Single-channel EEG measurement of engagement in virtual rehabilitation: a validation study

Abstract Stroke rehabilitation suffers from low levels of patient engagement, impeding recovery. Virtual rehabilitation (VR) approaches can improve patient outcomes; however, there is limited understanding of the participant’s user experience and the field lacks a validated, objective measure of VR...
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Autor*in:	Rogers, Jeffrey M. [verfasserIn] Jensen, Jenny [verfasserIn] Valderrama, Joaquin T. [verfasserIn] Johnstone, Stuart J. [verfasserIn] Wilson, Peter H. [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2020

Schlagwörter:	Engagement Presence Electroencephalogram Rehabilitation Virtual reality

Anmerkung:	© Springer-Verlag London Ltd., part of Springer Nature 2020

Übergeordnetes Werk:	Enthalten in: Virtual reality - London : Springer, 1995, 25(2020), 2 vom: 22. Juli, Seite 357-366
Übergeordnetes Werk:	volume:25 ; year:2020 ; number:2 ; day:22 ; month:07 ; pages:357-366

Links:	Volltext

DOI / URN:	10.1007/s10055-020-00460-8

Katalog-ID:	SPR044067186

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allfields	10.1007/s10055-020-00460-8 doi (DE-627)SPR044067186 (DE-599)SPRs10055-020-00460-8-e (SPR)s10055-020-00460-8-e DE-627 ger DE-627 rakwb eng 004 ASE 000 620 ASE 54.76 bkl Rogers, Jeffrey M. verfasserin aut Single-channel EEG measurement of engagement in virtual rehabilitation: a validation study 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag London Ltd., part of Springer Nature 2020 Abstract Stroke rehabilitation suffers from low levels of patient engagement, impeding recovery. Virtual rehabilitation (VR) approaches can improve patient outcomes; however, there is limited understanding of the participant’s user experience and the field lacks a validated, objective measure of VR engagement. A neurophysiological measure of engagement in healthy adults was therefore examined, to inform future clinical studies. Twenty-four participants (Mage 26.7 years, range 18–47) interacted with a tabletop VR system (Elements DNA, or EDNA), after which they rated their experience on the presence questionnaire (PQ). Separately, participants completed tasks eliciting low (resting eyes-open and -closed) and high (EDNA VR and roller coaster simulation) levels of engagement while continuous electroencephalogram (EEG) was recorded from a single, left pre-frontal electrode. EEG differences between the resting and simulation conditions included an increase in theta power (p < 0.01) and a decrease in alpha power (p < 0.01). Importantly, theta power in simulation conditions correlated with PQ scores expressing the hands-on EDNA VR experience (rs = 0.38–0.48). In conclusion, the current results provide proof of concept that increased frontal theta power in healthy adults provides a valid measure of user engagement in VR simulation and participation. As the practical potential of VR is increasingly realised in stroke rehabilitation, objective EEG-based measures of engagement may provide a convenient and sensitive technique to assist in evaluating these interventions. Engagement (dpeaa)DE-He213 Presence (dpeaa)DE-He213 Electroencephalogram (dpeaa)DE-He213 Rehabilitation (dpeaa)DE-He213 Virtual reality (dpeaa)DE-He213 Jensen, Jenny verfasserin aut Valderrama, Joaquin T. verfasserin aut Johnstone, Stuart J. verfasserin aut Wilson, Peter H. verfasserin aut Enthalten in Virtual reality London : Springer, 1995 25(2020), 2 vom: 22. Juli, Seite 357-366 (DE-627)30018414X (DE-600)1481468-7 1434-9957 nnns volume:25 year:2020 number:2 day:22 month:07 pages:357-366 https://dx.doi.org/10.1007/s10055-020-00460-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_165 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 54.76 ASE AR 25 2020 2 22 07 357-366
spelling	10.1007/s10055-020-00460-8 doi (DE-627)SPR044067186 (DE-599)SPRs10055-020-00460-8-e (SPR)s10055-020-00460-8-e DE-627 ger DE-627 rakwb eng 004 ASE 000 620 ASE 54.76 bkl Rogers, Jeffrey M. verfasserin aut Single-channel EEG measurement of engagement in virtual rehabilitation: a validation study 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag London Ltd., part of Springer Nature 2020 Abstract Stroke rehabilitation suffers from low levels of patient engagement, impeding recovery. Virtual rehabilitation (VR) approaches can improve patient outcomes; however, there is limited understanding of the participant’s user experience and the field lacks a validated, objective measure of VR engagement. A neurophysiological measure of engagement in healthy adults was therefore examined, to inform future clinical studies. Twenty-four participants (Mage 26.7 years, range 18–47) interacted with a tabletop VR system (Elements DNA, or EDNA), after which they rated their experience on the presence questionnaire (PQ). Separately, participants completed tasks eliciting low (resting eyes-open and -closed) and high (EDNA VR and roller coaster simulation) levels of engagement while continuous electroencephalogram (EEG) was recorded from a single, left pre-frontal electrode. EEG differences between the resting and simulation conditions included an increase in theta power (p < 0.01) and a decrease in alpha power (p < 0.01). Importantly, theta power in simulation conditions correlated with PQ scores expressing the hands-on EDNA VR experience (rs = 0.38–0.48). In conclusion, the current results provide proof of concept that increased frontal theta power in healthy adults provides a valid measure of user engagement in VR simulation and participation. As the practical potential of VR is increasingly realised in stroke rehabilitation, objective EEG-based measures of engagement may provide a convenient and sensitive technique to assist in evaluating these interventions. Engagement (dpeaa)DE-He213 Presence (dpeaa)DE-He213 Electroencephalogram (dpeaa)DE-He213 Rehabilitation (dpeaa)DE-He213 Virtual reality (dpeaa)DE-He213 Jensen, Jenny verfasserin aut Valderrama, Joaquin T. verfasserin aut Johnstone, Stuart J. verfasserin aut Wilson, Peter H. verfasserin aut Enthalten in Virtual reality London : Springer, 1995 25(2020), 2 vom: 22. Juli, Seite 357-366 (DE-627)30018414X (DE-600)1481468-7 1434-9957 nnns volume:25 year:2020 number:2 day:22 month:07 pages:357-366 https://dx.doi.org/10.1007/s10055-020-00460-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_165 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 54.76 ASE AR 25 2020 2 22 07 357-366
allfields_unstemmed	10.1007/s10055-020-00460-8 doi (DE-627)SPR044067186 (DE-599)SPRs10055-020-00460-8-e (SPR)s10055-020-00460-8-e DE-627 ger DE-627 rakwb eng 004 ASE 000 620 ASE 54.76 bkl Rogers, Jeffrey M. verfasserin aut Single-channel EEG measurement of engagement in virtual rehabilitation: a validation study 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag London Ltd., part of Springer Nature 2020 Abstract Stroke rehabilitation suffers from low levels of patient engagement, impeding recovery. Virtual rehabilitation (VR) approaches can improve patient outcomes; however, there is limited understanding of the participant’s user experience and the field lacks a validated, objective measure of VR engagement. A neurophysiological measure of engagement in healthy adults was therefore examined, to inform future clinical studies. Twenty-four participants (Mage 26.7 years, range 18–47) interacted with a tabletop VR system (Elements DNA, or EDNA), after which they rated their experience on the presence questionnaire (PQ). Separately, participants completed tasks eliciting low (resting eyes-open and -closed) and high (EDNA VR and roller coaster simulation) levels of engagement while continuous electroencephalogram (EEG) was recorded from a single, left pre-frontal electrode. EEG differences between the resting and simulation conditions included an increase in theta power (p < 0.01) and a decrease in alpha power (p < 0.01). Importantly, theta power in simulation conditions correlated with PQ scores expressing the hands-on EDNA VR experience (rs = 0.38–0.48). In conclusion, the current results provide proof of concept that increased frontal theta power in healthy adults provides a valid measure of user engagement in VR simulation and participation. As the practical potential of VR is increasingly realised in stroke rehabilitation, objective EEG-based measures of engagement may provide a convenient and sensitive technique to assist in evaluating these interventions. Engagement (dpeaa)DE-He213 Presence (dpeaa)DE-He213 Electroencephalogram (dpeaa)DE-He213 Rehabilitation (dpeaa)DE-He213 Virtual reality (dpeaa)DE-He213 Jensen, Jenny verfasserin aut Valderrama, Joaquin T. verfasserin aut Johnstone, Stuart J. verfasserin aut Wilson, Peter H. verfasserin aut Enthalten in Virtual reality London : Springer, 1995 25(2020), 2 vom: 22. Juli, Seite 357-366 (DE-627)30018414X (DE-600)1481468-7 1434-9957 nnns volume:25 year:2020 number:2 day:22 month:07 pages:357-366 https://dx.doi.org/10.1007/s10055-020-00460-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_165 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 54.76 ASE AR 25 2020 2 22 07 357-366
allfieldsGer	10.1007/s10055-020-00460-8 doi (DE-627)SPR044067186 (DE-599)SPRs10055-020-00460-8-e (SPR)s10055-020-00460-8-e DE-627 ger DE-627 rakwb eng 004 ASE 000 620 ASE 54.76 bkl Rogers, Jeffrey M. verfasserin aut Single-channel EEG measurement of engagement in virtual rehabilitation: a validation study 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag London Ltd., part of Springer Nature 2020 Abstract Stroke rehabilitation suffers from low levels of patient engagement, impeding recovery. Virtual rehabilitation (VR) approaches can improve patient outcomes; however, there is limited understanding of the participant’s user experience and the field lacks a validated, objective measure of VR engagement. A neurophysiological measure of engagement in healthy adults was therefore examined, to inform future clinical studies. Twenty-four participants (Mage 26.7 years, range 18–47) interacted with a tabletop VR system (Elements DNA, or EDNA), after which they rated their experience on the presence questionnaire (PQ). Separately, participants completed tasks eliciting low (resting eyes-open and -closed) and high (EDNA VR and roller coaster simulation) levels of engagement while continuous electroencephalogram (EEG) was recorded from a single, left pre-frontal electrode. EEG differences between the resting and simulation conditions included an increase in theta power (p < 0.01) and a decrease in alpha power (p < 0.01). Importantly, theta power in simulation conditions correlated with PQ scores expressing the hands-on EDNA VR experience (rs = 0.38–0.48). In conclusion, the current results provide proof of concept that increased frontal theta power in healthy adults provides a valid measure of user engagement in VR simulation and participation. As the practical potential of VR is increasingly realised in stroke rehabilitation, objective EEG-based measures of engagement may provide a convenient and sensitive technique to assist in evaluating these interventions. Engagement (dpeaa)DE-He213 Presence (dpeaa)DE-He213 Electroencephalogram (dpeaa)DE-He213 Rehabilitation (dpeaa)DE-He213 Virtual reality (dpeaa)DE-He213 Jensen, Jenny verfasserin aut Valderrama, Joaquin T. verfasserin aut Johnstone, Stuart J. verfasserin aut Wilson, Peter H. verfasserin aut Enthalten in Virtual reality London : Springer, 1995 25(2020), 2 vom: 22. Juli, Seite 357-366 (DE-627)30018414X (DE-600)1481468-7 1434-9957 nnns volume:25 year:2020 number:2 day:22 month:07 pages:357-366 https://dx.doi.org/10.1007/s10055-020-00460-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_165 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 54.76 ASE AR 25 2020 2 22 07 357-366
allfieldsSound	10.1007/s10055-020-00460-8 doi (DE-627)SPR044067186 (DE-599)SPRs10055-020-00460-8-e (SPR)s10055-020-00460-8-e DE-627 ger DE-627 rakwb eng 004 ASE 000 620 ASE 54.76 bkl Rogers, Jeffrey M. verfasserin aut Single-channel EEG measurement of engagement in virtual rehabilitation: a validation study 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag London Ltd., part of Springer Nature 2020 Abstract Stroke rehabilitation suffers from low levels of patient engagement, impeding recovery. Virtual rehabilitation (VR) approaches can improve patient outcomes; however, there is limited understanding of the participant’s user experience and the field lacks a validated, objective measure of VR engagement. A neurophysiological measure of engagement in healthy adults was therefore examined, to inform future clinical studies. Twenty-four participants (Mage 26.7 years, range 18–47) interacted with a tabletop VR system (Elements DNA, or EDNA), after which they rated their experience on the presence questionnaire (PQ). Separately, participants completed tasks eliciting low (resting eyes-open and -closed) and high (EDNA VR and roller coaster simulation) levels of engagement while continuous electroencephalogram (EEG) was recorded from a single, left pre-frontal electrode. EEG differences between the resting and simulation conditions included an increase in theta power (p < 0.01) and a decrease in alpha power (p < 0.01). Importantly, theta power in simulation conditions correlated with PQ scores expressing the hands-on EDNA VR experience (rs = 0.38–0.48). In conclusion, the current results provide proof of concept that increased frontal theta power in healthy adults provides a valid measure of user engagement in VR simulation and participation. As the practical potential of VR is increasingly realised in stroke rehabilitation, objective EEG-based measures of engagement may provide a convenient and sensitive technique to assist in evaluating these interventions. Engagement (dpeaa)DE-He213 Presence (dpeaa)DE-He213 Electroencephalogram (dpeaa)DE-He213 Rehabilitation (dpeaa)DE-He213 Virtual reality (dpeaa)DE-He213 Jensen, Jenny verfasserin aut Valderrama, Joaquin T. verfasserin aut Johnstone, Stuart J. verfasserin aut Wilson, Peter H. verfasserin aut Enthalten in Virtual reality London : Springer, 1995 25(2020), 2 vom: 22. Juli, Seite 357-366 (DE-627)30018414X (DE-600)1481468-7 1434-9957 nnns volume:25 year:2020 number:2 day:22 month:07 pages:357-366 https://dx.doi.org/10.1007/s10055-020-00460-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_165 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 54.76 ASE AR 25 2020 2 22 07 357-366
language	English
source	Enthalten in Virtual reality 25(2020), 2 vom: 22. Juli, Seite 357-366 volume:25 year:2020 number:2 day:22 month:07 pages:357-366
sourceStr	Enthalten in Virtual reality 25(2020), 2 vom: 22. Juli, Seite 357-366 volume:25 year:2020 number:2 day:22 month:07 pages:357-366
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Engagement Presence Electroencephalogram Rehabilitation Virtual reality
dewey-raw	004
isfreeaccess_bool	false
container_title	Virtual reality
authorswithroles_txt_mv	Rogers, Jeffrey M. @@aut@@ Jensen, Jenny @@aut@@ Valderrama, Joaquin T. @@aut@@ Johnstone, Stuart J. @@aut@@ Wilson, Peter H. @@aut@@
publishDateDaySort_date	2020-07-22T00:00:00Z
hierarchy_top_id	30018414X
dewey-sort	14
id	SPR044067186
language_de	englisch
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author	Rogers, Jeffrey M.
spellingShingle	Rogers, Jeffrey M. ddc 004 ddc 000 bkl 54.76 misc Engagement misc Presence misc Electroencephalogram misc Rehabilitation misc Virtual reality Single-channel EEG measurement of engagement in virtual rehabilitation: a validation study
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topic_title	004 ASE 000 620 ASE 54.76 bkl Single-channel EEG measurement of engagement in virtual rehabilitation: a validation study Engagement (dpeaa)DE-He213 Presence (dpeaa)DE-He213 Electroencephalogram (dpeaa)DE-He213 Rehabilitation (dpeaa)DE-He213 Virtual reality (dpeaa)DE-He213
topic	ddc 004 ddc 000 bkl 54.76 misc Engagement misc Presence misc Electroencephalogram misc Rehabilitation misc Virtual reality
topic_unstemmed	ddc 004 ddc 000 bkl 54.76 misc Engagement misc Presence misc Electroencephalogram misc Rehabilitation misc Virtual reality
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title	Single-channel EEG measurement of engagement in virtual rehabilitation: a validation study
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title_full	Single-channel EEG measurement of engagement in virtual rehabilitation: a validation study
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author_browse	Rogers, Jeffrey M. Jensen, Jenny Valderrama, Joaquin T. Johnstone, Stuart J. Wilson, Peter H.
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title_sort	single-channel eeg measurement of engagement in virtual rehabilitation: a validation study
title_auth	Single-channel EEG measurement of engagement in virtual rehabilitation: a validation study
abstract	Abstract Stroke rehabilitation suffers from low levels of patient engagement, impeding recovery. Virtual rehabilitation (VR) approaches can improve patient outcomes; however, there is limited understanding of the participant’s user experience and the field lacks a validated, objective measure of VR engagement. A neurophysiological measure of engagement in healthy adults was therefore examined, to inform future clinical studies. Twenty-four participants (Mage 26.7 years, range 18–47) interacted with a tabletop VR system (Elements DNA, or EDNA), after which they rated their experience on the presence questionnaire (PQ). Separately, participants completed tasks eliciting low (resting eyes-open and -closed) and high (EDNA VR and roller coaster simulation) levels of engagement while continuous electroencephalogram (EEG) was recorded from a single, left pre-frontal electrode. EEG differences between the resting and simulation conditions included an increase in theta power (p < 0.01) and a decrease in alpha power (p < 0.01). Importantly, theta power in simulation conditions correlated with PQ scores expressing the hands-on EDNA VR experience (rs = 0.38–0.48). In conclusion, the current results provide proof of concept that increased frontal theta power in healthy adults provides a valid measure of user engagement in VR simulation and participation. As the practical potential of VR is increasingly realised in stroke rehabilitation, objective EEG-based measures of engagement may provide a convenient and sensitive technique to assist in evaluating these interventions. © Springer-Verlag London Ltd., part of Springer Nature 2020
abstractGer	Abstract Stroke rehabilitation suffers from low levels of patient engagement, impeding recovery. Virtual rehabilitation (VR) approaches can improve patient outcomes; however, there is limited understanding of the participant’s user experience and the field lacks a validated, objective measure of VR engagement. A neurophysiological measure of engagement in healthy adults was therefore examined, to inform future clinical studies. Twenty-four participants (Mage 26.7 years, range 18–47) interacted with a tabletop VR system (Elements DNA, or EDNA), after which they rated their experience on the presence questionnaire (PQ). Separately, participants completed tasks eliciting low (resting eyes-open and -closed) and high (EDNA VR and roller coaster simulation) levels of engagement while continuous electroencephalogram (EEG) was recorded from a single, left pre-frontal electrode. EEG differences between the resting and simulation conditions included an increase in theta power (p < 0.01) and a decrease in alpha power (p < 0.01). Importantly, theta power in simulation conditions correlated with PQ scores expressing the hands-on EDNA VR experience (rs = 0.38–0.48). In conclusion, the current results provide proof of concept that increased frontal theta power in healthy adults provides a valid measure of user engagement in VR simulation and participation. As the practical potential of VR is increasingly realised in stroke rehabilitation, objective EEG-based measures of engagement may provide a convenient and sensitive technique to assist in evaluating these interventions. © Springer-Verlag London Ltd., part of Springer Nature 2020
abstract_unstemmed	Abstract Stroke rehabilitation suffers from low levels of patient engagement, impeding recovery. Virtual rehabilitation (VR) approaches can improve patient outcomes; however, there is limited understanding of the participant’s user experience and the field lacks a validated, objective measure of VR engagement. A neurophysiological measure of engagement in healthy adults was therefore examined, to inform future clinical studies. Twenty-four participants (Mage 26.7 years, range 18–47) interacted with a tabletop VR system (Elements DNA, or EDNA), after which they rated their experience on the presence questionnaire (PQ). Separately, participants completed tasks eliciting low (resting eyes-open and -closed) and high (EDNA VR and roller coaster simulation) levels of engagement while continuous electroencephalogram (EEG) was recorded from a single, left pre-frontal electrode. EEG differences between the resting and simulation conditions included an increase in theta power (p < 0.01) and a decrease in alpha power (p < 0.01). Importantly, theta power in simulation conditions correlated with PQ scores expressing the hands-on EDNA VR experience (rs = 0.38–0.48). In conclusion, the current results provide proof of concept that increased frontal theta power in healthy adults provides a valid measure of user engagement in VR simulation and participation. As the practical potential of VR is increasingly realised in stroke rehabilitation, objective EEG-based measures of engagement may provide a convenient and sensitive technique to assist in evaluating these interventions. © Springer-Verlag London Ltd., part of Springer Nature 2020
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title_short	Single-channel EEG measurement of engagement in virtual rehabilitation: a validation study
url	https://dx.doi.org/10.1007/s10055-020-00460-8
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author2	Jensen, Jenny Valderrama, Joaquin T. Johnstone, Stuart J. Wilson, Peter H.
author2Str	Jensen, Jenny Valderrama, Joaquin T. Johnstone, Stuart J. Wilson, Peter H.
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doi_str	10.1007/s10055-020-00460-8
up_date	2024-07-03T22:41:41.386Z
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Virtual rehabilitation (VR) approaches can improve patient outcomes; however, there is limited understanding of the participant’s user experience and the field lacks a validated, objective measure of VR engagement. A neurophysiological measure of engagement in healthy adults was therefore examined, to inform future clinical studies. Twenty-four participants (Mage 26.7 years, range 18–47) interacted with a tabletop VR system (Elements DNA, or EDNA), after which they rated their experience on the presence questionnaire (PQ). Separately, participants completed tasks eliciting low (resting eyes-open and -closed) and high (EDNA VR and roller coaster simulation) levels of engagement while continuous electroencephalogram (EEG) was recorded from a single, left pre-frontal electrode. EEG differences between the resting and simulation conditions included an increase in theta power (p < 0.01) and a decrease in alpha power (p < 0.01). 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