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Detecting destabilizing wheelchair conditions for maintaining seated posture
| Content Provider | Scilit |
|---|---|
| Author | Crawford, Anna Armstrong, Kiley Loparo, Kenneth Audu, Musa Triolo, Ronald |
| Copyright Year | 2017 |
| Description | Journal: Disability and Rehabilitation: Assistive Technology The purpose of this study was to detect and classify potentially destabilizing conditions encountered by manual wheelchair users with spinal cord injuries (SCI) to dynamically increase stability and prevent falls. A volunteer with motor complete T11 paraplegia repeatedly propelled his manual wheelchair over level ground and simulated destabilizing conditions including sudden stops, bumps and rough terrain. Wireless inertial measurement units attached to the wheelchair frame and his sternum recorded associated accelerations and angular velocities. Algorithms based on mean, standard deviation and minimum Mahalanobis distance between conditions were constructed and applied to the data off-line to discriminate between events. Classification accuracy was computed to assess effects of sensor position and potential for automatically selecting a dynamic intervention to best stabilize the wheelchair user. The decision algorithm based on acceleration signals successfully differentiated destabilizing conditions and level over-ground propulsion with classification accuracies of 95.8, 58.3 and 91.7% for the chest, wheelchair and both sensors, respectively. Mahalanobis distance classification based on trunk accelerations is a feasible method for detecting destabilizing events encountered by wheelchair users and may serve as an effective trigger for protective interventions. Incorporating data from wheelchair-mounted sensors decreases the false negative rate. |
| Related Links | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5623614/pdf |
| Ending Page | 185 |
| Page Count | 8 |
| Starting Page | 178 |
| ISSN | 17483107 |
| e-ISSN | 17483115 |
| DOI | 10.1080/17483107.2017.1300347 |
| Journal | Disability and Rehabilitation: Assistive Technology |
| Issue Number | 2 |
| Volume Number | 13 |
| Language | English |
| Publisher | Informa UK Limited |
| Publisher Date | 2018-02-17 |
| Access Restriction | Open |
| Subject Keyword | Journal: Disability and Rehabilitation: Assistive Technology Manual Wheelchair Propulsion Seated Posture Mahalanobis Distance Event Detection Spinal Cord Injury Seated Stability |
| Content Type | Text |
| Subject | Orthopedics and Sports Medicine Rehabilitation Physical Therapy, Sports Therapy and Rehabilitation Speech and Hearing Biomedical Engineering |