A control engineering approach for optimizing physical activity behavioral interventions

Cesar A. Martin, Daniel Rivera, Eric B. Hekler

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents the use of control engineering principles to optimize mobile and wireless health (mHealth) adaptive behavioral interventions for physical activity based on Social Cognitive Theory (SCT). SCT is a conceptual framework that describes human behavior and has been used in many health behavior interventions. An intervention for physical activity is formulated as a control systems problem relying on a dynamical model of SCT that is developed utilizing fluid analogies. To obtain values for model parameters, system identification experiments are designed including two phases: An initial informative stage followed by an optimized stage that incorporates 'patient-friendly' conditions. With the estimated model, a closed-loop intervention is formulated relying on Hybrid Model Predictive Control (HMPC). The HMPC algorithm includes a representation of categorical and discrete constraints that are inherent to behavioral interventions, and the recognition of behavioral initiation and maintenance phases. A simulation study is performed illustrating representative scenarios of the system (in both open and closed-loop).

Original languageEnglish (US)
Title of host publication2016 IEEE Ecuador Technical Chapters Meeting, ETCM 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509016297
DOIs
StatePublished - Nov 21 2016
Event2016 IEEE Ecuador Technical Chapters Meeting, ETCM 2016 - Guayaquil, Ecuador
Duration: Oct 12 2016Oct 14 2016

Other

Other2016 IEEE Ecuador Technical Chapters Meeting, ETCM 2016
CountryEcuador
CityGuayaquil
Period10/12/1610/14/16

Fingerprint

Model predictive control
engineering
cognitive theory
Health
predictive model
Identification (control systems)
Control systems
health behavior
Fluids
control system
scenario
Experiments
simulation
experiment
health
Values

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Energy Engineering and Power Technology
  • Sociology and Political Science

Cite this

Martin, C. A., Rivera, D., & Hekler, E. B. (2016). A control engineering approach for optimizing physical activity behavioral interventions. In 2016 IEEE Ecuador Technical Chapters Meeting, ETCM 2016 [7750851] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ETCM.2016.7750851

A control engineering approach for optimizing physical activity behavioral interventions. / Martin, Cesar A.; Rivera, Daniel; Hekler, Eric B.

2016 IEEE Ecuador Technical Chapters Meeting, ETCM 2016. Institute of Electrical and Electronics Engineers Inc., 2016. 7750851.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Martin, CA, Rivera, D & Hekler, EB 2016, A control engineering approach for optimizing physical activity behavioral interventions. in 2016 IEEE Ecuador Technical Chapters Meeting, ETCM 2016., 7750851, Institute of Electrical and Electronics Engineers Inc., 2016 IEEE Ecuador Technical Chapters Meeting, ETCM 2016, Guayaquil, Ecuador, 10/12/16. https://doi.org/10.1109/ETCM.2016.7750851
Martin CA, Rivera D, Hekler EB. A control engineering approach for optimizing physical activity behavioral interventions. In 2016 IEEE Ecuador Technical Chapters Meeting, ETCM 2016. Institute of Electrical and Electronics Engineers Inc. 2016. 7750851 https://doi.org/10.1109/ETCM.2016.7750851
Martin, Cesar A. ; Rivera, Daniel ; Hekler, Eric B. / A control engineering approach for optimizing physical activity behavioral interventions. 2016 IEEE Ecuador Technical Chapters Meeting, ETCM 2016. Institute of Electrical and Electronics Engineers Inc., 2016.
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