |
| File Description: |
electronic resource |
| Language: |
English |
| ISSN: |
2364-5504 |
| Relation: |
https://doaj.org/toc/2364-5504 |
| DOI: |
10.1515/cdbme-2025-0209 |
| Access URL: |
https://doaj.org/article/eae249d6bfdb4e82858c2dcd4bd6acb7 |
| Accession Number: |
edsdoj.249d6bfdb4e82858c2dcd4bd6acb7 |
| Database: |
Directory of Open Access Journals |