Evidence map›Paper›PMID 41374708›Full record

ArticleSensors (Basel, Switzerland)2025

Combined Individual Experience and Accelerometry Measurement of Upper Limb Use in Daily Activities in Real Time After Stroke.

Isuru Senadheera, Prasad Hettiarachchi, Brendon Haslam, Rashmika Nawaratne, Michael Pollack, Susan Hillier, Michael Nilsson, Damminda Alahakoon, Leeanne M Carey

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Isuru SenadheeraCentre for Data Analytics and Cognition, La Trobe Business School, La Trobe University, Melbourne, VIC 3086, Australia.ORCID 0009-0003-4822-3799
Prasad HettiarachchiCentre for Data Analytics and Cognition, La Trobe Business School, La Trobe University, Melbourne, VIC 3086, Australia.ORCID 0000-0001-8479-3420
Brendon HaslamOccupational Therapy, School of Allied Health, Human Services and Sport, La Trobe University, Melbourne, VIC 3086, Australia.ORCID 0000-0003-4289-9328
Rashmika NawaratneCentre for Data Analytics and Cognition, La Trobe Business School, La Trobe University, Melbourne, VIC 3086, Australia.ORCID 0000-0001-6641-2153
Michael PollackCentre for Rehab Innovations, The University of Newcastle, Callaghan, NSW 2308, Australia.ORCID 0000-0001-8587-0934
Susan HillierAllied Health and Human Performance, University of South Australia, Adelaide, SA 5001, Australia.ORCID 0000-0002-6071-6137
Michael NilssonCentre for Rehab Innovations, The University of Newcastle, Callaghan, NSW 2308, Australia.ORCID 0000-0002-8826-1621
Damminda AlahakoonCentre for Data Analytics and Cognition, La Trobe Business School, La Trobe University, Melbourne, VIC 3086, Australia.ORCID 0000-0003-3291-888X
Leeanne M CareyOccupational Therapy, School of Allied Health, Human Services and Sport, La Trobe University, Melbourne, VIC 3086, Australia.ORCID 0000-0001-6376-8613

Funding

National Health and Medical Research Council 2004443
6 · The paper itself

Abstract

Use of the upper limb to engage in everyday activities is a key indicator of functional recovery of stroke survivors. In addition to functional capacity, personal and environmental factors contribute to real-world upper limb use post-stroke. We aimed to combine data from the experience sampling method (ESM), a method used to capture real-time engagement in daily activities, with accelerometry, an objective measurement of arm use, to evaluate arm use behaviours of adult stroke survivors living in real-world environments. Thirty mild-moderately impaired stroke survivors and 30 age-standardized healthy individuals were monitored over 7 days, using accelerometers on both wrists and four ESM beeps per day to capture individual experiences in daily activities. Stroke survivors showed significantly lower use of the affected arm across all activity domains compared to the non-dominant arm of healthy participants and reported perceived lower skill and higher challenge levels. Physical context, motor capabilities and activity type were associated with affected arm use behaviour, with greater use observed during social settings and in physically demanding tasks. These findings demonstrate that combining ESM with accelerometry provides a novel, ecologically valid framework to capture and interpret the interplay between capacity, context, and behaviour in everyday life. This approach offers opportunities to design personalized, context-aware rehabilitation strategies that promote meaningful functional reintegration after stroke.

Indexed as

AccelerometryActivities of Daily LivingStrokeUpper ExtremityAdultAgedFemaleHumansMaleMiddle AgedRecovery of FunctionStroke Rehabilitationaccelerometryactivity participationexperience sampling methodstroke rehabilitationupper limb function

Identifiers

PMID41374708
PMCPMC12694002

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.