Yasumasa Nishikawa
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Research Interests
Yasumasa Nishikawa has a total of 6 co-authors. Here are the top co-authors by number of shared publications:
- Atsushi Sugawara
Department of Neurosurgery, Iwate Medical University School of Medicine, Morioka, Iwate, Japan
1 shared publication - Kuniaki Ogasawara
Department of Neurosurgery, School of Medicine, Iwate Medical University, Yahaba, Japan
1 shared publication - Shinpei Sato
Department of Neurosurgery, Iwate Medical University, 1-1-1 Idaidori, Yahaba, Iwate 028-3695, Japan
1 shared publication - Shunrou Fujiwara
From the Department of Neurosurgery (K.K., Y.A, K.F., M.K, T.K., K.Y., K.O.), the Centre for Division of Ultrahigh Field MRI, Institute for Biomedical Sciences (I.U., M.S), the Division of Molecular and Cellular Pharmacology, Department of Pathophysiology (S.F.), and the Cyclotron Research Center (K.T.), Iwate Medical University, Yahaba, Japan
1 shared publication - Takahiro Koji
Department of Neurosurgery, Iwate Medical University, 1-1-1 Idaidori, Yahaba 028-3695, Iwate, Japan
1 shared publication - Yukihide Nishimura
Department of Rehabilitation Medicine, Iwate Medical University, Iwate, Japan
1 shared publication
Latest Publications
- Open Access
The Coefficient of Variation of Step Time Can Overestimate Gait Abnormality: Test-Retest Reliability of Gait-Related Parameters Obtained with a Tri-Axial Accelerometer in Healthy Subjects
The aim of this study was to investigate whether variation in gait-related parameters among healthy participants could help detect gait abnormalities. In total, 36 participants (21 men, 15 women; mean age, 35.7 ± 9.9 years) performed a 10-m walk six times while wearing a tri-axial accelerometer fixed at the L3 level. A second walk was performed ≥1 month after the first (mean interval, 49.6 ± 7.6 days). From each 10-m data set, the following nine gait-related parameters were automatically calculated: assessment time, number of steps, stride time, cadence, ground force reaction, step time, coefficient of variation (CV) of step time, velocity, and step length. Six repeated measurement values were averaged for each gait parameter. In addition, for each gait parameter, the difference between the first and second assessments was statistically examined, and the intraclass correlation coefficient (ICC) was calculated with the level of significance set at p < 0.05. Only the CV of step time showed a significant difference between the first and second assessments (p = 0.0188). The CV of step time also showed the lowest ICC, at <0.50 (0.425), among all parameters. Test–retest results of gait assessment using a tri-axial accelerometer showed sufficient reproducibility in terms of the clinical evaluation of all parameters except the CV of step time.
Open AccessThe Coefficient of Variation of Step Time Can Overestimate Gait Abnormality: Test-Retest Reliability of Gait-Related Parameters Obtained with a Tri-Axial Accelerometer in Healthy Subjects
The aim of this study was to investigate whether variation in gait-related parameters among healthy participants could help detect gait abnormalities. In total, 36 participants (21 men, 15 women; mean age, 35.7 ± 9.9 years) performed a 10-m walk six times while wearing a tri-axial accelerometer fixed at the L3 level. A second walk was performed ≥1 month after the first (mean interval, 49.6 ± 7.6 days). From each 10-m data set, the following nine gait-related parameters were automatically calculated: assessment time, number of steps, stride time, cadence, ground force reaction, step time, coefficient of variation (CV) of step time, velocity, and step length. Six repeated measurement values were averaged for each gait parameter. In addition, for each gait parameter, the difference between the first and second assessments was statistically examined, and the intraclass correlation coefficient (ICC) was calculated with the level of significance set at p < 0.05. Only the CV of step time showed a significant difference between the first and second assessments (p = 0.0188). The CV of step time also showed the lowest ICC, at <0.50 (0.425), among all parameters. Test–retest results of gait assessment using a tri-axial accelerometer showed sufficient reproducibility in terms of the clinical evaluation of all parameters except the CV of step time.