Research statement Lockhart’s current research and publications concern the identification of injury mechanisms and quantification of sensorimotor deficits and movement disorders associated with aging and neurological disorders on fall accidents. His academic grounding in biomechanical modeling, nonlinear dynamical systems, human postural control, and gait mechanics underscore a fundamental capacity to provide unique clinical solutions to injury preventions utilizing both engineering and biomedical principles.
Research areas of interest Biomechanics, biodynamics, biosensors, neuro rehabilitation, gait and posture, fall prevention
Research Directions
Collect Real-Time Data – Receive real-time physiological data about an individual’s performance. Examples, heart rate, stability, fatigue utilizing wearable IMU, Graphene, PPG, EMG, FMG, ECG etc.
Gather Intelligence – Derive useful, actionable intelligence from the bio-sensor system utilizing nonlinear dynamics and theory of Chaos.
Predict and Adjust for Performance Issues – Observing the data from the wearable device(s) in order to predict and react to declines in performance and readiness.
Professional preparation Ph.D. | Industrial and Systems Engineering, Texas Tech, Lubbock, TX, May 2000 “Biomechanics of Slips and Falls” M.S. | Industrial Engineering, Texas Tech, May 1997 B.S. | Industrial Engineering, Texas Tech May 1992
Editorships Editor, Ergonomics (Taylor & Francis) Associate Editor, Annals of Biomedical Engineering (Springer)
Biography
Dr. Lockhart is the Inaugural MORE Foundation Professor of Life in Motion Professor in the Biomedical Engineering program in the School of Biological Health and Systems Engineering at Arizona State University. He is also a guest professor at Ghent University in Belgium and serves as a research affiliate faculty member with Mayo Clinic College of Medicine, Division of Endocrinology. Previously, Lockhart was a professor at Virginia Tech in the Industrial and Systems Engineering Department and with the Virginia Tech/Wake Forest School of Biomedical Engineering and Science (2000-2014).
Professor Lockhart’s research and publications concern the identification of injury mechanisms and quantification of sensorimotor deficits and movement disorders associated with aging and neurological disorders on fall accidents. His academic grounding in biomechanical modeling, nonlinear dynamics, human postural control, gait mechanics, and wearable biosensor design underscore a fundamental capacity to provide unique clinical solutions to injury preventions utilizing both engineering and biomedical principles. As a result of above initiatives, Lockhart has published five book chapters and more than 200 full-length manuscripts in a variety of journals and proceedings. Professor Lockhart was an editor for Ergonomics (2010-2016) and is currently an associate editor of the Annals of Biomedical Engineering (Springer) and Editorial Board of the Ergonomics (Taylor & Francis), Academic Editor of the Sensors, and Board of Consulting Editors of the Journal of Biomechanics (Elsevier). Lockhart is the editor-in-chief for Wearable Biomedical Systems section of the newly created journal – Sci.
Professor Lockhart has worked on a number of research projects in the area of human locomotion, gait and posture, and wearable sensors. His efforts have involved contractual research and development from the National Science Foundation (NSF), CDC, NIH, National Institute of Occupational Safety and Health (NIOSH), Office of Naval Research (ONR), Department of Labor (DOL), Whitaker Foundation, Los Alamos National Laboratory, UPS, ITT and others. Additionally, collaboration with ITT in development of the new “Night-Vision” system in 2014 has led to the patent-8648897: A System and Method for Dynamically Enhancing Depth Perception in Head Borne Video Systems. His biometric graphene medical devices and sensor data systems deliver real-time physiological intelligence to help professionals maintain mental aptitude, operational health, performance, and readiness.
Lockhart has translated research findings into practice by reaching a significant number of external organizations and individuals. His outreach efforts have impacted several organizations including the UPS, Diageo, Los Alamos National Security, DOE, GE, BP, SnapOn Tools and the U.S. Navy. In recognition of these scientific achievements, Lockhart and co-workers were awarded the Alexander C. Williams, Jr., Design Award from the Human Factors and Ergonomics Society in 2008. His research was recently featured on the PBS NOVA ScienceNow and Good Morning America programs, Fortune, AgingWell, Men’s Health and Discover magazines.
Representative Publications
- Chou, E.-F.; Khine, M.; Lockhart, T.; Soangra, R. Effects of ECG Data Length on Heart Rate Variability among Young Healthy Adults. Sensors 2021, 21, 6286.
- Soangra, R.; Lockhart, T. Smartphone-Based Prediction Model for Postoperative Cardiac Surgery Outcomes Using Preoperative Gait and Posture Measures. Sensors 2021, 21, 1704. https://doi.org/10.3390/s21051704
- Lockhart, T., Soangra, R., Yoon, H., Wu, T., Frames, C., Weaver, R., and Roberto, K., (2021). Prediction of Fall Risk Among Community-Dwelling Older Adults Using a Wearable System. Scientific Reports 11, 20976.https://doi.org/10.1038/s41598-021-00458
- Doshi, K.B., Moon, S.H., Whitaker, M.D. and, Lockhart T.E.. Assessment of gait and posture characteristics using a smartphone wearable system for persons with osteoporosis with and without falls. Sci Rep13, 538 (2023). https://doi.org/10.1038/s41598-023-27788-w