Adaptive Interventions for Prevention and Treatment in Behavioral Health

50. Deshpande, S. N.N. Nandola, D.E. Rivera, and J.W. Younger, "Optimized treatment of fibromyalgia using system identification and hybrid model predictive control, Control Engineering Practice, Vol. 33, pp. 161 - 173, 2014. ScienceDirect
49. Deshpande, S., D.E. Rivera, J.W. Younger, and N. N. Nandola, "A control systems engineering approach for adaptive behavioral interventions: illustration with a fibromyalgia intervention," Translational Behavioral Medicine, Vol 4, No. 3, pp. 275-289, 2014. Errratum in Vo. 4, No. 3, pp. 439, 2014. SpringerLink
48. Timms, K.P., C.A. Martin, D.E. Rivera, E.B. Hekler, and W.T. Riley, "Leveraging intensive longitudinal data to better understand health behaviors," Paper SB11.3, 36th Annual IEEE EMBS Conference, Chicago, Illinois, August 26-30, 2014.  Preprint
47. Riley, W.T., C.A. Martin, and D.E. Rivera, "The importance of behavior theory in control system modeling of physical activity sensor data," Paper SB11.1, 36th Annual IEEE EMBS Conference, Chicago, Illinois, August 26-30, 2014. Preprint
46. Dong, Y., S. Deshpande, D.E. Rivera, D. Downs, and J. Savage, "Hybrid model predictive control for sequential decision policies in adaptive behavioral interventions," Proceedings of the 2014 American Control Conference, Portland, Oregon, June 4-6, 2014. Preprint
45. Martin, C.A., D.E. Rivera, W. Riley, E. Hekler, M. Buman, M. Adams, and A. King, "A dynamical systems model of social cognitive theory," Proceedings of the 2014 American Control Conference, Portland, Oregon, June 4-6, 2014. Preprint
44. Timms, K.P., D.E. Rivera, M.E. Piper, and L.M. Collins, "A hybrid model predictive control strategy for optimizing a smoking cessation intervention," Proceedings of the 2014 American Control Conference, Portland, Oregon, June 4-6, 2014. Preprint
43. Savage, J.S., D.S. Downs, Y. Dong, and D.E. Rivera, "Control systems engineering for optimizing a prenatal weight gain intervention to regulate infant birth weight," American Journal of Public Health, e-View ahead of print, 2014. APHA Publications
42. Pina, A.A., L.E. Holly, A.A. Zerr, and D.E. Rivera, "A personalized and control systems engineering conceptual approach to target childhood anxiety in the contexts of cultural diversity," Journal of Clinical Child and Adolescent Psychology, Volume 43, Issue 3, pages 442-453, 2014. Taylor and Francis Online
41. Timms, K.P., D.E. Rivera, L.M. Collins, and M.E. Piper, "Continuous-time system identification of a smoking cessation intervention," International Journal of Control, Special Issue: Applications of Continuous-Time Model Identification and Estimation, Vol. 87, Issue 7, pgs. 1423-1437, 2014. Taylor and Francis Online
40. Timms, K.P., D.E. Rivera, L.M. Collins, and M.E. Piper, “A dynamical systems approach to understand self-regulation in smoking cessation behavior change,” Nicotine and Tobacco Research, Special Issue on New Methods for Advancing Research on Tobacco Dependence Using Ecological Momentary Assessments, 16 (Suppl 2): S159 - S168, 2014. Oxford Journals
39. Trail, J., L.M. Collins, D.E. Rivera, R. Li, and M. Piper “Functional data analysis for dynamical system identification of behavioral processes,” Psych. Methods, Vol 19(2), 175-187, 2014.  APA
38. Rivera, D.E. and H.B. Jimison, "Systems modeling of behavior change: two illustrations from optimized interventions for improved health outcomes," IEEE Pulse, Vol. 4, No. 6, pp. 41 - 47, 2013. IEEE Xplore
37. Hekler, E., M. Buman, N. Poothakandiyil, D.E. Rivera, J.M. Dzierzewski, A. Aiken-Morgan, C.S. McRae, B.L. Roberts, M. Marsiske, and P. Giacobbi, “Exploring Behavioral Markers of Long-term Physical Activity Maintenance: A Case Study of System Identification Modeling within a Behavioral Intervention,” Health Education and Behavior, Special Supplement on System Science Applications in Health Promotion and Public Health, 40(IS) 51S–62S, 2013.  Sage Journals
36. Rivera, D.E., "Optimized behavioral interventions: what does control systems engineering have to offer?," National Cancer Institute Behavioral Research Program - Crosstalk Lecture and Science of Research and Technology Branch Speaker Series - Disruptive Approaches from Academia, Government, and Industry,  July 17, 2013.

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Reference List

35.  Lopes dos Santos, S. Deshpande, D.E. Rivera, T-P Azevedo-Perdicoulis, J.A. Ramos, and J. Younger, "Identification of affine linear parameter varying models for adaptive interventions in fibromyalgia treatment," Proceedings of the 2013 American Control Conference, June 17-19, 2013, Washington, D.C.  PubMed
34. Timms, K.P., D.E. Rivera, L.M. Collins, and M.E. Piper, "Control systems engineering for understanding and optimizing smoking cessation interventions,"  Proceedings of the 2013 American Control Conference, June 17-19, 2013, Washington, D.C. Preprint
33. Dong, Y., D.E. Rivera, D.S. Downs, J.S. Savage, D.M. Thomas, and L.M. Collins, "Hybrid model predictive control for optimizing gestational weight behavioral interventions," Proceedings of the 2013 American Control Conference, June 17-19, 2013, Washington, D.C. Preprint
32. Rivera, D.E., "Optimized behavioral interventions: what does control systems engineering have to offer?," presentation as part of the Behaviour Change Initiative, University College, London, April 22, 2013.

Slides

Reference List

31. Rivera, D.E., "Optimized behavioral interventions: what does control systems engineering have to offer?," presentation to the Institute for Public Health and Medicine (IPHAM), Feinberg School of Medicine, Northwestern University, Dec. 19, 2012.

Video

Slides

Reference List

30. Rivera, D.E., "Optimized behavioral interventions: what does system identification and control systems engineering have to offer?," plenary paper, 16th IFAC Symposium on System Identification, Brussels, Belgium, July 11-13, 2012.

 Preprint

 Handout

29. Deshpande, S., D.E. Rivera, and J. Younger, "Towards patient-friendly input signal design for optimized pain treatment interventions," 16th IFAC Symposium on System Identification, Brussels, Belgium, July 11-13, 2012.  Preprint
28. Timms, K.P., D.E. Rivera, L.M. Collins, and M.E. Piper, "System identification modeling of a smoking cessation intervention," 16th IFAC Symposium on System Identification, Brussels, Belgium, July 11-13, 2012.  Preprint
27. Dong, Y., D.E. Rivera, D.M. Thomas, J.E. Navarro-Barrientos, D.S. Downs, J.S. Savage, and L.M. Collins, "A Dynamical Systems Model for Improving Gestational Weight Gain Behavioral Interventions," 2012 American Control Conference, Montreal, Canada, June 27-29, 2012.  Preprint
26. Rivera, D.E., K.P. Timms, J.B. Trail, M.E. Piper, and L.M. Collins, "Dynamical Systems Modeling using EMA Data: An Illustration from Smoking Cessation," 2012 SRNT Annual Meeting Pre-conference Workshop on New Methods, Houston, Texas, March 13, 2012.  Handout
25.  Nandola, N.N. and D.E. Rivera, "An improved formulation of hybrid predictive control with application to production-inventory systems," IEEE Transactions on Control Systems Technology, early access.  IEEE Xplore
24. Thomas, D.M., J.E. Navarro-Barrientos, D.E. Rivera, S.B. Heymsfield, C. Bredlau, L.M. Redman, C.K. Martin, S.A. Lederman, L.M. Collins, and N.F. Butte, "Dynamic energy-balance model predictiing gestational weight gain,"  American Journal of Clinical Nutrition,  Vol. 95, pgs. 115-122, January, 2012. Amer. Soc. for Nutrition
23. Nandola, N. and D.E. Rivera, "Hybrid Model Predictive Control applied to production-inventory systems," 18th IFAC World Congress, Milan, Italy, August 28-Sept. 2, 2011.  Preprint
22. Deshpande, S., N. Nandola, D.E. Rivera, and J. Younger, "A control engineering approach for designing an optimized treatment plan for fibromyalgia," 2011 American Control Conference, San Francisco, CA, June 29 - July 1, 2011.  Preprint
21. Rivera, D.E., K. Timms, J.B. Trail, J.E. Navarro-Barrientos, M.E. Piper, and L. Collins, "A novel dynamical systems approach to statistical mediation analysis," symposium on "Idiographic Methods: Important Alternative Research Methods for the Behavioral Sciences," 19th Annual Meeting of the Society for Prevention Research, May 31 - June 3, 2011.  Handout
20. Rivera, D.E., N. Nandola, and S. Deshpande, "Robust optimal decision policies for adaptive, time-varying interventions using Model Predictive Control," Invited Symposium: Drawing on Ideas from Engineering and Computer Science to Build Better Behavioral Interventions,  2011 Annual Meeting of the Society of Behavioral Medicine, Washington, DC, April 29, 2011.  Handout
19. Rivera, D.E., "Optimized behavioral interventions: what does dynamical systems and control engineering have to offer?," From Discovery to Public Health Impact: New Approaches to Developing, Testing, and Optimizing Behavioral Interventions, pre-conference workshop, 2011 Annual Meeting of the Society of Behavioral Medicine, Washington, DC, April 26, 2011.  Handout
18.

Riley, W.T., D.E. Rivera, A.A. Autienza, W. Nilsen, S. Allison, and R. Mermelstein,"Health behavior models in the age of mobile interventions: are our theories up to the task?" Translational Behavioral Medicine: Practice, Policy, Research, Vol. 1, No. 1, pgs. 53 – 71, March 2011.

 SpringerLink
17. Navarro-Barrientos, J.E., D.E. Rivera, and L.M. Collins, "A dynamical model for describing behavioural interventions for weight loss and body composition change," Mathematical and Computer Modelling of Dynamical Systems, Vol. 17, No. 2, pgs. 183-203, April 2011. Taylor and Francis
16. Rivera, D.E., "Optimized behavioral interventions: what does control systems engineering have to offer?" joint Prevention and Methodology Seminar, Penn State University, October 6, 2010.

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15. Nandola, N. and D.E. Rivera, "Model-on-Demand Predictive Control for Nonlinear Hybrid Systems, With Application to Adaptive Behavioral Interventions," 49th IEEE Conference on Decision and Control, Atlanta, GA, December 15-17, 2010.

IEEE Xplore

Preprint

14. Zafra-Cabeza, A., D.E. Rivera, L.M. Collins, M.A. Ridao, and E.F. Camacho, "A risk-based Model Predictive Control approach to adaptive interventions in behavioral health," IEEE Transactions on Control Systems Technology, early access. IEEE Xplore
13. Nandola, N. and D.E. Rivera, "A Novel Model Predictive Control Formulation for Hybrid Systems with Application to Adaptive Behavioral Interventions," 2010 American Control Conference, Baltimore, MD, June 30 - July 2, 2010.

IEEE Xplore

Preprint

12. Rivera, D.E., "Applying ideas from control systems engineering to behavioral interventions," Behavioral Intervention Optimization: Capitalizing on Engineering, Computer Science, and Technology, June 28, 2010.

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Reading List

11. Nandola, N. and D.E. Rivera, "Robust Optimal Decision Policies for Adaptive, Time-Varying Interventions for Model Predictive Control,"  symposium presentation, 18th Annual Meeting of the Society for Prevention Research, Denver, CO, June 3, 2010. Handout
10. Navarro-Barrientos, J.E., D.E. Rivera, D. Thomas, L.M. Collins, D. Symons-Downs, and L.L. Birch, "A Dynamical Systems Framework for Modeling Behavior Change Interventions to Prevent Excessive Gestational Weight Gain," symposium presentation, 18th Annual Meeting of the Society for Prevention Research, Denver, CO,  June 3, 2010. Handout
9. Rivera, D.E., "Engineering control theory: can it impact adaptive interventions?" tutorial presentation at the pre-conference workshop on systems science methodologies in prevention research, 18th Annual Meeting of the Society for Prevention Research, Denver, CO, June 1, 2010.

Handout

Reading List

8. Navarro-Barrientos, J.E. and D.E. Rivera, "A Dynamical Systems Model for Weight Change Behavioral Interventions," CSEL Technical Progress Report  2010-01, April 16, 2010.

Technical Report

7. Navarro-Barrientos, J.E., D.E. Rivera, and L.M. Collins, "A Dynamical Systems Model for Understanding Behavioral Interventions for Weight Loss,"  2010 International Conference on Social Computing, Behavioral Modeling, and Prediction (SBP 2010), Bethesda, MD, March 29 - April 1, 2010.

SpringerLink

Preprint

6. Rivera, D.E., M.D. Pew, and L.M. Collins, "Using engineering control principles to inform the design of adaptive interventions: A conceptual introduction," Drug and Alcohol Dependence, Special Issue on Adaptive Interventions,Vol. 88, Supplement 2, pgs. S31-S40, 2007. Science Direct
5. Zafra-Cabeza, A., D.E. Rivera, L.M. Collins, M.A. Ridao, and E.F. Camacho, "A risk-based Model Predictive Control approach to adaptive interventions in behavioral health," 45th IEEE Conference on Decision and Control, pgs. 673-678, San Diego, CA, Dec. 13 – 15, 2006. IEEE Xplore
4. Technical Report 05-73, The Methodology Center, Penn State University, "Engineering Control Approaches for the Design and Analysis of Adaptive, Time-Varying Interventions," D.E. Rivera, M.D. Pew, L.M. Collins, and S.A. Murphy, authors. Parental Function Excel Simulator. Technical Report
3. "Engineering Process Control Perspectives on Adaptive, Time-Varying Interventions," Brown Bag seminar to the Methodology Center, Penn State University, April 7, 2004 Presentation
2. “Model-on-Demand Estimation for Improved Identification and Control of Process Systems,” Workshop on Models for Intensive Longitudinal Data and Functional Data, McGill University, October 11-12, 2003, Presentation
1. “Engineering Process Control: Can it Impact the Management of Chronic, Relapsing Disorders?” seminar to The Methodology Center, Penn State University, March 19, 2003. Presentation