Assessment of Accelerometers for Measuring Upper-Extremity Physical Activity.

TitleAssessment of Accelerometers for Measuring Upper-Extremity Physical Activity.
Publication TypeJournal Article
Year of Publication2015
AuthorsLawinger E, Uhl TL, Abel M, Kamineni S
JournalJ Sport Rehabil
Volume24
Issue3
Pagination236-43
Date Published2015 Aug
ISSN1543-3072
KeywordsAccelerometry, Activities of Daily Living, Adult, Cross-Sectional Studies, Exercise Therapy, Female, Humans, Male, Motor Activity, Patient Compliance, Upper Extremity, Young Adult
Abstract

OBJECTIVE: The overarching goal of this study was to examine the use of triaxial accelerometers in measuring upper-extremity motions to monitor upper-extremity-exercise compliance. There were multiple questions investigated, but the primary objective was to investigate the correlation between visually observed arm motions and triaxial accelerometer activity counts to establish fundamental activity counts for the upper extremity.

STUDY DESIGN: Cross-sectional, basic research.

SETTING: Clinical laboratory.

PARTICIPANTS: Thirty healthy individuals age 26 ± 6 y, body mass 24 ± 3 kg, and height 1.68 ± 0.09 m volunteered.

INTERVENTION: Participants performed 3 series of tasks: activities of daily living (ADLs), rehabilitation exercises, and passive shoulder range of motion at 5 specific velocities on an isokinetic dynamometer while wearing an accelerometer on each wrist. Participants performed exercises with their dominant arm to examine differences between sides. A researcher visually counted all arm motions to correlate counts with physical activity counts provided by the accelerometer.

MAIN OUTCOME MEASURE: Physical activity counts derived from the accelerometer and visually observed activity counts recorded from a single investigator.

RESULTS: There was a strong positive correlation (r = .93, P < .01) between accelerometer physical activity counts and visual activity counts for all ADLs. Accelerometers activity counts demonstrated side-to-side difference for all ADLs (P < .001) and 5 of the 7 rehabilitation activities (P < .003). All velocities tested on the isokinetic dynamometer were shown to be significantly different from each other (P < .001).

CONCLUSION: There is a linear relationship between arm motions counted visually and the physical activity counts generated by an accelerometer, indicating that arm motions could be potentially accounted for if monitoring arm usage. The accelerometers can detect differences in relatively slow arm-movement velocities, which is critical if attempting to evaluate exercise compliance during early phases of shoulder rehabilitation. These results provide fundamental information that indicates that triaxial accelerometers have the potential to objectively monitor and measure arm activities during rehabilitation and ADLs.

DOI
Alternate JournalJ Sport Rehabil
PubMed ID25803521