{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,20]],"date-time":"2026-04-20T18:20:28Z","timestamp":1776709228330,"version":"3.51.2"},"reference-count":77,"publisher":"Oxford University Press (OUP)","issue":"5","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Interact. Comput."],"published-print":{"date-parts":[[2015,9]]},"DOI":"10.1093\/iwc\/iwv010","type":"journal-article","created":{"date-parts":[[2015,4,9]],"date-time":"2015-04-09T03:47:00Z","timestamp":1428551220000},"page":"521-533","source":"Crossref","is-referenced-by-count":23,"title":["Neuro-Fuzzy Physiological Computing to Assess Stress Levels in Virtual Reality Therapy"],"prefix":"10.1093","volume":"27","author":[{"given":"G.","family":"Tartarisco","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"N.","family":"Carbonaro","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"A.","family":"Tonacci","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"G.M.","family":"Bernava","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"A.","family":"Arnao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"G.","family":"Crifaci","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"P.","family":"Cipresso","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"G.","family":"Riva","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"A.","family":"Gaggioli","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"D.","family":"De Rossi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"A.","family":"Tognetti","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"G.","family":"Pioggia","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"286","published-online":{"date-parts":[[2015,4,8]]},"reference":[{"key":"2015072408081102000_27.5.521.1","doi-asserted-by":"crossref","unstructured":"Aha D.W. Kibler D. Albert M.K. (1991) Instance-based learning algorithms. Mach. Learn., 6, 37\u201366.","DOI":"10.1007\/BF00153759"},{"key":"2015072408081102000_27.5.521.2","doi-asserted-by":"publisher","DOI":"10.1007\/BF02532251"},{"key":"2015072408081102000_27.5.521.3","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0094137"},{"key":"2015072408081102000_27.5.521.4","doi-asserted-by":"publisher","DOI":"10.1109\/TITB.2004.837888"},{"key":"2015072408081102000_27.5.521.5","doi-asserted-by":"crossref","unstructured":"Berntson G.G. Cacioppo J.T. (2004) Heart rate variability: stress and psychiatric conditions. Dyn. Electrocardiography, 7, 57\u201364.","DOI":"10.1002\/9780470987483.ch7"},{"key":"2015072408081102000_27.5.521.6","doi-asserted-by":"publisher","DOI":"10.1109\/3477.678624"},{"key":"2015072408081102000_27.5.521.7","doi-asserted-by":"publisher","DOI":"10.1109\/10.554760"},{"key":"2015072408081102000_27.5.521.8","doi-asserted-by":"publisher","DOI":"10.1023\/A:1010933404324"},{"key":"2015072408081102000_27.5.521.9","unstructured":"Breiman L. Friedman J.H. Olshen R.A. Stone C.J. (1984) Classification and Regression Trees. Belmont, CA: Wadsworth International Group."},{"key":"2015072408081102000_27.5.521.10","doi-asserted-by":"publisher","DOI":"10.1109\/10.959330"},{"key":"2015072408081102000_27.5.521.11","unstructured":"Burg J.P. (1967) Maximum Entropy Spectral Analysis 37th Annual Int. Meeting. Society of Exploration Geophysics."},{"key":"2015072408081102000_27.5.521.12","doi-asserted-by":"crossref","unstructured":"Campos L.A. Pereira V.L. Jr. Muralikrishna A. Albarwani S. Br\u00e1s S. Gouveia S. (2013) Mathematical biomarkers for the autonomic regulation of cardiovascular system. Front. Physiol., 4, 279.","DOI":"10.3389\/fphys.2013.00279"},{"key":"2015072408081102000_27.5.521.13","doi-asserted-by":"crossref","unstructured":"Carbonaro N. Anania G. Mura G.D. Tesconi M. Tognetti A. Zupone G. De Rossi D. (2011) Wearable Biomonitoring System for Stress Management: A Preliminary Study on Robust ECG Signal Processing IEEE Int. Symp. World of Wireless, Mobile and Multimedia Networks (WoWMoM), pp. 1\u20136. IEEE.","DOI":"10.1109\/WoWMoM.2011.5986192"},{"key":"2015072408081102000_27.5.521.14","doi-asserted-by":"crossref","unstructured":"Carbonaro N. Tognetti A. Anania G. De Rossi D. Cipresso P. Gaggioli A. Riva G. (2013) A Mobile Biosensor to Detect Cardiorespiratory Activity for Stress Tracking Proc. 7th Int. Conf. Pervasive Computing Technologies for Healthcare, pp. 440\u2013445. ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering).","DOI":"10.4108\/icst.pervasivehealth.2013.252357"},{"key":"2015072408081102000_27.5.521.15","doi-asserted-by":"crossref","unstructured":"Chakroborty S. (2013) Accurate Arrhythmia Classification Using Auto-Associative Neural Network 35th Annual Int. Conf. IEEE Engineering in Medicine and Biology Society (EMBC), pp. 4247\u20134250. IEEE.","DOI":"10.1109\/EMBC.2013.6610483"},{"key":"2015072408081102000_27.5.521.16","doi-asserted-by":"publisher","DOI":"10.1016\/0031-3203(94)00085-Z"},{"key":"2015072408081102000_27.5.521.17","unstructured":"Chittaro L. (2013) Anxiety induction in virtual environments: an experimental comparison of three general techniques Interact. Comput., iwt049."},{"key":"2015072408081102000_27.5.521.18","doi-asserted-by":"publisher","DOI":"10.1007\/s00779-011-0466-1"},{"key":"2015072408081102000_27.5.521.19","doi-asserted-by":"crossref","unstructured":"Cohen S. Kessler R. Gordon L. (1995) Strategies for Measuring Stress in Studies of Psychiatric and Physical Disorders. In Cohen S. Kessler R. Gordon L. (eds). Measuring Stress, pp. 3\u201328. New York: Oxford University Press.","DOI":"10.1093\/oso\/9780195086416.003.0001"},{"key":"2015072408081102000_27.5.521.20","doi-asserted-by":"publisher","DOI":"10.1109\/TITB.2010.2047727"},{"key":"2015072408081102000_27.5.521.21","doi-asserted-by":"publisher","DOI":"10.3390\/s110605561"},{"key":"2015072408081102000_27.5.521.22","unstructured":"Duda R.O. Hart P.E. Stork D.G. (1999) Pattern Classification. John Wiley and Sons."},{"key":"2015072408081102000_27.5.521.23","doi-asserted-by":"publisher","DOI":"10.1177\/0145445509348056"},{"key":"2015072408081102000_27.5.521.24","doi-asserted-by":"publisher","DOI":"10.1016\/j.artmed.2013.09.004"},{"key":"2015072408081102000_27.5.521.25","unstructured":"Gaggioli A. Cipresso P. Serino S. Campanaro D.M. Pallavicini F. Wiederhold B.K. Riva G. (2013a) Positive technology: a free mobile platform for the self-management of psychological stress. Stud. Health Technol. Inf., 199, 25\u201329."},{"key":"2015072408081102000_27.5.521.26","doi-asserted-by":"publisher","DOI":"10.1007\/s00779-011-0465-2"},{"key":"2015072408081102000_27.5.521.27","doi-asserted-by":"publisher","DOI":"10.2196\/jmir.3235"},{"key":"2015072408081102000_27.5.521.28","unstructured":"Gao K. Boyd C. Wiederhold M.D. Wiederhold B.K. (2013) VR mobile solutions for chronic stress reduction in young adults. Stud. Health Technol. Inform., 199, 88\u201393."},{"key":"2015072408081102000_27.5.521.29","doi-asserted-by":"crossref","unstructured":"Gomes P. Kaiseler M. Lopes B. Faria S. Queiros C. Coimbra M. (2013) Are Standard Heart Rate Variability Measures Associated with the Self-Perception of Stress of Firefighters in Action? 35th Annual Int. Conf. IEEE Engineering in Medicine and Biology Society (EMBC), pp. 2571\u20132574. IEEE.","DOI":"10.1109\/EMBC.2013.6610065"},{"key":"2015072408081102000_27.5.521.30","doi-asserted-by":"publisher","DOI":"10.1186\/1744-859X-9-30"},{"key":"2015072408081102000_27.5.521.31","unstructured":"Gorini A. Pallavicini F. Algeri D. Repetto C. Gaggioli A. Riva G. (2010b) Virtual reality in the treatment of generalized anxiety disorders. Stud. Health Technol. Inform., 154, 39\u201343."},{"key":"2015072408081102000_27.5.521.32","doi-asserted-by":"publisher","DOI":"10.1007\/s10916-010-9439-6"},{"key":"2015072408081102000_27.5.521.33","doi-asserted-by":"publisher","DOI":"10.1007\/s10916-009-9355-9"},{"key":"2015072408081102000_27.5.521.34","doi-asserted-by":"publisher","DOI":"10.3109\/03091902.2013.831493"},{"key":"2015072408081102000_27.5.521.35","doi-asserted-by":"crossref","unstructured":"Kim D. Seo Y. Cho J. Cho C.H. (2008) Detection of Subjects with Higher Self-Reporting Stress Scores Using Heart Rate Variability Patterns During the Day 30th Annual Int. Conf. IEEE Engineering in Medicine and Biology Society, EMBS 2008, pp. 682\u2013685. IEEE.","DOI":"10.1109\/IEMBS.2008.4649244"},{"key":"2015072408081102000_27.5.521.36","doi-asserted-by":"crossref","unstructured":"Kimhy D. Delespaul P. Ahn H. Cai S. Shikhman M. Lieberman J.A. Sloan R.P. (2009) Concurrent measurement of \u2018real-world\u2019 stress and arousal in individuals with psychosis: assessing the feasibility and validity of a novel methodology. Schizophr Bull, 36, 1131\u20131139.","DOI":"10.1093\/schbul\/sbp028"},{"key":"2015072408081102000_27.5.521.37","doi-asserted-by":"crossref","unstructured":"Kohonen T. (1995) Self-Organizing Maps. Series in Information Sciences, 30. Springer, Heidelberg.","DOI":"10.1007\/978-3-642-97610-0"},{"key":"2015072408081102000_27.5.521.38","doi-asserted-by":"publisher","DOI":"10.3390\/s130100813"},{"key":"2015072408081102000_27.5.521.39","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2003.822759"},{"key":"2015072408081102000_27.5.521.40","doi-asserted-by":"publisher","DOI":"10.1093\/oxfordjournals.eurheartj.a014868"},{"key":"2015072408081102000_27.5.521.41","doi-asserted-by":"publisher","DOI":"10.1093\/oxfordjournals.eurheartj.a014868"},{"key":"2015072408081102000_27.5.521.42","unstructured":"Manzoni G.M. Gorini A. Preziosa A. Pagnini F. Castelnuovo G. Molinari E. Riva G. (2008) New Technologies and relaxation: an exploratory study on obese patients with emotional eating. The role of presence. J. Cybertherapy Rehabil., 1, 182\u2013192."},{"key":"2015072408081102000_27.5.521.43","doi-asserted-by":"publisher","DOI":"10.1007\/BF02348434"},{"key":"2015072408081102000_27.5.521.44","doi-asserted-by":"publisher","DOI":"10.3109\/01612848509009464"},{"key":"2015072408081102000_27.5.521.45","doi-asserted-by":"crossref","unstructured":"Melillo P. Bracale M. Pecchia L. (2011) Nonlinear heart rate variability features for real-life stress detection. Case study: students under stress due to university examination. Biomed. Eng. Online, 10, 96.","DOI":"10.1186\/1475-925X-10-96"},{"key":"2015072408081102000_27.5.521.46","doi-asserted-by":"publisher","DOI":"10.1037\/0033-2909.133.1.25"},{"key":"2015072408081102000_27.5.521.47","doi-asserted-by":"publisher","DOI":"10.2196\/jmir.1371"},{"key":"2015072408081102000_27.5.521.48","doi-asserted-by":"crossref","unstructured":"Okada Y. Yoto T.Y. Suzuki T. Sakuragawa S. Sugiura T. (2013) Wearable ECG Recorder with Acceleration Sensors for Monitoring Daily Stress: Office Work Simulation Study 35th Annual Int. Conf. IEEE Engineering in Medicine and Biology Society (EMBC), pp. 4718\u20134721. IEEE.","DOI":"10.1109\/EMBC.2013.6610601"},{"key":"2015072408081102000_27.5.521.49","doi-asserted-by":"publisher","DOI":"10.1093\/bja\/aes313"},{"key":"2015072408081102000_27.5.521.50","unstructured":"Pallavicini F. Algeri D. Repetto C. Gorini A. Riva G. (2009) Biofeedback, virtual reality and mobile phones in the treatment of Generalized Anxiety Disorder (GAD): a phase-2 controlled clinical trial. J. Cybertherapy Rehabil., 2, 315\u2013327."},{"key":"2015072408081102000_27.5.521.51","doi-asserted-by":"publisher","DOI":"10.1186\/1745-6215-14-191"},{"key":"2015072408081102000_27.5.521.52","unstructured":"Popovic S. Horvat M. Kukolja D. Dropuljic B. Cosic K. (2009) Stress inoculation training supported by physiology-driven adaptive virtual reality stimulation. Stud. Health Technol. Inf., 144, 50\u201354."},{"key":"2015072408081102000_27.5.521.53","unstructured":"Quinlan J.R. (1993) C4. 5: Programs for Machine Learning, Vol. 1. Morgan Kaufmann."},{"key":"2015072408081102000_27.5.521.54","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2013.05.024"},{"key":"2015072408081102000_27.5.521.55","unstructured":"Richman J.S. Moorman J.R. (2000) Physiological time-series analysis using approximate entropy and sample entropy Am. J. Physiol.-Heart Circ. Physiol., 278, H2039\u2013H2049."},{"key":"2015072408081102000_27.5.521.56","doi-asserted-by":"publisher","DOI":"10.1089\/cyber.2009.0320"},{"key":"2015072408081102000_27.5.521.57","unstructured":"Riva G. Gaggioli A. Grassi A. Raspelli S. Cipresso P. Pallavicini F. Donvito G. (2011) NeuroVR 2\u2014a free virtual reality platform for the assessment and treatment in behavioral health care. Stud. Health Technol. Inf., 163, 493\u2013495."},{"key":"2015072408081102000_27.5.521.58","doi-asserted-by":"publisher","DOI":"10.1023\/A:1025667309714"},{"key":"2015072408081102000_27.5.521.59","unstructured":"Rossman M.L. (2010) Guided imagery for self-healing: an essential resource for anyone seeking wellness. HJ Kramer."},{"key":"2015072408081102000_27.5.521.60","doi-asserted-by":"crossref","unstructured":"Salahuddin L. Cho J. Jeong M.G. Kim D. (2007) Ultra Short Term Analysis of Heart Rate Variability for Monitoring Mental Stress in Mobile Settings 29th Annual Int. Conf. IEEE Engineering in Medicine and Biology Society, EMBS 2007, pp. 4656\u20134659. IEEE.","DOI":"10.1109\/IEMBS.2007.4353378"},{"key":"2015072408081102000_27.5.521.61","doi-asserted-by":"publisher","DOI":"10.1260\/2040-2295.4.4.465"},{"key":"2015072408081102000_27.5.521.62","doi-asserted-by":"publisher","DOI":"10.1186\/1475-925X-12-44"},{"key":"2015072408081102000_27.5.521.63","doi-asserted-by":"publisher","DOI":"10.1007\/s10055-013-0237-6"},{"key":"2015072408081102000_27.5.521.64","doi-asserted-by":"publisher","DOI":"10.1016\/0301-0511(94)90024-8"},{"key":"2015072408081102000_27.5.521.65","unstructured":"Spielberger C.D. Gorsuch R.L. Lushene R. Vagg P.R. Jacobs G.A. (1983) Manual for the State-Trait Anxiety Inventory. Palo Alto, CA: Consulting Psychologists Press."},{"key":"2015072408081102000_27.5.521.66","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2012.04.007"},{"key":"2015072408081102000_27.5.521.67","doi-asserted-by":"crossref","unstructured":"Sweeney K.T. Kearney D. Ward T.E. Coyle S. Diamond D. (2013) Employing Ensemble Empirical Mode Decomposition for Artifact Removal: Extracting Accurate Respiration Rates from ECG Data During Ambulatory Activity 35th Annual Int. Conf. IEEE Engineering in Medicine and Biology Society (EMBC), pp. 977\u2013980. IEEE.","DOI":"10.1109\/EMBC.2013.6609666"},{"key":"2015072408081102000_27.5.521.68","doi-asserted-by":"publisher","DOI":"10.1016\/j.archoralbio.2004.06.007"},{"key":"2015072408081102000_27.5.521.69","doi-asserted-by":"publisher","DOI":"10.1016\/j.comcom.2011.11.015"},{"key":"2015072408081102000_27.5.521.70","doi-asserted-by":"crossref","unstructured":"Vapnik V. (1995) The Nature of Statistical Learning Theory. Springer.","DOI":"10.1007\/978-1-4757-2440-0"},{"key":"2015072408081102000_27.5.521.71","doi-asserted-by":"publisher","DOI":"10.1088\/0967-3334\/35\/8\/1607"},{"key":"2015072408081102000_27.5.521.72","doi-asserted-by":"publisher","DOI":"10.1016\/j.intcom.2012.04.008"},{"key":"2015072408081102000_27.5.521.73","doi-asserted-by":"publisher","DOI":"10.3390\/s130506141"},{"key":"2015072408081102000_27.5.521.74","doi-asserted-by":"publisher","DOI":"10.1109\/TITB.2010.2042606"},{"key":"2015072408081102000_27.5.521.75","doi-asserted-by":"publisher","DOI":"10.1109\/21.199466"},{"key":"2015072408081102000_27.5.521.76","unstructured":"Witten I.H. Frank E. (2005) Data Mining: Practical Machine Learning Tools and Techniques. Morgan Kaufmann."},{"key":"2015072408081102000_27.5.521.77","unstructured":"Wood D.P. Mclay R.L. Webb-Murphy J. Wiederhold M.D. Spira J.L. Pyne J.M. Wiederhold B.K. (2013) Virtual reality graded exposure therapy with arousal control for the treatment of combat related posttraumatic stress disorder: a follow up case series. Stud. Health Technol. Inf., 199, 141\u2013145."}],"container-title":["Interacting with Computers"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/academic.oup.com\/iwc\/article-pdf\/27\/5\/521\/5111665\/iwv010.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,6,8]],"date-time":"2024-06-08T08:39:54Z","timestamp":1717835994000},"score":1,"resource":{"primary":{"URL":"https:\/\/academic.oup.com\/iwc\/article-lookup\/doi\/10.1093\/iwc\/iwv010"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,4,8]]},"references-count":77,"journal-issue":{"issue":"5","published-online":{"date-parts":[[2015,7,24]]},"published-print":{"date-parts":[[2015,9]]}},"alternative-id":["10.1093\/iwc\/iwv010"],"URL":"https:\/\/doi.org\/10.1093\/iwc\/iwv010","relation":{},"ISSN":["0953-5438","1873-7951"],"issn-type":[{"value":"0953-5438","type":"print"},{"value":"1873-7951","type":"electronic"}],"subject":[],"published":{"date-parts":[[2015,4,8]]}}}