Test-Retest Reliability of an Automated Infrared-Assisted Trunk Accelerometer-Based Gait Analysis System
| Autor: | Cheng-Shiang Yau, Yuh-Show Tsai, Chu-Ming Wu, Chia-Yu Hsu, Hung-Hai Shie |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
Adult
Male 030506 rehabilitation medicine.medical_specialty STRIDE Walking Accelerometer gait lcsh:Chemical technology Biochemistry Article Analytical Chemistry 03 medical and health sciences 0302 clinical medicine Gait (human) Physical medicine and rehabilitation medicine accelerometry Humans lcsh:TP1-1185 Electrical and Electronic Engineering Instrumentation Postural Balance Simulation Mathematics Aged Monitoring Physiologic reliability trunk acceleration Middle Aged Trunk Atomic and Molecular Physics and Optics Confidence interval Biomechanical Phenomena Preferred walking speed Gait analysis infrared Female 0305 other medical science Cadence human activities 030217 neurology & neurosurgery |
| Zdroj: | Sensors, Vol 16, Iss 8, p 1156 (2016) Sensors (Basel, Switzerland) Sensors; Volume 16; Issue 8; Pages: 1156 |
| ISSN: | 1424-8220 |
| Popis: | The aim of this study was to determine the test-retest reliability of an automated infrared-assisted, trunk accelerometer-based gait analysis system for measuring gait parameters of healthy subjects in a hospital. Thirty-five participants (28 of them females; age range, 23–79 years) performed a 5-m walk twice using an accelerometer-based gait analysis system with infrared assist. Measurements of spatiotemporal gait parameters (walking speed, step length, and cadence) and trunk control (gait symmetry, gait regularity, acceleration root mean square (RMS), and acceleration root mean square ratio (RMSR)) were recorded in two separate walking tests conducted 1 week apart. Relative and absolute test-retest reliability was determined by calculating the intra-class correlation coefficient (ICC3,1) and smallest detectable difference (SDD), respectively. The test-retest reliability was excellent for walking speed (ICC = 0.87, 95% confidence interval = 0.74–0.93, SDD = 13.4%), step length (ICC = 0.81, 95% confidence interval = 0.63–0.91, SDD = 12.2%), cadence (ICC = 0.81, 95% confidence interval = 0.63–0.91, SDD = 10.8%), and trunk control (step and stride regularity in anterior-posterior direction, acceleration RMS and acceleration RMSR in medial-lateral direction, and acceleration RMS and stride regularity in vertical direction). An automated infrared-assisted, trunk accelerometer-based gait analysis system is a reliable tool for measuring gait parameters in the hospital environment. |
| Databáze: | OpenAIRE |
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