The DOI matches its Crossref record; 44 of the 44 references it cites were found in a registry or an index.
Pilot study of Lokomat versus manual-assisted treadmill training for locomotor recovery post-stroke
Open accessAbstract
BACKGROUND: While manually-assisted body-weight supported treadmill training (BWSTT) has revealed improved locomotor function in persons with post-stroke hemiparesis, outcomes are inconsistent and it is very labor intensive. Thus an alternate treatment approach is desirable. Objectives of this pilot study were to: 1) compare the efficacy of body-weight supported treadmill training (BWSTT) combined with the Lokomat robotic gait orthosis versus manually-assisted BWSTT for locomotor training post-stroke, and 2) assess effects of fast versus slow treadmill training speed. METHODS: Sixteen volunteers with chronic hemiparetic gait (0.62 +/- 0.30 m/s) post-stroke were randomly allocated to Lokomat (n = 8) or manual-BWSTT (n = 8) 3x/wk for 4 weeks. Groups were also stratified by fast (mean 0.92 +/- 0.15 m/s) or slow (0.58 +/- 0.12 m/s) training speeds. The primary outcomes were self-selected overground walking speed and paretic step length ratio. Secondary outcomes included: fast overground walking speed, 6-minute walk test, and a battery of clinical measures. RESULTS: No significant differences in primary outcomes were revealed between Lokomat and manual groups as a result of training. However, within the Lokomat group, self-selected walk speed, paretic step length ratio, and four of the six secondary measures improved (p = 0.04-0.05, effect sizes = 0.19-0.60). Within the manual group, only balance scores improved (p = 0.02, effect size = 0.57). Group differences between fast and slow training groups were not revealed (p > or = 0.28). CONCLUSION: Results suggest that Lokomat training may have advantages over manual-BWSTT following a modest intervention dose in chronic hemiparetic persons and further, that our training speeds produce similar gait improvements. Suggestions for a larger randomized controlled trial with optimal study parameters are provided.
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Predicting the Probability for Falls in Community-Dwelling Older Adults
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Robot-assisted Therapy in Stroke Rehabilitation
Chang, W. H., & Kim, Y.-H. (2013) · Journal of Stroke · doi:10.5853/jos.2013.15.3.174 · Cited by 499
Efficacy of rehabilitation robotics for walking training in neurological disorders: A review
Tefertiller, C., Pharo, B., Evans, N., & Winchester, P. (2011) · The Journal of Rehabilitation Research and Development · doi:10.1682/jrrd.2010.04.0055 · Cited by 167
Cao, J., Xie, S. Q., Das, R., & Zhu, G. L. (2014) · Medical Engineering & Physics · doi:10.1016/j.medengphy.2014.08.005 · Cited by 153
Adaptive oscillators with human-in-the-loop: Proof of concept for assistance and rehabilitation
Ronsse, R., Vitiello, N., Lenzi, T., van den Kieboom, J., Chiara Carrozza, M., & Ijspeert, A. J. (2010) · 2010 3rd IEEE RAS & EMBS International Conference on Biomedical Robotics and Biomechatronics · doi:10.1109/biorob.2010.5628021 · Cited by 52
Metadata
- Authors
- Westlake, K. P., & Patten, C.
- Venue
- Journal of NeuroEngineering and Rehabilitation
- Published
- 2009-06-12
- Volume
- 6
- Issue
- 1
- Pages
- 18-18
- ISSN
- 1743-0003 (ISSN-L)
- OpenAlex
- W1982773162
- Cited by
- 330
- References
- 44
- FWCI
- 20.33
- Type
- journal article
- Language
- en
- Open access
- gold
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