| Content Provider | Springer Nature : BioMed Central |
|---|---|
| Author | Homan, Kentaro Yamamoto, Keizo Kadoya, Ken Ishida, Naoki Iwasaki, Norimasa |
| Abstract | Background Use of a wearable gait analysis system (WGAS) is becoming common when conducting gait analysis studies due to its versatility. At the same time, its versatility raises a concern about its accuracy, because its calculations rely on assumptions embedded in its algorithms. The purpose of the present study was to validate twenty spatiotemporal gait parameters calculated by the WGAS by comparison with simultaneous measurements taken with an optical motion capture system (OMCS). Methods Ten young healthy volunteers wore two inertial sensors of the commercially available WGAS, Physilog®, on their feet and 23 markers for the OMCS on the lower part of the body. The participants performed at least three sets of 10-m walk tests at their self-paced speed in the laboratory equipped with 12 high-speed digital cameras with embedded force plates. To measure repeatability, all participants returned for a second day of testing within two weeks. Results Twenty gait parameters calculated by the WGAS had a significant correlation with the ones determined by the OMCS. Bland and Altman analysis showed that the between-device agreement for twenty gait parameters was within clinically acceptable limits. The validity of the gait parameters generated by the WGAS was found to be excellent except for two parameters, swing width and maximal heel clearance. The repeatability of the WGAS was excellent when measured between sessions. Conclusion The present study showed that spatiotemporal gait parameters estimated by the WGAS were reasonably accurate and repeatable in healthy young adults, providing a scientific basis for applying this system to clinical studies. |
| Related Links | https://bmcsportsscimedrehabil.biomedcentral.com/counter/pdf/10.1186/s13102-022-00461-x.pdf |
| Ending Page | 11 |
| Page Count | 11 |
| Starting Page | 1 |
| File Format | HTM / HTML |
| ISSN | 20521847 |
| DOI | 10.1186/s13102-022-00461-x |
| Journal | BMC Sports Science, Medicine and Rehabilitation |
| Issue Number | 1 |
| Volume Number | 14 |
| Language | English |
| Publisher | BioMed Central |
| Publisher Date | 2022-04-17 |
| Access Restriction | Open |
| Subject Keyword | BMC Sports Science Medicine and Rehabilitation Sports Medicine Orthopedics Rehabilitation Medicine Wearable sensor Validation study Gait analysis Three-dimensional motion analysis |
| Content Type | Text |
| Resource Type | Article |
| Subject | Physical Therapy, Sports Therapy and Rehabilitation Rehabilitation Orthopedics and Sports Medicine |
| Journal Impact Factor | 2.1/2023 |
| 5-Year Journal Impact Factor | 2.3/2023 |
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