Manuel Enrique Hernandez

Manuel Enrique Hernandez
Manuel Enrique Hernandez

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Biography

Manuel Hernandez received his Ph.D. from the University of Michigan at Ann Arbor in 2012. He is a teaching associate professor in Department of Biomedical and Translational Sciences at the at the Carle Illinois College of Medicine at the University of Illinois Urbana-Champaign, and affiliate faculty member in Bioengineering, the Beckman Institute, Health & Kinesiology, and Neuroscience Program. His fields of professional interest include aging, movement disorders, and systems neuroscience.

Research Statement

Dr. Hernandez's research has focused on the use of experimental and theoretical models of risk factors for injury or disability during the performance of goal-directed movements in older adults with and without neurological disorders, particularly multiple sclerosis and Parkinson's disease. Dr. Hernandez is interested in the behavioral and neural mechanisms underlying postural dysfunction in older adults and particularly in the development of behavioral and neural biomarkers for early detection of neurological disorders.

Selected Articles in Journals

  • Holtzer, R, Choi, J., Motl, R. W., Foley, F. W., Wagshul, M., Hernandez, M. E., Lipton, M. L., & Izzetoglu, M. (2024). Brain control of dual-task walking can be improved in aging and neurological disease. GeroScience; (In press).
  • Motl, R. W., Choi, J., Foley, F. W., Picone, M. A., Lipton, M. L., Izzetoglu, M., Hernandez, M. E., Wagshul, M., & Holtzer, R. (2024). Initial Validation of the University of Alabama Birmingham Study of Aging Life-Space Assessment in Older Adults with Multiple Sclerosis. Multiple Sclerosis and Related Disorders; 82, 105354. https://doi.org/10.1016/j.msard.2023.105354.
  • Singh, M., Prakash, P., Kaur, R., Sowers, R., Brašić, J. R., & Hernandez, M. E. (2023). A Deep Learning Approach for Automatic and Objective Grading of Motor Impairment Severity in Parkinson’s Disease for use in Tele-Assessments. Sensors; 23, 9004. https://doi.org/10.3390/s23219004
  • Ziegelman, L., Kosuri, T., Hakim, H., Elshourbagy, A., Mills, K. A., Harrigan, T. P., Hernandez, M. E., & Brašić, J. R. (2023). Dataset of quality assurance measurements of rhythmic movements. Data in brief; 50, 109556. https://doi.org/10.1016/j.dib.2023.109556
  • Liau, B. Y., Lung, C. W., Hernandez, M. E., Mo, P. C., Li, Y., Guo, J., & Jan, Y. K. (2023). Using cross-correlation analysis of multi-channel near infrared spectroscopy to assess the hemodynamic response to cupping therapy. Biomedical Optics Express; 14(9), 4455-4467. https://doi.org/10.1364/BOE.493897
  • Elshourbagy, A., Eltaras, M. M., Abdalshafy, H., P., Javed, S., Sadaney, A. O., Harrigan, T. P., Mills, K. A., Hernandez, M. E. & Brašić, J. R. (2023). Feasibility of virtual low-cost continuous measurement of movements in the extremities of people with Parkinson’s disease. MethodsX; 11. https://doi.org/10.1016/j.mex.2023.102230
  • Li, Y., Mo, P. C., Lin, C. F., Pauly, S., Kundal, N., Hernandez, M.E. & Jan, Y. K. (2023). Using Near-Infrared Spectroscopy to Investigate the Effects of Pressures and Durations of Cupping Therapy on Muscle Blood Volume and Oxygenation. Journal of Biophotonics; https://doi.org/10.1002/jbio.202200342.
  • Hu, Y., Petruzzello, S. J., & Hernandez, M. E. (2023). Beta cortical oscillatory activities and their relationship to postural control in a standing balance demanding test: Influence of aging. Frontiers in Aging Neuroscience; 15:1126002. https://doi.org/10.3389/fnagi.2023.1126002.
  • Holtzer, R., Choi, J., Wagshul, M. E., Motl, R. W., Foley, F. W., Picone, M. A., Lipton, M. L., Izzetoglu, M., Hernandez, M. E., & Wagshul, M. (2023). Individual Reserve in Aging and Neurological Disease. Journal of Neurology; https://doi.org/10.1007/s00415-023-11656-8
  • Wagshul, M. E., Foley, F., Chaudhary, K., Lipton, M. L., Motl, R. W., Izzetoglu, M., Hernandez, M. E., Picone, M. A., & Holtzer, R. (2023). Differential Associations of Mobility with Fronto-Striatal Integrity and Lesion Load in Older Adults with and without Multiple Sclerosis. Neurorehabilitation and Neural Repair; 37(4), 205-217. https://doi.org/ 10.1177/15459683231164787
  • Kaur, R., Levy, J., Motl, R. W., Sowers, R., & Hernandez, M. E. (2023). Deep Learning for Multiple Sclerosis Differentiation Using Multi-Stride Dynamics in Gait. IEEE Transactions on Biomedical Engineering; https://doi.org/10.1109/TBME.2023.3238680
  • Kaur, R., Motl, R. W., Sowers, R., & Hernandez, M. E. (2023). A Vision-Based Gait Analysis Framework for Predicting Multiple Sclerosis and Parkinson’s Disease Gait Dysfunctions - A Deep Learning Approach. IEEE Journal of Biomedical and Health Informatics; 27(1), 190-201. https://doi.org/10.1109/JBHI.2022.3208077
  • Bishnoi, A., Shankar, M., Lee, R., Hu, Y., & Hernandez, M. E. (2022). Effects of therapeutic intervention on spatiotemporal gait parameters in adults with and without neurological disorder: systematic review and meta-analysis. Archives of Physical Medicine & Rehabilitation; https://doi.org/10.1016/j.apmr.2022.06.003
  • Hernandez, M. E., Ziegelman, L., Kosuri, T., Hakim, H., Zhao, L., Mills, K.A., & Brasic, J. (2022). Classification of extremity movements by visual observation of signals and their transforms. MethodsX. https://doi.org/10.1016/j.mex.2022.101739
  • Bishnoi, A., Lee, R., Hu, Y., Mahoney, J. R., & Hernandez, M. E. (2022). Effect of treadmill interventions on spatiotemporal gait parameters in adults with neurological disorders: Systematic Review and Meta-analysis of Randomized Controlled Trials. Int. J. Environ. Res. Public Health, 19, 2824. https://doi.org/10.3390/ijerph19052824
  • Meade, Z., Likens, A., Kent, J. A., Takahashi, K. Z., Wurdeman, S. R., Jacobsen, A. L., Hernandez, M. E., & Stergiou, N. (2022). Subthreshold vibration influences standing balance but has unclear impact on somatosensation in persons with transtibial amputations. Frontiers in Physiology. https://doi.org/10.3389/fphys.2022.810079
  • Bishnoi, A., Chaparro, G., & Hernandez, M. E. (2022). Effect of Heart Rate Reserve on Prefrontal Cortical Activation while dual-task walking in older adults. Int. J. Environ. Res. Public Health, 19, 47. https://doi.org/10.3390/ijerph19010047
  • Kaur, R., Chen, Z., Motl, R., Hernandez, M. E., & Sowers, R. (2021). Predicting Multiple Sclerosis from Gait Dynamics Using an Instrumented Treadmill - A Machine Learning Approach. IEEE Transactions on Biomedical Engineering, 68(9), 2666-2677. https://doi.org/10.1109/TBME.2020.3048142
  • Bishnoi, A., Holtzer, R., & Hernandez, M. E. (2021). Brain activation changes while walking in adults with and without neurological disease: Systematic Review and Meta-analysis of Functional Near-Infrared Spectroscopy. Brain Sciences, 11, 291. https://doi.org/10.3390/brainsci11030291
  • Hu, Y., Kattan, C., Kontos, D., Zhu, W., & Hernandez, M. E. (2021). Benefit of Tai Chi Quan Practice on Neuromuscular Functions in Older Adults. A Systematic Review and Meta-analysis. Complementary Therapies in Clinical Practice, 42, 101295. https://doi.org/10.1016/j.ctcp.2020.101295
  • Zanotto, T., Hernandez, M. E., Medrano, C. N., Wilund, K. R., & Sosnoff, J. J. (2020). Cardiac autonomic dysfunction and falls in people with multiple sclerosis: is there a link? An Opinion Article. Frontiers in Neuroscience, 14, 1299. https://doi.org/10.3389/fnins.2020.610917
  • Bishnoi, A., & Hernandez, M. E. (2020). Dual task walking costs in older adults with mild cognitive impairment: a systematic review and meta-analysis. Aging & Mental Health, 1-12. https://doi.org/10.1080/13607863.2020.1802576
  • Hernandez, M. E., Holtzer, R., Chaparro, G., Jean, K., Balto, J. M., Sandroff, B. M., Izzetoglu, M., & Motl, R. W. (2016). Brain activation changes during locomotion in middle-aged to older adults with multiple sclerosis. Journal of the Neurological Sciences, 370, 277-283. https://doi.org/10.1016/j.jns.2016.10.002
  • Moon, Y., Sung, J., An, R., Hernandez, M. E., & Sosnoff, J. J. (2016). Gait Variability in People with Neurological Disorders: A Systematic Review and Meta-analysis. Human Movement Science, 47, 197-208. https://doi.org/10.1016/j.humov.2016.03.010
  • Lainscsek, C., Hernandez, M. E., Weyhenmeyer, J., Sejnowski, T. J., & Poizner, H. (2013). Non-linear dynamical analysis of EEG time series distinguishes patients with Parkinson’s disease from healthy individuals. Frontiers in Neurology, 4, 200. https://doi.org/10.3389/fneur.2013.00200
  • Lukos, J. R., Snider, J., Hernandez, M. E., Tunik, E., Hillyard, S., & Poizner, H. (2013). Parkinson’s disease patients show impaired corrective response control and eye-hand coupling when reaching to virtual objects. Neuroscience, 254, 205-21. https://doi.org/10.1016/j.neuroscience.2013.09.026

Articles in Conference Proceedings

  • Sasso, G., Mou, L., & Hernandez, M. E. (2023). Classification of fall risk across the lifespan using gait derived features from a wearable device. Proceedings of the 2023 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC); 2023, 1-4. https://doi.org/10.1109/EMBC40787.2023.10340146.
  • Prakash, P., Kaur, R., Levy, J., Sowers, R., Brasic, J., & Hernandez, M. E. (2023). A Deep Learning Approach for Grading of Motor Impairment Severity in Parkinson’s Disease. Proceedings of the 2023 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC); 2023, 1-4. https:/doi.org/10.1109/EMBC40787.2023.10341122.
  • Liao, G., Wang, S., Wei, Z., Liu, B., Okubo, R., & Hernandez, M. E. (2022). Online classifier of AMICA model to evaluate state anxiety while standing in virtual reality. Proceedings of the 2022 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2022, 381-384. https://doi.org/10.1109/EMBC48229.2022.9871843.
  • Ziegelman, L., Alkurdi, A., Hu, Y., Bishnoi, A., Kaur, R., Sowers, R., Hsiao-Wecksler, E. T., & Hernandez, M. E. (2021). Feasibility of VR Technology in Eliciting State Anxiety Changes While Walking in Older Women. Proceedings of the 2021 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2021, 583-586. https://doi.org/10.1109/EMBC46164.2021.9630542
  • Wang, S., Okubo, R., Liao, G., Ku, C., Sowers, R., & Hernandez, M. E. (2021). Designing a closed loop system to achieve real-time evaluation and manipulation of state anxiety while walking in virtual reality. Proceedings of the 2021 10th International IEEE/EMBS Conference on Neural Engineering (NER), 2021, 45-48. https://doi.org/10.1109/NER49283.2021.9441253
  • Weyhenmeyer, J., Hernandez, M. E., Lainscsek, C., Poizner, H., & Sejnowski, T. (2020). Multimodal classification of Parkinson’s disease using delay differential analysis. Proceedings of the 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2020, 2868-2875. https://doi.org/10.1109/BIBM49941.2020.9313394
  • Sun, R., Kaur, R., Ziegelman, L., Yang, S., Sowers, R., & Hernandez, M. E. (2019). Using virtual reality to examine the correlation between balance function and anxiety in stance. Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2019, 1633-1640. https://doi.org/10.1109/BIBM47256.2019.8983331
  • Kaur, R., Sun, R., Ziegelman, L., Sowers, R., & Hernandez, M. E. (2019). Using virtual reality to examine the neural and physiological anxiety-related responses to balance-demanding target-reaching leaning tasks. Proceedings of the 2019 IEEE-RAS International Conference on Humanoid Robots (HUMANOIDS), 2019, 1-7. https://doi.org/10.1109/Humanoids43949.2019.9035020
  • Kaur, R., Sun, R., Ziegelman, L., Sowers, R., & Hernandez, M. E. (2019). Using virtual reality to examine the neural and physiological responses to height and perturbations in quiet standing. Proceedings of the 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2019, 5233-5236. https://doi.org/10.1109/EMBC.2019.8857647