Literature DB >> 22157770

Redefining the roles of sensors in objective physical activity monitoring.

Kong Y Chen1, Kathleen F Janz, Weimo Zhu, Robert J Brychta.   

Abstract

BACKGROUND: Because physical activity researchers are increasingly using objective portable devices, this review describes the current state of the technology to assess physical activity, with a focus on specific sensors and sensor properties currently used in monitors and their strengths and weaknesses. Additional sensors and sensor properties desirable for activity measurement and best practices for users and developers also are discussed. BEST PRACTICES: We grouped current sensors into three broad categories for objectively measuring physical activity: associated body movement, physiology, and context. Desirable sensor properties for measuring physical activity and the importance of these properties in relationship to specific applications are addressed, and the specific roles of transducers and data acquisition systems within the monitoring devices are defined. Technical advancements in sensors, microcomputer processors, memory storage, batteries, wireless communication, and digital filters have made monitors more usable for subjects (smaller, more stable, and longer running time) and for researchers (less costly, higher time resolution and memory storage, shorter download time, and user-defined data features). FUTURE DIRECTIONS: Users and developers of physical activity monitors should learn about the basic properties of their sensors, such as range, accuracy, and precision, while considering the data acquisition/filtering steps that may be critical to data quality and may influence the desirable measurement outcome(s).

Entities:  

Mesh:

Year:  2012        PMID: 22157770      PMCID: PMC3245644          DOI: 10.1249/MSS.0b013e3182399bc8

Source DB:  PubMed          Journal:  Med Sci Sports Exerc        ISSN: 0195-9131            Impact factor:   5.411


  43 in total

1.  Reexamination of validity and reliability of the CSA monitor in walking and running.

Authors:  Søren Brage; Niels Wedderkopp; Paul W Franks; Lars Bo Andersen; Karsten Froberg
Journal:  Med Sci Sports Exerc       Date:  2003-08       Impact factor: 5.411

2.  Analysis of activities of daily living in elderly people living alone: single-subject feasibility study.

Authors:  Ryoji Suzuki; Mitsuhiro Ogawa; Sakuto Otake; Takeshi Izutsu; Yoshiko Tobimatsu; Shin-Ichi Izumi; Tsutomu Iwaya
Journal:  Telemed J E Health       Date:  2004       Impact factor: 3.536

Review 3.  Clinimetric review of motion sensors in children and adolescents.

Authors:  Sanne I de Vries; Ingrid Bakker; Marijke Hopman-Rock; Remy A Hirasing; Willem van Mechelen
Journal:  J Clin Epidemiol       Date:  2006-07       Impact factor: 6.437

4.  Development of novel techniques to classify physical activity mode using accelerometers.

Authors:  David M Pober; John Staudenmayer; Christopher Raphael; Patty S Freedson
Journal:  Med Sci Sports Exerc       Date:  2006-09       Impact factor: 5.411

5.  An artificial neural network model of energy expenditure using nonintegrated acceleration signals.

Authors:  Megan P Rothney; Megan Neumann; Ashley Béziat; Kong Y Chen
Journal:  J Appl Physiol (1985)       Date:  2007-07-19

6.  Comparing the performance of three generations of ActiGraph accelerometers.

Authors:  Megan P Rothney; Gregory A Apker; Yanna Song; Kong Y Chen
Journal:  J Appl Physiol (1985)       Date:  2008-07-17

7.  Heart rate response to therapeutic riding in children with cerebral palsy: an exploratory study.

Authors:  Lauren N Dirienzo; Lee T Dirienzo; Deborah A Baceski
Journal:  Pediatr Phys Ther       Date:  2007       Impact factor: 3.049

8.  Sound and speech detection and classification in a Health Smart Home.

Authors:  A Fleury; N Noury; M Vacher; H Glasson; J F Seri
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2008

9.  Daily activity recognition system for the elderly using pressure sensors.

Authors:  Joon-Ho Lim; Hyunchul Jang; Jaewon Jang; Soo-Jun Park
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2008

10.  Environmental supportiveness for physical activity in English schoolchildren: a study using Global Positioning Systems.

Authors:  Andrew P Jones; Emma G Coombes; Simon J Griffin; Esther Mf van Sluijs
Journal:  Int J Behav Nutr Phys Act       Date:  2009-07-17       Impact factor: 6.457

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  48 in total

1.  Accelerometry data in health research: challenges and opportunities.

Authors:  Marta Karas; Jiawei Bai; Marcin Strączkiewicz; Jaroslaw Harezlak; Nancy W Glynn; Tamara Harris; Vadim Zipunnikov; Ciprian Crainiceanu; Jacek K Urbanek
Journal:  Stat Biosci       Date:  2019-01-12

2.  Physical activity measured by physical activity monitoring system correlates with glucose trends reconstructed from continuous glucose monitoring.

Authors:  Chiara Zecchin; Andrea Facchinetti; Giovanni Sparacino; Chiara Dalla Man; Chinmay Manohar; James A Levine; Ananda Basu; Yogish C Kudva; Claudio Cobelli
Journal:  Diabetes Technol Ther       Date:  2013-08-14       Impact factor: 6.118

3.  Evaluation of the ability of three physical activity monitors to predict weight change and estimate energy expenditure.

Authors:  John B Correa; John W Apolzan; Desti N Shepard; Daniel P Heil; Jennifer C Rood; Corby K Martin
Journal:  Appl Physiol Nutr Metab       Date:  2016-03-14       Impact factor: 2.665

Review 4.  Physical activity: a synopsis and comment on "community-wide interventions for increasing physical activity".

Authors:  Sara A Hoffman; Jennifer L Warnick; Elena Garza; Bonnie Spring
Journal:  Transl Behav Med       Date:  2017-03       Impact factor: 3.046

5.  Assessment of pedometer accuracy in capturing habitual types of physical activities in overweight and obese children.

Authors:  Tom J Hazell; Caitlin V L Ellery; Tamara R Cohen; Catherine A Vanstone; Celia J Rodd; Hope A Weiler
Journal:  Pediatr Res       Date:  2016-06-24       Impact factor: 3.756

Review 6.  Evolution of accelerometer methods for physical activity research.

Authors:  Richard P Troiano; James J McClain; Robert J Brychta; Kong Y Chen
Journal:  Br J Sports Med       Date:  2014-04-29       Impact factor: 13.800

7.  Assessment of physical activity using wearable monitors: recommendations for monitor calibration and use in the field.

Authors:  Patty Freedson; Heather R Bowles; Richard Troiano; William Haskell
Journal:  Med Sci Sports Exerc       Date:  2012-01       Impact factor: 5.411

Review 8.  Physical activity assessment tools for use in overweight and obese children.

Authors:  C V L Ellery; H A Weiler; T J Hazell
Journal:  Int J Obes (Lond)       Date:  2013-07-05       Impact factor: 5.095

9.  Classification accuracy of the wrist-worn gravity estimator of normal everyday activity accelerometer.

Authors:  Whitney A Welch; David R Bassett; Dixie L Thompson; Patty S Freedson; John W Staudenmayer; Dinesh John; Jeremy A Steeves; Scott A Conger; Tyrone Ceaser; Cheryl A Howe; Jeffer E Sasaki; Eugene C Fitzhugh
Journal:  Med Sci Sports Exerc       Date:  2013-10       Impact factor: 5.411

10.  An intervention to reduce sitting and increase light-intensity physical activity at work: Design and rationale of the 'Stand & Move at Work' group randomized trial.

Authors:  Matthew P Buman; Sarah L Mullane; Meynard J Toledo; Sarah A Rydell; Glenn A Gaesser; Noe C Crespo; Peter Hannan; Linda Feltes; Brenna Vuong; Mark A Pereira
Journal:  Contemp Clin Trials       Date:  2016-12-07       Impact factor: 2.226

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