Agarwal M, Singhal A (2023) Fusion of pattern-based and statistical features for schizophrenia detection from EEG signals. Med Eng Phys 112:103949
Baradits M, Bitter I, Czobor P (2020) Multivariate patterns of EEG microstate parameters and their role in the discrimination of patients with schizophrenia from healthy controls. Psychiatry Res 288:112938
Baygin M, Barua PD, Chakraborty S, Tuncer I, Dogan S, Palmer E, Tuncer T, Kamath AP, Ciaccio EJ, Acharya UR (2023) Ccpnet136: automated detection of schizophrenia using carbon chain pattern and iterative TQWT technique with EEG signals. Physiol Meas 44(3):035008
Bhadra S, Kumar CJ, Bhattacharyya DK (2024) Multiview EEG signal analysis for diagnosis of schizophrenia: an optimized deep learning approach. Multimed Tools Appl pp 1–32
Boostani R, Sadatnezhad K, Sabeti M (2009) An efficient classifier to diagnose of schizophrenia based on the eeg signals. Expert Syst Appl 36(3):6492–6499
Das K, Pachori RB (2021) Schizophrenia detection technique using multivariate iterative filtering and multichannel EEG signals. Biomed Signal Process Control 67:102525
De Bruin EA, Stam CJ, Bijl S, Verbaten MN, Kenemans JL (2006) Moderate-to-heavy alcohol intake is associated with differences in synchronization of brain activity during rest and mental rehearsal. Int J Psychophysiol 60(3):304–314
Dvey-Aharon Z, Fogelson N, Peled A, Intrator N (2015) Schizophrenia detection and classification by advanced analysis of eeg recordings using a single electrode approach. PloS One 10(4):0123033
Fisher DJ, Salisbury DF (2019) The neurophysiology of schizophrenia: current update and future directions. Int J Psychophysiol
Ford JM, Palzes VA, Roach BJ, Mathalon DH (2014) Did i do that? abnormal predictive processes in schizophrenia when button pressing to deliver a tone. Schizophr Bull 40(4):804–812
Gordillo D, Cruz JR, Chkonia E, Lin W-H, Favrod O, Brand A, Figueiredo P, Roinishvili M, Herzog MH (2023) The EEG multiverse of schizophrenia. Cereb Cortex 33(7):3816–3826
Gosala B, Dindayal Kapgate P, Jain P, Nath Chaurasia R, Gupta M (2023) Wavelet transforms for feature engineering in EEG data processing: an application on schizophrenia. Biomed Signal Process Control 85:104811. https://doi.org/10.1016/j.bspc.2023.104811
Jahmunah V, Oh SL, Rajinikanth V, Ciaccio EJ, Cheong KH, Arunkumar N, Acharya UR (2019) Automated detection of schizophrenia using nonlinear signal processing methods. Artif Intell Med 100:101698
Article CAS PubMed Google Scholar
Khare SK, Bajaj V, Siuly S, Sinha G (2020) Classification of schizophrenia patients through empirical wavelet transformation using electroencephalogram signals. In: Modelling and analysis of active biopotential signals in healthcare, vol 1, IOP Publishing Bristol, UK, pp 1–1
Khare SK, Bajaj V (2021) A self-learned decomposition and classification model for schizophrenia diagnosis. Comput Methods Programs Biomed 211:106450
Khare SK, Bajaj V (2022) A hybrid decision support system for automatic detection of schizophrenia using EEG signals. Comput Biol Med 141:105028
Khare SK, Bajaj V, Acharya UR (2021) SPWVD-CNN for automated detection of schizophrenia patients using EEG signals. IEEE Trans Instrum Meas 70:1–9
Ko D-W, Yang J-J (2022) EEG-based schizophrenia diagnosis through time series image conversion and deep learning. Electronics 11(14):2265
Krishnan PT, Raj ANJ, Balasubramanian P, Chen Y (2020) Schizophrenia detection using multivariate empirical mode decomposition and entropy measures from multichannel EEG signal. Biocybern Biomed Eng 40(3):1124–1139
Kumar JS, Bhuvaneswari P (2012) Analysis of electroencephalography (EEG) signals and its categorization-a study. Procedia Eng 38:2525–2536
Kumar TS, Rajesh KN, Maheswari S, Kanhangad V, Acharya UR (2023) Automated schizophrenia detection using local descriptors with EEG signals. Eng Appl Artif Intell 117:105602
Li F, Wang J, Liao Y, Yi C, Jiang Y, Si Y, Peng W, Yao D, Zhang Y, Dong W et al (2019) Differentiation of schizophrenia by combining the spatial EEG brain network patterns of rest and task P300. IEEE Trans Neural Syst Rehabilit Eng 27(4):594–602
Li B, Wang J, Guo Z, Li Y (2023) Automatic detection of schizophrenia based on spatial-temporal feature mapping and LeViT with EEG signals. Expert Syst Appl 224:119969
Naik M UK, Rafi Ahamed S (2024) Wavelet-based autoencoder and efficientnet for schizophrenia detection from EEG signals. arXiv e-prints, pp 2407
Oh SL, Vicnesh J, Ciaccio EJ, Yuvaraj R, Acharya UR (2019) Deep convolutional neural network model for automated diagnosis of schizophrenia using EEG signals. Appl Sci 9(14):2870
Olejarczyk E, Jernajczyk W (2017) EEG in schizophrenia. RepOD
Pacific W, Hasan SAW (2021) Magnitude and impact
Perera MPN, Mallawaarachchi S, Bailey NW, Murphy OW, Fitzgerald PB (2023) Obsessive-compulsive disorder (ocd) is associated with increased electroencephalographic (eeg) delta and theta oscillatory power but reduced delta connectivity. J Psychiatr Res 163:310–317
Perrottelli A, Giordano GM, Brando F, Giuliani L, Mucci A (2021) EEG-based measures in at-risk mental state and early stages of schizophrenia: a systematic review. Front Psychiatry 12:653642
Article PubMed PubMed Central Google Scholar
Ranjan R, Sahana BC, Bhandari AK (2024) Deep learning models for diagnosis of schizophrenia using eeg signals: emerging trends, challenges, and prospects. Arch Comput Methods Eng 31(4):2345–2384
Sabeti M, Boostani R, Katebi SD, Price G (2007) Selection of relevant features for eeg signal classification of schizophrenic patients. Biomed Signal Process Control 2(2):122–134
Sairamya N, Subathra M, George ST (2022) Automatic identification of schizophrenia using EEG signals based on discrete wavelet transform and RLNDiP technique with ANN. Expert Syst Appl 192:116230
Sharma M, Acharya UR (2021) Automated detection of schizophrenia using optimal wavelet-based l1 norm features extracted from single-channel EEG. Cognit Neurodyn 15(4):661–674
Sharma A, Rai JK, Tewari RP (2022) Schizophrenia detection using biomarkers from electroencephalogram signals. IETE J Res 68(4):3056–3064
Shoeibi A, Sadeghi D, Moridian P, Ghassemi N, Heras J, Alizadehsani R, Khadem A, Kong Y, Nahavandi S, Zhang Y-D et al (2021) Automatic diagnosis of schizophrenia in EEG signals using CNN-LSTM models. Front Neuroinform. https://doi.org/10.3389/fninf.2021.777977
Article PubMed PubMed Central Google Scholar
Singh K, Singh S, Malhotra J (2021) Spectral features based convolutional neural network for accurate and prompt identification of schizophrenic patients. Proc Inst Mech Eng Part H J Eng Med 235(2):167–184
Siuly S, Khare SK, Bajaj V, Wang H, Zhang Y (2020) A computerized method for automatic detection of schizophrenia using EEG signals. IEEE Trans Neural Syst Rehabilit Eng 28(11):2390–2400
Sponheim SR, Clementz BA, Iacono WG, Beiser M (2000) Clinical and biological concomitants of resting state eeg power abnormalities in schizophrenia. Biol Psychiatry 48(11):1088–1097
Article CAS PubMed Google Scholar
Sui J, Castro E, He H, Bridwell D, Du Y, Pearlson GD, Jiang T, Calhoun VD (2014) Combination of FMRI-SMRI-EEG data improves discrimination of schizophrenia patients by ensemble feature selection. In: 2014 36th annual international conference of the IEEE engineering in medicine and biology society, IEEE, pp 3889–3892
Sun J, Cao R, Zhou M, Hussain W, Wang B, Xue J, Xiang J (2021) A hybrid deep neural network for classification of schizophrenia using EEG data. Sci Rep 11(1):1–16
Supakar R, Satvaya P, Chakrabarti P (2022) A deep learning-based model using RNN-LSTM for the detection of schizophrenia from EEG data. Comput Biol Med 151:106225
Tawhid MNA, Siuly S, Wang K, Wang H (2023) Automatic and efficient framework for identifying multiple neurological disorders from EEG signals. IEEE Trans Technol Soc 4(1):76–86
Tikka DL, Singh AR, Tikka SK (2020) Social cognitive endophenotypes in schizophrenia: a study comparing first-episode schizophrenia patients and individuals at clinical-and familial-’at-risk for psychosis. Schizophr Res 215:157–166
Uhlhaas PJ, Singer W (2010) Abnormal neural oscillations and synchrony in schizophrenia. Nat Rev Neurosci 11(2):100–113
Article CAS PubMed Google Scholar
Yin G, Chang Y, Zhao Y, Liu C, Yin M, Fu Y, Shi D, Wang L, Jin L, Huang J et al (2023) Automatic recognition of schizophrenia from brain-network features using graph convolutional neural network. Asian J Psychiatry 87:103687
Comments (0)