Literature DB >> 10505379

Physical activity monitoring based on accelerometry: validation and comparison with video observation.

K Aminian1, P Robert, E E Buchser, B Rutschmann, D Hayoz, M Depairon.   

Abstract

The objective of this feasibility study is to evaluate the use of the 'Physilog' device, an ambulatory physical-activity recorder based on acceleration measurement, for the monitoring of daily physical activities. Accelerations measured at the level of the chest and the thigh are recorded by Physilog over a period of 1 h in five normal subjects. A specially designed studio-like room allowing the performance of most usual activities of everyday life is used. A video film synchronised with the Physilog is obtained for each subject to check the accuracy of the data derived from Physilog. Based on the analysis on the average and the deviation of the acceleration signal, an algorithm is developed to classify the activities in four categories, i.e. lying, sitting, standing and locomotion. Compared with the video observations, the results from the algorithm show an overall misclassification of 10.7%, which is mainly due to confusion between dynamic activities and the standing posture. In contrast, the misclassification between postures is negligible. It is concluded that Physilog can be used in the clinical setting for the reliable measurement and long-term recording of most usual physical activities.

Mesh:

Year:  1999        PMID: 10505379     DOI: 10.1007/BF02513304

Source DB:  PubMed          Journal:  Med Biol Eng Comput        ISSN: 0140-0118            Impact factor:   2.602


  8 in total

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Authors:  D J Sieminski; L L Cowell; P S Montgomery; S B Pillai; A W Gardner
Journal:  J Cardiopulm Rehabil       Date:  1997 Jan-Feb       Impact factor: 2.081

Review 2.  Detection of static and dynamic activities using uniaxial accelerometers.

Authors:  P H Veltink; H B Bussmann; W de Vries; W L Martens; R C Van Lummel
Journal:  IEEE Trans Rehabil Eng       Date:  1996-12

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Authors:  A V Ng; J A Kent-Braun
Journal:  Med Sci Sports Exerc       Date:  1997-04       Impact factor: 5.411

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Authors:  K Aminian; P Robert; E Jéquier; Y Schutz
Journal:  Med Sci Sports Exerc       Date:  1995-02       Impact factor: 5.411

5.  Simultaneous measurement of heart rate and body motion to quantitate physical activity.

Authors:  W L Haskell; M C Yee; A Evans; P J Irby
Journal:  Med Sci Sports Exerc       Date:  1993-01       Impact factor: 5.411

6.  Development of an ambulatory physical activity memory device and its application for the categorization of actions in daily life.

Authors:  M Makikawa; H Iizumi
Journal:  Medinfo       Date:  1995

7.  Automated physical activity monitoring: validation and comparison with physiological and self-report measures.

Authors:  S M Patterson; D S Krantz; L C Montgomery; P A Deuster; S M Hedges; L E Nebel
Journal:  Psychophysiology       Date:  1993-05       Impact factor: 4.016

8.  Differences between patients' and physicians' evaluations of outcome after total hip arthroplasty.

Authors:  J R Lieberman; F Dorey; P Shekelle; L Schumacher; B J Thomas; D J Kilgus; G A Finerman
Journal:  J Bone Joint Surg Am       Date:  1996-06       Impact factor: 5.284

  8 in total
  46 in total

1.  Assessment of spatio-temporal parameters during unconstrained walking.

Authors:  Wiebren Zijlstra
Journal:  Eur J Appl Physiol       Date:  2004-02-17       Impact factor: 3.078

2.  Movement analysis by accelerometry of newborns and infants for the early detection of movement disorders due to infantile cerebral palsy.

Authors:  Franziska Heinze; Katharina Hesels; Nico Breitbach-Faller; Thomas Schmitz-Rode; Catherine Disselhorst-Klug
Journal:  Med Biol Eng Comput       Date:  2010-05-06       Impact factor: 2.602

3.  Wearable pendant device monitoring using new wavelet-based methods shows daily life and laboratory gaits are different.

Authors:  Matthew A D Brodie; Milou J M Coppens; Stephen R Lord; Nigel H Lovell; Yves J Gschwind; Stephen J Redmond; Michael Benjamin Del Rosario; Kejia Wang; Daina L Sturnieks; Michela Persiani; Kim Delbaere
Journal:  Med Biol Eng Comput       Date:  2015-08-06       Impact factor: 2.602

4.  Identifying activity levels and steps of people with stroke using a novel shoe-based sensor.

Authors:  George D Fulk; S Ryan Edgar; Rebecca Bierwirth; Phil Hart; Paulo Lopez-Meyer; Edward Sazonov
Journal:  J Neurol Phys Ther       Date:  2012-06       Impact factor: 3.649

5.  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

6.  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

7.  Novel wearable technology for assessing spontaneous daily physical activity and risk of falling in older adults with diabetes.

Authors:  Bijan Najafi; David G Armstrong; Jane Mohler
Journal:  J Diabetes Sci Technol       Date:  2013-09-01

8.  Transient and steady state estimation of human oxygen uptake based on noninvasive portable sensor measurements.

Authors:  Steven W Su; Branko G Celler; Andrey V Savkin; Hung T Nguyen; Teddy M Cheng; Ying Guo; Lu Wang
Journal:  Med Biol Eng Comput       Date:  2009-10       Impact factor: 2.602

Review 9.  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

10.  Mobile sensor based human activity recognition: distinguishing of challenging activities by applying long short-term memory deep learning modified by residual network concept.

Authors:  Seyed Vahab Shojaedini; Mohamad Javad Beirami
Journal:  Biomed Eng Lett       Date:  2020-06-29
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