The DOI matches its Crossref record; 82 of the 82 references it cites were found in a registry or an index.
Publication recommendations for electrodermal measurements
Open accessAbstract
This committee was appointed by the SPR Board to provide recommendations for publishing data on electrodermal activity ( EDA ). They are intended to be a stand‐alone source for newcomers and experienced users. A short outline of principles for electrodermal measurement is given, and recommendations from an earlier report (Fowles et al., ) are incorporated. Three fundamental techniques of EDA recording are described: (1) endosomatic recording without the application of an external current, (2) exosomatic recording with direct current (the most widely applied methodology), and (3) exosomatic recording with alternating current—to date infrequently used but a promising future methodology. In addition to EDA recording in laboratories, ambulatory recording has become an emerging technique. Specific problems that come with this recording of EDA in the field are discussed, as are those emerging from recording EDA within a magnetic field (e.g., fMRI ). Recommendations for the details that should be mentioned in publications of EDA methods and results are provided.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Electrodermal activity is defined as the electrical conductivity between two electrodes on the skin over time; it provides an index of sympathetic nervous system activity since eccrine sweat glands are innervated by the sympathetic but not parasympathetic branch of the autonomic nervous system (55).”
From Autism Spectrum Disorder in Children Is Not Associated With Abnormal Autonomic Nervous System Function: Hypothesis and Theory (2022) · cites this paper as [55]
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“The data quality was checked by examining whether each eligible record used an SCR extraction technique (70,71) that matched the typical recommendations for the field.”
From I Doubt It Is Safe: A Meta-analysis of Self-reported Intolerance of Uncertainty and Threat Extinction Training (2021) · cites this paper as [71]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Boucsein, W. (2012) · doi:10.1007/978-1-4614-1126-0 · Cited by 2,526
Dawson, M. E., Schell, A. M., Filion, D. L., & Berntson, G. G. (2009) · Cambridge University Press eBooks · doi:10.1017/cbo9780511546396.007 · Cited by 1,776
Publication Recommendations for Electrodermal Measurements
Fowles, D. C., Christie, M. J., Edelberg, R., Grings, W. W., Lykken, D. T., & Venables, P. H. (1981) · Psychophysiology · doi:10.1111/j.1469-8986.1981.tb03024.x · Cited by 1,700
Sex differences in emotion: Expression, experience, and physiology.
Kring, A. M., & Gordon, A. H. (1998) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.74.3.686 · Cited by 1,067 · cited 1×
“These results have been interpreted as indicating that women generally respond with greater defensive activation than men to affective pictorial stimuli, although exceptions have also been found (Kring & Gordon, 1998).”
ResultDIRECT MEASUREMENT OF SKIN CONDUCTANCE: A PROPOSAL FOR STANDARDIZATION
Lykken, D. T., & Venables, P. H. (1971) · Psychophysiology · doi:10.1111/j.1469-8986.1971.tb00501.x · Cited by 988
Emotion and motivation II: Sex differences in picture processing.
Bradley, M. M., Codispoti, M., Sabatinelli, D., & Lang, P. J. (2001) · Emotion · doi:10.1037/1528-3542.1.3.300 · Cited by 943
Boucsein, W. (1992) · doi:10.1007/978-1-4757-5093-5 · Cited by 818
Critchley, H. D., Elliott, R., Mathias, C. J., & Dolan, R. J. (2000) · The Journal of Neuroscience · doi:10.1523/jneurosci.20-08-03033.2000 · Cited by 813
Decomposition of skin conductance data by means of nonnegative deconvolution
Benedek, M., & Kaernbach, C. (2010) · Psychophysiology · doi:10.1111/j.1469-8986.2009.00972.x · Cited by 594
Vetrugno, R., Liguori, R., Cortelli, P., & Montagna, P. (2003) · Clinical Autonomic Research · doi:10.1007/s10286-003-0107-5 · Cited by 475
Research works printed but not linked: 16
- Blecker C. R., 2001, Skin conductance measurement during fMRT scans: A methodology study, Psychophysiology, 38, S27
- Boucsein W., 2001, Progress in ambulatory assessment, 549
- Edelberg R., 1967, Methods in psychophysiology, 1
- Fowles D. C., 1986, Psychophysiology: Systems, processes, and applications, 51
- Grimnes S., 2008, Bioimpedance and bioelectricity basics
- Grings W. W., 1974, Methods in physiological psychology: Vol. 1. Bioelectric recording techniques, Part C: Receptor and effector processes, 273
- Hamilton R. J., 2012, Tarascon Pharmacopoeia 2012 Professional Desk Reference Edition
- Lykken D. T., 1998, A tremor in the blood: Uses and abuses of the lie detector
- Öhman A., 1979, The orienting reflex in humans
- 10.1037/0096-3445.127.1.69 · DOI
- Siddle D. A. T., 1983, Orienting and habituation: Perspectives in human research, 109
- Sokolov E. N., 1963, Perception and the conditioned reflex
- Venables P. H., 1980, Techniques in psychophysiology, 3
- Wenger M. A., 1962, Psychophysiological correlates of psychological disorder, 106
- Wenger M. A., 1972, Handbook of psychophysiology, 535
- Wilhelm F. H., 1996, Ambulatory assessment: Computer‐assisted psychological and psychophysiological methods in monitoring and field studies, 317
Cited by
Sorted by citations
Lonsdorf, T. B., Menz, M. M., Andreatta, M., Fullana, M. A., Golkar, A., Haaker, J., Heitland, I., Hermann, A., Kuhn, M., Kruse, O., et al. (2017) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2017.02.026 · Cited by 837
Evidence for a large-scale brain system supporting allostasis and interoception in humans
Kleckner, I. R., Zhang, J., Touroutoglou, A., Chanes, L., Xia, C., Simmons, W. K., Quigley, K. S., Dickerson, B. C., & Feldman Barrett, L. (2017) · Nature Human Behaviour · doi:10.1038/s41562-017-0069 · Cited by 641
Human Emotion Recognition: Review of Sensors and Methods
Dzedzickis, A., Kaklauskas, A., & Bučinskas, V. (2020) · Sensors · doi:10.3390/s20030592 · Cited by 628
Innovations in Electrodermal Activity Data Collection and Signal Processing: A Systematic Review
Posada-Quintero, H. F., & Chon, K. H. (2020) · Sensors · doi:10.3390/s20020479 · Cited by 525
Positive and Negative Emotion Regulation in Adolescence: Links to Anxiety and Depression
Young, K., Sandman, C., & Craske, M. (2019) · Brain Sciences · doi:10.3390/brainsci9040076 · Cited by 485
Color and emotion: effects of hue, saturation, and brightness
Wilms, L., & Oberfeld, D. (2017) · Psychological Research · doi:10.1007/s00426-017-0880-8 · Cited by 452
Sano, A., Taylor, S., McHill, A. W., Phillips, A. J., Barger, L. K., Klerman, E., & Picard, R. (2018) · Journal of Medical Internet Research · doi:10.2196/jmir.9410 · Cited by 333
A Review of Psychophysiological Measures to Assess Cognitive States in Real-World Driving
Lohani, M., Payne, B. R., & Strayer, D. L. (2019) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2019.00057 · Cited by 347
Poerio, G. L., Blakey, E., Hostler, T., & Veltri, T. (2018) · PLoS ONE · doi:10.1371/journal.pone.0196645 · Cited by 375
Pittig, A., Treanor, M., LeBeau, R. T., & Craske, M. G. (2018) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2018.03.015 · Cited by 317
Large-scale wearable data reveal digital phenotypes for daily-life stress detection
Smets, E., Rios Velazquez, E., Schiavone, G., Chakroun, I., D’Hondt, E., De Raedt, W., Cornelis, J., Janssens, O., Van Hoecke, S., Claes, S., et al. (2018) · npj Digital Medicine · doi:10.1038/s41746-018-0074-9 · Cited by 250
Wearable sensors enable personalized predictions of clinical laboratory measurements
Dunn, J., Kidzinski, L., Runge, R., Witt, D., Hicks, J. L., Schüssler-Fiorenza Rose, S. M., Li, X., Bahmani, A., Delp, S. L., Hastie, T., et al. (2021) · Nature Medicine · doi:10.1038/s41591-021-01339-0 · Cited by 244
Power Spectral Density Analysis of Electrodermal Activity for Sympathetic Function Assessment
Posada-Quintero, H. F., Florian, J. P., Orjuela-Cañón, Á. D., Aljama-Corrales, T., Charleston-Villalobos, S., & Chon, K. H. (2016) · Annals of Biomedical Engineering · doi:10.1007/s10439-016-1606-6 · Cited by 244
The Validity of Physiological Measures to Identify Differences in Intrinsic Cognitive Load
Ayres, P., Lee, J. Y., PAAS, F. G. W. C., & van Merriënboer, J. J. G. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.702538 · Cited by 232
The Body and the Brain: Measuring Skin Conductance Responses to Understand the Emotional Experience
Christopoulos, G. I., Uy, M. A., & Yap, W. J. (2016) · Organizational Research Methods · doi:10.1177/1094428116681073 · Cited by 240
Saganowski, S., Perz, B., Polak, A. G., & Kazienko, P. (2022) · IEEE Transactions on Affective Computing · doi:10.1109/taffc.2022.3176135 · Cited by 236
Caruelle, D., Gustafsson, A., Shams, P., & Lervik-Olsen, L. (2019) · Journal of Business Research · doi:10.1016/j.jbusres.2019.06.041 · Cited by 228
Questionnaire Measures and Physiological Correlates of Presence: A Systematic Review
Grassini, S., & Laumann, K. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.00349 · Cited by 244
Automatic Stress Classification With Pupil Diameter Analysis
Pedrotti, M., Mirzaei, M. A., Tedesco, A., Chardonnet, J.-R., Merienne, F., Benedetto, S., & Baccino, T. (2013) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2013.848320 · Cited by 190
Biomarkers and Detection Platforms for Human Health and Performance Monitoring: A Review
Sim, J. K., Brothers, M. C., Slocik, J. M., Islam, A. E., Maruyama, B., Grigsby, C. C., Naik, R. R., & Kim, S. S. (2022) · Advanced Science · doi:10.1002/advs.202104426 · Cited by 195
When Threat Is Near, Get Out of Here
Löw, A., Weymar, M., & Hamm, A. O. (2015) · Psychological Science · doi:10.1177/0956797615597332 · Cited by 185
Functional dissociation of stimulus intensity encoding and predictive coding of pain in the insula
Geuter, S., Boll, S., Eippert, F., & Büchel, C. (2017) · eLife · doi:10.7554/elife.24770 · Cited by 184
Detecting Emotions through Electrodermal Activity in Learning Contexts: A Systematic Review
Horvers, A., Tombeng, N., Bosse, T., Lazonder, A., & Molenaar, I. (2021) · Italian National Conference on Sensors · doi:10.3390/s21237869 · Cited by 160
Navigating the garden of forking paths for data exclusions in fear conditioning research
Lonsdorf, T. B., Klingelhöfer-Jens, M., Andreatta, M., Beckers, T., Chalkia, A., Gerlicher, A., Jentsch, V. L., Meir Drexler, S., Mertens, G., Richter, J., et al. (2019) · eLife · doi:10.7554/elife.52465 · Cited by 164
Towards an unconscious neural reinforcement intervention for common fears
Taschereau-Dumouchel, V., Cortese, A., Chiba, T., Knotts, J. D., Kawato, M., & Lau, H. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1721572115 · Cited by 153
Stressing the accuracy: Wrist‐worn wearable sensor validation over different conditions
Menghini, L., Gianfranchi, E., Cellini, N., Patron, E., Tagliabue, M., & Sarlo, M. (2019) · Psychophysiology · doi:10.1111/psyp.13441 · Cited by 157
Biophilic office design: Exploring the impact of a multisensory approach on human well-being
Aristizabal, S., Byun, K., Porter, P., Clements, N. S., Campanella, C., Li, L., Mullan, A. F., Ly, S., Senerat, A. M., Nenadic, I., et al. (2021) · Journal of Environmental Psychology · doi:10.1016/j.jenvp.2021.101682 · Cited by 171
Martin, U., Keller, J., & Grön, G. (2015) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsv133 · Cited by 158
Subjective and physiological responses to façade and sunlight pattern geometry in virtual reality
Chamilothori, K., Chinazzo, G., Rodrigues, J., Dan‐Glauser, E., Wienold, J., & Andersen, M. (2019) · Building and Environment · doi:10.1016/j.buildenv.2019.01.009 · Cited by 155
Touch increases autonomic coupling between romantic partners
Chatel-Goldman, J., Congedo, M., Jutten, C., & Schwartz, J.-L. (2014) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2014.00095 · Cited by 135
Human amygdala stimulation effects on emotion physiology and emotional experience
Inman, C. S., Bijanki, K. R., Bass, D. I., Gross, R. E., Hamann, S. B., & Willie, J. T. (2018) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2018.03.019 · Cited by 144
Physiological evidence of interpersonal dynamics in a cooperative production task
Mønster, D., Håkonsson, D. D., Eskildsen, J. K., & Wallot, S. (2016) · Physiology & Behavior · doi:10.1016/j.physbeh.2016.01.004 · Cited by 134
van Lier, H. G., Pieterse, M. E., Garde, A., Postel, M. G., de Haan, H. A., Vollenbroek-Hutten, M. M. R., Schraagen, J. M., & Noordzij, M. L. (2019) · Behavior Research Methods · doi:10.3758/s13428-019-01263-9 · Cited by 143
Picking Your Brains: Where and How Neuroscience Tools Can Enhance Marketing Research
Alvino, L., Pavone, L., Abhishta, A., & Robben, H. S. J. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.577666 · Cited by 143
Taschereau‐Dumouchel, V., Kawato, M., & Lau, H. C. (2019) · Molecular Psychiatry · doi:10.1038/s41380-019-0520-3 · Cited by 128
Evaluating the impact of viewing location on view perception using a virtual environment
Abd-Alhamid, F., Kent, M. G., Calautit, J. K., & Wu, Y. (2020) · Building and Environment · doi:10.1016/j.buildenv.2020.106932 · Cited by 136
O’Keeffe, K., Hodder, S., & Lloyd, A. B. (2019) · Ergonomics · doi:10.1080/00140139.2019.1687940 · Cited by 126
Wegerer, M., Kerschbaum, H., Blechert, J., & Wilhelm, F. H. (2014) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2014.10.001 · Cited by 122
Vecchiato, G., Tieri, G., Jelić, A., Matteis, F. D., Maglione, A. G., & Babiloni, F. (2015) · Frontiers in Psychology · doi:10.3389/fpsyg.2015.01944 · Cited by 133
Borgomaneri, S., Battaglia, S., Garofalo, S., Tortora, F., Avenanti, A., & di Pellegrino, G. (2020) · Current Biology · doi:10.1016/j.cub.2020.06.091 · Cited by 132
An improved algorithm for model-based analysis of evoked skin conductance responses
Bach, D. R., Friston, K. J., & Dolan, R. J. (2013) · Biological Psychology · doi:10.1016/j.biopsycho.2013.09.010 · Cited by 122
O’Haire, M. E., McKenzie, S. J., Beck, A. M., & Slaughter, V. P. (2015) · Developmental Psychobiology · doi:10.1002/dev.21310 · Cited by 121
Posada-Quintero, H. F., Florian, J. P., Orjuela-Cañón, Á. D., & Chon, K. H. (2016) · American Journal of Physiology-Regulatory, Integrative and Comparative Physiology · doi:10.1152/ajpregu.00180.2016 · Cited by 127
Kleckner, I. R., Jones, R. M., Wilder-Smith, O., Wormwood, J. B., Akcakaya, M., Quigley, K. S., Lord, C., & Goodwin, M. S. (2018) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2017.2758643 · Cited by 121
Sex differences in cognitive regulation of psychosocial achievement stress: Brain and behavior
Kogler, L., Gur, R. C., & Derntl, B. (2014) · Human Brain Mapping · doi:10.1002/hbm.22683 · Cited by 124
Two types of peak emotional responses to music: The psychophysiology of chills and tears
Mori, K., & Iwanaga, M. (2017) · Scientific Reports · doi:10.1038/srep46063 · Cited by 128
Arousal and Valence Recognition of Affective Sounds Based on Electrodermal Activity
Greco, A., Valenza, G., Citi, L., & Scilingo, E. P. (2016) · IEEE Sensors Journal · doi:10.1109/jsen.2016.2623677 · Cited by 121
Chinazzo, G., Chamilothori, K., Wienold, J., & Andersen, M. (2020) · Human Factors The Journal of the Human Factors and Ergonomics Society · doi:10.1177/0018720819892383 · Cited by 122
Delmastro, F., Martino, F. D., & Dolciotti, C. (2020) · IEEE Access · doi:10.1109/access.2020.2985301 · Cited by 118
Addressing racial and phenotypic bias in human neuroscience methods
Webb, E. K., Etter, J. A., & Kwasa, J. A. C. (2022) · Nature Neuroscience · doi:10.1038/s41593-022-01046-0 · Cited by 122
Icenhour, A., Langhorst, J., Benson, S., Schlamann, M. U., Hampel, S., Engler, H., Forsting, M., & Elsenbruch, S. (2014) · Neurogastroenterology & Motility · doi:10.1111/nmo.12489 · Cited by 109
Malmberg, J., Järvelä, S., Holappa, J., Haataja, E., Huang, X., & Siipo, A. (2018) · Computers in Human Behavior · doi:10.1016/j.chb.2018.06.030 · Cited by 135
Active avoidance and attentive freezing in the face of approaching threat
Wendt, J., Löw, A., Weymar, M., Lotze, M., & Hamm, A. O. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.06.054 · Cited by 103
Wearables and Location Tracking Technologies for Mental-State Sensing in Outdoor Environments
Birenboim, A., Dijst, M., Scheepers, F. E., Poelman, M. P., & Helbich, M. (2019) · The Professional Geographer · doi:10.1080/00330124.2018.1547978 · Cited by 109
Weber, J., Angerer, P., & Apolinário-Hagen, J. (2022) · PLoS ONE · doi:10.1371/journal.pone.0271996 · Cited by 128
Donker, M. H., van Gog, T., & Mainhard, T. (2018) · Frontline Learning Research · doi:10.14786/flr.v6i3.372 · Cited by 105
Bach, D. R. (2014) · Biological Psychology · doi:10.1016/j.biopsycho.2014.08.006 · Cited by 100
Menz, M. M., Rihm, J. S., & Büchel, C. (2016) · The Journal of Neuroscience · doi:10.1523/jneurosci.3083-15.2016 · Cited by 99
“To normalize the left-skewed distribution of SCR amplitudes, individual SCR values were log transformed (Boucsein et al., 2012).”
MethodSmets, E., Raedt, W. D., & Hoof, C. A. V. (2018) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2018.2883751 · Cited by 110
Korpilo, S., Nyberg, E., Vierikko, K., Ojala, A., Kaseva, J., Lehtimäki, J., Kopperoinen, L., Cerwén, G., Hedblom, M., Castellazzi, E., et al. (2024) · Urban forestry & urban greening · doi:10.1016/j.ufug.2024.128286 · Cited by 106
Emotion processing in Psychopathy Checklist — assessed psychopathy: A review of the literature
Brook, M. A., Brieman, C. L., & Kosson, D. S. (2013) · Clinical Psychology Review · doi:10.1016/j.cpr.2013.07.008 · Cited by 97
Multifunctional Smart Textronics with Blow‐Spun Nonwoven Fabrics
Ho, D. H., Cheon, S., Hong, P., Park, J. H., Suk, J. W., Kim, D. H., Han, J. T., & Cho, J. H. (2019) · Advanced Functional Materials · doi:10.1002/adfm.201900025 · Cited by 96
Engineering digital biomarkers of interstitial glucose from noninvasive smartwatches
Bent, B., Cho, P. J., Henriquez, M., Wittmann, A., Thacker, C., Feinglos, M. N., Crowley, M. J., & Dunn, J. (2021) · npj Digital Medicine · doi:10.1038/s41746-021-00465-w · Cited by 101
Babakhani, N., Ritchie, B. W., & Dolničar, S. (2016) · Journal of Sustainable Tourism · doi:10.1080/09669582.2016.1257013 · Cited by 98
Lyu, K., Brambilla, A., Globa, A., & de Dear, R. (2023) · Automation in Construction · doi:10.1016/j.autcon.2023.104836 · Cited by 93
Schlund, M. W., Brewer, A. T., Magee, S. K., Richman, D. M., Solomon, S., Ludlum, M., & Dymond, S. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.04.070 · Cited by 97
Mavros, P., Wälti, M. J., Nazemi, M., Ong, C. H., & Hölscher, C. (2022) · Scientific Reports · doi:10.1038/s41598-022-20649-y · Cited by 93
Kim, N., Kim, J., & Ahn, C. R. (2021) · Advanced Engineering Informatics · doi:10.1016/j.aei.2021.101359 · Cited by 90
Wegerer, M., Blechert, J., Kerschbaum, H., & Wilhelm, F. H. (2013) · PLoS ONE · doi:10.1371/journal.pone.0079025 · Cited by 85
Zähringer, J., Jennen-Steinmetz, C., Schmahl, C. G., Ende, G., & Paret, C. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.00470 · Cited by 99
Höfling, T. T. A., Gerdes, A. B. M., Föhl, U., & Alpers, G. W. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.01388 · Cited by 96
Negative life experiences contribute to racial differences in the neural response to threat
Harnett, N. G., Wheelock, M. D., Wood, K. H., Goodman, A. M., Mrug, S., Elliott, M. N., Schuster, M. A., Tortolero, S. R., & Knight, D. C. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.116086 · Cited by 91
Time-varying analysis of electrodermal activity during exercise
Posada-Quintero, H. F., Reljin, N., Mills, C., Mills, I., Florian, J. P., VanHeest, J. L., & Chon, K. H. (2018) · PLoS ONE · doi:10.1371/journal.pone.0198328 · Cited by 87
Gurel, N. Z., Huang, M., Wittbrodt, M. T., Jung, H., Ladd, S. L., Shandhi, M. M. H., Ko, Y., Shallenberger, L. H., Nye, J. A., Pearce, B. D., et al. (2019) · Brain stimulation · doi:10.1016/j.brs.2019.08.002 · Cited by 87
Physiological correlates of subjective emotional valence and arousal dynamics while viewing films
Sato, W., Kochiyama, T., & Yoshikawa, S. (2020) · Biological Psychology · doi:10.1016/j.biopsycho.2020.107974 · Cited by 86
Current trends and opportunities in the methodology of electrodermal activity measurement
Tronstad, C., Amini, M., Bach, D. R., & Martinsen, Ø. G. (2022) · Physiological Measurement · doi:10.1088/1361-6579/ac5007 · Cited by 88
Lonsdorf, T. B., Haaker, J., Schümann, D., Sommer, T., Bayer, J., Brassen, S., Bunzeck, N., Gamer, M., & Kalisch, R. (2015) · Journal of Psychiatry and Neuroscience · doi:10.1503/140336 · Cited by 90
Resch, B., Puetz, I., Bluemke, M., Kyriakou, K., & Miksch, J. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17196994 · Cited by 89
Automatic detection of major depressive disorder using electrodermal activity
Kim, A. Y., Jang, E. H., Kim, S., Choi, K. W., Jeon, H. J., Yu, H. Y., & Byun, S. (2018) · Scientific Reports · doi:10.1038/s41598-018-35147-3 · Cited by 85
Sensors Capabilities, Performance, and Use of Consumer Sleep Technology
de Zambotti, M., Cellini, N., Menghini, L., Sarlo, M., & Baker, F. C. (2020) · Sleep Medicine Clinics · doi:10.1016/j.jsmc.2019.11.003 · Cited by 95
Cartocci, G., Caratù, M., Modica, E., Maglione, A. G., Rossi, D., Cherubino, P., & Babiloni, F. (2017) · Journal of Visualized Experiments · doi:10.3791/55872 · Cited by 101
Continuous Pain Intensity Estimation from Autonomic Signals with Recurrent Neural Networks
Lopez-Martinez, D., & Picard, R. W. (2018) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2018.8513575 · Cited by 87
Järvenoja, H., Malmberg, J., Törmänen, T., Mänty, K., Haataja, E., Ahola, S., & Järvelä, S. (2020) · Frontiers in Education · doi:10.3389/feduc.2020.00111 · Cited by 102
Assessment of social transmission of threats in humans using observational fear conditioning
Haaker, J., Golkar, A., Selbing, I., & Olsson, A. (2017) · Nature Protocols · doi:10.1038/nprot.2017.027 · Cited by 80
Race and ethnic variation in college students’ allostatic regulation of racism-related stress
Cheadle, J. E., Goosby, B. J., Jochman, J. C., Tomaso, C. C., Kozikowski, C. B., & Nelson, T. D. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1922025117 · Cited by 86
Leuchs, L., Schneider, M., & Spoormaker, V. I. (2018) · Psychophysiology · doi:10.1111/psyp.13283 · Cited by 79
Gurel, N. Z., Wittbrodt, M. T., Jung, H., Shandhi, M. M. H., Driggers, E. G., Ladd, S. L., Huang, M., Ko, Y., Shallenberger, L. H., Beckwith, J., et al. (2020) · Neurobiology of Stress · doi:10.1016/j.ynstr.2020.100264 · Cited by 82
Frison, A.-K., Wintersberger, P., Riener, A., Schartmüller, C., Boyle, L. N., Miller, E. E., & Weigl, K. (2019) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3290605.3300374 · Cited by 89
Sjouwerman, R., Scharfenort, R., & Lonsdorf, T. B. (2020) · Scientific Reports · doi:10.1038/s41598-020-72007-5 · Cited by 82
Psychophysiological modeling: Current state and future directions
Bach, D. R., Castegnetti, G., Korn, C. W., Gerster, S., Melinščak, F., & Moser, T. (2018) · Psychophysiology · doi:10.1111/psyp.13209 · Cited by 80
Modulation of fear extinction processes using transcranial electrical stimulation
Abend, R., Jalon, I., Gurevitch, G., Sar-El, R., Shechner, T., Pine, D. S., Hendler, T., & Bar‐Haim, Y. (2016) · Translational Psychiatry · doi:10.1038/tp.2016.197 · Cited by 80
Electrodermal Activity Is Sensitive to Cognitive Stress under Water
Posada-Quintero, H. F., Florian, J. P., Orjuela-Cañón, Á. D., & Chon, K. H. (2018) · Frontiers in Physiology · doi:10.3389/fphys.2017.01128 · Cited by 79
Impacts of Dynamic LED Lighting on the Well-Being and Experience of Office Occupants
Zhang, R., Campanella, C., Aristizabal, S., Jamrozik, A., Zhao, J., Porter, P., Ly, S., & Bauer, B. A. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17197217 · Cited by 85
Knaust, T., Felnhofer, A., Kothgassner, O. D., Höllmer, H., Gorzka, R.-J., & Schulz, H. (2021) · Virtual Reality · doi:10.1007/s10055-021-00595-2 · Cited by 77
Weber, B., Fischer, T., & Riedl, R. (2021) · Journal of Systems and Software · doi:10.1016/j.jss.2021.110946 · Cited by 82
Enhancing precision in human neuroscience
Nebe, S., Reutter, M., Baker, D. H., Bölte, J., Domes, G., Gamer, M., Gärtner, A., Gießing, C., Gurr, C., Hilger, K., et al. (2023) · eLife · doi:10.7554/elife.85980 · Cited by 81
Evaluation of emotional responses to television advertising through neuromarketing
Fernández, A. B., González, M. B., Barquero‐Pérez, Ó., Goya–Esteban, R., & de-la-Morena-Gómez, A. (2017) · Comunicar · doi:10.3916/c52-2017-02 · Cited by 75
The physiological correlates of interpersonal space
Candini, M., Battaglia, S., Benassi, M., di Pellegrino, G., & Frassinetti, F. (2021) · Scientific Reports · doi:10.1038/s41598-021-82223-2 · Cited by 73
Zaback, M., Adkin, A. L., & Carpenter, M. G. (2019) · Scientific Reports · doi:10.1038/s41598-019-48722-z · Cited by 73
Benefits of emotional integration and costs of emotional distancing
Roth, G., Shahar, B., Zohar‐Shefer, Y., Benita, M., Moed, A., Bibi, U., Kanat‐Maymon, Y., & Ryan, R. M. (2017) · Journal of Personality · doi:10.1111/jopy.12366 · Cited by 82
Metadata
- Authors
- Society for Psychophysiological Research Ad Hoc Committee on Electrodermal Measures
- Corresponding author
- Society for Psychophysiological Research Ad Hoc Committee on Electrodermal Measures
- Venue
- Psychophysiology
- Publisher
- Wiley
- Published
- 2012-06-08
- Volume
- 49
- Issue
- 8
- Pages
- 1017-1034
- ISSN
- 0048-5772 (ISSN-L)
- 1469-8986
- OpenAlex
- W4242743388
- Cited by
- 1,288
- References
- 82
- Citations by year
- 2026: 130 · 2025: 116 · 2024: 136 · 2023: 128 · 2022: 122 · 2021: 134 · 2020: 119 · 2019: 100 · 2018: 84 · 2017: 66 · 2016: 59 · 2015: 56 · 2014: 22 · 2013: 15
- FWCI
- 19.14
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Psychophysiology (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Heart Rate Variability and Autonomic Control
- Physical Sciences › Computer Science › Artificial Intelligence › Emotion and Mood Recognition
- Life Sciences › Neuroscience › Behavioral Neuroscience › Stress Responses and Cortisol
- Keywords
- electrodermal activity, skin conductance, publication recommendations, magnetic interference, functional MRI
- MeSH terms
- Electric Stimulation, Electrodes, Electromagnetic Fields, Galvanic Skin Response, Humans, Magnetic Resonance Imaging, Psychophysiology, Publications, Signal Processing, Computer-Assisted, Skin Physiological Phenomena, Artifacts, Monitoring, Ambulatory
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review