Literature DB >> 29557275

Validity of the ActiGraph activity monitor for individuals who walk slowly post-stroke.

Cynthia Campos1,2, Vincent G DePaul1,3, Svetlana Knorr1, Jennifer S Wong1, Avril Mansfield1,4,5,6, Kara K Patterson1,4,6.   

Abstract

Background Slow and asymmetric gait post-stroke may reduce the accuracy of accelerometers (e.g. ActiGraph [AG]) to measure activity. Objectives To (1) determine the validity of AG step counts post-stroke; (2) develop guidelines for low frequency extension filter (LFE) use; and (3) determine the feasibility of daily accelerometer wear. Methods Adults with (n = 33) and without stroke (n = 20) wore three devices for approximately 7 h on a single day: ankle AG, waist AG, and a reference accelerometer at the ankle (REFA). AG step counts processed with and without the LFE were compared to REFA with paired difference tests. Agreement was measured with intraclass correlation coefficients (ICC3,1). Relationships between error (AG - REFA) and motor impairment and gait performance were plotted to determine a threshold for LFE application. A feasibility questionnaire was distributed to participants to investigate the applicability of the AG in clinical populations. Results Step counts from ankle AG in the stroke group (p = 0.53) and waist AG in the healthy group (p = 0.10) were similar to REFA. Waist AG under-counted, and ankle and waist AG with LFE over-counted steps in the stroke group (all p < 0.0001). ICC3,1 ranged from 0.70 to 0.82 (stroke) and 0.79-0.92 (healthy). Ankle AG error and stance time symmetry (stroke) were correlated (r = 0.41, p = 0.02); however, no threshold for LFE application was revealed. Ankle AG was rated very comfortable by 26/33 participants with stroke and 12/20 healthy participants. Conclusions The AG worn at the unaffected ankle without LFE produced the most accurate step count in people with stroke. We were unable to establish guidelines for LFE use.

Entities:  

Keywords:  ActiGraph; activity monitoring; feasibility; low frequency extension; slow walking; stroke

Mesh:

Year:  2018        PMID: 29557275     DOI: 10.1080/10749357.2018.1446487

Source DB:  PubMed          Journal:  Top Stroke Rehabil        ISSN: 1074-9357            Impact factor:   2.119


  9 in total

1.  Daily Step Count and All-Cause Mortality: A Dose-Response Meta-analysis of Prospective Cohort Studies.

Authors:  Ahmad Jayedi; Ali Gohari; Sakineh Shab-Bidar
Journal:  Sports Med       Date:  2021-08-21       Impact factor: 11.928

Review 2.  Objective Measurement of Walking Activity Using Wearable Technologies in People with Parkinson Disease: A Systematic Review.

Authors:  Mathias Baptiste Correno; Clint Hansen; Thomas Carlin; Nicolas Vuillerme
Journal:  Sensors (Basel)       Date:  2022-06-16       Impact factor: 3.847

3.  Establishing Accelerometer Cut-Points to Classify Walking Speed in People Post Stroke.

Authors:  David Moulaee Conradsson; Lucian John-Ross Bezuidenhout
Journal:  Sensors (Basel)       Date:  2022-05-27       Impact factor: 3.847

Review 4.  Quality Evaluation of Free-living Validation Studies for the Assessment of 24-Hour Physical Behavior in Adults via Wearables: Systematic Review.

Authors:  Marco Giurgiu; Irina Timm; Marlissa Becker; Steffen Schmidt; Kathrin Wunsch; Rebecca Nissen; Denis Davidovski; Johannes B J Bussmann; Claudio R Nigg; Markus Reichert; Ulrich W Ebner-Priemer; Alexander Woll; Birte von Haaren-Mack
Journal:  JMIR Mhealth Uhealth       Date:  2022-06-09       Impact factor: 4.947

Review 5.  Criterion validity of ActiGraph monitoring devices for step counting and distance measurement in adults and older adults: a systematic review.

Authors:  Armelle-Myriane Ngueleu; Corentin Barthod; Krista Lynn Best; François Routhier; Martin Otis; Charles Sèbiyo Batcho
Journal:  J Neuroeng Rehabil       Date:  2022-10-17       Impact factor: 5.208

6.  Validity of Hip and Ankle Worn Actigraph Accelerometers for Measuring Steps as a Function of Gait Speed during Steady State Walking and Continuous Turning.

Authors:  Lucian Bezuidenhout; Charlotte Thurston; Maria Hagströmer; David Moulaee Conradsson
Journal:  Sensors (Basel)       Date:  2021-05-01       Impact factor: 3.576

7.  COVID-19 Pandemic and Beyond: Considerations and Costs of Telehealth Exercise Programs for Older Adults With Functional Impairments Living at Home-Lessons Learned From a Pilot Case Study.

Authors:  Addie Middleton; Kit N Simpson; Janet Prvu Bettger; Mark G Bowden
Journal:  Phys Ther       Date:  2020-08-12

8.  Using an Accelerometer-Based Step Counter in Post-Stroke Patients: Validation of a Low-Cost Tool.

Authors:  Francesco Negrini; Giulio Gasperini; Eleonora Guanziroli; Jacopo Antonino Vitale; Giuseppe Banfi; Franco Molteni
Journal:  Int J Environ Res Public Health       Date:  2020-05-02       Impact factor: 3.390

9.  Effect of Walking Adaptability on an Uneven Surface by a Stepping Pattern on Walking Activity After Stroke.

Authors:  Yusuke Sekiguchi; Keita Honda; Shin-Ichi Izumi
Journal:  Front Hum Neurosci       Date:  2022-01-04       Impact factor: 3.169

  9 in total

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