Agreement Between the GAITRite Walkway System and a Stopwatch-footfall Count Method for Measurement of Temporal and Spatial Gait Parameters
Overview
Authors
Affiliations
Objective: To determine the agreement for measurements of stride length, cadence, and walking speed obtained from the GAITRite system and the stopwatch-footfall count technique.
Design: Criterion standard.
Setting: Research laboratory in a physical therapy education program.
Participants: Forty healthy volunteers (13 men, 27 women) without lower-extremity injury.
Interventions: Participants walked across a GAITRite mat with embedded pressure sensors at their self-selected walking speed. Simultaneously, an examiner used a stopwatch to record the elapsed time necessary to cross the mat and counted the number of complete footfalls.
Main Outcome Measures: Walking speed, cadence, and stride-length measures were compared between the GAITRite system and the stopwatch-footfall count technique.
Results: Correlation coefficients comparing both systems were .97 for walking speed, .75 for cadence, and .85 for stride length. Ninety-five percent of the time we would expect the between-methods differences to range between .09 and -.05m/s for walking speed, between -1.5 and -24.3 steps/min for cadence, and between .01 and .37m for stride length.
Conclusions: This study shows that the GAITRite and stopwatch-footfall count methods lack clinically acceptable agreement for the measurements of cadence and stride length in a group of healthy volunteers walking at their self-selected speeds. Clinicians who require precise measurement of cadence and stride length should consider using the GAITRite system instead of the stopwatch-footfall count technique.
Sanders O, Wang B, Kontson K Sensors (Basel). 2024; 24(14.
PMID: 39065933 PMC: 11281155. DOI: 10.3390/s24144537.
Reference Values for Habitual and Fast Gait Speed in Singapore Adults Aged 21 to 80.
Yang M, Leung L, Lim Z, Ang R, Ip H, Lee X J Clin Med. 2024; 13(12).
PMID: 38930036 PMC: 11205154. DOI: 10.3390/jcm13123507.
Unobtrusive measurement of gait parameters using seismographs: An observational study.
Single M, Bruhin L, Naef A, Krack P, Nef T, Gerber S Sci Rep. 2024; 14(1):14487.
PMID: 38914628 PMC: 11196696. DOI: 10.1038/s41598-024-64508-4.
Single M, Bruhin L, Colombo A, Mori K, Gerber S, Lahr J Sensors (Basel). 2024; 24(4).
PMID: 38400329 PMC: 10893300. DOI: 10.3390/s24041172.
Pedestrian walking speed monitoring at street scale by an in-flight drone.
Jiao D, Fei T PeerJ Comput Sci. 2023; 9:e1226.
PMID: 37346670 PMC: 10280686. DOI: 10.7717/peerj-cs.1226.