Abibullaev B, An J (2012) Classification of frontal cortex haemodynamic responses during cognitive tasks using wavelet transforms and machine learning algorithms. Med Eng Phys 34(10):1394–1410

Article  PubMed  Google Scholar 

Ahmadi A, Bazregarzadeh H, Kazemi K (2021) Automated detection of driver fatigue from electroencephalography through wavelet-based connectivity. Biocybern Biomed Eng 41(1):316–332

Article  Google Scholar 

Al-Shargie F, Tang TB, Kiguchi M (2017) Assessment of mental stress effects on prefrontal cortical activities using canonical correlation analysis: an fnirs-eeg study. Biomed Opt Express 8(5):2583–2598

Article  PubMed  PubMed Central  Google Scholar 

Alyan E, Saad NM, Kamel N, Al-Bawri SS, Zakariya MA, Rahman MA (2021) Identifying the impact of noise-levels on mental stress: An eeg-fnirs study. In: Journal of Physics: Conference Series, vol 1962, p 012006. IOP Publishing

Andén J, Mallat S (2014) Deep scattering spectrum. IEEE Transact Signal Process 62(16):4114–4128

Article  Google Scholar 

Arar ÖF, Ayan K (2017) A feature dependent naive bayes approach and its application to the software defect prediction problem. Appl Soft Comput 59:197–209

Article  Google Scholar 

Asgher U, Khalil K, Khan MJ, Ahmad R, Butt SI, Ayaz Y, Naseer N, Nazir S (2020) Enhanced accuracy for multiclass mental workload detection using long short-term memory for brain-computer interface. Front Neurosci 14:584

Article  PubMed  PubMed Central  Google Scholar 

Baker WB, Parthasarathy AB, Busch DR, Mesquita RC, Greenberg JH, Yodh AG (2014) Modified beer-lambert law for blood flow. Biomed Opt Express 5(11):4053–4075

Article  PubMed  PubMed Central  Google Scholar 

Baud MO, Schindler K, Rao VR (2021) Neuroimaging tools in multimedia learning: a systematic review. Clin Neurophysiol Pr 6:41–49

Article  Google Scholar 

Bruna J, Mallat S (2013) Invariant scattering convolution networks. IEEE Transact Pattern Anal Mach Intell 35(8):1872–1886

Article  Google Scholar 

Bruna J, Mallat S (2011) Classification with scattering operators. In: CVPR 2011, pp 1561–1566. IEEE

Dagher I (2008) Quadratic kernel-free non-linear support vector machine. J Glob Optim 41(1):15–30

Article  Google Scholar 

Dan M, Saha A, Konar A, Ralescu AL, Nagar AK (2016) A type-2 fuzzy approach towards cognitive load detection using fnirs signals. In: 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), pp 2508–2515. IEEE

Davoudi S, Ahmadi A, Daliri MR (2021) Frequency-amplitude coupling: a new approach for decoding of attended features in covert visual attention task. Neural Comput Appl 33:3487–3502

Article  Google Scholar 

De A, Bhattacharjee T, Konar A, Ralescu AL, Nagar AK (2017) A type-2 fuzzy set induced classification of cognitive load in inter-individual working memory performance based on hemodynamic response. In: 2017 IEEE Symposium Series on Computational Intelligence (SSCI), pp 1–7. IEEE

Ding Y, Liu R-D, Hong W, Yu Q, Wang J, Liu Y, Zhen R (2021) Specific mental arithmetic difficulties and general arithmetic learning difficulties: the role of phonological working memory. Psychol Rep 124(2):720–751

Article  PubMed  Google Scholar 

Gosala B, Kapgate PD, Jain P, Chaurasia RN, Gupta M (2023) Wavelet transforms for feature engineering in eeg data processing: an application on schizophrenia. Biomedical Signal Process Control 85:104811

Article  Google Scholar 

Hepdarcan I, Can S (2025) Psychometric characteristics of the n-back task: Construct validity across age and stimulus type, internal consistency, test-retest and alternate forms reliability. Current Psychology, 1–10

Herff C, Heger D, Fortmann O, Hennrich J, Putze F, Schultz T (2014) Mental workload during n-back task-quantified in the prefrontal cortex using fnirs. Front Hum Neurosci 7:935

Article  PubMed  PubMed Central  Google Scholar 

Hong K-S, Khan MJ, Hong MJ (2018) Feature extraction and classification methods for hybrid fnirs-eeg brain-computer interfaces. Front Hum Neurosci 12:246

Article  PubMed  PubMed Central  Google Scholar 

Huang Y-M, Cheng Y-P, Cheng S-C, Chen Y-Y (2020) Exploring the correlation between attention and cognitive load through association rule mining by using a brainwave sensing headband. Ieee Access 8:38880–38891

Article  Google Scholar 

Jiang Y, Chen W, You Y (2020) Scattering transform-based features for the automatic seizure detection. Biocybern Biomed Eng 40(1):77–89

Article  Google Scholar 

Karmakar S, Kamilya S, Dey P, Guhathakurta PK, Dalui M, Bera TK, Halder S, Koley C, Pal T, Basu A (2023) Real time detection of cognitive load using fnirs: a deep learning approach. Biomed Signal Process Control 80:104227

Article  Google Scholar 

Kesedžić I, Šarlija M, Božek J, Popović S, Ćosić K (2020) Classification of cognitive load based on neurophysiological features from functional near-infrared spectroscopy and electrocardiography signals on n-back task. IEEE Sens J 21(13):14131–14140

Article  Google Scholar 

Khan MA, Asadi H, Qazani MRC, Lim CP, Nahavandi S (2024) Functional near-infrared spectroscopy (fnirs) and eye tracking for cognitive load classification in a driving simulator using deep learning. arXiv preprint arXiv:2408.06349

Kiranyaz S, Avci O, Abdeljaber O, Ince T, Gabbouj M, Inman DJ (2021) 1d convolutional neural networks and applications: a survey. Mech Syst Signal Process 151:107398

Article  Google Scholar 

Kumar A, Karmakar S, Agarwal I, Pal T (2023) Mental workload classification with one-dimensional cnn using fnirs signal. In: International Conference on Pattern Recognition and Machine Intelligence, pp 746–755. Springer

Li H, Gong A, Zhao L, Wang F, Qian Q, Zhou J, Fu Y (2021) Identification of gait imagery based on fnirs and class-dependent sparse representation. Biomed Signal Process Control 68:102597

Article  Google Scholar 

Liang Z, Tian H, Yang H.-c.S., Arimitsu T, Takahashi T, Sassaroli A, Fantini S, Niu H, Minagawa Y, Tong Y (2021) Tracking brain development from neonates to the elderly by hemoglobin phase measurement using functional near-infrared spectroscopy. IEEE J Biomed Health Inform 25(7):2497–2509

Article  PubMed  Google Scholar 

Maher A, Qaisar SM, Salankar N, Jiang F, Tadeusiewicz R, Pławiak P, Abd El-Latif AA, Hammad M (2023) Hybrid eeg-fnirs brain-computer interface based on the non-linear features extraction and stacking ensemble learning. biocybernetics and biomedical engineering 43(2), 463–475

Mallat S (1999) A Wavelet Tour of Signal Processing. Elsevier

Mandal S, Singh B, Thakur K (2020) Classification of working memory loads using hybrid eeg and fnirs in machine learning paradigm. Electron Lett 56(25):1386–1389

Article  Google Scholar 

Miri Ashtiani SN, Daliri MR (2023) Identification of cognitive load-dependent activation patterns using working memory task-based fmri at various levels of difficulty. Sci Rep 13(1):16476

Article  PubMed  PubMed Central  CAS  Google Scholar 

Naseer N, Noori FM, Qureshi NK, Hong K-S (2016) Determining optimal feature-combination for lda classification of functional near-infrared spectroscopy signals in brain-computer interface application. Front Hum Neurosci 10:237

Article  PubMed  PubMed Central  Google Scholar 

NIRSIT LITE (2022) http://www.obelab.com/upload_file/down/NIRSITLITEAdultBrochureENG200625.pdf

Ozel P, Mutlu-Bayraktar D, Altan T, Coskun V, Olamat A (2023) Neuroimaging tools in multimedia learning: a systematic review. Interact Learn Environ 31(8):4865–4882

Article  Google Scholar 

Parmar S, Paunwala C (2023) A novel and efficient wavelet scattering transform approach for primitive-stage dyslexia-detection using electroencephalogram signals. Healthc Anal 3:100194

Article  Google Scholar 

Rezaei Z, Mohammadi M-M, Daliri MR (2024) Decoding covert visual attention to motion direction using graph theory features of eeg signals and quadratic discriminant analysis. Comput Hum Behav Rep 16:100544

Article  Google Scholar 

Santosa H, Zhai X, Fishburn F, Huppert T (2018) The nirs brain analyzir toolbox. Algorithms 11(5):73

Article  PubMed  PubMed Central  Google Scholar 

Saxena P, Singh SK, Gupta G (2023) Achieving effective learning outcomes through the use of analogies in teaching computer science. Mathematics 11(15):3340

Article  Google Scholar 

Scholkopf B, Sung K-K, Burges CJ, Girosi F, Niyogi P, Poggio T, Vapnik V (1997) Comparing support vector machines with gaussian kernels to radial basis function classifiers. IEEE Transact Signal Process 45(11):2758–2765

Article  Google Scholar 

Selesnick IW, Burrus CS (1998) Generalized digital butterworth filter design. IEEE Transact Signal Process 46(6):1688–1694

Article  Google Scholar 

Shah S, Nanavati N (2024) Impact of cognitive tasks on postural stability in young and older adults. Egyptian J Otolaryngol 40(1):182

Article  Google Scholar 

Sherkat H, Gjvaag T, Mirtaheri P (2019) Experimental investigation on the light transmission of a textile-based over-cap used in functional near-infrared spectroscopy. In: European Conference on Biomedical Optics, pp 11074–70. Optica Publishing Group

Shin J, Lühmann A, Blankertz B, Kim D-W, Jeong J, Hwang H-J, Müller K-R (2016) Open access dataset for eeg+ nirs single-trial classification. IEEE Transact Neural Syst Rehabil Eng 25(10):1735–1745

Article  Google Scholar 

Shin J, Von Lühmann A, Kim D-W, Mehnert J, Hwang H-J, Müller K-R (2018) Simultaneous acquisition of eeg and nirs during cognitive tasks for an open access dataset. Sci Data 5(1):1–16

Article  Google Scholar 

Sweller J (1988) Cognitive load during problem solving: effects on learning. Cogn Sci 12(2):257–285

Article  Google Scholar 

Tejaswi P, Venkatramaphanikumar S, Kishore KVK (2023) Proctor net: an AI framework for suspicious activity detection in online proctored examinations. Measurement 206:112266

Article  Google Scholar 

Wang J, Grant T, Velipasalar S, Geng B, Hirshfield L (2021) Taking a deeper look at the brain: predicting visual perceptual and working memory load from high-density fnirs data. IEEE J Biomed Health Inf 26(5):2308–2319