Computational Psychopshysiology in the Neurosciences
Online: A recent technical review article by Daniela Cardone * and Arcangelo Merla of the Infrared Imaging Lab, ITAB Institute for Advanced Biomedical Technologies, Department of Neuroscience, Imaging and Clinical Sciences, University of Chieti-Pescara, Chieti 66100, Italy has been reported by MDPI AG (Basel, Switzerland) on www.MDPI.com about their new paper on the above topic of thermal infrared imaging devices.
Abstract (Format modified for easier online reading)
“Thermal infrared imaging has been proposed, and is now used, as a tool for the non-contact and non-invasive computational assessment of human autonomic nervous activity and psychophysiological states.
“Thanks to a new generation of high sensitivity infrared thermal detectors and the development of computational models of the autonomic control of the facial cutaneous temperature, several autonomic variables can be computed through thermal infrared imaging, including localized blood perfusion rate, cardiac pulse rate, breath rate, sudomotor and stress responses.
“In fact, all of these parameters impact on the control of the cutaneous temperature. The physiological information obtained through this approach, could then be used to infer about a variety of psychophysiological or emotional states, as proved by the increasing number of psychophysiology or neurosciences studies that use thermal infrared imaging.
“This paper presents a review of the principal achievements of thermal infrared imaging in computational psychophysiology, focusing on the capability of the technique for providing ubiquitous and unwired monitoring of psychophysiological activity and affective states.
“It also presents a summary on the modern, up-to-date infrared sensors technology.”
*Author to whom correspondence should be addressed.
Academic Editor: Vittorio M. N. Passaro
Received: 27 February 2017 / Revised: 27 April 2017 / Accepted: 29 April 2017 / Published: 5 May 2017
(This article belongs to the Special Issue State-of-the-Art Sensors Technologies in Italy 2016)
Article Citation: MDPI and ACS Style
Cardone, D.; Merla, A. New Frontiers for Applications of Thermal Infrared Imaging Devices: Computational Psychopshysiology in the Neurosciences. Sensors 2017, 17, 1042.
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.
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