“My job at Aptima allows me to do what I love, learn something new every day, and benefit the lives of our nation’s Warfighter.”
Zach Kiehl has an extensive background in the fields of biomedical engineering, human performance, neuroscience, medical imaging, and physiological signals. His particular areas of interests are aimed at using the principles of biomedical engineering and biomedical image/signal analysis to improve the performance of the human warfighter. His experience encompasses training in human performance and signal processing/analysis from a wide range of physiological signals. Zach has done extensive research in examining the neural correlates of cognitive bias along with an investigation of non-contact vital sign monitoring through an imaging photoplethysmography system (iPPG). Zach has also utilized his experience in iPPG and signal analysis to investigate the heart rate variability of data subjected to motion artifacts that commonly arise in working environments.
Zach holds an MS (Biomedical Systems Focus) and a BS in Biomedical Engineering from Wright State University.
Kiehl, Z. A., Durkee, K. T., Fox Cotton, O. M., Feeney, J. J., & Halverson, K. C., (2020, March). Physiological Sensing in Action: A Step Towards Dynamic Human Performance Assessment in Multi-Domain Operations. Poster Session at the Human Systems Conference of the National Defense Industrial Association, Arlington, VA.
Kiehl, Z., McCormack, R., Lucia, L., & Sathyanarayan, D. (2019). Advanced Technologies for Long-Term Aircrew Stamina (ATLAS). Presentation at the 57th Annual SAFE Symposium, Reno, NV.
Cummings, P., Sathyanarayan, D. Ward, D., Kiehl, Z., Coker, J., Schall, M., & Zabala, M. (2019). Classifying User Actions with Electromyography and Inertial Measurement Unit Signals. Manuscript submitted for publication.
Kennedy, S., Zabala, M., Schall, M., Cummings, P., Kiehl, Z. (2019). Inter-operator and inter-day motion classification accuracy with an electromyography sensor-embedded textile base layer. Manuscript submitted for publication
Kiehl, Z. A., Durkee, K. T., Halverson, K. C., Christensen, J. C., & Hellstern, G. F. (2019). Transforming work through human sensing: a confined space monitoring application. Structural Health Monitoring, 1475921719840994.
Kiehl, Z., Sathyanarayan, D., Halverson, K., Zabala, M., Gallagher, S., & Farrell, B. (2019). A System for Assessing Cervical Readiness Using Analytics and Non-Invasive Evalaution (CRANE). Paper and Presentation at the 20th International Symposium on Aviation Psychology, Dayton, OH.
Kiehl, Z., Ward, D., Cummings, P., Schall, M., Zabala, M., & Faheem, F. (2019, April). STANCE: Sensor Technologies for Augmenting the Naturalistic Control of Exoskeletons. Presentation at the Human Systems Conference of the National Defense Industrial Association, Aberdeen Proving Ground, MD.
Kiehl, Z. A., Kay, K., Ratwani, K., L., & Orvis, K. A. (2018, August). Assessing Learner State through the Fusion of
Multiple Measurement Modalities. Poster Session at iFEST of the National Defense Industrial Association, Arlington, VA.
Durkee, K. T. Kiehl, Z. A., Feeney, J. J., Clouse, C., & Sampson, M. (2018, March). Confined Spaces Monitoring System. Poster Session at the Human Systems Conference of the National Defense Industrial Association, Springfield, VA.
Kiehl, Z. A., Toumbeva, T. H., Brown, T. A., Wiggins, S. L., & Maxwell, D. B. (2018). An Immersive Approach to Providing Mishap Awareness Scenario Training for Ensuring Readiness (MASTER). In Proceedings of the MODSIM World Conference, Norfolk, VA.
Kiehl, Z. A., Durkee, K. T., Feeney, J. J., Hiriyanna, A. H., & Galster, S. M. (2017, April). Utilizing Physiological and Behavioral Signals to Estimate Human Functional State. In S. K. Baard-Perry (Co-Chair) & G. F. Goodwin (Co-Chair), Beyond Unobtrusive Methodologies: The Intrusive Component of “Big Data” Research. Symposium conducted at the Society for Industrial and Organization Psychology Conference, Orlando, FL.
Kiehl, Z. A. (2015). Measuring Pulse Rate Variability During Motion Artifact with a Non-Contact, Multi-Imager Photoplethysmography System (Thesis). Wright State University, Dayton, OH.
Kiehl, Z. A., Estepp, J. R., Blackford, E. B., & Fendley, M. E. (2015, April). Measuring Pulse Rate Variability During Motion Artifact with a Non-Contact, Multi-Imager Photoplethysmography System. Poster session at the Health and Human Performance Research Summit, Dayton, OH.
For more information about Zach Kiehl’s publications, please contact email@example.com.