Literature DB >> 9338884

Ambulatory monitoring of children's activity.

H J Busser1, J Ott, R C van Lummel, M Uiterwaal, R Blank.   

Abstract

One of the difficulties in clinical assessment is how to obtain accurate data in the "real world". This paper describes the Dynaport ADL Monitor, an accelerometry-based system for ambulatory monitoring of the activities of daily living (ADL). In previous studies the monitor has proved a success with adults. To validate the system for use with children, 9 h of various activities conducted by nine children were measured and videotaped at the same time. All postures and activities were divided into one of five main categories: standing, sitting, lying, locomotion and swing/seesaw. The video pictures were evaluated by an observer. Independent of this, the acceleration signals were translated by the DynaPort ADL monitor software, and were compared to the video pictures. Minimal and maximal validity percentages were calculated for each of the main classes, for each individual measurement and overall. To estimate monitoring performance the 10 sets of measurements are regarded as representative samples of children's daily activity. The overall minimal and maximal validity are 73.15 +/- 1.96 x 4.48 and 91.31 +/- 1.96 x 1.75 weighed standard deviation.

Entities:  

Mesh:

Year:  1997        PMID: 9338884     DOI: 10.1016/s1350-4533(97)00007-6

Source DB:  PubMed          Journal:  Med Eng Phys        ISSN: 1350-4533            Impact factor:   2.242


  7 in total

Review 1.  Automated sensing of daily activity: A new lens into development.

Authors:  Kaya de Barbaro
Journal:  Dev Psychobiol       Date:  2019-03-18       Impact factor: 3.038

2.  Assessment of 24-hour physical behaviour in children and adolescents via wearables: a systematic review of free-living validation studies.

Authors:  Marco Giurgiu; Simon Kolb; Carina Nigg; Alexander Burchartz; Irina Timm; Marlissa Becker; Ellen Rulf; Ann-Kathrin Doster; Elena Koch; Johannes B J Bussmann; Claudio Nigg; Ulrich W Ebner-Priemer; Alexander Woll
Journal:  BMJ Open Sport Exerc Med       Date:  2022-05-12

3.  A combined sEMG and accelerometer system for monitoring functional activity in stroke.

Authors:  Serge H Roy; M Samuel Cheng; Shey-Sheen Chang; John Moore; Gianluca De Luca; S Hamid Nawab; Carlo J De Luca
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2009-12       Impact factor: 3.802

4.  Validation of a novel physical activity assessment device in morbidly obese females.

Authors:  Soyang Kwon; Mohammad Jamal; Gideon K D Zamba; Phyllis Stumbo; Isaac Samuel
Journal:  J Obes       Date:  2010-02-09

5.  Continuous monitoring of upper-limb activity in a free-living environment: a validation study.

Authors:  A Vega-Gonzalez; B J Bain; P M Dall; M H Granat
Journal:  Med Biol Eng Comput       Date:  2007-07-28       Impact factor: 2.602

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.  A low-cost stand-alone platform for measuring motor behavior across developmental applications.

Authors:  Andrea Cavallo; Nathan C Foster; Karthikeyan Kalyanasundaram Balasubramanian; Andrea Merello; Giorgio Zini; Marco Crepaldi; Cristina Becchio
Journal:  iScience       Date:  2021-06-17
  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.