Psychophysiological responses to robotic rehabilitation tasks in stroke.
Identifieur interne : 001501 ( Ncbi/Curation ); précédent : 001500; suivant : 001502Psychophysiological responses to robotic rehabilitation tasks in stroke.
Auteurs : Domen Novak [Slovénie] ; Jaka Ziherl ; Andrej Olensek ; Maja Milavec ; Janez Podobnik ; Matjaz Mihelj ; Marko MunihSource :
- IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society [ 1558-0210 ] ; 2010.
English descriptors
- KwdEn :
- Aged, Arousal (physiology), Autonomic Nervous System (physiopathology), Cognition (physiology), Computer Simulation, Data Interpretation, Statistical, Exercise, Female, Hand Strength, Humans, Male, Middle Aged, Motor Skills (physiology), Neuropsychological Tests, Psychophysiology, Robotics (methods), Signal Processing, Computer-Assisted, Software, Stroke (physiopathology), Stroke (psychology), Stroke (rehabilitation), Surveys and Questionnaires, Task Performance and Analysis, Young Adult.
- MESH :
- methods : Robotics.
- physiology : Arousal, Cognition, Motor Skills.
- physiopathology : Autonomic Nervous System, Stroke.
- psychology : Stroke.
- rehabilitation : Stroke.
- Aged, Computer Simulation, Data Interpretation, Statistical, Exercise, Female, Hand Strength, Humans, Male, Middle Aged, Neuropsychological Tests, Psychophysiology, Signal Processing, Computer-Assisted, Software, Surveys and Questionnaires, Task Performance and Analysis, Young Adult.
Abstract
This paper presents the analysis of four psychophysiological responses in post-stroke upper extremity rehabilitation. The goal was to determine which psychophysiological responses would provide the most reliable information about subjects' psychological states during rehabilitation. Heart rate, skin conductance, respiration, and skin temperature were recorded in a stroke group and a control group during two difficulty levels of a pick-and-place task performed in a virtual environment using a haptic robot and during a cognitive task. Psychophysiological measurements were correlated with results of a self-report questionnaire. All four responses showed significant changes in response to the different tasks. Skin conductance differentiated between the two difficulty levels and was correlated with self-reported arousal in both stroke and control groups. Skin temperature differentiated between the two difficulty levels for the control group, but provided poor results for the stroke group. Heart rate and respiration increased during tasks, but their connection to psychological state was unclear. Results suggest that, of the four measured responses, skin conductance offers the most potential as a psychological state indicator, with other measures providing supplementary information. Psychophysiological measurements could thus be used in closed-loop biocooperative systems that would detect the user's psychological state and change the course of therapy accordingly.
DOI: 10.1109/TNSRE.2010.2047656
PubMed: 20388601
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sort="Milavec, Maja" uniqKey="Milavec M" first="Maja" last="Milavec">Maja Milavec</name></author><author><name sortKey="Podobnik, Janez" sort="Podobnik, Janez" uniqKey="Podobnik J" first="Janez" last="Podobnik">Janez Podobnik</name></author><author><name sortKey="Mihelj, Matjaz" sort="Mihelj, Matjaz" uniqKey="Mihelj M" first="Matjaz" last="Mihelj">Matjaz Mihelj</name></author><author><name sortKey="Munih, Marko" sort="Munih, Marko" uniqKey="Munih M" first="Marko" last="Munih">Marko Munih</name></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2010">2010</date><idno type="doi">10.1109/TNSRE.2010.2047656</idno><idno type="RBID">pubmed:20388601</idno><idno type="pmid">20388601</idno><idno type="wicri:Area/PubMed/Corpus">001111</idno><idno type="wicri:Area/PubMed/Curation">001111</idno><idno type="wicri:Area/PubMed/Checkpoint">000F00</idno><idno type="wicri:Area/Ncbi/Merge">001501</idno><idno 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Olensek</name></author><author><name sortKey="Milavec, Maja" sort="Milavec, Maja" uniqKey="Milavec M" first="Maja" last="Milavec">Maja Milavec</name></author><author><name sortKey="Podobnik, Janez" sort="Podobnik, Janez" uniqKey="Podobnik J" first="Janez" last="Podobnik">Janez Podobnik</name></author><author><name sortKey="Mihelj, Matjaz" sort="Mihelj, Matjaz" uniqKey="Mihelj M" first="Matjaz" last="Mihelj">Matjaz Mihelj</name></author><author><name sortKey="Munih, Marko" sort="Munih, Marko" uniqKey="Munih M" first="Marko" last="Munih">Marko Munih</name></author></analytic><series><title level="j">IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society</title><idno type="eISSN">1558-0210</idno><imprint><date when="2010" type="published">2010</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Aged</term><term>Arousal (physiology)</term><term>Autonomic Nervous System (physiopathology)</term><term>Cognition (physiology)</term><term>Computer Simulation</term><term>Data Interpretation, Statistical</term><term>Exercise</term><term>Female</term><term>Hand Strength</term><term>Humans</term><term>Male</term><term>Middle Aged</term><term>Motor Skills (physiology)</term><term>Neuropsychological Tests</term><term>Psychophysiology</term><term>Robotics (methods)</term><term>Signal Processing, Computer-Assisted</term><term>Software</term><term>Stroke (physiopathology)</term><term>Stroke (psychology)</term><term>Stroke (rehabilitation)</term><term>Surveys and Questionnaires</term><term>Task Performance and Analysis</term><term>Young Adult</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Robotics</term></keywords><keywords scheme="MESH" qualifier="physiology" xml:lang="en"><term>Arousal</term><term>Cognition</term><term>Motor Skills</term></keywords><keywords scheme="MESH" qualifier="physiopathology" xml:lang="en"><term>Autonomic Nervous System</term><term>Stroke</term></keywords><keywords scheme="MESH" qualifier="psychology" xml:lang="en"><term>Stroke</term></keywords><keywords scheme="MESH" qualifier="rehabilitation" xml:lang="en"><term>Stroke</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Aged</term><term>Computer Simulation</term><term>Data Interpretation, Statistical</term><term>Exercise</term><term>Female</term><term>Hand Strength</term><term>Humans</term><term>Male</term><term>Middle Aged</term><term>Neuropsychological Tests</term><term>Psychophysiology</term><term>Signal Processing, Computer-Assisted</term><term>Software</term><term>Surveys and Questionnaires</term><term>Task Performance and Analysis</term><term>Young Adult</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">This paper presents the analysis of four psychophysiological responses in post-stroke upper extremity rehabilitation. The goal was to determine which psychophysiological responses would provide the most reliable information about subjects' psychological states during rehabilitation. Heart rate, skin conductance, respiration, and skin temperature were recorded in a stroke group and a control group during two difficulty levels of a pick-and-place task performed in a virtual environment using a haptic robot and during a cognitive task. Psychophysiological measurements were correlated with results of a self-report questionnaire. All four responses showed significant changes in response to the different tasks. Skin conductance differentiated between the two difficulty levels and was correlated with self-reported arousal in both stroke and control groups. Skin temperature differentiated between the two difficulty levels for the control group, but provided poor results for the stroke group. Heart rate and respiration increased during tasks, but their connection to psychological state was unclear. Results suggest that, of the four measured responses, skin conductance offers the most potential as a psychological state indicator, with other measures providing supplementary information. Psychophysiological measurements could thus be used in closed-loop biocooperative systems that would detect the user's psychological state and change the course of therapy accordingly.</div></front></TEI></record>Pour manipuler ce document sous Unix (Dilib)
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