Literature DB >> 10659890

Step activity monitor: long-term, continuous recording of ambulatory function.

K L Coleman1, D G Smith, D A Boone, A W Joseph, M A del Aguila.   

Abstract

In many areas of research and medicine, objective data describing an individual's ambulatory function are sought as useful indicators of that person's condition. Normally, detailed measurements are taken over short periods of time within a controlled laboratory setting. To complement this approach, Prosthetics Research Study has developed a small, unobtrusive instrument that continuously records a simple measure--step counts per unit time--as an individual goes about normal daily life. The Step Activity Monitor (SAM) is approximately the size and weight of a pager and is worn at the ankle. It can detect steps with better than 99% accuracy across a wide range of gait styles for adults, children, and large animals. During monitoring, step counts are recorded at consecutive, adjustable time intervals over weeks to months at a time. Recording at 1-min intervals for a minimum of 2 weeks is recommended. Once monitoring is completed, the data are transferred to a computer, and the levels and patterns of step activity can be analyzed. This article provides a detailed description of the SAM, guidelines for use, results of accuracy and reliability testing, case study descriptions demonstrating the ability to measure differences that result from medical interventions or changes in health status, and a discussion of considerations pertinent to long-term monitoring of activity.

Entities:  

Mesh:

Year:  1999        PMID: 10659890

Source DB:  PubMed          Journal:  J Rehabil Res Dev        ISSN: 0748-7711


  42 in total

1.  Quantified measurement of activity provides insight into motor function and recovery in neurological disease.

Authors:  M E Busse; O R Pearson; R Van Deursen; C M Wiles
Journal:  J Neurol Neurosurg Psychiatry       Date:  2004-06       Impact factor: 10.154

2.  Capturing ambulatory activity decline in Parkinson's disease.

Authors:  James T Cavanaugh; Terry D Ellis; Gammon M Earhart; Matthew P Ford; K Bo Foreman; Leland E Dibble
Journal:  J Neurol Phys Ther       Date:  2012-06       Impact factor: 3.649

3.  The validity and reliability of a novel activity monitor as a measure of walking.

Authors:  C G Ryan; P M Grant; W W Tigbe; M H Granat
Journal:  Br J Sports Med       Date:  2006-07-06       Impact factor: 13.800

4.  Ambulatory physical activity performance in youth with cerebral palsy and youth who are developing typically.

Authors:  Kristie F Bjornson; Basia Belza; Deborah Kartin; Rebecca Logsdon; John F McLaughlin
Journal:  Phys Ther       Date:  2007-01-23

5.  Ambulatory activity monitoring in youth: state of the science.

Authors:  Kristie F Bjornson; Basia Belza
Journal:  Pediatr Phys Ther       Date:  2004       Impact factor: 3.049

6.  Support vector machine for classification of walking conditions using miniature kinematic sensors.

Authors:  Hong-Yin Lau; Kai-Yu Tong; Hailong Zhu
Journal:  Med Biol Eng Comput       Date:  2008-03-18       Impact factor: 2.602

7.  Sampling frequency impacts measurement of walking activity after stroke.

Authors:  Brian Knarr; Margaret A Roos; Darcy S Reisman
Journal:  J Rehabil Res Dev       Date:  2013

8.  Does a torsion adapter improve functional mobility, pain, and fatigue in patients with transtibial amputation?

Authors:  Ava D Segal; Rose Kracht; Glenn K Klute
Journal:  Clin Orthop Relat Res       Date:  2014-10       Impact factor: 4.176

9.  Total hip arthroplasty in patients 50 years or less: do we improve activity profiles?

Authors:  Margaret Kuhn; Marcie Harris-Hayes; Karen Steger-May; Gail Pashos; John C Clohisy
Journal:  J Arthroplasty       Date:  2013-03-15       Impact factor: 4.757

Review 10.  Considerations for development of sensing and monitoring tools to facilitate treatment and care of persons with lower-limb loss: a review.

Authors:  Brian J Hafner; Joan E Sanders
Journal:  J Rehabil Res Dev       Date:  2014
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