Literature DB >> 33585360

Accelerometric Gait Analysis Devices in Children-Will They Accept Them? Results From the AVAPed Study.

Isabella Wiedmann1,2,3, Marcello Grassi4,5, Ibrahim Duran1, Ricardo Lavrador1, Evelyn Alberg1, Martin Daumer4,5,6, Eckhard Schoenau7, Jörn Rittweger2,7.   

Abstract

Aims: To assess children's acceptance to wear a 3D-accelerometer which is attached to the waist under real-world conditions, and also to compare gait speed during supervised testing with the non-supervised gait speed in every-day life.
Methods: In a controlled observational, cross sectional study thirty subjects with cerebral palsy (CP), with level I&II of the Gross Motor Function Classification System (GMFCS) and 30 healthy control children (Ctrl), aged 3-12 years, were asked to perform a 1-min-walking test (1 mwt) under laboratory conditions, and to wear an accelerometric device for a 1-week wearing home measurement (1 WHM). Acceptance was measured via wearing time, and by a questionnaire in which subjects rated restrictions in their daily living and wearing comfort. In addition, validity of 3D-accelerometric gait speed was checked through gold standard assessment of gait speed with a mobile perambulator.
Results: Wearing time amounted to 10.3 (SD 3.4) hours per day, which was comparable between groups (T = 1.10, P = 0.3). Mode for wearing comfort [CP 1, Range (1,4), Ctrl 1, Range (1,6)] and restriction of daily living [CP 1, Range (1,3), Ctrl 1, Range (1,4)] was comparable between groups. Under laboratory conditions, Ctrl walked faster in the 1 mwt than CP (Ctrl 1.72 ± 0.29 m/s, CP 1.48 ± 0.41 m/s, P = 0.018). Similarly, a statistically significant difference was found when comparing real-world walking speed and laboratory walking speed (CP: 1 mwt 1.48 ± 0.41 m/s, 1 WHM 0.89 ± 0.09 m/s, P = 0.012; Ctrl: 1mwt 1.72 ± 0.29, 1 WHM 0.97 ± 0.06, P < 0.001).
Conclusion: 3D-accelerometry is well-enough accepted in a pediatric population of patients with CP and a Ctrl group to allow valid assessments. Assessment outside the laboratory environment yields information about real world activity that was not captured by routine clinical tests. This suggests that assessment of habitual activities by wearable devices reflects the functioning of children in their home environment. This novel information constitutes an important goal for rehabilitation medicine. The study is registered at the German Register of Clinical Trials with the title "Acceptance and Validity of 3D Accelerometric Gait Analysis in Pediatric Patients" (AVAPed; DRKS00011919).
Copyright © 2021 Wiedmann, Grassi, Duran, Lavrador, Alberg, Daumer, Schoenau and Rittweger.

Entities:  

Keywords:  cerebral palsy; gait speed; laboratory conditions; real-world conditions; wearables

Year:  2021        PMID: 33585360      PMCID: PMC7877485          DOI: 10.3389/fped.2020.574443

Source DB:  PubMed          Journal:  Front Pediatr        ISSN: 2296-2360            Impact factor:   3.418


  20 in total

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2.  Relationship between gross motor and intellectual function in children with cerebral palsy: a cross-sectional study.

Authors:  Hamid Dalvand; Leila Dehghan; Mohammad Reza Hadian; Awat Feizy; Seyed Ali Hosseini
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Review 4.  Assessment of Activities of Daily Living, Self-Care, and Independence.

Authors:  Michelle E Mlinac; Michelle C Feng
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5.  Steps towards a miniaturized, robust and autonomous measurement device for the long-term monitoring of patient activity: ActiBelt.

Authors:  Martin Daumer; Kathrin Thaler; Esther Kruis; Wolfgang Feneberg; Gerhard Staude; Michael Scholz
Journal:  Biomed Tech (Berl)       Date:  2007-02       Impact factor: 1.411

6.  Decreasing prevalence in cerebral palsy: a multi-site European population-based study, 1980 to 2003.

Authors:  Elodie Sellier; Mary Jane Platt; Guro L Andersen; Ingeborg Krägeloh-Mann; Javier De La Cruz; Christine Cans
Journal:  Dev Med Child Neurol       Date:  2015-08-28       Impact factor: 5.449

7.  Development and validation of a new method to measure walking speed in free-living environments using the actibelt® platform.

Authors:  Michaela Schimpl; Christian Lederer; Martin Daumer
Journal:  PLoS One       Date:  2011-08-05       Impact factor: 3.240

8.  Do actions speak louder than words? Examining children's ability to follow instructions.

Authors:  Amanda H Waterman; Amy L Atkinson; Sadia S Aslam; Joni Holmes; Agnieszka Jaroslawska; Richard J Allen
Journal:  Mem Cognit       Date:  2017-08

9.  Validity of accelerometry in step detection and gait speed measurement in orthogeriatric patients.

Authors:  Alexander M Keppler; Timur Nuritidinow; Arne Mueller; Holger Hoefling; Matthias Schieker; Ieuan Clay; Wolfgang Böcker; Julian Fürmetz
Journal:  PLoS One       Date:  2019-08-30       Impact factor: 3.240

Review 10.  Physical Activity Monitoring in Patients with Neurological Disorders: A Review of Novel Body-Worn Devices.

Authors:  Oonagh M Giggins; Ieuan Clay; Lorcan Walsh
Journal:  Digit Biomark       Date:  2017-06-12
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  1 in total

1.  Normative data on spontaneous stride velocity, stride length, and walking activity in a non-controlled environment.

Authors:  Margaux Poleur; Ana Ulinici; Aurore Daron; Olivier Schneider; Fabian Dal Farra; Marie Demonceau; Mélanie Annoussamy; David Vissière; Damien Eggenspieler; Laurent Servais
Journal:  Orphanet J Rare Dis       Date:  2021-07-19       Impact factor: 4.123

  1 in total

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