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Accuracy of 2 Activity Monitors in Detecting Steps in People With Stroke and Traumatic Brain Injury

George D. Fulk, Stephanie A. Combs, Kelly A. Danks, Coby D. Nirider, Bhavana Raja, Darcy S. Reisman
DOI: 10.2522/ptj.20120525 Published 1 February 2014
George D. Fulk
G.D. Fulk, PT, PhD, Physical Therapy Department, Clarkson University, 8 Clarkson Ave, Potsdam, NY 13699 (USA).
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Stephanie A. Combs
S.A. Combs, PT, PhD, NCS, Krannert School of Physical Therapy, University of Indianapolis, Indianapolis, Indiana.
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Kelly A. Danks
K.A. Danks, PT, DPT, GCS, Department of Physical Therapy, University of Delaware, Newark, Delaware.
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Coby D. Nirider
C.D. Nirider, PT, DPT, Touchstone Neurorecovery Center, Conroe, Texas.
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Bhavana Raja
B. Raja, PT, PhD, College of Allied Health Professions, Western University, Pomona, California.
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Darcy S. Reisman
D.S. Reisman, PT, PhD, Department of Physical Therapy, University of Delaware.
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Abstract

Background Advances in sensor technologies and signal processing techniques provide a method to accurately measure walking activity in the home and community. Activity monitors geared toward consumer or patient use may be an alternative to more expensive monitors designed for research to measure stepping activity.

Objective The objective of this study was to examine the accuracy of 2 consumer/patient activity monitors, the Fitbit Ultra and the Nike+ Fuelband, in identifying stepping activity in people with stroke and traumatic brain injury (TBI). Secondarily, the study sought to compare the accuracy of these 2 activity monitors with that of the StepWatch Activity Monitor (SAM) and a pedometer, the Yamax Digi-Walker SW-701 pedometer (YDWP).

Design A cross-sectional design was used for this study.

Method People with chronic stroke and TBI wore the 4 activity monitors while they performed the Two-Minute Walk Test (2MWT), during which they were videotaped. Activity monitor estimated steps taken were compared with actual steps taken counted from videotape. Accuracy and agreement between activity monitor estimated steps and actual steps were examined using intraclass correlation coefficients (ICC [2,1]) and the Bland-Altman method.

Results The SAM demonstrated the greatest accuracy (ICC [2,1]=.97, mean difference between actual steps and SAM estimated steps=4.7 steps) followed by the Fitbit Ultra (ICC [2,1]=.73, mean difference between actual steps and Fitbit Ultra estimated steps=−9.7 steps), the YDWP (ICC [2,1]=.42, mean difference between actual steps and YDWP estimated steps=−28.8 steps), and the Nike+ Fuelband (ICC [2,1]=.20, mean difference between actual steps and Nike+ Fuelband estimated steps=−66.2 steps).

Limitations Walking activity was measured over a short distance in a closed environment, and participants were high functioning ambulators, with a mean gait speed of 0.93 m/s.

Conclusions The Fitbit Ultra may be a low-cost alternative to measure the stepping activity in level, predictable environments of people with stroke and TBI who can walk at speeds ≥0.58 m/s.

Footnotes

  • Dr Fulk, Dr Combs, Dr Danks, Dr Nirider, and Dr Reisman provided concept/idea/research design. Dr Fulk, Dr Combs, Dr Danks, and Dr Reisman provided writing. Dr Fulk, Dr Combs, Dr Danks, and Dr Nirider provided data collection. Dr Fulk, Dr Combs, Dr Raja, and Dr Reisman provided data analysis. Dr Fulk, Dr Danks, and Dr Nirider provided project management. Dr Fulk, Dr Combs, and Dr Nirider provided study participants. Dr Fulk, Dr Combs, Dr Nirider, and Dr Reisman provided facilities/equipment. Dr Combs, Dr Danks, and Dr Nirider provided consultation (including review of manuscript before submission).

  • Preliminary data from this study were presented in poster format at the Combined Sections Meeting of the American Physical Therapy Association; January 21–24, 2013; San Diego, California, and the Texas Physical Therapy Association Annual Conference; October 25–28, 2012; San Antonio, Texas.

  • Received December 18, 2012.
  • Accepted September 11, 2013.
  • © 2014 American Physical Therapy Association
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Vol 94 Issue 2 Table of Contents
Physical Therapy: 94 (2)

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  • Physical Therapist–Delivered Cognitive-Behavioral Therapy
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  • Use of Activity Monitors in Stroke and Traumatic Brain Injury
  • Psychometric Properties of Functional Mobility Tests for People With Parkinson Disease
  • Responsiveness of the Spinal Cord Injury Functional Ambulation Profile
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  • Fecal Incontinence and Constipation Questionnaire
  • Health-Enhancing Physical Activity in Children With Cerebral Palsy
  • Long-Term Exercise Training for Corticobasal Degeneration and Progressive Supranuclear Palsy
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Accuracy of 2 Activity Monitors in Detecting Steps in People With Stroke and Traumatic Brain Injury
George D. Fulk, Stephanie A. Combs, Kelly A. Danks, Coby D. Nirider, Bhavana Raja, Darcy S. Reisman
Physical Therapy Feb 2014, 94 (2) 222-229; DOI: 10.2522/ptj.20120525

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Accuracy of 2 Activity Monitors in Detecting Steps in People With Stroke and Traumatic Brain Injury
George D. Fulk, Stephanie A. Combs, Kelly A. Danks, Coby D. Nirider, Bhavana Raja, Darcy S. Reisman
Physical Therapy Feb 2014, 94 (2) 222-229; DOI: 10.2522/ptj.20120525
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