Homecare gait parameter collection

2014 ◽  
Author(s):  
Wann-Yun Shieh ◽  
Diana Guu
Keyword(s):  
Gait Parameter

scholarly journals Spatiotemporal Gait Parameter Changes Due to Exposure to Vertical Whole-Body Vibration

2021 ◽  
Author(s):  
Alex Moorhead ◽  
Delphine Chadefaux ◽  
Matteo Zago ◽  
Stefano Marelli ◽  
Enrico Marchetti ◽  
...  
Keyword(s):  
Whole Body Vibration ◽  
Gait Parameter ◽  
Whole Body ◽  
Body Vibration ◽  
Spatiotemporal Gait Parameter

Knee pain in people aged 80 years and older is not associated with gait parameter and functional performance

2003 ◽  
Vol 26 (2) ◽  
pp. 131-136 ◽  
Author(s):  
Yasunori Nagano ◽  
Toshiaki Takahashi ◽  
Kenji Ishida ◽  
Daisuke Hirose ◽  
Kiyohito Okumiya ◽  
...  
Keyword(s):  
Knee Pain ◽  
Functional Performance ◽  
Gait Parameter

scholarly journals Which gait parameter can be used to evaluate gait improvement in multiple sclerosis?

2016 ◽  
Vol 59 ◽  
pp. e118
Author(s):  
Pierre Decavel ◽  
Thierry Moulin ◽  
Yoshimasa Sagawa
Keyword(s):  
Multiple Sclerosis ◽  
Gait Parameter

Gait parameter adjustments of cotton-top tamarins (Saguinus oedipus, Callitrichidae) to locomotion on inclined arboreal substrates

2008 ◽  
Vol 135 (1) ◽  
pp. 13-26 ◽  
Author(s):  
John A. Nyakatura ◽  
Martin S. Fischer ◽  
Manuela Schmidt
Keyword(s):  
Gait Parameter ◽  
Saguinus Oedipus

scholarly journals 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

Sensors ◽  
2020 ◽  
Vol 20 (3) ◽  
pp. 577 ◽  
Author(s):  
Shunrou Fujiwara ◽  
Shinpei Sato ◽  
Atsushi Sugawara ◽  
Yasumasa Nishikawa ◽  
Takahiro Koji ◽  
...  
Keyword(s):  
Coefficient Of Variation ◽  
Intraclass Correlation ◽  
Step Length ◽  
Gait Parameter ◽  
Data Set ◽  
Gait Abnormality ◽  
Significant Difference ◽  
Assessment Time ◽  
The Difference ◽  
Gait Abnormalities

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.

Assessment of the best gait parameter in relation to bone status in community-dwelling young–old and old–old women in Japan

2009 ◽  
Vol 49 (1) ◽  
pp. 158-161 ◽  
Author(s):  
Wei Sun ◽  
Misuzu Watanabe ◽  
Yoshimi Tanimoto ◽  
Rei Kono ◽  
Masahisa Saito ◽  
...  
Keyword(s):  
Community Dwelling ◽  
Gait Parameter ◽  
Bone Status ◽  
Young Old

scholarly journals Gait Parameter Acquisition While Chasing Resident Using Home Robot

2017 ◽  
Vol 188 ◽  
pp. 141-147 ◽  
Author(s):  
Masahiro Iida ◽  
Akira Mita
Keyword(s):  
Gait Parameter ◽  
Home Robot
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