Publications

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Our Cortisol Pulsatile Control Research Featured on Frontiers Homepage

 

Peer-Reviewed Journal and Conference Papers

 


Seet M. S., Amin M. R., Abbasi N. I., Hamano J., Bezerianos A., Faghih R.T. , Thakor N. V., Dragomir A., “Olfactory-induced Positive Affect and Autonomous Response as a Function of Hedonic and Intensity Attributes of Fragrances,” Submitted.

 



Casile A, Faghih R.T.
, Brown E. N., “Robust point-process Granger causality analysis in presence of exogenous temporal modulations and trial-by-trial variability in spike trains,” Submitted.

 



Fekri Azgomi H, and Faghih R.T., “Closed-Loop Cognitive Stress Regulation using Fuzzy Control in Wearable-Machine Interface Architectures,” Submitted.

 



Genty J. X., Amin M.R., Shaw N. D., Klerman E. B., and Faghih R.T., “Sparse Deconvolution of Pulsatile Growth Hormone Secretion in Children,” Submitted.

 

 



Amin M.R., and Faghih R.T., “Robust Inference of Autonomic Nervous System Activation using Skin Conductance Measurements: A Multi-Channel Sparse System Identification Approach,” IEEE Access, 2019.


 


Pednekar D, Amin M.R., Fekri Azgomi H, Aschbacher K,  J. Crofford L, and Faghih R.T., “Characterization of Cortisol Dysregulation in Fibromyalgia Syndrome: A State-Space Approach,” Submitted.

 


 

Wickramasuriya, D.S., and Faghih R.T., “A Mixed Filter Algorithm for Sympathetic Arousal Tracking from Skin Conductance and Heart Rate Measurements in Pavlovian Fear Conditioning,” Submitted.

 


 


Fekri Azgomi H, and Faghih R.T., “A Wearable Brain Machine Interface Architecture for Regulation of Energy in Hypercortisolism,” 53rd Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, 2019.


 


Badri Ahmadi M, Craik A, Fekri Azgomi H,  Francis J. T.Contreras-Vidal J.L., and Faghih R.T., “Real-Time Seizure State Tracking using Two Channels: A Mixed-Filter Approach,IEEE Asilomar Conference on Signals, Systems and Computers 2019.


 


Yadav T, Atique Md M, Fekri Azgomi H,  Francis J. T., and Faghih R.T., “Emotional Valence Tracking and Classification via State-Space Analysis of Facial Electromyography,” IEEE Asilomar Conference on Signals, Systems and Computers 2019.


 


Ravindran A.S., Nakagome S., Wickramasuriya D.S., Contreras-Vidal J.L., and Faghih R.T., “Emotion Recognition by Point Process Characterization of Heartbeat Dynamics,” the IEEE-EMB Special Topics Conference on Healthcare Innovations and Point-of-Care Technologies, Bethesda, MD, 2019.


 

Wickramasuriya D.S., Tessmer M.K. and Faghih R.T., “Facial Expression-Based Emotion Classification using Electrocardiogram and Respiration Signals,” the IEEE-EMB Special Topics Conference on Healthcare Innovations and Point-of-Care Technologies, Bethesda, MD, 2019.

 


 

Wickramasuriya D.S., Amin M.R.. and Faghih R.T.Skin Conductance as a Viable Alternative for Closing the Deep Brain Stimulation Loop in Neuropsychiatric DisordersFrontiers in Neuroscience 13:780, 2019. doi: 10.3389/fnins.2019.00780

 


 

Taghvafard, H., Cao, M., Kawano, Y. and Faghih, R.T., 2019. Design of Intermittent Control for Cortisol Secretion under Time-Varying Demand and Holding Cost Constraints. IEEE Transactions on Biomedical Engineering.

 


 


Fekri Azgomi H, Wickramasuriya D.S., and Faghih R.T., “State-Space Modeling and Fuzzy Feedback Control of Cognitive Stress,” The Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Berlin, Germany, 2019.

 


 

 

Pednekar D, Amin M.R., Fekri Azgomi H, Aschbacher K,  J. Crofford L, and Faghih R.T., “A System Theoretic Investigation of Cortisol Dysregulation in Fibromyalgia Patients with Chronic  Fatigue,” The Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Berlin, Germany, 2019. 


 

Parshi S, Amin M.R., Fekri Azgomi H, and Faghih R.T., “Mental Workload Classification via Hierarchical Latent Dictionary Learning: A Functional Near Infrared Spectroscopy Study,IEEE-EMBS International Conference on Biomedical and Health Informatics, Chicago, IL, 2019.

 


 

Wickramasuriya D.S., and Faghih R.T., “A Cortisol-Based Energy Decoder for Investigation of Fatigue in Hypercortisolism,” The Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Berlin, Germany, 2019.


 

Wickramasuriya D.S., and Faghih R.T., “A Novel Filter for Tracking Real-World Cognitive Stress using Multi-Time-Scale Point Process Observations,” The Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Berlin, Germany, 2019.


 

Wickramasuriya D.S., and Faghih R.T., “A Bayesian Filtering Approach for Tracking Arousal from Binary and Continuous Skin Conductance Features,” IEEE Transactions on Biomedical Engineering, 2019. (supplementary info)


 

 

Amin M.R., and Faghih R.T., “Tonic and Phasic Decomposition of Skin Conductance Data: A Generalized-Cross-Validation-Based Block Coordinate Descent Approach,” The Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Berlin, Germany, 2019.


 

 Amin M.R., and Faghih R.T., “Sparse Deconvolution of Electrodermal Activity via Continuous-Time System Identification,” IEEE Transactions on Biomedical Engineering, 2019.

This paper proposes a convex optimization scheme for deconvolution to overcome the non-convexity challenge in system parameter estimation of electrodermal activity. The method is proposed based on the continuous-system identification with modulating function technique with a novel adaptive frequency band selection method. (supplementary_info)


Amin M.R., and Faghih R.T., “Inferring Autonomic Nervous System Stimulation from Hand and Foot Skin Conductance Measurements,”  52nd Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, 2018.

This paper proposes a state-space model relating skin conductance signals from different locations of the body with a single neural stimuli input from the autonomic nervous system. It also provides a concurrent deconvolution algorithm to recover the neural stimuli from the concurrent recordings of skin conductance data from hand and foot. The deconvolution results can be used as observations to decode mental stress.


 

Wickramasuriya D.S., Qi C., and Faghih R.T., “A State-Space Approach for Detecting Stress from Electrodermal Activity,” the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Honolulu, HI, 2018. [Video]


 

 

Faghih, R.T.From Physiological Signals to Pulsatile Dynamics: A Sparse System Identification Approach,” In Dynamic Neuroscience, p. 239-265. Springer, Cham, 2018.

 


Vargas I., Vgontzas A., Abelson J.L., Faghih R.T., Morales K.H., Perlis M.L., “Altered Ultradian Cortisol Rhythmicity as a Potential Neurobiologic Substrate for Chronic Insomnia,” Sleep Medicine Reviews, 2018.

 

 


 

Wickramasuriya D.S., and Faghih R.T., “Online and Offline Anger Detection via Electromyography Analysis,” the IEEE-NIH Special Topics Conference on Healthcare Innovations and Point-of-Care Technologies, Bethesda, MD, 2017.  [PDF] [Poster]

 

 


Faghih R.T., Styer A.K., and Brown E.N., “Automated Ovarian Follicular Monitoring: A Novel Real-time Approach,” the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Seogwipo, South Korea, p. 632-635, 2017.

 



Faghih R.T.
, Dahleh M.A., Adler G., Klerman E., and Brown E.N., “Quantifying Pituitary Adrenal Dynamics: Deconvolution of Concurrent Cortisol and Adrenocorticotropic Hormone Data by Compressed Sensing,” IEEE Transactions on Biomedical Engineering,  62(10): 2379-2388, 2015. [supplementary information]

 



 

Faghih R.T., Dahleh M.A., and Brown E.N., “An Optimization Formulation for Characterization of Pulsatile Cortisol Secretion,” Frontiers in Neuroscience, 9, 228, 2015 (Featured on Frontiers homepage from August 27, 2015 to September 2, 2015).

 



Faghih R.T.
, Stokes, P., Marin M.F., Zsido R., Zorowitz S., Rosenbaum B., Song H., Milad R., Dougherty D., Eskandar E., Widge A., Brown E.N., Barbieri R., “Characterization of Fear Conditioning and Fear Extinction by Analysis of Electrodermal Activity,” the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Milan, Italy, p. 7814-7818, 2015.

 


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Deng X., Faghih R.T., Barbieri R., Paulk A.C., Asaad W., Brown E.N., Dougherty D., Widge A., Eskandar E., Eden U, “Estimating a Dynamic State to Relate Neural Spiking Activity to Behavioral Signals during Cognitive Tasks,” the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Milan, Italy, p.7808-7813, 2015.

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Faghih R.T., Dahleh M.A., Adler G., Klerman E., and Brown E.N., “Deconvolution of Serum Cortisol Levels by Using Compressed Sensing,”PLoS ONE 9(1): e85204. doi:10.1371/journal.pone.0085204, January 2014.       

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Faghih R.T., Savla K., Dahleh M.A., and Brown E.N., “Broad Range of Neural Dynamics from a Time-Varying FitzHugh-Nagumo Model and Its Spiking Threshold Estimation,” IEEE Transactions on Biomedical Engineering, Vol. 59, No. 3, pages 816-823, 2012. [Example Simulink Block]

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Faghih R.T.
, Savla K., Dahleh M.A., and Brown E.N., “A Feedback Control Model for Cortisol Secretion.” In Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Boston, MA, p.716-719, 2011.

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Faghih R.T.
, Savla K., Dahleh M.A., and Brown E.N., “The FitzHugh-Nagumo Model: Firing Modes with Time Varying Parameters and Parameter Estimation,” In Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Buenos Aires, Argentina, p. 4116-4119, 2010.


 


Antonsen T.M., Faghih R.T., Girvan M., Ott E., and Platig J., “External Periodic Driving of Large Systems of Globally Coupled Phase Oscillators,” Chaos, An Interdisciplinary Journal of Nonlinear Science. 2008;18(3):037112.

 


Patents

Faghih R.T., Wearable Machine Interface System for Tracking and Controlling Mental Stress Related Brain Dynamics using Wrist-Worn Wearable Devices, 2018. US Patent App. 62/614,070.

Faghih R.T., Styer A. K., Brown, E. N. “System and Method for Automated Ovarian Follicular Monitoring,” International Patent Application No.:  PCT/US2017/041111.

Faghih R.T., Brown E.N., Dahleh M.A. “System and Method for Neuroendocrine Control,” U.S. Patent Application No. 15/170,900.

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