Smart Wearable Electronics and hEalth daTa (SWEET) Research Group

Publications

Rui Hua+, Michela Carter+, Megan K. O’Brien, J. Benjamin Pitt, Soyang Kwon, Gia Oscherwitz, Austin Chen, Arianna Edobor, Renee C.B. Manworren, Hassan MK Ghomrawi, Fizan Abdullah, and Arun Jayaraman, “Biorhythms Derived from Consumer Wearables Predict Postoperative Complications in Children”, Science Advances, 11, eadv2643.DOI:10.1126/sciadv.adv2643, 2025, in the top 5% of all research outputs scored by Altmetric (research spotlight by Shirley Ryan AbilityLab, news outlets in The Washington Post, HealthDay News, Northwestern News, etc.)

Rui Hua, Yiyu Wang, Deanna M. Kennedy, James E. Hubbard Jr., and Ya Wang, “Toe Tapping-based Falling Risk Evaluation for Patients with Parkinson’s Disease using Monitoring Insoles”, IEEE Sensors Letters, 6(6), pp.1-4, 2022, in the top 5% of all research outputs scored by Altmetric (news outlets in IEEE Spectrum, Futurity, Texas A&M University Engineering News, etc.)

Journal Publications

Almuteb, I., Hua, R., Emad-Ud-Din, M., Vanegas-Arroyave, N., Wang, Y., “Heel-tapping-based Parkinson’s Disease Stage Classification using Smart Insoles”, IEEE Transactions on Neural Systems and Rehabilitation Engineering (under review)

Carter, M.+, Hua, R.+, O’Brien, M. K., Pitt, B. J., Kwon, S., Chen, A., Edobor, A., Manworren, R. C. B., Jayaraman, A., Ghomrawi, H. MK, and Abdullah, F., “Circadian Rhythms as Digital Biomarkers of Postoperative Recovery and Complications in Children”. Digital Health (under review)

Hua, R.+, Carter, M.+, O’Brien, M. K., Pitt, B. J., Kwon, S., Oscherwitz, G., Chen, A., Edobor, A., Manworren, R. C. B., Ghomrawi, H. MK, Abdullah, F., and Jayaraman, A., “Biorhythm Changes Derived from Wearable Fitness Trackers Predict Postoperative Complications in Children”, Science Advances, 11, eadv2643.DOI:10.1126/sciadv.adv2643, 2025

Carter, M., Chen, A.R., Pitt, J.B., Hua, R., Wafford, Q.E., Manworren, R.C., Ghomrawi, H.M. and Abdullah, F., “Classification Systems of Surgical Complexity: A Scoping Review of the Literature”. Journal of Surgical Research, 306, pp.570-579, 2025

Carter, M., Chen, A., Pitt, B.J., Hua, R., Edobor, A., Kwon, S., Goldstein, S. D., Ghomrawi, H. MK, and Abdullah, F., “Preoperative Determinants of Normative Postoperative Recovery Rate Following Minimally invasive repair of pectus excavatum”, Pediatric Surgery International, 2024

Pitt, B., Carter, M., Zeineddin, S., Bai, I., Hua, R., Kwon, S., Ghomrawi, H. MK, and Abdullah, F., “Association of Wearable Derived Pulse Rate Variability with Pediatric Appendectomy Complications”, Journal of Pediatric Surgery, 2024

Carter, M.+, Hua, R.+, O’Brien, M. K., Pitt, B.J., Kwon, S., Jayaraman, A., Ghomrawi, H. MK, and Abdullah, F., “Autocorrelation of daily resting heart rate: A novel metric of postoperative recovery”, International Journal of Medical Informatics, 105655, 2024

Almuteb, I., Hua, R., and Wang, Y., “Stage-Wise Data Balancing Promoting Toe-tapping-based Classification of Parkinson’s Disease Progression using Smart Insoles”, BMC Medical Informatics and Decision Making (preprint available, 2nd revision under review)

Carter, M., Hua, R., Pitt, B. J., Zeineddin, S., Perez, A., Sands, L., MS, Kujawa, S., LeHane, A., Stake, C., Reynolds, M., Abdullah, F., and Goldstein, S. D., “Utility of White Light Scanning as an alternative to computed tomography to evaluate severity of pectus excavatum deformity”, Journal of Pediatric Surgery, 2024

Carter, M., Zeineddin, S., Bai, I., Pitt, J.B., Hua, R., Kwon, S., Ghomrawi, H. MK, and Abdullah, F., “Step cadence as a novel objective postoperative recovery metric in children who undergo laparoscopic appendectomy”, Surgery, 2024

Hua, R., Marin-Quiros, S., Mohan, H., Wang, Y., “Maximum Power Point Tracking for a Multi-layered Piezoelectric Heel Charger with a Levered Mechanism Towards Impact-based Energy Harvesting”, Review of Scientific Instruments, 2022

Almuteb, I.+, Hua. R.+ and Wang, Y., “Smart insoles review (2008-2021): Applications, potentials, and future.”, Smart Health, 100301, 2022

Hua, R. and Wang, Y., “Distinguishing Medication ON and OFF for Parkinson’s Disease through Repetitive Foot Motion Recognition and Analysis”, IEEE Sensors Journal, 2022

Hua, R., Nguyen, N., Jawad, A., Kazmierski, K., White, B. and Wang, Y., “Insole-based Falling Risk Evaluation for Patients with Parkinson’s Disease through Walking while Holding a Cup of Water”, IEEE Sensors Letters, 2022

Hua, R., Wang, Y., Kennedy, D., Hubbard Jr., J. and Wang, Y., “Toe Tapping-based Falling Risk Evaluation for Patients with Parkinson’s Disease using Monitoring Insoles”, IEEE Sensors Letters, 6(6), pp.1-4, 2022

Hua, R. and Wang, Y., “Age-caused Mobility Decline Analysis Based-on Sequential Motion Reproduction Using Monitoring Insoles”, IEEE Sensors Letter, 5(11), pp. 1-4., 2021

Hua, R., and Wang, Y., “Robust Foot Motion Recognition Using Stride Detection and Weak Supervision-based Fast Labelling”., IEEE Sensors Journal 21(14): 16245 – 16255, 2021

Hua, R., and Wang, Y., “A Customized Convolutional Neural Network Model Integrated with Acceleration-based Smart Insole Towards Personalized Foot Gesture Recognition”, IEEE Sensors Letter, 2(3): 1-4, 2020

Liu, H., Hua, R., Lu, Y., Wang, Y., Salman, E., and Liang, J., “Boosting the efficiency of a footstep piezoelectric-stack energy harvester using the synchronized switch technology”, Journal of Intelligent Material Systems and Structures 30 (6): 813-822, 2019

Hua, R., and Wang Y., “Monitoring Insole (MONI): A Low Power Solution Toward Daily Gait Monitoring and Analysis”, IEEE Sensors Journal 19(15): 6410-6420, 2019

Hua, R., Liu, H., Yang, H., Wang, Y., and Ferrante, J., “A nonlinear interface integrated lever mechanism for piezoelectric footstep energy harvesting”, Applied Physics Letters, 113 (5): 053902, 2018

Conference Proceedings

Hua, R., O’Brien, M. K., Carter, M., Pitt, B.J., Kwon, S., Ghomrawi, H. MK, Jayaraman, A., and Abdullah, F. “Improving Early Prediction of Abnormal Events during Recovery from Appendectomy in Children using Wearable Devices”, The 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2024, Orlando, FL, USA

Hua, R., and Wang, Y., “Daily Locomotor Movement Recognition with a Smart Insole and a Pre-defined Route Map: Towards Early Motor Dysfunction Detection”, In 2019 IEEE Healthcare Innovations and Point of Care Technologies, (HI-POCT), pp. 87-90, 2019, Bethesda, MD, USA

Li, J., Liu, Y., Li, H., Hua, R., Xue, C. J., Lee, H. G., and Yang, H., “Accurate personal ultraviolet dose estimation with multiple wearable sensors”, 13th IEEE International Conference on Wearable and Implantable Body Sensor Networks (BSN), pp. 347-352, 2016, San Francisco, CA, USA

Wang, Z., Hua, R., Liu, Y., and Yang, H., “A compare-and-select error tolerant scheme for nonvolatile processors”, IEEE/ACM International Symposium on Nanoscale Architectures (NANOARCH), pp. 21-22. 2016, Beijing, China