T4 Publications

YEAR 7

• Pai, Amruta, Santiago, Rony, Glantz, Namino, Bevier, Wendy, Barua, Souptik, Sabharwal, Ashutosh & Kerr, David. “Multimodal digital phenotyping of diet, physical activity, and glycemia in Hispanic/Latino adults with or at risk of type 2 diabetes.”
• Do, Edmund, Das, Anurag, Glanz, Namino, Bevier, Wendy, Santiago, Rony, Kerr, David, Gutierrez-Osuna, Ricardo, Mortazavi, Bobak J. “Modeling the effect of non-exercise activity on peak post-prandial glucose in diabetes.”
• Zhang, Lida, Huang, Sicong, Das, Anurag, Do, Edmund, Glantz, Namino, Bevier, Wendy, Santiago, Rony, Kerr, David, Gutierrez-Osuna, Ricardo, Mortazavi, Bobak J. “Joint Embedding of Food Photographs and Blood Glucose for Improved Calorie Estimation.”
• Zahed, Karim, Markert, Carl, Dunn, Patrick, Sasangohar, Farzan. “Investigating the effect of an mHealth coaching intervention on health beliefs, adherence and blood pressure of patients with hypertension: A longitudinal single group pilot study.”
• Hayek, Michelle A., Giannouchos, Theodoros, Lawley, Mark, Kum, Hye-Chung. “Economic Evaluation of Blood Pressure Monitoring Techniques in Patients With Hypertension: A Systematic Review.”
• *Son, Changwon, Hegde, Sudeep, Markert, Carl, Zahed, Karim, Sasangohar, Farzan. “Use of a Mobile Biofeedback App to Provide Health Coaching for Stress Self-management: Pilot Quasi-Experiment.”
• Bonet-Olivencia, Samuel, Carrillo-Leal, Jesus, Rao, Arjun, Sasangohar, Farzan. “User-Centered Design of a Diabetes Self-Management Tool for Underserved Populations.”
• Barua, Souptik, Glantz, Namino, Larez, Arianna, Bevier, Wendy, Sabharwal, Ashutosh, Kerr, David. “A probabilistic computation framework to estimate the dawn phenomenon in type 2 diabetes using continuous glucose monitoring.”
• Ismail, H.M., Barua, S., Wang, J., Sabharwal, A., Libman, I., Bacha, F., et al. Baseline leptin predicts response to metformin in adolescents with type 1 diabetes and increased body mass index. Diabetes, Obesity and Metabolism. 2023;25(11):3420-3.
• Hayek, M.A., Catacora, A., Lawley, M.A., Kum, H.-C., Ohsfeldt, R.L. Economic Impact of Ambulatory Blood Pressure Monitoring Compared With Clinical Blood Pressure Monitoring: A Simulation Model. Health Services Insights. 2024;17:11786329241283797.
• Pai, R., Barua, S., Kim, B.S., McDonald, M., Wierzchowska-McNew, R.A., Pai, A., et al. Estimating Breakfast Characteristics Using Continuous Glucose Monitoring and Machine Learning in Adults With or at Risk of Type 2 Diabetes. Journal of Diabetes Science and Technology. 2024:19322968241274800.
• Sato Imuro, S.E., Sabharwal, A., Bevier, W., Kerr, D. Evaluating HbA1c-to-average glucose conversion with patient-specific kinetic models for diverse populations. Sci Rep-Uk. 2024;14(1):22098.
• Ebekozien, O., Fantasia, K., Farrokhi, F., Sabharwal, A., Kerr, D. Technology and health inequities in diabetes care: How do we widen access to underserved populations and utilize technology to improve outcomes for all? Diabetes, Obesity and Metabolism. 2024;26:3-13.
• Cheung, M.Y., Sabharwal, A., Cote, G.L., Veeraraghavan, A. Wearable Blood Pressure Monitoring Devices: Understanding Heterogeneity in Design and Evaluation. IEEE Transactions on Biomedical Engineering. 2024.

YEAR 6

• Schueler, Jordan, Samantha R. Philip, Darya Vitus, Solangia Engler, and Sherecce A. Fields. “Group differences in binge eating, impulsivity, and intuitive and mindful eating among intermittent fasters and non-fasters.” Appetite 182 (2023): 106416.
• Sato Imuro, Sandra E., David Kerr, Wendy C. Bevier, and Ashutosh Sabharwal. “140-LB: Use of Apparent Glycation Ratio (AGR) to Correct Average Glucose (AG) Estimation from CGM Profiles in T1DM, T2DM, and Prediabetes.” Diabetes 72, no. Supplement_1 (2023).
• Fields, Sherecce, Kianna Arthur, Jordan Schueler, and Rachel Smallman. “Using a counterfactual-based intervention to change eating intentions: Results from Hispanic and non-Hispanic undergraduate and community samples.” Appetite 183 (2023): 106460.
• Bonet Olivencia, Samuel, and Farzan Sasangohar. “A sociotechnical framework for integration of telehealth into clinical workflow.” IISE Transactions on Healthcare Systems Engineering (2023): 1-12.
• Dvir, Rotem, Carol Goldsmith, Ian Seavey, Arnold Vedlitz, Julie Hammett, Samuel Bonet, Arjun Rao, Karim Zahed, and Farzan Sasangohar. “The policy environment of remote patient monitoring: evaluating stakeholders’ views.” International Journal of Healthcare Technology and Management 20, no. 3 (2023): 249-275.
• Jahromi, Reza, Karim Zahed, Farzan Sasangohar, Madhav Erraguntla, Ranjana Mehta, and Khalid Qaraqe. “Hypoglycemia Detection Using Hand Tremors: Home Study of Patients With Type 1 Diabetes.” JMIR diabetes 8, no. 1 (2023): e40990.
• Prasanna, Sahana, Souptik Barua, Alejandro F. Siller, Jeremiah J. Johnson, Ashutosh Sabharwal, and Daniel J. DeSalvo. “Hypoglycemia risk with physical activity in type 1 diabetes: a data-driven approach.” Frontiers in Digital Health 5 (2023): 1142021.
• Imuro, Sandra Emi Sato, Ashutosh Sabharwal, Casey Conneely, Namino Glantz, Wendy Bevier, Souptik Barua, Amruta Pai, Arianna Larez, and David Kerr. “Temporal changes in bio-behavioral and glycemic outcomes following a produce prescription program among predominantly Hispanic/Latino adults with or at risk of type 2 diabetes.” Heliyon 9, no. 8 (2023).
• Park, Sulki, Hye-Chung Kum, Qi Zheng, and Mark A. Lawley. “Real-World Adherence and Effectiveness of Remote Patient Monitoring Among Medicaid Patients With Diabetes: Retrospective Cohort Study.” Journal of Medical Internet Research 25 (2023): e45033.
• Pai, Amruta, and Ashutosh Sabharwal. “Calorie Compensation Patterns Observed in App-Based Food Diaries.” Nutrients 15, no. 18 (2023): 4007.
• Zahed, Karim, Ranjana Mehta, Madhav Erraguntla, Khalid Qaraqe, and Farzan Sasangohar. “Understanding Patient Beliefs in Using Technology to Manage Diabetes: Path Analysis Model From a National Web-Based Sample.” JMIR diabetes 8 (2023): e41501.
• Wagle, Nikita Sandeep, Jordan Schueler, Solangia Engler, Mark Lawley, Sherecce Fields, and Hye-Chung Kum. “A Systematic Review of Patient-Perceived Barriers and Facilitators to the Adoption and Use of Remote Health Technology to Manage Diabetes and Cardiovascular Disease among Disproportionately Affected Populations.” In AMIA Annual Symposium Proceedings, vol. 2022, p. 1108. American Medical Informatics Association, 2022.
• Aljihmani L, Kerdjidj O, Petrovski G, Erraguntla M, Sasangohar F, Mehta RK, Qaraqe K. “Hand tremor-based hypoglycemia detection and prediction in adolescents with type 1 diabetes.” Biomedical Signal Processing and Control. 2022 Sep 1;78:103869.
• Barua S, Wierzchowska-McNew RA, Deutz NE, Sabharwal A. “Discordance between postprandial plasma glucose measurement and continuous glucose monitoring.” The American Journal of Clinical Nutrition. 2022 Oct 1;116(4):1059-69.
• *Moukaddam N, Saragadam V, Abbasi M, Barnett M, Vadathya AK, Veeraraghavan A, Sabharwal A. “Evolution of mood symptomatology through the COVID-19 pandemic: findings from the CovidSense longitudinal study.“ Cureus. 2022 Oct 3;14(10).
• O’Bryan L, Oxendahl T, Chen X, McDuff D, Segarra S, Wettergreen M, Beier ME, Sabharwal A. “Objective Communication Patterns Associated With Team Member Effectiveness in Real-World Virtual Teams. Human Factors.” 2024 May;66(5):1414-30.
• Perez O, Vadathya AK, Beltran A, Barnett RM, Hindera O, Garza T, Musaad SM, Baranowski T, Hughes SO, Mendoza JA, Sabharwal A. “The Family Level Assessment of Screen Use–Mobile Approach: Development of an Approach to Measure Children’s Mobile Device Use.” JMIR Formative Research. 2022 Oct 21;6(10):e40452.
• Abbasi M, Tosur M, Astudillo M, Refaey A, Sabharwal A, Redondo MJ. “Clinical Characterization of Data-Driven Diabetes Clusters of Pediatric Type 2 Diabetes.” Pediatric Diabetes. 2023 Jul 18;2023.
• Li C, Chen W, Yuan J, Lin YC, Sabharwal A. “ERSAM: Neural Architecture Search for Energy-Efficient and Real-Time Social Ambiance Measurement.“ In ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2023 Jun 4 (pp. 1-5). IEEE.

YEAR 5

• Akash Kumar Maity, Ashok Veeraraghavan, Ashutosh Sabharwal, “PPGMotion: Model-based detection of motion artifacts in photoplethysmography signals, Biomedical Signal Processing and Control“, Volume 75, 2022, 103632, ISSN 1746-8094, https://doi.org/10.1016/j.bspc.2022.103632.
• Prasanna S, Barua S, Johnson JJ, Siller AF, Sabharwal A, Desalvo D. “239-OR: Physical Activity, Hypoglycemia, and Type 1 Diabetes: A Data-Driven Approach. Diabetes.” 2022 Jun 1;71(Supplement_1).
• A. Das et al., “Predicting the Macronutrient Composition of Mixed Meals From Dietary Biomarkers in Blood,” in IEEE Journal of Biomedical and Health Informatics, vol. 26, no. 6, pp. 2726-2736, June 2022, doi: 10.1109/JBHI.2021.3134193.
• B. Ghanekar B, Saragadam V, Mehra D, Gustavsson AK, Sankaranarayanan AC, Veeraraghavan A. “PS $^{2} $ F: Polarized Spiral Point Spread Function for Single-Shot 3D Sensing.“ IEEE Transactions on Pattern Analysis and Machine Intelligence. 2022 Aug 29.
• C. Bonet Olivencia S, Rao AH, Smith A, Sasangohar F. “Eliciting Requirements for a Diabetes Self-Management Application for Underserved Populations: A Multi-Stakeholder Analysis.” Int J Environ Res Public Health. 2021 Dec 23;19(1):127. doi: 10.3390/ijerph19010127. PMID: 35010385; PMCID: PMC8751044.
• Kerr D, Abbasi M, Bevier W, Glantz N, Larez A, Sabharwal A. “Patterns of Timing and Intensity of Physical Activity and HbA1c Levels in Hispanic/Latino Adults With or at Risk of Type 2 Diabetes.” Journal of Diabetes Science and Technology. 2022;0(0). doi:10.1177/19322968221105531.
• Engler, S., Fields, S., Leach, W. et al. “Real-Time Continuous Glucose Monitoring as a Behavioral Intervention Tool for T2D: A Systematic Review.” J. technol. behav. sci. 7, 252–263 (2022). https://doi.org/10.1007/s41347-022-00247-5.
• Pai A, Sabharwal A. “Food Habits: Insights from Food Diaries via Computational Recurrence Measures. Sensors.” 2022 Apr 2;22(7):2753.
• Barua S, A Wierzchowska-McNew R, Deutz NE, Sabharwal A. “Discordance between postprandial plasma glucose measurement and continuous glucose monitoring.” The American Journal of Clinical Nutrition. 2022 Oct;116(4):1059-69.
• Das A, Mortazavi B, Deutz N, Gutierrez-Osuna R. “Modeling Individual Differences in Food Metabolism through Alternating Least Squares.” In 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) 2022 Jul 11 (pp. 2988-2992). IEEE.
• Omidvar S, Roghanizad AR, Chikwetu L, Ash G, Dunn J, Mortazavi BJ. “Enhancing Continuous Glucose Monitoring-based Eating Detection with Wearable Biomarkers.” In2022 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI) 2022 Sep 27 (pp. 1-4). IEEE.
• E. M. Nowara, D. McDuff and A. Veeraraghavan, “The Benefit of Distraction: Denoising Camera-Based Physiological Measurements using Inverse Attention,” 2021 IEEE/CVF International Conference on Computer Vision (ICCV), Montreal, QC, Canada, 2021, pp. 4935-4944, doi: 10.1109/ICCV48922.2021.00491.
• Y. Fu et al., “SACoD: Sensor Algorithm Co-Design Towards Efficient CNN-powered Intelligent PhlatCam,” 2021 IEEE/CVF International Conference on Computer Vision (ICCV), Montreal, QC, Canada, 2021, pp. 5148-5157, doi: 10.1109/ICCV48922.2021.00512.

YEAR 4

• Yang, Michael, Projna Paromita, Theodora Chaspari, Anurag Das, Seyedhooman Sajjadi, Bobak J Mortazavi, and Ricardo Gutierrez-Osuna. 2021. “A Metric Learning Approach for Personalized Meal Macronutrient Estimation from Postprandial Glucose Response Signals.” In 2021 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI), 1–5.
• Das, Anurag, Seyedhooman Sajjadi, Bobak Mortazavi, Theodora Chaspari, Projna Paromita, Laura Ruebush, Nicolaas Deutz, and Ricardo Gutierrez-Osuna. 2021. “A Sparse Coding Approach to Automatic Diet Monitoring with Continuous Glucose Monitors.” In ICASSP 2021 – 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2900–2904.
• Park, Sulki, Hye Chung Kum, Michael A. Morrisey, Qi Zheng, and Mark A. Lawley. 2021. “Adherence to Telemonitoring Therapy for Medicaid Patients with Hypertension: Case Study.” Journal of Medical Internet Research 23 (9): 1–12.
• Valero-Elizondo, Javier, Fouad Chouairi, Rohan Khera, Gowtham R Grandhi, Anshul Saxena, Haider J Warraich, Salim S Virani, et al. 2021. “Atherosclerotic Cardiovascular Disease, Cancer, and Financial Toxicity Among Adults in the United States.” JACC: CardioOncology 3 (2): 236–46.
• Bonet, Samuel, and Farzan Sasangohar. 2020. “Developing a Framework for Telehealth Integration into Clinical Workflow.” Proceedings of the Human Factors and Ergonomics Society Annual Meeting 64 (1): 618–19.
• Barua, Souptik, Ashutosh Sabharwal, Namino Glantz, Casey Conneely, Arianna Larez, Wendy Bevier, and David Kerr. 2021. “Dysglycemia in Adults at Risk for or Living with Non-Insulin Treated Type 2 Diabetes: Insights from Continuous Glucose Monitoring.” EClinicalMedicine 35: 100853.
• Kerr, David, Souptik Barua, Namino Glantz, Casey Conneely, Mary Kujan, Wendy Bevier, Arianna Larez, and Ashutosh Sabharwal. 2020. “Farming for Life: Impact of Medical Prescriptions for Fresh Vegetables on Cardiometabolic Health for Adults with or at Risk of Type 2 Diabetes in a Predominantly Mexican-American Population.” BMJ Nutrition, Prevention and Health 3 (2): 239–46.
• Huang, Luzhe, Tairan Liu, Xilin Yang, Yi Luo, Yair Rivenson, and Aydogan Ozcan. 2021. “Holographic Image Reconstruction with Phase Recovery and Autofocusing Using Recurrent Neural Networks.” ACS Photonics 8 (6): 1763–74.
• Ajmal, Ajmal, Tananant Boonya-Ananta, Andres J Rodriguez, Vinh Nguyen Du Le, and Jessica C Ramella-Roman. 2021. “Investigation of Optical Heart Rate Sensors in Wearables and the Influence of Skin Tone and Obesity on Photoplethysmography (PPG) Signal.” In SPIE. Vol. 11638.
• Hagve, Martin, Sunday Y Simbo, Laura E Ruebush, Marielle P K J Engelen, Ricardo Gutierrez-Osuna, Bobak J Mortazavi, Gerard L Cote, and Nicolaas E P Deutz. 2021. “Postprandial Concentration of Circulating Branched Chain Amino Acids Are Able to Predict the Carbohydrate Content of the Ingested Mixed Meal.” Clinical Nutrition 40 (8): 5020–29.
• Barua, Souptik, ANGELA ZHANG, Ashutosh Sabharwal, and DANIEL DESALVO. 2021. “Revisiting the Rule of 500: Data-Driven Insights from Sensor Augmented Pump Therapy.” Diabetes 70 (June): 218-OR.
• Fine, Jesse, Kimberly L. Branan, Andres J. Rodriguez, Tananant Boonya-Ananta, Ajmal, Jessica C. Ramella-Roman, Michael J. McShane, and Gerard L. Coté. 2021. “Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring.” Biosensors. MDPI.
• Boonya-Ananta, Tananant, Andres J Rodriguez, Ajmal Ajmal, Du Le, Joshua D Hutcheson, and Jessica C Ramella-Roman. 2021. “Synthetic Photoplethysmographic Waveform at the Radial Artery.” In SPIE. Vol. 11640.
• Boonya-ananta, Tananant, Andres J. Rodriguez, Ajmal Ajmal, Vinh Nguyen Du Le, Anders K. Hansen, Joshua D. Hutcheson, and Jessica C. Ramella-Roman. 2021. “Synthetic Photoplethysmography (PPG) of the Radial Artery through Parallelized Monte Carlo and Its Correlation to Body Mass Index (BMI).” Scientific Reports 11 (1): 1–11.
• Bonet, Samuel, and Farzan Sasangohar. 2021. “The Integration of Telemedicine into Clinicians’ Workflow: A Scoping Review.” In HFES Conference.
• Markert, Carl, Farzan Sasangohar, Bobak J. Mortazavi, and Sherecce Fields. 2021. “The Use of Telehealth Technology to Support Health Coaching for Older Adults: Literature Review.” JMIR Human Factors 8 (1): 1–10.
• Sajjadi, Seyedhooman, Anurag Das, Ricardo Gutierrez-Osuna, Theodora Chaspari, Projna Paromita, Laura E Ruebush, Nicolaas E Deutz, and Bobak J Mortazavi. 2021. “Towards The Development of Subject-Independent Inverse Metabolic Models.” In ICASSP 2021 – 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 3970–74.

• Zhu, Y, R K Mehta, M Erraguntla, F Sasangohar, and K Qaraqe. 2020. “Quantifying Accelerometer-Based Tremor Features of Neuromuscular Fatigue in Healthy and Diabetic Adults.” IEEE Sensors Journal 20 (19): 11183–90.
• Zahed, K, and F Sasangohar. 2019. “Behavior Change and Persuasive Components in MHealth : A Scoping Literature Review,” no. 979: 2337.
• Curtis, Aidan, Amruta Pai, Jian Cao, Nidal Moukaddam, and Ashutosh Sabharwal. 2019. “HealthSense : Software-Defined Mobile-Based Clinical Trials.”
• Zahed, Karim, Farzan Sasangohar, Ranjana Mehta, Madhav Erraguntla, and Khalid Qaraqe. 2020. “Diabetes Management Experience and the State of Hypoglycemia: National Online Survey Study.” JMIR Diabetes 5 (2).
• Robinson, A., A. K. Husband, R. D. Slight, and S. P. Slight. 2021. “Digital Technology to Support Lifestyle and Health Behaviour Changes in Surgical Patients: Systematic Review.” BJS Open 5 (2): 1–7.
• Akbari, A, R Solis Castilla, R Jafari, and B J Mortazavi. 2020. “Using Intelligent Personal Annotations to Improve Human Activity Recognition for Movements in Natural Environments.” IEEE Journal of Biomedical and Health Informatics 24 (9): 2639–50.
• Alvarado, Michelle M, Hye-Chung Kum, Karla Gonzalez Coronado, Margaret J Foster, Pearl Ortega, and Mark A Lawley. 2017. “Barriers to Remote Health Interventions for Type 2 Diabetes: A Systematic Review and Proposed Classification Scheme.” Journal of Medical Internet Research 19 (2): e28–e28.

YEAR 2

• Feldmann, Andri, Roger W Schmitz, and Daniel Erlacher. 2019. “Near-Infrared Spectroscopy-Derived Muscle Oxygen Saturation on a 0% to 100% Scale: Reliability and Validity of the Moxy Monitor.” Journal of Biomedical Optics 24 (11): 1–11.
• Huo, Z, B J Mortazavi, T Chaspari, N Deutz, L Ruebush, and R Gutierrez-Osuna. 2019. “Predicting the Meal Macronutrient Composition from Continuous Glucose Monitors.” In 2019 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI), 1–4.
• Boonya-Ananta, Tananant, Andres Rodriguez, Nicole Sevilla, Suthar Nidhi, Daniel Wilding, and Jessica Ramella-Roman. 2018. “TinyOxy: A NIRS-Base Muscle Oximeter Designed for BMI>40.” In BMES National Meeting.

YEAR 1

• Pai, Amruta, Ashok Veeraraghavan, and Ashutosh Sabharwal. 2018. “CameraHRV: Robust Measurement of Heart Rate Variability Using a Camera.” In SPIE. Vol. 10501.
• Goel, N, T Chaspari, B J Mortazavi, T Prioleau, A Sabharwal, and R Gutierrez-Osuna. 2018. “Knowledge-Driven Dictionaries for Sparse Representation of Continuous Glucose Monitoring Signals.” In 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 191–94.
• Garner, Omai, Dino Di Carlo, and Aydogan Ozcan. 2018. “Multiplexed Paper-Based Vertical Flow Assay for Point-of-Care Lyme Diagnostics Using a Mobile-Phone.” In Conference Proceeding.
• Chue-Sang, Joseph, Mariacarla Gonzalez, Angie Pierre, Megan Laughrey, Ilyas Saytashev, Tatiana Novikova, and Jessica C Ramella-Roman. 2019. “Optical Phantoms for Biomedical Polarimetry: A Review.” Journal of Biomedical Optics 24 (3): 1–12.
• Garner, Omai B. 2018. “Point of Care Testing: Challenges Strategies and Solutions for Global Health.” In Conference Proceeding.
• Chaspari, Theodora, Bobak J Mortazavi, Temiloluwa Prioleau, Ashutosh Sabharwal, and Ricardo Gutierrez-Osuna. 2016. “Sparse Representation Models of Continuous Glucose Monitoring Time-Series” 18 (9): 2016.