scholarly journals Concurrent Validity Of A Gait Analysis Application Vs. Slow-motion Video For The Assessment Of A 400 M Walk Test

2018 ◽  
Vol 50 (5S) ◽  
pp. 817
Author(s):  
Nathan W. Saunders ◽  
Alexandra Colacino ◽  
Meghan Hess ◽  
Brianna Gassman ◽  
Uriel Ibarra-Moreno ◽  
...  
Physiotherapy ◽  
1997 ◽  
Vol 83 (3) ◽  
pp. 109-115 ◽  
Author(s):  
James C Wall ◽  
Jack Crosbie

Sensors ◽  
2021 ◽  
Vol 21 (22) ◽  
pp. 7497
Author(s):  
Roy T. Shahar ◽  
Maayan Agmon

Spatio-temporal parameters of human gait, currently measured using different methods, provide valuable information on health. Inertial Measurement Units (IMUs) are one such method of gait analysis, with smartphone IMUs serving as a good substitute for current gold-standard techniques. Here we investigate the concurrent validity of a smartphone placed in a front-facing pocket to perform gait analysis. Sixty community-dwelling healthy adults equipped with a smartphone and an application for gait analysis completed a 2-min walk on a marked path. Concurrent validity was assessed against an APDM mobility lab (APDM Inc.; Portland, OR, USA). Bland–Altman plots and intraclass correlation coefficients (agreement and consistency) for gait speed, cadence, and step length indicate good to excellent agreement (ICC2,1 > 0.8). For right leg stance and swing % of gait cycle and double support % of gait cycle, results were moderate (0.52 < ICC2,1 < 0.62). For left leg stance and swing % of gait cycle left results show poor agreement (ICC2,1 < 0.5). Consistency of results was good to excellent for all tested parameters (ICC3,1 > 0.8). Thus we have a valid and reliable instrument for measuring healthy adults’ spatio-temporal gait parameters in a controlled walking environment.


2019 ◽  
Vol 33 (10) ◽  
pp. 1682-1687 ◽  
Author(s):  
Christian Werner ◽  
Georgia Chalvatzaki ◽  
Xanthi S Papageorgiou ◽  
Costas S Tzafestas ◽  
Jürgen M Bauer ◽  
...  

Objective: To assess the concurrent validity of a smart walker–integrated gait analysis system with the GAITRite® system for measuring spatiotemporal gait parameters in potential users of the smart walker. Design: Criterion standard validation study. Setting: Research laboratory in a geriatric hospital. Participants: Twenty-five older adults (⩾65 years) with gait impairments (habitual rollator use and/or gait speed <0.6 m/s) and no severe cognitive impairment (Mini-Mental State Examination ⩾17). Main measures: Stride, swing and stance time; stride length; and gait speed were simultaneously recorded using the smart walker–integrated gait analysis system and the GAITRite system while participants walked along a 7.8-m walkway with the smart walker. Concurrent criterion-related validity was assessed using the Bland–Altman method, percentage errors (acceptable if <30%), and intraclass correlation coefficients for consistency (ICC3,1) and absolute agreement (ICC2,1). Results: Bias for stride, swing and stance time ranged from −0.04 to 0.04 seconds, with acceptable percentage errors (8.7%–23.0%). Stride length and gait speed showed higher bias (meanbias (SD) = 0.20 (0.11) m; 0.19 (0.13) m/s) and not acceptable percentage errors (31.3%–42.3%). Limits of agreement were considerably narrower for temporal than for spatial-related gait parameters. All gait parameters showed good-to-excellent consistency (ICC3,1 = 0.72–0.97). Absolute agreement was good-to-excellent for temporal (ICC2,1 = 0.72–0.97) but only poor-to-fair for spatial-related gait parameters (ICC2,1 = 0.37–0.52). Conclusion: The smart walker–integrated gait analysis system has good concurrent validity with the GAITRite system for measuring temporal but not spatial-related gait parameters in potential end-users of the smart walker. Stride length and gait speed can be measured with good consistency, but with only limited absolute accuracy.


1968 ◽  
Vol 77 (12) ◽  
pp. 1300-1302 ◽  
Author(s):  
Clarence Boice

2013 ◽  
Vol 127 (7) ◽  
pp. 650-655 ◽  
Author(s):  
A M Augustine ◽  
L Varghese ◽  
R C Michael ◽  
R R Albert ◽  
A Job

AbstractObjective:To assess the efficacy of dynamic slow motion video endoscopy as a test of eustachian tube function based on its correlation with the eustachian tube swallow test.Method:The eustachian tube swallow test and dynamic slow motion video endoscopy were performed on 100 clinically normal middle ears of adults undergoing rigid nasal endoscopy for various indications. The dynamic slow motion video endoscopy findings were interpreted by three observers who were blind to the results of the eustachian tube swallow test, and the findings of both techniques were compared.Results:There was a statistically significant correlation between the dynamic slow motion video endoscopy and eustachian tube swallow test results for some of the more lenient criteria. Five of the 100 eustachian tubes had a floppy medial cartilaginous lamina which appeared to contribute to the eustachian tube dysfunction.Conclusion:Dynamic slow motion video endoscopy appeared to over-diagnose eustachian tube dysfunction when used as a standalone test of eustachian tube function. However, when used in combination with other tests of eustachian tube function, it can provide valuable information regarding the structural and functional status of the pharyngeal end of the eustachian tube.


2016 ◽  
Vol 113 (33) ◽  
pp. 9250-9255 ◽  
Author(s):  
Eugene M. Caruso ◽  
Zachary C. Burns ◽  
Benjamin A. Converse

To determine the appropriate punishment for a harmful action, people must often make inferences about the transgressor’s intent. In courtrooms and popular media, such inferences increasingly rely on video evidence, which is often played in “slow motion.” Four experiments (n = 1,610) involving real surveillance footage from a murder or broadcast replays of violent contact in professional football demonstrate that viewing an action in slow motion, compared with regular speed, can cause viewers to perceive an action as more intentional. This slow motion intentionality bias occurred, in part, because slow motion video caused participants to feel like the actor had more time to act, even when they knew how much clock time had actually elapsed. Four additional experiments (n = 2,737) reveal that allowing viewers to see both regular speed and slow motion replay mitigates the bias, but does not eliminate it. We conclude that an empirical understanding of the effect of slow motion on mental state attribution should inform the life-or-death decisions that are currently based on tacit assumptions about the objectivity of human perception.


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