Actigraphic Measurement of Motor Deficits in Acute Ischemic Stroke
Abstract
Background: This study aimed to investigate the use of actigraphy (accelerometry) to measure disuse of the impaired arm in acute stroke patients. We correlated the National Institute of Health Stroke Scale (NIHSS) and the Fugl-Meyer Assessment arm section (FMA) findings with actigraphic data as a measure of validity. Methods: Thirty-nine acute ischemic stroke patients were included within 1 week after stroke onset. At inclusion, motor deficits were assessed by the NIHSS, FMA and 48-hour actigraphic recordings of both wrists were performed. Results: Moderate but highly significant correlations (Spearman’s rho) between actigraphic recordings and total NIHSS (ratio r = –0.59 and activity of impaired arm r = –0.75; p < 0.001) and FMA (ratio r = 0.54 and activity of impaired arm r = 0.69; p < 0.001) scores were found. Based on actigraphic motor activity scores, ROC curves were calculated following dichotomization of the population based on NIHSS = 7 and FMA = 45, showing good sensitivity and specificity, with negative predictive value of 100% and positive predictive value of 91% for the ratio variable. Conclusions: Moderate but highly significant correlations were found between actigraphy and the stroke scales NIHSS and FMA. Actigraphy was able to reliably discriminate less impaired from more impaired stroke patients with excellent sensitivity and specificity values. Actigraphy is a simple, valid, objective and reliable clinical research tool that can be used to determine motor impairment of the upper limb in stroke patients.
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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 [40]
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 [40]
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 [40]
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- Authors
- Gebruers, N., Truijen, S., Engelborghs, S., Nagels, G., Brouns, R., & De Deyn, P. P.
- Affiliations
- University of Antwerp (BE)
- Venue
- Cerebrovascular Diseases
- Publisher
- S. Karger AG
- Published
- 2008
- Volume
- 26
- Issue
- 5
- Pages
- 533-540
- ISSN
- 1015-9770 (ISSN-L)
- 1421-9786
- OpenAlex
- W1966953701
- Cited by
- 61
- References
- 30
- Citations by year
- 2026: 1 · 2025: 3 · 2024: 2 · 2023: 3 · 2022: 6 · 2021: 5 · 2020: 4 · 2019: 3 · 2018: 3 · 2017: 3 · 2016: 4 · 2015: 4 · 2014: 6 · 2013: 7
- FWCI
- 2.14
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Cerebrovascular Diseases (publishedVersion)
- PubMed (publishedVersion)
- VUBIR (Vrije Universiteit Brussel) (submittedVersion)
- Topics
- Health Sciences › Medicine › Rehabilitation › Stroke Rehabilitation and Recovery
- Health Sciences › Medicine › Epidemiology › Acute Ischemic Stroke Management
- Life Sciences › Neuroscience › Cognitive Neuroscience › Motor Control and Adaptation
- Keywords
- actigraphy, accelerometer, acute ischemic stroke, upper limb motor impairment, NIHSS, Fugl-Meyer Assessment, stroke severity assessment, objective motor assessment
- MeSH terms
- Acceleration, Aged, Aged, 80 and over, Arm, Biomechanical Phenomena, Brain Ischemia, Disability Evaluation, Female, Humans, Male, Motor Activity, Movement, Predictive Value of Tests, Prospective Studies, ROC Curve, Sensitivity and Specificity, Severity of Illness Index, Reproducibility of Results, Stroke
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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