Literature DB >> 9680600

Ambulatory monitoring of physical activity in working situations, a validation study.

M Uiterwaal1, E B Glerum, H J Busser, R C van Lummel.   

Abstract

How to assess a patient's functional physical mobility in non-laboratory situations has been a problem for the medical services for a long time. A measurement system using accelerometry (DynaPort ADL Monitor) has been developed to cope with this problem. It is a lightweight recorder that is worn around the waist. It uses accelerometry to ambulatory monitor the Activities of Daily Living (ADL). In this study the reliability of the monitor in two working situations of one patient has been assessed: maintenance mechanic and messenger in a city hall. All actions were simultaneously videotaped. The video recording was interpreted by an observer. Independent of this, the acceleration signals were translated by the monitor software into one of the basic postures or movements: locomotion, standing, sitting, lying and playing. Every second the monitor and observer interpretation were compared and maximal and minimal validity percentages were calculated for all classes and for the total measurement. The overall (minimal) validity was found to be higher than 86%. The maximal validity was 93% of the total measurement in the patient's job as a maintenance mechanic. Considering the simple instrumentation of the ADL monitor this validity is considered good.

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Year:  1998        PMID: 9680600     DOI: 10.3109/03091909809032535

Source DB:  PubMed          Journal:  J Med Eng Technol        ISSN: 0309-1902


  9 in total

1.  Detection of daily physical activities using a triaxial accelerometer.

Authors:  M J Mathie; A C F Coster; N H Lovell; B G Celler
Journal:  Med Biol Eng Comput       Date:  2003-05       Impact factor: 2.602

2.  Classification of basic daily movements using a triaxial accelerometer.

Authors:  M J Mathie; B G Celler; N H Lovell; A C F Coster
Journal:  Med Biol Eng Comput       Date:  2004-09       Impact factor: 2.602

3.  The validation of a novel activity monitor in the measurement of posture and motion during everyday activities.

Authors:  P M Grant; C G Ryan; W W Tigbe; M H Granat
Journal:  Br J Sports Med       Date:  2006-09-15       Impact factor: 13.800

Review 4.  Position-sensing technologies for movement analysis in stroke rehabilitation.

Authors:  H Zheng; N D Black; N D Harris
Journal:  Med Biol Eng Comput       Date:  2005-07       Impact factor: 2.602

5.  Classifying human leg motions with uniaxial piezoelectric gyroscopes.

Authors:  Orkun Tunçel; Kerem Altun; Billur Barshan
Journal:  Sensors (Basel)       Date:  2009-10-27       Impact factor: 3.576

6.  Validation and Reliability of a Classification Method to Measure the Time Spent Performing Different Activities.

Authors:  Marie-Ève Riou; François Rioux; Gilles Lamothe; Éric Doucet
Journal:  PLoS One       Date:  2015-06-08       Impact factor: 3.240

7.  Time- and computation-efficient calibration of MEMS 3D accelerometers and gyroscopes.

Authors:  Sara Stančin; Sašo Tomažič
Journal:  Sensors (Basel)       Date:  2014-08-13       Impact factor: 3.576

Review 8.  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

9.  Recommendations for standardizing validation procedures assessing physical activity of older persons by monitoring body postures and movements.

Authors:  Ulrich Lindemann; Wiebren Zijlstra; Kamiar Aminian; Sebastien F M Chastin; Eling D de Bruin; Jorunn L Helbostad; Johannes B J Bussmann
Journal:  Sensors (Basel)       Date:  2014-01-10       Impact factor: 3.576

  9 in total

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