Literature DB >> 18411557

Telemetric monitoring in the behavior sciences.

Matthew S Goodwin1, Wayne F Velicer, Stephen S Intille.   

Abstract

This article reviews recent advances in telemetrics, a class of wireless information systems technology that can collect and transmit a wide variety of behavioral and environmental data remotely. Telemetrics include wearable computers that weave on-body sensors into articles of clothing, ubiquitous computers that embed sensors and transmitters seamlessly into the environment, and handheld devices, such as mobile phones and personal digital assistants, that can record cognitive and affective states. Examples of telemetric applications are provided to illustrate how this technology has been used in the behavioral sciences to unobtrusively and repeatedly gather physiological, behavioral, environmental, cognitive, and affective data in natural settings. Special issues relating to privacy and confidentiality, practical considerations, and statistical and measurement challenges when telemetrics are used are also discussed.

Mesh:

Year:  2008        PMID: 18411557     DOI: 10.3758/brm.40.1.328

Source DB:  PubMed          Journal:  Behav Res Methods        ISSN: 1554-351X


  16 in total

1.  Human behavioral informatics in genetic studies of neuropsychiatric disease: multivariate profile-based analysis.

Authors:  Cinnamon S Bloss; Kelly M Schiabor; Nicholas J Schork
Journal:  Brain Res Bull       Date:  2010-04-28       Impact factor: 4.077

2.  Internet-based contingency management to promote smoking cessation: a randomized controlled study.

Authors:  Jesse Dallery; Bethany R Raiff; Michael J Grabinski
Journal:  J Appl Behav Anal       Date:  2013-09-30

3.  Optimizing behavioral health interventions with single-case designs: from development to dissemination.

Authors:  Jesse Dallery; Bethany R Raiff
Journal:  Transl Behav Med       Date:  2014-09       Impact factor: 3.046

4.  Typology of alcohol users based on longitudinal patterns of drinking.

Authors:  Magdalena Harrington; Wayne F Velicer; Susan Ramsey
Journal:  Addict Behav       Date:  2013-11-27       Impact factor: 3.913

5.  Optimal sampling strategies for characterizing behavior and affect from ambulatory audio recordings.

Authors:  Megan Micheletti; Kaya de Barbaro; Michelle D Fellows; J Gregory Hixon; Richard B Slatcher; James W Pennebaker
Journal:  J Fam Psychol       Date:  2020-04-09

6.  The Role of Ambulatory Assessment in Psychological Science.

Authors:  Timothy J Trull; Ulrich Ebner-Priemer
Journal:  Curr Dir Psychol Sci       Date:  2014-12

7.  Effect of accelerometry on the functional mobility of older rehabilitation inpatients as measured by functional independence measure--locomotion (FIM) gain: a retrospective matched cohort study.

Authors:  L Dakin; N Peel
Journal:  J Nutr Health Aging       Date:  2011-05       Impact factor: 4.075

Review 8.  Behavioral research in cancer prevention and control: a look to the future.

Authors:  William M P Klein; Michele Bloch; Bradford W Hesse; Paige G McDonald; Linda Nebeling; Mary E O'Connell; William T Riley; Stephen H Taplin; Gina Tesauro
Journal:  Am J Prev Med       Date:  2014-03       Impact factor: 5.043

9.  Comparing Visual and Statistical Analysis in Single-Case Studies Using Published Studies.

Authors:  Magadalena Harrington; Wayne F Velicer
Journal:  Multivariate Behav Res       Date:  2015       Impact factor: 5.923

10.  Simple, Transparent, and Flexible Automated Quality Assessment Procedures for Ambulatory Electrodermal Activity Data.

Authors:  Ian R Kleckner; Rebecca M Jones; Oliver Wilder-Smith; Jolie B Wormwood; Murat Akcakaya; Karen S Quigley; Catherine Lord; Matthew S Goodwin
Journal:  IEEE Trans Biomed Eng       Date:  2017-10-02       Impact factor: 4.538

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