Predictive value of upper-limb accelerometry in acute stroke with hemiparesis
Abstract
Few studies have investigated how well early activity measurements by accelerometers predict recovery after stroke. First, we assessed the predictive value of accelerometer-based measurements of upper-limb activity in patients with acute stroke with a hemiplegic arm. Second, we established the difference in arm activity between hospitalized stroke and nonstroke patients. In total, 129 patients with acute stroke and 19 controls participated. Activity of the upper limbs was monitored for 48 h, and these data were used to determine the predictive value of the activity variables compared with the modified Rankin Scale (mRS), which was assessed at 3 mo poststroke onset. The sensitivity and specificity in relation to the mRS were 0.80 and 0.77, respectively, for the activity of impaired arm (AIA) and 0.85 and 0.75, respectively, for the ratio variable calculated by dividing the AIA by the activity of the nonimpaired arm. The corresponding cutoff values were 597,546 counts for AIA and 0.33 for the ratio. The predictive value of AIA combined with age was 85% to the disability status defined as an mRS score of 2 or less.
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In stroke, upper extremity activity, walking, and physical activity levels were investigated using step and activity counts.
“In stroke, upper extremity activity [40–51], walking, and physical activity levels were investigated in several studies using step and activity counts [52–62].”
From Wearable sensors for clinical applications in epilepsy, Parkinson’s disease, and stroke: A mixed-methods systematic review (2018) · cites this paper as [41]
Upper extremity activity measures derived from accelerometers discriminated well between persons with stroke and healthy controls.
“Upper extremity activity measures derived from accelerometers discriminated well between persons with stroke and healthy controls [41, 42, 44, 50] as well as between patients with different impairment levels [40, 41].”
From Wearable sensors for clinical applications in epilepsy, Parkinson’s disease, and stroke: A mixed-methods systematic review (2018) · cites this paper as [41]
Upper extremity activity measures derived from accelerometers discriminated well between patients with different impairment levels.
“Upper extremity activity measures derived from accelerometers discriminated well between persons with stroke and healthy controls [41, 42, 44, 50] as well as between patients with different impairment levels [40, 41].”
From Wearable sensors for clinical applications in epilepsy, Parkinson’s disease, and stroke: A mixed-methods systematic review (2018) · cites this paper as [41]
Moderate correlations were found between arm activity measures (activity counts) and clinical assessments in individuals with acute stroke.
“Moderate correlations were found between arm activity measures (activity counts) and clinical assessments in individuals with acute stroke [40–42, 44].”
From Wearable sensors for clinical applications in epilepsy, Parkinson’s disease, and stroke: A mixed-methods systematic review (2018) · cites this paper as [41]
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- Authors
- Gebruers, N., Truijen, S., Engelborghs, S., & De Deyn, P. P.
- Affiliations
- University of Antwerp (BE)
- Department of Health Care Sciences, University College of Antwerp, Merksem, Belgium;
- Venue
- Journal of Rehabilitation Research and Development
- Published
- 2013
- Volume
- 50
- Issue
- 8
- Pages
- 1099-106
- ISSN
- 0742-3241 (ISSN-L)
- 0748-7711
- 1938-1352
- OpenAlex
- W1997559350
- Cited by
- 24
- References
- 25
- Citations by year
- 2025: 2 · 2024: 1 · 2023: 2 · 2022: 4 · 2021: 5 · 2020: 1 · 2019: 5 · 2018: 1 · 2017: 2 · 2016: 1
- FWCI
- 0.36
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- The Journal of Rehabilitation Research and Development (publishedVersion)
- PubMed (publishedVersion)
- University of Groningen research database (University of Groningen / Centre for Information Technology) (submittedVersion)
- VUBIR (Vrije Universiteit Brussel) (submittedVersion)
- Topics
- Health Sciences › Medicine › Rehabilitation › Stroke Rehabilitation and Recovery
- Health Sciences › Medicine › Epidemiology › Acute Ischemic Stroke Management
- Health Sciences › Health Professions › Speech and Hearing › Dysphagia Assessment and Management
- Keywords
- stroke, hemiparesis, upper limb activity, accelerometry, activity monitoring, functional recovery prediction, modified Rankin Scale, activity ratios, hospitalized stroke patients, disability assessment
- MeSH terms
- Age Factors, Aged, Aged, 80 and over, Disability Evaluation, Female, Humans, Male, Middle Aged, Movement, Paresis, Predictive Value of Tests, Prospective Studies, Time Factors, Case-Control Studies, Recovery of Function, Stroke, Upper Extremity, Accelerometry
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