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| Content Provider | Springer Nature : BioMed Central |
|---|---|
| Author | Oh, Seunghue Song, Minsu Kim, Jonghyun |
| Abstract | Background Existing treadmill-based locomotion training, which has been used for gait function recovery, still has limitations, such as less attentive training. Interactive treadmills (ITMs) were developed to overcome these limitations, but it has not yet been verified that ITMs can make the user pay closer attention to walk training. Methods An experimental comparison between ITMs and conventional treadmills was conducted by measuring the level of the user’s attention using functional near-infrared spectroscopy (fNIRS). To consider the effect of task complexity on the subject’s attention, we provided two (slow and fast) speed conditions for walking on both treadmills. Results Both the cortical activity images and oxygenated hemoglobin (oxyHb) changes showed that the level of attention to walking induced by the ITM was significantly higher than that induced by the conventional treadmill. We found that the walking speed on the ITM also affected the level of attention. Conclusion ITM-based locomotion training would be a promising solution to the limitations of existing treadmill-based locomotion training currently used to improve gait function recovery. Trial registration DGIST-HR-150309-03-02 . Registered 01 March 2015. |
| Related Links | https://jneuroengrehab.biomedcentral.com/counter/pdf/10.1186/s12984-018-0472-x.pdf |
| Ending Page | 11 |
| Page Count | 11 |
| Starting Page | 1 |
| File Format | HTM / HTML |
| ISSN | 17430003 |
| DOI | 10.1186/s12984-018-0472-x |
| Journal | Journal of NeuroEngineering and Rehabilitation |
| Issue Number | 1 |
| Volume Number | 15 |
| Language | English |
| Publisher | BioMed Central |
| Publisher Date | 2018-12-20 |
| Access Restriction | Open |
| Subject Keyword | Neurosciences Neurology Rehabilitation Medicine Biomedical Engineering and Bioengineering Gait training Attention Task complexity Walking speed Interactive treadmill (ITM) fNIRS |
| Content Type | Text |
| Resource Type | Article |
| Subject | Health Informatics Rehabilitation |
| Journal Impact Factor | 5.2/2023 |
| 5-Year Journal Impact Factor | 5.6/2023 |
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