Literature DB >> 30810741

Wearables for Pediatric Rehabilitation: How to Optimally Design and Use Products to Meet the Needs of Users.

Michele A Lobo1, Martha L Hall2, Ben Greenspan2, Peter Rohloff3, Laura A Prosser4, Beth A Smith5.   

Abstract

This article will define "wearables" as objects that interface and move with users, spanning clothing through smart devices. A novel design approach merging information from across disciplines and considering users' broad needs will be presented as the optimal approach for designing wearables that maximize usage. Three categories of wearables applicable to rehabilitation and habilitation will be explored: (1) inclusive clothing (eg, altered fit, fasteners); (2) supportive wearables (eg, orthotics, exoskeletons); and (3) smart wearables (eg, with sensors for tracking activity or controlling external devices). For each category, we will provide examples of existing and emerging wearables and potential applications for assessment and intervention with a focus on pediatric populations. We will discuss how these wearables might change task requirements and assist users for immediate effects and how they might be used with intervention activities to change users' abilities across time. It is important for rehabilitation clinicians and researchers to be engaged with the design and use of wearables so they can advocate and create better wearables for their clients and determine how to most effectively use wearables to enhance their assessment, intervention, and research practices.
© 2019 American Physical Therapy Association.

Mesh:

Year:  2019        PMID: 30810741      PMCID: PMC6545272          DOI: 10.1093/ptj/pzz024

Source DB:  PubMed          Journal:  Phys Ther        ISSN: 0031-9023


  47 in total

1.  Clothing and related needs of physically handicapped persons.

Authors:  E Shannon; N Reich
Journal:  Rehabil Lit       Date:  1979-01

2.  User-oriented product development applied to functional clothing design.

Authors:  E Rosenblad-Wallin
Journal:  Appl Ergon       Date:  1985-12       Impact factor: 3.661

3.  Development of a Wearable Sensor Algorithm to Detect the Quantity and Kinematic Characteristics of Infant Arm Movement Bouts Produced across a Full Day in the Natural Environment.

Authors:  Ivan A Trujillo-Priego; Christianne J Lane; Douglas L Vanderbilt; Weiyang Deng; Gerald E Loeb; Joanne Shida; Beth A Smith
Journal:  Technologies (Basel)       Date:  2017-06-23

4.  Tracing the successful incorporation of assistive technology into everyday life for younger people with dementia and family carers.

Authors:  Cathrine Arntzen; Torhild Holthe; Rita Jentoft
Journal:  Dementia (London)       Date:  2014-04-29

5.  Hip abductor control in walking following stroke -- the immediate effect of canes, taping and TheraTogs on gait.

Authors:  Clare Maguire; Judith M Sieben; Matthias Frank; Jacqueline Romkes
Journal:  Clin Rehabil       Date:  2009-11-11       Impact factor: 3.477

6.  Effects of dynamic elastomeric fabric orthoses on children with cerebral palsy.

Authors:  Martin John Matthews; Martin Watson; Barbara Richardson
Journal:  Prosthet Orthot Int       Date:  2009-12       Impact factor: 1.895

7.  Physical activity in infants with Down syndrome receiving a treadmill intervention.

Authors:  Rosa Angulo-Barroso; Amy R Burghardt; Meghann Lloyd; Dale A Ulrich
Journal:  Infant Behav Dev       Date:  2007-11-28

8.  Design and testing of a functional arm orthosis in patients with neuromuscular diseases.

Authors:  Tariq Rahman; Whitney Sample; Rahamim Seliktar; Mena T Scavina; Alisa L Clark; Kacy Moran; Michael A Alexander
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2007-06       Impact factor: 3.802

9.  An accelerometry-based methodology for assessment of real-world bilateral upper extremity activity.

Authors:  Ryan R Bailey; Joseph W Klaesner; Catherine E Lang
Journal:  PLoS One       Date:  2014-07-28       Impact factor: 3.752

10.  Daily Quantity of Infant Leg Movement: Wearable Sensor Algorithm and Relationship to Walking Onset.

Authors:  Beth A Smith; Ivan A Trujillo-Priego; Christianne J Lane; James M Finley; Fay B Horak
Journal:  Sensors (Basel)       Date:  2015-08-04       Impact factor: 3.576

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  4 in total

1.  A survey on the attitudes of parents with young children on in-home monitoring technologies and study designs for infant research.

Authors:  Laurel A Fish; Emily J H Jones
Journal:  PLoS One       Date:  2021-02-05       Impact factor: 3.240

2.  Automatic Posture and Movement Tracking of Infants with Wearable Movement Sensors.

Authors:  Manu Airaksinen; Okko Räsänen; Elina Ilén; Taru Häyrinen; Anna Kivi; Viviana Marchi; Anastasia Gallen; Sonja Blom; Anni Varhe; Nico Kaartinen; Leena Haataja; Sampsa Vanhatalo
Journal:  Sci Rep       Date:  2020-01-13       Impact factor: 4.379

3.  Machine Learning to Quantify Physical Activity in Children with Cerebral Palsy: Comparison of Group, Group-Personalized, and Fully-Personalized Activity Classification Models.

Authors:  Matthew N Ahmadi; Margaret E O'Neil; Emmah Baque; Roslyn N Boyd; Stewart G Trost
Journal:  Sensors (Basel)       Date:  2020-07-17       Impact factor: 3.576

Review 4.  Robotic devices for paediatric rehabilitation: a review of design features.

Authors:  Alberto Gonzalez; Lorenzo Garcia; Jeff Kilby; Peter McNair
Journal:  Biomed Eng Online       Date:  2021-09-06       Impact factor: 2.819

  4 in total

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