Utilizing Entropy of Cadence to Optimize Cycling Rehabilitation in Individuals With Parkinson’s Disease

The findings show that PSADC paradigm promoted a greater improvement in motor function than NA dynamic cycling. These data will be used to develop a predictive model to optimize motor function improvement after cycling in individuals with PD.

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Publication Details

Journal
Neurorehabilitation and neural repair
Published
2024-08-05
DOI
https://doi.org/10.1177/15459683241268556
Citations
3
Primary Topic
Muscle activation and electromyography studies
Type
article
Field-Weighted Citation Impact
0.55

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article

Utilizing Entropy of Cadence to Optimize Cycling Rehabilitation in Individuals With Parkinson’s Disease

Angela L. Ridgel, Brittany Smith, Kenneth A. Loparo, Younguk Kim et al.
3 citations
Neurorehabilitation and neural repair
Muscle activation and electromyography studies
0.55
article

Utilizing Entropy of Cadence to Optimize Cycling Rehabilitation in Individuals With Parkinson’s Disease

Angela L. Ridgel, Brittany Smith, Kenneth A. Loparo, Younguk Kim, Lara Shigo, Aasef G. Shaikh
article en
3 citations

Abstract

The findings show that PSADC paradigm promoted a greater improvement in motor function than NA dynamic cycling. These data will be used to develop a predictive model to optimize motor function improvement after cycling in individuals with PD.

Neurorehabilitation and neural repairVol. 38(9)
Kent State University (US), University of Alabama at Birmingham (US), Louis Stokes Cleveland VA Medical Center (US), Case Western Reserve University (US)
Davis Phinney Foundation, Kent State University
Good health and well-being
Openalex Percentile: Top 38%
Muscle activation and electromyography studies
0.55
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