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Jeffrey B Bolkhovsky

Showing results (1-10 of 8) with videos related to

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Behavioral Sciences (Basel, Switzerland)|April 28, 2019
Machine Learning models for the Identification of Cognitive Tasks using Autonomic Reactions from Heart Rate Variability and Electrodermal ActivityHugo F Posada-Quintero, Jeffrey B Bolkhovsky
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|February 1, 2013
Statistical analysis of heart rate and heart rate variability monitoring through the use of smart phone camerasJeffrey B Bolkhovsky, Christopher G Scully, Ki H Chon
Cognitive Research: Principles and Implications|August 15, 2025
Presenting segmented images in a rapid serial visual presentation stream improves search accuracyKrystina Diaz, Mark W Becker, Chad Peltier, et al.
Aerospace Medicine and Human Performance|June 21, 2018
Performance Trends During Sleep Deprivation on a Tilt-Based Control TaskJeffrey B Bolkhovsky, Frank E Ritter, Ki H Chon, et al.
Human Factors|June 16, 2018
Human Performance Deterioration Due to Prolonged Wakefulness Can Be Accurately Detected Using Time-Varying Spectral Analysis of Electrodermal ActivityHugo F Posada-Quintero, Jeffrey B Bolkhovsky, Michael Qin, et al.
Frontiers in Physiology|July 6, 2017
Sleep Deprivation in Young and Healthy Subjects Is More Sensitively Identified by Higher Frequencies of Electrodermal Activity than by Skin Conductance Level Evaluated in the Time DomainHugo F Posada-Quintero, Jeffrey B Bolkhovsky, Natasa Reljin, et al.
Frontiers in Neuroscience|October 15, 2019
Brain Activity Correlates With Cognitive Performance Deterioration During Sleep DeprivationHugo F Posada-Quintero, Natasa Reljin, Jeffrey B Bolkhovsky, et al.
Frontiers in Artificial Intelligence|March 18, 2021
Machine Learning Models for the Classification of Sleep Deprivation Induced Performance Impairment During a Psychomotor Vigilance Task Using Indices of Eye and Face TrackingMatthew S Daley, David Gever, Hugo F Posada-Quintero, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Behavioral Sciences (Basel, Switzerland)|April 28, 2019
Machine Learning models for the Identification of Cognitive Tasks using Autonomic Reactions from Heart Rate Variability and Electrodermal ActivityHugo F Posada-Quintero, Jeffrey B Bolkhovsky
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|February 1, 2013
Statistical analysis of heart rate and heart rate variability monitoring through the use of smart phone camerasJeffrey B Bolkhovsky, Christopher G Scully, Ki H Chon
Cognitive Research: Principles and Implications|August 15, 2025
Presenting segmented images in a rapid serial visual presentation stream improves search accuracyKrystina Diaz, Mark W Becker, Chad Peltier, et al.
Aerospace Medicine and Human Performance|June 21, 2018
Performance Trends During Sleep Deprivation on a Tilt-Based Control TaskJeffrey B Bolkhovsky, Frank E Ritter, Ki H Chon, et al.
Human Factors|June 16, 2018
Human Performance Deterioration Due to Prolonged Wakefulness Can Be Accurately Detected Using Time-Varying Spectral Analysis of Electrodermal ActivityHugo F Posada-Quintero, Jeffrey B Bolkhovsky, Michael Qin, et al.
Frontiers in Physiology|July 6, 2017
Sleep Deprivation in Young and Healthy Subjects Is More Sensitively Identified by Higher Frequencies of Electrodermal Activity than by Skin Conductance Level Evaluated in the Time DomainHugo F Posada-Quintero, Jeffrey B Bolkhovsky, Natasa Reljin, et al.
Frontiers in Neuroscience|October 15, 2019
Brain Activity Correlates With Cognitive Performance Deterioration During Sleep DeprivationHugo F Posada-Quintero, Natasa Reljin, Jeffrey B Bolkhovsky, et al.
Frontiers in Artificial Intelligence|March 18, 2021
Machine Learning Models for the Classification of Sleep Deprivation Induced Performance Impairment During a Psychomotor Vigilance Task Using Indices of Eye and Face TrackingMatthew S Daley, David Gever, Hugo F Posada-Quintero, et al.
Pageof 1