scholarly journals An automated method for coding sleep states in human infants based on respiratory rate variability

2016 ◽  
Vol 58 (8) ◽  
pp. 1108-1115 ◽  
Author(s):  
Joseph R. Isler ◽  
Tracy Thai ◽  
Michael M. Myers ◽  
William P. Fifer
Cureus ◽  
2018 ◽  
Author(s):  
Daniel Garrido ◽  
Justin J Assioun ◽  
Anahit Keshishyan ◽  
Marcos A Sanchez-Gonzalez ◽  
Bishoy Goubran

2013 ◽  
Vol 39 (8) ◽  
pp. 1359-1367 ◽  
Author(s):  
Guillermo Gutierrez ◽  
Aparna Das ◽  
Guillermo Ballarino ◽  
Arshan Beyzaei-Arani ◽  
Hülya Türkan ◽  
...  

Robotica ◽  
2010 ◽  
Vol 29 (3) ◽  
pp. 367-374 ◽  
Author(s):  
Domen Novak ◽  
Matjaž Mihelj ◽  
Marko Munih

SUMMARYPsychophysiological measurements, which serve as objective indicators of psychological state, have recently been introduced into human–robot interaction. However, their usefulness in haptic interaction is uncertain, since they are influenced by physical workload. This study analyses psychophysiological responses to a haptic task with three different difficulty levels and two different levels of physical load. Four physiological responses were recorded: heart rate, skin conductance, respiratory rate and skin temperature. Results show that mean respiratory rate, respiratory rate variability and skin temperature show significant differences between difficulty levels regardless of physical load and can be used to estimate cognitive workload in haptic interaction.


2016 ◽  
Vol 4 (17) ◽  
pp. e12949 ◽  
Author(s):  
Guillermo Gutierrez ◽  
Jeffrey Williams ◽  
Ghadah A. Alrehaili ◽  
Anna McLean ◽  
Ramin Pirouz ◽  
...  

Critical Care ◽  
2014 ◽  
Vol 18 (2) ◽  
pp. R65 ◽  
Author(s):  
Andrew JE Seely ◽  
Andrea Bravi ◽  
Christophe Herry ◽  
Geoffrey Green ◽  
André Longtin ◽  
...  

Critical Care ◽  
2014 ◽  
Vol 18 (6) ◽  
Author(s):  
Andrew JE Seely ◽  
◽  
Andrea Bravi ◽  
Christophe Herry ◽  
Geoffrey Green ◽  
...  

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