Literature DB >> 18996729

Direct measurement of human movement by accelerometry.

A Godfrey1, R Conway, D Meagher, G OLaighin.   

Abstract

Human movement has been the subject of investigation since the fifth century when early scientists and researchers attempted to model the human musculoskeletal system. The anatomical complexities of the human body have made it a constant source of research to this day with many anatomical, physiological, mechanical, environmental, sociological and psychological studies undertaken to define its key elements. These studies have utilised modern day techniques to assess human movement in many illnesses. One such modern technique has been direct measurement by accelerometry, which was first suggested in the 1970s but has only been refined and perfected during the last 10-15 years. Direct measurement by accelerometry has seen the introduction of the successful implementation of low power, low cost electronic sensors that have been employed in clinical and home environments for the constant monitoring of patients (and their controls). The qualitative and quantitative data provided by these sensors make it possible for engineers, clinicians and physicians to work together to be able to help their patients in overcoming their physical disability. This paper presents the underlying biomechanical elements necessary to understand and study human movement. It also reflects on the sociological elements of human movement and why it is important in patient life and well being. Finally the concept of direct measurement by accelerometry is presented with past studies and modern techniques used for data analysis.

Entities:  

Mesh:

Year:  2008        PMID: 18996729     DOI: 10.1016/j.medengphy.2008.09.005

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


  87 in total

1.  Investigating neural correlates of behavior in freely behaving rodents using inertial sensors.

Authors:  Subramaniam Venkatraman; Xin Jin; Rui M Costa; Jose M Carmena
Journal:  J Neurophysiol       Date:  2010-04-28       Impact factor: 2.714

2.  Effect of BMI on prediction of accelerometry-based energy expenditure in youth.

Authors:  Joshua Warolin; Amanda R Carrico; Lauren E Whitaker; Li Wang; Kong Y Chen; Sari Acra; Maciej S Buchowski
Journal:  Med Sci Sports Exerc       Date:  2012-12       Impact factor: 5.411

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.  Classifying prosthetic use via accelerometry in persons with transtibial amputations.

Authors:  Morgan T Redfield; John C Cagle; Brian J Hafner; Joan E Sanders
Journal:  J Rehabil Res Dev       Date:  2013

5.  Posture and movement classification: the comparison of tri-axial accelerometer numbers and anatomical placement.

Authors:  Emma Fortune; Vipul A Lugade; Kenton R Kaufman
Journal:  J Biomech Eng       Date:  2014-05       Impact factor: 2.097

6.  Effect of intradialytic exercise on daily physical activity and sleep quality in maintenance hemodialysis patients.

Authors:  Ji-Hyung Cho; Ji-Yeon Lee; Sukyung Lee; Hyuntae Park; Seung-Wook Choi; Jun Chul Kim
Journal:  Int Urol Nephrol       Date:  2018-01-23       Impact factor: 2.370

7.  Physiological Responses to Active Video Games Compared to Treadmill Walking and TV Watching in Obese Children and Adolescents.

Authors:  Ramzi Majaj; Trent Scott; Ryan Moran; Dana Kimberly; Tamekia Jones; Webb Smith
Journal:  Int J Exerc Sci       Date:  2021-04-01

Review 8.  Redefining the roles of sensors in objective physical activity monitoring.

Authors:  Kong Y Chen; Kathleen F Janz; Weimo Zhu; Robert J Brychta
Journal:  Med Sci Sports Exerc       Date:  2012-01       Impact factor: 5.411

Review 9.  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

10.  Diagnosis and characterization of mania: Quantifying increased energy and activity in the human behavioral pattern monitor.

Authors:  William Perry; Meghan McIlwain; Karen Kloezeman; Brook L Henry; Arpi Minassian
Journal:  Psychiatry Res       Date:  2016-04-23       Impact factor: 3.222

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