scholarly journals Inter-trial and test–retest reliability of kinematic and kinetic gait parameters among subjects with adolescent idiopathic scoliosis

2007 ◽  
Vol 17 (2) ◽  
pp. 204-216 ◽  
Author(s):  
Carole Fortin ◽  
Sylvie Nadeau ◽  
Hubert Labelle
2008 ◽  
Vol 28 (3) ◽  
pp. 392-396 ◽  
Author(s):  
Joanne E. Wittwer ◽  
Kate E. Webster ◽  
Peta T. Andrews ◽  
Hylton B. Menz

2021 ◽  
pp. 1-8
Author(s):  
Ya-Yun Lee ◽  
Ming-Hao Li ◽  
Jer-Junn Luh ◽  
Chun-Hwei Tai

BACKGROUND: Recent advances in technology have warranted the use of wearable sensors to monitor gait and posture. However, the psychometric properties of using wearable devices to measure gait-related outcomes have not been fully established in patients with Parkinson’s disease (PD). OBJECTIVE: This study aimed to investigate the test-retest reliability of body-worn sensors for gait evaluation in people with PD. Additionally, the influence of disease severity on the reliability was determined. METHODS: Twenty individuals with PD were recruited. During the first evaluation, the participants wore inertial sensors on their shoes and walked along a walkway thrice at their comfortable walking speed. The participants were then required to return to the lab after 3–5 days to complete the second evaluation with the same study procedure. Test-retest reliability of gait-related outcomes were calculated. To determine whether the results would be affected by disease severity, reliability was re-calculated by subdividing the participants into early and mid-advanced stages of the disease. RESULTS: The results showed moderate to good reliability (ICC = 0.64–0.87) of the wearable sensors for gait assessment in the general population with PD. Subgroup analysis showed that the reliability was higher among patients at early stages (ICC = 0.71–0.97) compared to those at mid-advanced stages (ICC = 0.65–0.81) of PD. CONCLUSIONS: Wearable sensors could reliably measure gait parameters in people with PD, and the reliability was higher among individuals at early stages of the disease compared to those at mid-advanced stages. Absolute reliability values were calculated to act as references for future studies.


Sensors ◽  
2020 ◽  
Vol 20 (17) ◽  
pp. 4866
Author(s):  
Christian Werner ◽  
Patrick Heldmann ◽  
Saskia Hummel ◽  
Laura Bauknecht ◽  
Jürgen M. Bauer ◽  
...  

Body-fixed sensor (BFS) technology offers portable, low-cost and easy-to-use alternatives to laboratory-bound equipment for analyzing an individual’s gait. Psychometric properties of single BFS systems for gait analysis in older adults who require a rollator for walking are, however, unknown. The study’s aim was to evaluate the concurrent validity, test-retest-reliability, and sensitivity to change of a BFS (DynaPort MoveTest; McRoberts B.V., The Hague, The Netherlands) for measuring gait parameters during rollator-assisted walking. Fifty-eight acutely hospitalized older patients equipped with the BFS at the lower back completed a 10 m walkway using a rollator. Concurrent validity was assessed against the Mobility Lab (APDM Inc.; Portland, OR, USA), test-retest reliability over two trials within a 15 min period, and sensitivity to change in patients with improved, stable and worsened 4 m usual gait speed over hospital stay. Bland–Altman plots and intraclass correlation coefficients (ICC) for gait speed, cadence, step length, step time, and walk ratio indicate good to excellent agreement between the BFS and the Mobility Lab (ICC2,1 = 0.87–0.99) and the repeated trials (ICC2,1 = 0.83–0.92). Moderate to large standardized response means were observed in improved (gait speed, cadence, step length, walk ratio: 0.62–0.99) and worsened patients (gait speed, cadence, step time: −0.52 to −0.85), while those in stable patients were trivial to small (all gait parameters: −0.04–0.40). The BFS appears to be a valid, reliable and sensitive instrument for measuring spatio-temporal gait parameters during rollator-assisted walking in geriatric patients.


2018 ◽  
Vol 18 (12) ◽  
pp. 2247-2258 ◽  
Author(s):  
Pierre-Henri Heitz ◽  
Jean-François Aubin-Fournier ◽  
Éric Parent ◽  
Carole Fortin

Sensors ◽  
2020 ◽  
Vol 20 (11) ◽  
pp. 3216
Author(s):  
Daphne J. Geerse ◽  
Bert Coolen ◽  
Melvyn Roerdink

Microsoft’s HoloLens, a mixed-reality headset, provides, besides holograms, rich position data of the head, which can be used to quantify what the wearer is doing (e.g., walking) and to parameterize such acts (e.g., speed). The aim of the current study is to determine test-retest reliability, concurrent validity, and face validity of HoloLens 1 for quantifying spatiotemporal gait parameters. This was done in a group of 23 healthy young adults (mean age 21 years) walking at slow, comfortable, and fast speeds, as well as in a group of 24 people with Parkinson’s disease (mean age 67 years) walking at comfortable speed. Walking was concurrently measured with HoloLens 1 and a previously validated markerless reference motion-registration system. We comprehensively evaluated HoloLens 1 for parameterizing walking (i.e., walking speed, step length and cadence) in terms of test-retest reliability (i.e., consistency over repetitions) and concurrent validity (i.e., between-systems agreement), using the intraclass correlation coefficient (ICC) and Bland–Altman’s bias and limits of agreement. Test-retest reliability and between-systems agreement were excellent for walking speed (ICC ≥ 0.861), step length (ICC ≥ 0.884), and cadence (ICC ≥ 0.765), with narrower between-systems than over-repetitions limits of agreement. Face validity was demonstrated with significantly different walking speeds, step lengths and cadences over walking-speed conditions. To conclude, walking speed, step length, and cadence can be reliably and validly quantified from the position data of the wearable HoloLens 1 measurement system, not only for a broad range of speeds in healthy young adults, but also for self-selected comfortable speed in people with Parkinson’s disease.


Sign in / Sign up

Export Citation Format

Share Document