Accelerometer monitoring of home- and community-based ambulatory activity after stroke11A commercial party with a direct financial interest in the results of the research supporting this article has conferred or will confer a financial benefit on the author or 1 or more of the authors.
Abstract
Objectives To investigate the utility of a novel microprocessor-linked Step Watch Activity Monitor (SAM) to quantify ambulatory activity after stroke and to evaluate the validity and reliability of conventional accelerometers to measure free-living physical activity in this population.Design Cross-sectional with repeated measures of 2 separate 48-hour recordings in 17 persons wearing an ankle-mounted SAM and Caltrac, a hip-mounted mechanical accelerometer.Setting Home and community.Participants Seventeen subjects with chronic hemiparetic gait after stroke.Interventions Not applicable.Main outcome measures The SAM derived stride counts per day and Caltrac estimated the daily caloric expenditure of physical activity.Results SAM data revealed that stroke patients had a mean strides per day +/- standard deviation of 3035+/-1944 and demonstrated a broad range of daily activity profiles (400-6472 strides). SAM test-retest reliability was high across separate monitoring periods (r=.96, P<.001). Although Caltrac also revealed a broad range of daily activity calories (346+/-217 kcal/d; range, 83-1222 kcal/d), reliability was poor (r=.044, P=not significant) and Caltrac accounted for only 64% of the ambulatory activity quantified by the SAM.Conclusions Microprocessor-linked accelerometer monitoring, but not conventional accelerometers, are accurate and highly reliable for quantifying ambulatory activity levels in stroke patients. These findings support the utility of personal status monitoring of ambulatory activity as an outcomes instrument and metric in programs to increase physical activity and cardiovascular health after stroke.
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In stroke, the step counts and measures of upper extremity and physical activity were shown to be reliable.
“In stroke, the step counts and measures of upper extremity and physical activity were shown to be reliable [48, 49, 52, 56–59]”
From Wearable sensors for clinical applications in epilepsy, Parkinson’s disease, and stroke: A mixed-methods systematic review (2018) · cites this paper as [58]
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- Authors
- Haeuber, E., Shaughnessy, M., Forrester, L. W., Coleman, K. L., & Macko, R. F.
- Affiliations
- University of Maryland, Baltimore (US)
- Corresponding author
- Macko, Richard F.
- Venue
- Archives of Physical Medicine and Rehabilitation
- Publisher
- Elsevier BV
- Published
- 2004-12
- Volume
- 85
- Issue
- 12
- Pages
- 1997-2001
- ISSN
- 0003-9993 (ISSN-L)
- OpenAlex
- W2001604298
- Cited by
- 182
- References
- 46
- Citations by year
- 2026: 3 · 2025: 1 · 2024: 5 · 2023: 4 · 2022: 3 · 2021: 6 · 2020: 6 · 2019: 6 · 2018: 11 · 2017: 6 · 2016: 11 · 2015: 13 · 2014: 10 · 2013: 16 · 2012: 7
- FWCI
- 4.67
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Archives of Physical Medicine and Rehabilitation (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institute on Aging (R29AG014487)
- Topics
- Health Sciences › Medicine › Physiology › Physical Activity and Health
- Health Sciences › Medicine › Rehabilitation › Stroke Rehabilitation and Recovery
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
- Keywords
- stroke, ambulatory activity, accelerometer monitoring, hemiparesis, test-retest reliability, physical activity measurement, cardiovascular health
- MeSH terms
- Stroke Rehabilitation, Activities of Daily Living, Aged, Cross-Sectional Studies, Energy Metabolism, Feasibility Studies, Humans, Motor Activity, Reproducibility of Results, Monitoring, Ambulatory, Gait Disorders, Neurologic, Stroke
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