Test-Retest Reliability of Multiple Postural Control Assessment Measures

2017 ◽  
Vol 49 (5S) ◽  
pp. 314
Author(s):  
Megan E. Mormile ◽  
Brian J. Szekely ◽  
Katelyn E. Grimes ◽  
Brian J. Mizeski ◽  
Barry A. Munkasy ◽  
...  
Keyword(s):  
Postural Control ◽  
Retest Reliability ◽  
Assessment Measures ◽  
Test Retest Reliability

Test-Retest Reliability of Center of Pressure Measures for Postural Control Assessment in Older Cardiac Patients

2021 ◽  
Author(s):  
Jeanette Dobberke ◽  
Omar Baritello ◽  
Miralem Hadzic ◽  
Heinz Völler ◽  
Sarah Eichler ◽  
...  
Keyword(s):  
Postural Control ◽  
Center Of Pressure ◽  
Cardiac Patients ◽  
Retest Reliability ◽  
Test Retest Reliability

Test-Retest Reliability and Practice Effects of the Stability Evaluation Test

2017 ◽  
Vol 26 (3) ◽  
Author(s):  
Richelle M. Williams ◽  
Matthew A. Corvo ◽  
Kenneth C. Lam ◽  
Travis A. Williams ◽  
Lesley K. Gilmer ◽  
...  
Keyword(s):  
Postural Control ◽  
Repeated Measures ◽  
Healthy Adults ◽  
Composite Score ◽  
Practice Effects ◽  
Stability Evaluation ◽  
Retest Reliability ◽  
Evaluation Test ◽  
The Stability ◽  
Test Retest Reliability

Context: Postural control plays an essential role in concussion evaluation. The Stability Evaluation Test (SET) aims to objectively analyze postural control by measuring sway velocity on the NeuroCom VSR portable force platform (Natus, San Carlos, CA). Objective: To assess the test-retest reliability and practice effects of the SET protocol. Design: Cohort. Setting: Research laboratory. Patients or Other Participants: 50 healthy adults (20 men, 30 women, age 25.30 ± 3.60 y, height 166.60± 12.80 cm, mass 68.80 ± 13.90 kg). Interventions: All participants completed 4 trials of the SET. Each trial consisted of six 20-s balance tests with eyes closed, under the following conditions: double-leg firm (DFi), single-leg firm (SFi), tandem firm (TFi), double-leg foam (DFo), single-leg foam (SFo), and tandem foam (TFo). Each trial was separated by a 5-min seated rest period. Main Outcome Measures: The dependent variable was sway velocity (deg/s), with lower values indicating better balance. Sway velocity was recorded for each of the 6 conditions as well as a composite score for each trial. Test-retest reliability was analyzed across 4 trials with intraclass correlation coefficients (ICCs). Practice effects analyzed with repeated measures analysis of variance, followed by Tukey post hoc comparisons for any significant main effects (P < .05). Results: Sway-velocity reliability values were good to excellent: DFi (ICC = .88; 95%CI: .81, .92), SFi (ICC = .75; 95%CI: .61, .85), TFi (ICC = .84; 95%CI: .75, .90), DFo (ICC = .83; 95%CI: .74, .90), SFo (ICC = .82; 95%CI: .72, .89), TFo (ICC = .81; 95%CI: .69, .88), and composite score (ICC = .93; 95%CI: .88, .95). Significant practice effects (P < .05) were noted on the SFi, DFo, SFo, TFo conditions and composite scores. Conclusions: Our results suggest the SET has good to excellent reliability for the assessment of postural control in healthy adults. Due to the practice effects noted, a familiarization session is recommended (ie, all 6 conditions) before data are recorded. Future studies should evaluate injured patients to determine meaningful change scores during various injuries.

Test–Retest Reliability of Robotic Assessment Measures for the Evaluation of Upper Limb Recovery

2014 ◽  
Vol 22 (5) ◽  
pp. 1020-1029 ◽  
Author(s):  
Roberto Colombo ◽  
Ivana Cusmano ◽  
Irma Sterpi ◽  
Alessandra Mazzone ◽  
Carmen Delconte ◽  
...  
Keyword(s):  
Upper Limb ◽  
Retest Reliability ◽  
Assessment Measures ◽  
Test Retest Reliability

Postural Control in Standing Following Stroke: Test-Retest Reliability of Some Quantitative Clinical Tests

1990 ◽  
Vol 70 (4) ◽  
pp. 234-243 ◽  
Author(s):  
Patricia A Goldie ◽  
Thomas A Matyas ◽  
Kay I Spencer ◽  
Ronnie B McGinley
Keyword(s):  
Postural Control ◽  
Clinical Tests ◽  
Retest Reliability ◽  
Test Retest Reliability

scholarly journals TEST-RETEST RELIABILITY OF WAVELET-BASED SPECIFIC FREQUENCY BANDS OF POSTURAL CONTROL DURING TWO STANDING TASK CONDITIONS

2020 ◽  
Vol 7 (4) ◽  
Author(s):  
SAYYED HAMED FAZELI ◽  
MOHAMMAD AKBARI ◽  
ISMAIL EBRAHIMI TAKAMJANI ◽  
HOLAKOO MOHSENIFAR ◽  
MOHSEN SADEGHI-NAINI
Keyword(s):  
Postural Control ◽  
Retest Reliability ◽  
Frequency Bands ◽  
Specific Frequency ◽  
Task Conditions ◽  
Test Retest Reliability

scholarly journals Test-retest reliability of static postural control in people with multiple sclerosis

2017 ◽  
Vol 29 (8) ◽  
pp. 1399-1404 ◽  
Author(s):  
Maria Mercedes Reguera-García ◽  
Fernanda de Souza-Teixeira ◽  
Jose Antonio de Paz Fernández
Keyword(s):  
Multiple Sclerosis ◽  
Postural Control ◽  
Retest Reliability ◽  
Test Retest Reliability

The Comparison of a Virtual Reality Headset and Force plate to Investigate Human Postural Control (Preprint)

2020 ◽  
Author(s):  
Brian Sylcott ◽  
Chia-Cheng Lin ◽  
Keith Williams ◽  
Mark Hinderaker
Keyword(s):  
Virtual Reality ◽  
Postural Control ◽  
Postural Sway ◽  
Center Of Pressure ◽  
Low Cost ◽  
Intraclass Correlation ◽  
Force Plate ◽  
Retest Reliability ◽  
Position Data ◽  
Test Retest Reliability

BACKGROUND Accurately measuring postural sway is an important part of balance assessment and rehabilitation. While force plates give accurate measurements, their cost and space requirements make their use impractical in many situations. OBJECTIVE The work presented here is aimed at addressing this issue by validating a virtual reality (VR) headset as a relatively low-cost alternative for postural sway measurement. The HTC Vive (VR) headset has built-in sensors that allow for position and orientation tracking making it a potentially effective tool for balance assessments. METHODS Participants in this study were asked to stand upright on a force plate (Neurocom platform) while wearing the HTC ViveTM. Position data was collected from the headset and force plate simultaneously as participants experienced a custom-built VR environment that covered their entire field of view. The Intraclass Correlation Coefficient (ICC) was used to examined the test-retest reliability on the postural control variables, including normalized path length (NPL), root-mean-square (RMS), and peak-to-peak (P2P), computed from the VR position output and the center of pressure (COP) data from the force plate. Liner regression were used to investigate the correlation between the VR and force plate measurements. RESULTS Results showed that the test-retest reliability of VR headset was similar to COP in RMS and P2P, ranging from .285 to .636 in VR and .228 to .759. Linear regression between VR and COP measures showed significant correlation in RMS and P2P. CONCLUSIONS Based on our results, the VR headset has potential for use in postural control measurements. However, further development of software and testing protocols for balance assessments is needed.

scholarly journals NOVEL REMOTE ASSESSMENT OF THE STANDING POSTURAL CONTROL IN YOUNGER AND OLDER ADULTS USING SMARTPHONE APPLICATION

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S334-S335
Author(s):  
Junhong Zhou ◽  
Wanting Yu ◽  
Hao Zhu ◽  
On-Yee Lo ◽  
Thomas Travison ◽  
...  
Keyword(s):  
Older Adults ◽  
Postural Control ◽  
Assessment Tool ◽  
Postural Sway ◽  
Smartphone Application ◽  
Valuable Insight ◽  
Motion Sensors ◽  
Retest Reliability ◽  
Eyes Closed ◽  
Test Retest Reliability

Abstract In older adults, assessment of standing postural control under various task and/or environmental conditions provides valuable insight into cognitive-motor function. To date, however, such assessments have been limited primarily to laboratory or clinical settings. We therefore created a smartphone App to enable remote assessments of postural control. This App provides users with standardized multi-media instructions and harnesses the phone’s internal motion sensors to capture postural sway, with the phone placed in the user’s pants pocket, during trials of standing with eyes open, eyes-closed, and while performing serial-subtractions (i.e., dual tasking). We then established the test-retest reliability of several metrics of postural sway derived from this assessment tool, as well as their sensitivity to the effect of age and standing condition. Fifteen healthy younger and 15 older adults completed multiple standing trials in two separate laboratory visits and on three separate days in their own homes. Postural sway metrics included the mean distance from the center of the trajectory and root mean square were derived from both transverse-plane acceleration and angular velocity time series. Each sway metric demonstrated excellent test-retest reliability, even when analyzed separately by group and standing condition (ICCs: 0.78-0.89). Moreover, each metric was sensitive to age group and standing condition, such that greater sway was observed in older adults as compared to younger adults (p&lt;0.03), and in more challenging standing conditions (p&lt;0.0001). These results suggest that sensitive metrics of standing postural control may be reliably obtained from remote smartphone-based assessments in both younger and older adults.

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