title: Quantitative Assessment of the Training Improvement in a Motor-Cognitive Task by Using EEG, ECG and EOG Signals.
abstract: Generally, the training evaluation methods consist in experts supervision and qualitative check of the operator's skills improvement by asking them to perform specific tasks and by verifying the final performance. The aim of this work is to find out if it is possible to obtain quantitative information about the degree of the learning process throughout the training period by analyzing neuro-physiological signals, such as the electroencephalogram, the electrocardiogram and the electrooculogram. In fact, it is well known that such signals correlate with a variety of cognitive processes, e.g. attention, information processing, and working memory. A group of 10 subjects have been asked to train daily with the NASA multi-attribute-task-battery. During such training period the neuro-physiological, behavioral and subjective data have been collected. In particular, the neuro-physiological signals have been recorded on the first (T1), on the third (T3) and on the last training day (T5), while the behavioral and subjective data have been collected every day. Finally, all these data have been compared for a complete overview of the learning process and its relations with the neuro-physiological parameters. It has been shown how the integration of brain activity, in the theta and alpha frequency bands, with the autonomic parameters of heart rate and eyeblink rate could be used as metric for the evaluation of the learning progress, as well as the final training level reached by the subjects, in terms of request of cognitive resources.
authors.affiliation: IRCCS Fondazione Santa Lucia, via Ardeatina 306, 00142, Rome, Italy. gianluca.borghini@gmail.com.|Department of Physiology and Pharmacology, University "Sapienza" of Rome, Piazzale Aldo Moro, 5, 00185, Rome, Italy. gianluca.borghini@gmail.com.|Department of Computer, Control and Management Engineering, University "Sapienza" of Rome, via Ludovico Ariosto, 25, 00185, Rome, Italy. gianluca.borghini@gmail.com.
authors.forename: Gianluca
authors.initials: G
authors.lastname: Borghini
authors.affiliation: Department of Physiology and Pharmacology, University "Sapienza" of Rome, Piazzale Aldo Moro, 5, 00185, Rome, Italy.|Department of Computer, Control and Management Engineering, University "Sapienza" of Rome, via Ludovico Ariosto, 25, 00185, Rome, Italy.
authors.forename: Pietro
authors.initials: P
authors.lastname: Aricò
authors.affiliation: Department of Physiology and Pharmacology, University "Sapienza" of Rome, Piazzale Aldo Moro, 5, 00185, Rome, Italy.
authors.forename: Ilenia
authors.initials: I
authors.lastname: Graziani
authors.affiliation: Department of Computer, Control and Management Engineering, University "Sapienza" of Rome, via Ludovico Ariosto, 25, 00185, Rome, Italy.
authors.forename: Serenella
authors.initials: S
authors.lastname: Salinari
authors.affiliation: Singapore Institute for Neurotechnology, Centre for Life Sciences, National University of Singapore, 28 Medical Drive, #05-COR, Singapore, 117456, Singapore.
authors.forename: Yu
authors.initials: Y
authors.lastname: Sun
authors.affiliation: Singapore Institute for Neurotechnology, Centre for Life Sciences, National University of Singapore, 28 Medical Drive, #05-COR, Singapore, 117456, Singapore.
authors.forename: Fumihiko
authors.initials: F
authors.lastname: Taya
authors.affiliation: Singapore Institute for Neurotechnology, Centre for Life Sciences, National University of Singapore, 28 Medical Drive, #05-COR, Singapore, 117456, Singapore.
authors.forename: Anastatios
authors.initials: A
authors.lastname: Bezerianos
authors.affiliation: Singapore Institute for Neurotechnology, Centre for Life Sciences, National University of Singapore, 28 Medical Drive, #05-COR, Singapore, 117456, Singapore.|Department of Biomedical Engineering, Johns Hopkins School of Medicine, 720 Rutland Avenue Ross, Baltimore, MD, 21205, USA.
authors.forename: Nitish V
authors.initials: NV
authors.lastname: Thakor
authors.affiliation: Department of Molecular Medicine, University "Sapienza" of Rome, Piazzale Aldo Moro, 5, 00185, Rome, Italy.
authors.forename: Fabio
authors.initials: F
authors.lastname: Babiloni
mesh_terms: D000328:Adult; D000704:Analysis of Variance; D001341:Autonomic Nervous System; D001931:Brain Mapping; D058256:Brain Waves / Q000502:physiology*; D003071:Cognition / Q000502:physiology*; D004562:Electrocardiography; D004569:Electroencephalography; D004585:Electrooculography; D005133:Eye Movements / Q000502:physiology; D005260:Female; D006339:Heart Rate / Q000502:physiology; D006801:Humans; D007858:Learning / Q000502:physiology*; D008297:Male; D009043:Motor Activity / Q000502:physiology*; D011597:Psychomotor Performance / Q000502:physiology; D013057:Spectrum Analysis; D055815:Young Adult
keywords: Cognitive learning; ECG; EEG; EOG; Perceived workload; Training