Search Results - subject:"Electroencephalogram"

An empirical wavelet transform-based approach for motion artifact removal in electroencephalogram signals

Nayak, Abhay B.; Shah, Aastha; Maheshwari, Shishir; … - In: Decision analytics journal 10 (2024), pp. 1-7

Motion artifacts reduce the quality of information in the electroencephalogram (EEG) signals. In this study, we have …

Persistent link: https://www.econbiz.de/10014543810

A novel optimal wavelet filter banks for automated diagnosis of Alzheimer's disease and mild cognitive impairment using Electroencephalogram signals

Puri, Digambar V.; Gawande, Jayanand P.; Rajput, … - In: Decision analytics journal 9 (2023), pp. 1-13

Electroencephalogram (EEG) of Alzheimer's disease (AD) patients show a slowing effect and less synchronization. EEG …

Persistent link: https://www.econbiz.de/10014532448

A machine learning-based decision support system for temporal human cognitive state estimation during online education using wearable physiological monitoring devices

Gupta, Swadha; Bhatia, Parteek; Tekchandani, Rajkumar - In: Decision analytics journal 8 (2023), pp. 1-16

sensor signals (i.e., Electroencephalogram (EEG) signals) that can inform the instructor whether a student is attentive. For …

Persistent link: https://www.econbiz.de/10014516977

Utilising physiological data for augmenting travel choice models : methodological frameworks and directions of future research

Hancock, Thomas O.; Choudhury, Charisma F. - In: Transport reviews : a transnational transdisciplinary … 43 (2023) 5, pp. 838-866

Persistent link: https://www.econbiz.de/10014323467

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

Bhatnagar, Shaleen; Khandelwal, Sarika; Jain, Shruti; … - In: Decision analytics journal 7 (2023), pp. 1-6

function. We experimented with the mother wavelet decomposition method with 0 to 60 Hz frequency electroencephalogram signals …

Persistent link: https://www.econbiz.de/10014434143

Effect of emotion induction on potential consumers' visual attention in beer advertisements : a neuroscience study

Paula, André Luiz Damião de; Lourenção, Marina … - In: European journal of marketing 57 (2023) 1, pp. 202-225

Persistent link: https://www.econbiz.de/10013502475

Analysis of brand visibility on smartphone images with three-stage model using eye-tracking and EEG : a decision-making study in neuromarketing

Aslan, Ramazan; Özbeyaz, Abdurrahman - In: Middle East journal of management : MEJM 9 (2022) 4, pp. 417-434

Persistent link: https://www.econbiz.de/10013350892

Application of nonlinear system identification for EEG modelling using VMD-based deep random vector functional link network

Pattanaik, Rakesh Kumar; Dwivedi, Rinky; Mohanty, Mihir … - In: International journal of networking and virtual … 27 (2022) 2, pp. 125-142

Persistent link: https://www.econbiz.de/10014314588

Looking beyond traditional measures of advertising impact : using neuroscientific methods to evaluate social marketing messages

Gountas, John; Gountas, Sandra; Ciorciari, Joseph; … - In: Journal of business research : JBR 105 (2019), pp. 121-135

Persistent link: https://www.econbiz.de/10012128491

Prestimulus Alpha Oscialltions As An Index Of Increased Cognitive Control Under The Auditory Condensation Task

Lazarev, Ivan E.; Molchanova, Darya V.; Novikov, Nikita A. - National Research University Higher School of Economics - 2014

Attentional lapses are usually viewed as a result of deterioration in cognitive control. Current theories suggest that deterioration in the cognitive control may be related to an increase in alpha rhythm power, although it is not clear whether this notion can be generalized outside of the visual...

Persistent link: https://www.econbiz.de/10011268432