A deep learning approach for assessing stress levels in patients using electroencephalogram signals

Abbott, 2012, Stress and the city: Urban decay, Nature, 490, 162, 10.1038/490162a Pickering, 2001, Mental stress as a causal factor in the development of hypertension and cardiovascular disease, Curr. Hypertens. Rep., 3, 249, 10.1007/s11906-001-0047-1 Espinosa-Garcia, 2017, Abstract TP83: stress exacerbates global ischemia-induced inflammatory response: intervention by progesterone, Stroke, 48, ATP83, 10.1161/str.48.suppl_1.tp83 Wallace, 2017, Multilevel analysis exploring the links between stress, depression, and sleep problems among two-year college students, J. Am. Coll. Health, 65, 187, 10.1080/07448481.2016.1269111 Brownson, 2014, Suicidal behavior and help seeking among diverse college students, J. Coll. Couns., 17, 116, 10.1002/j.2161-1882.2014.00052.x Allen, 2014, Biological and psychological markers of stress in humans: Focus on the Trier Social Stress Test, Neurosci. Biobehav. Rev., 38, 94, 10.1016/j.neubiorev.2013.11.005 Mönnikes, 2001, Role of stress in functional gastrointestinal disorders, Dig. Dis., 19, 201, 10.1159/000050681 Cohen, 1983, A global measure of perceived stress, J. Health Soc. Behav., 385, 10.2307/2136404 Spielberger, 2010, Test anxiety inventory, 1 Deschênes, 2015, Facial expression recognition impairment following acute social stress, J. Vis., 15, 1383, 10.1167/15.12.1383 Gowrisankaran, 2012, Asthenopia and blink rate under visual and cognitive loads, Optom. Vis. Sci., 89, 97, 10.1097/OPX.0b013e318236dd88 Novák, 2004, EEG and VEP signal processing, Cybern. Fac. Electr. Eng., 50, 53 Dubois, 2016, Building a science of individual differences from fMRI, Trends in Cognitive Sciences, 20, 425, 10.1016/j.tics.2016.03.014 Pereira, 2011, Music and emotions in the brain: familiarity matters, PLoS One, 6, 10.1371/journal.pone.0027241 Watkins, 1997, Music therapy: proposed physiological mechanisms and clinical implications, Clin. Nurse Speciat., 11, 43, 10.1097/00002800-199703000-00003 Dibben, 2007, An exploratory survey of in-vehicle music listening, Psychol. Music, 35, 571, 10.1177/0305735607079725 Haake, 2011, Individual music listening in workplace settings: An exploratory survey of offices in the UK, Music. Sci., 15, 107, 10.1177/1029864911398065 Kipnis, 2016, Background music playback in the preoperative setting: does it reduce the level of preoperative anxiety among candidates for elective surgery?, J. PeriAnesthesia Nurs., 31, 209, 10.1016/j.jopan.2014.05.015 R. Horlings, D. Datcu, L.J. Rothkrantz, Emotion recognition using brain activity, in: Proceedings of the 9th International Conference on Computer Systems and Technologies and Workshop for PhD Students in Computing, 2008, pp. II–1. Hoffmann, 2005 Hjorth, 1970, EEG analysis based on time domain properties, Electroencephalogr. Clin. Neurophysiol., 29, 306, 10.1016/0013-4694(70)90143-4 Gajbhiye, 2019, Novel approaches for the removal of motion artifact from EEG recordings, IEEE Sens. J., 19, 10600, 10.1109/JSEN.2019.2931727 Alex, 2020, Discrimination of genuine and acted emotional expressions using EEG signal and machine learning, IEEE Access, 8, 191080, 10.1109/ACCESS.2020.3032380 Malekzadeh, 2021, Epileptic seizures detection in EEG signals using fusion handcrafted and deep learning features, Sensors, 21, 10.3390/s21227710 García-Martínez, 2021, A review on nonlinear methods using electroencephalographic recordings for emotion recognition, IEEE Trans. Affect. Comput., 12, 801, 10.1109/TAFFC.2018.2890636 Yang, 2018, Causal decomposition in the mutual causation system, Nature Commun., 9 Asif, 2019, Human stress classification using EEG signals in response to music tracks, Comput. Biol. Med., 107, 182, 10.1016/j.compbiomed.2019.02.015 Sundaresan, 2021, Evaluating deep learning EEG-based mental stress classification in adolescents with autism for breathing entrainment BCI, Brain Inform., 8, 13, 10.1186/s40708-021-00133-5 Al-shargie, 2016, Mental stress quantification using EEG signals, 15 Gupta, 2020, Modified support vector machine for detecting stress level using EEG signals, Comput. Intell. Neurosci., 2020, 10.1155/2020/8860841 Katmah, 2021, A review on mental stress assessment methods using EEG signals, Sensors, 21, 10.3390/s21155043 Immanuel, 2022, Recognition of emotion with deep learning using EEG signals-the next big wave for stress management in this covid-19 outbreak, Period. Mineral., 91 Malviya, 2022, A novel technique for stress detection from EEG signal using hybrid deep learning model, Neural Comput. Appl., 34, 19819, 10.1007/s00521-022-07540-7 A.S. Nikhil, N.N. Banakar, P. Jagadeesh, A conceptual analysis for the measurement of stress intensity by deep learning using EEG signals, in: 2022 IEEE International Conference on Electronics, Computing and Communication Technologies, CONECCT, 2022, pp. 1–5. Peretz, 2005, Brain organization for music processing, Annu. Rev. Psychol., 56, 89, 10.1146/annurev.psych.56.091103.070225 Allen, 2001, Normalization of hypertensive responses during ambulatory surgical stress by perioperative music, Psychosom. Med., 63, 487, 10.1097/00006842-200105000-00019 Burns, 1999, Perceived and physiological indicators of relaxation: as different as Mozart and Alice in chains, Appl. Psychophys. Biof., 24, 197, 10.1023/A:1023488614364 Labbé, 2007, Coping with stress: the effectiveness of different types of music, Appl. Psychophys. Biof., 32, 163, 10.1007/s10484-007-9043-9 Ventura, 2012, Cortisol and anxiety response to a relaxing intervention on pregnant women awaiting amniocentesis, Psychoneuroendocrinology, 37, 148, 10.1016/j.psyneuen.2011.05.016 Blood, 2001, Intensely pleasurable responses to music correlate with activity in brain regions implicated in reward and emotion, Proc. Natl. Acad. Sci., 98, 11818, 10.1073/pnas.191355898 Menon, 1984, Effects in man of progabide on prolactin release induced by haloperidol or domperidone, Psychoneuroendocrinology, 9, 141, 10.1016/0306-4530(84)90033-7 Koelsch, 2010, Towards a neural basis of music-evoked emotions, Trends in Cognitive Sciences, 14, 131, 10.1016/j.tics.2010.01.002 Khan, 2022, A comparison of embedded validity indicators from the stroop color and word test among adults referred for clinical evaluation of suspected or confirmed attention-deficit/hyperactivity disorder, Psychol. Assess., 10.1037/pas0001137 Salankar, 2022, Impact of music in males and females for relief from neurodegenerative disorder stress, Contrast Media Mol. Imaging, 2022, 10.1155/2022/3080437 Lawhern, 2018, EEGNet: a compact convolutional neural network for EEG-based brain–computer interfaces, J. Neural Eng., 15, 10.1088/1741-2552/aace8c Salankar, 2022, Automated attention deficit classification system from multimodal physiological signals, Multimedia Tools Appl., 1 Lekhtman, 2021, Should I look at precision & recall OR specificity & sensitivity?, Medium Mian Qaisar, 2020, Arrhythmia diagnosis by using level-crossing ECG sampling and sub-bands features extraction for mobile healthcare, Sensors, 20, 2252, 10.3390/s20082252 Khan, 2022, A comparison of embedded validity indicators from the Stroop Color and Word Test among adults referred for clinical evaluation of suspected or confirmed attention-deficit/hyperactivity disorder, Psychol. Assess., 10.1037/pas0001137