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Hyatt Errol Moore

Research Assistant Professor
Systems Engineering

Phone:
NPS Experience
  • 2023 - current: Research Professor
Other Experience
  • 2017 - 2017 Adjunct Faculty, Hartnell College
  • 2016 - 2016 Adjunct Faculty, Monterey Peninsula College
  • 2016 - 2016 Adjunct Faculty, Foothill Community College
  • 2014 - 2023 Software Architect, Maple Leaf Photonics, LLC
  • 2013 - 2015 Research Engineer/Post Doctoral, Stanford University
  • 2011 - 2011 Teaching Assistant, Stanford University
  • 2010 - 2013 Research Associate, Stanford University
  • 2010 - 2012 Academic Tutor, Stanford University
  • 2009 LCDR/O4/IWO, U.S. Navy Reserves
  • 2001 - 2009 LT/O-3/IWO, US Navy

Awards

  • 2015 - Best Paper Finalist, Computers in Biology and Medicine
  • 2014 - Best Paper, American Academy of Sleep Medicine
  • 2006 - Armed Forces Communications and Electronics Association Award, ºÚÁϳԹÏÍø

Boards, Memberships, & Certifications

Professional Memberships
  • 2023 International Council on Systems Engineering
  • 2022 - 2022 World Sleep Society
  • 2022 - 2022 American Academy of Sleep Medicine
  • 2012 - 2012 American Academy of Sleep Medicine

Scholarly Work

Publications
  • Conference Proceedings
  • Moore, H. E., & Yakimenko, O. A, (2025).
  • Moore, H. E., & Yakimenko, O. A, (2024).
  • Giachetti, R. E., & Moore, H. E, (2024).
  • Yun, X., Bachmann, E. R., Moore, H. E., & Calusdian, J, (2007). Self-contained position tracking of human movement using small inertial/magnetic sensor modules.
  • Journal Articles
  • Cederberg, K. L., Sempere, V. P., Lin, L., Zhang, J., Leary, E. B., Moore, H. E., Morse, A. M., Blackman, A., Schweitzer, P. K., Kotagal, S., & other, (2023). Proteomic insights into the pathophysiology of periodic limb movements and restless legs syndrome. Sleep Health.
  • Yu, J., Kapphahn, K., Moore, H. E., Haydel, F., Robinson, T., & Desai, M, (2023). Prediction Strength for Clustering Activity Patterns Using Accelerometer Data. Journal for the Measurement of Physical Behaviour, 2(6), 134--144.
  • Randhawa, S., Sharma, M., Fiterau, M., Banda, J. A., Haydel, F., Kapphahn, K., Matheson, D., Moore, H. E., Ball, R. L., Kushida, C., & other, (2023). Statistical Learning Methods to Identify Nonwear Periods From Accelerometer Data. Journal for the Measurement of Physical Behaviour, 2(6), 124--133.
  • Hanif, U., Schneider, L. D., Trap, L., Leary, E. B., Moore, H. E., Guilleminault, C., Jennum, P., Sorensen, H. B., & Mignot, E. J, (2019). Non-invasive machine learning estimation of effort differentiates sleep-disordered breathing pathology. Physiological Measurement, 2(40), 025008.
  • Cheung, J., Ruoff, C., Moore, H. E., Hagerman, K. A., Perez, J., Sakamuri, S., Warby, S. C., Mignot, E., Day, J., & Sampson, J, (2018). Increased EEG theta spectral power in sleep in myotonic dystrophy type 1. Journal of Clinical Sleep Medicine, 2(14), 229--235.
  • Stephansen, J. B., Olesen, A. N., Olsen, M., Ambati, A., Leary, E. B., Moore, H. E., Carrillo, O., Lin, L., Han, F., Yan, H., & other, (2018). Neural network analysis of sleep stages enables efficient diagnosis of narcolepsy. Nature communications, 1(9), 5229.
  • Leary, E. B., Moore, H. E., Schneider, L. D., Finn, L. A., Peppard, P. E., & Mignot, E, (2018). Periodic limb movements in sleep: prevalence and associated sleepiness in the Wisconsin Sleep Cohort. Clinical Neurophysiology, 11(129), 2306--2314.
  • Moore, H. E., Haydel, K. F., Banda, J. A., Fiterau, M., Desai, M., & Robinson, T. N, (2018). Potential corner case cautions regarding publicly available implementations of the National Cancer Institute’s nonwear/wear classification algorithm for accelerometer data. PLoS One, 12(13), e0210006.
  • Li, J., Moore, H. E., Lin, L., Young, T., Finn, L., Peppard, P. E., & Mignot, E, (2015). Association of low ferritin with PLM in the Wisconsin Sleep Cohort. Sleep medicine, 11(16), 1413--1418.
  • Moore, H. E., Leary, E., Lee, S., Carrillo, O., Stubbs, R., Peppard, P., Young, T., Widrow, B., & Mignot, E, (2015). Design and validation of a periodic leg movement detector (vol 9, e114565, 2014) Plos One, 9(10).
  • Moore, H. E., & Mignot, E, (2015). SEV--a software toolbox for large scale analysis and visualization of polysomnography data. Computer Methods in Biomechanics and Biomedical Engineering: Imaging \& Visualization, 3(3), 123--135.
  • Moore, H. E., & other, (2015). The difficulties of designing a broadly accepted PLMS scoring algorithm. Sleep Medicine, 12(16), 1539--1540.
  • Moore, H. E., Leary, E., Lee, S., Carrillo, O., Stubbs, R., Peppard, P., Young, T., Widrow, B., & Mignot, E, (2014). Design and validation of a periodic leg movement detector. PloS one, 12(9), e114565.
  • Moore, H. E., Andlauer, O., Simon, N., & Mignot, E, (2014). Exploring medical diagnostic performance using interactive, multi-parameter sourced receiver operating characteristic scatter plots. Computers in biology and medicine, (47), 120--129.
  • Moore, H. E., Winkelmann, J., Lin, L., Finn, L., Peppard, P., & Mignot, E, (2014). Periodic leg movements during sleep are associated with polymorphisms in BTBD9, TOX3/BC034767, MEIS1, MAP2K5/SKOR1, and PTPRD. Sleep, 9(37), 1535--1542.
  • Andlauer, O., Moore, H. E., Jouhier, L., Drake, C., Peppard, P. E., Han, F., Hong, S., Poli, F., Plazzi, G., O’Hara, R., & other, (2013). Nocturnal rapid eye movement sleep latency for identifying patients with narcolepsy/hypocretin deficiency. JAMA neurology, 7(70), 891--902.
  • Moore, H. E, (2013). Visualization of EEG activity for stimulating sleep research. Computer Methods in Biomechanics and Biomedical Engineering: Imaging \& Visualization, 4(1), 225--233.
  • Andlauer, O., Moore, H. E., Hong, S., Dauvilliers, Y., Kanbayashi, T., Nishino, S., Han, F., Silber, M. H., Rico, T., Einen, M., & other, (2012). Predictors of hypocretin (orexin) deficiency in narcolepsy without cataplexy. Sleep, 9(35), 1247--1255.
  • Moore, H. E, (2010). The Stanford EEG viewer: a high-throughput platform for the visualization and analysis of sleep data. The BCATS 2010 organizing committee, 61.
  • Ph.D. Thesis
  • Moore, H. E, (2013). Signal processing and pattern recognition for nocturnal polysomnography sleep studies.
Presentations
  • Oral Presentations
  • Moore, H. E. (Author & Presenter), & Giachetti, R. E. (Author), Navy Decarbonization Research Consortium, "Trade Space Exploration for Climate Impact and Quality Attributes for Navy Ships," Office of Naval Research, George Washington University, DC, United States. (September 4, 2024).
  • Moore, H. E. (Author & Presenter), & Yakimenko, O. A. (Author), 18th International Conference on Control & Automation, "Contemplating Urban Operations Involving a UGV Swarm," IEEE, University of Iceland, Iceland. (June 18, 2024).
  • Moore, H. E. (Author), & Giachetti, R. E. (Author & Presenter), Conference on Systems Engineering Research 2024, "Sustainable Systems: Measuring Carbon Emissions of Navy Ships," CSER, The University of Arizona, AZ, United States. (March 25, 2024).
  • Moore, H. E. (Author & Presenter), Associated Professional Sleep Societies 2012, "High Resolution Detection of Polysomnography Based Phasic Events of REM Sleep in PTSD," Sleep Research Society (SRS) and American Academy of Sleep Medicine (AASM), Boston Convention and Exhibition Center, MA, United States. (June 10, 2012).
  • Moore, H. E. (Author), Yun, X. (Author & Presenter), Bachmann, E. R. (Author), & Calusdian, J. (Author), 2007 IEEE International Conference on Robotics and Automation (ICRA 2007), "Self-contained position tracking of human movement using small Inertial/Magnetic sensor modules," IEEE, Angelicum University, Italy. (April 12, 2007).
  • Posters
  • Moore, H. E. (Author & Presenter), Biomedical Computation at Stanford, "A High-Throughput Platform for the Genetic Analysis of Sleep EEG Data," Stanford University, Stanford University, CA, United States. (November 6, 2010).