R
Rana Fayyaz Ahmad
Researcher at Universiti Teknologi Petronas
Publications - 31
Citations - 578
Rana Fayyaz Ahmad is an academic researcher from Universiti Teknologi Petronas. The author has contributed to research in topics: Electroencephalography & EEG-fMRI. The author has an hindex of 10, co-authored 30 publications receiving 402 citations. Previous affiliations of Rana Fayyaz Ahmad include Petronas & Curtin University.
Papers
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Journal ArticleDOI
Feature extraction and classification for EEG signals using wavelet transform and machine learning techniques.
Hafeez Ullah Amin,Aamir Saeed Malik,Rana Fayyaz Ahmad,Nasreen Badruddin,Nidal Kamel,Muhammad Hussain,Weng-Tink Chooi +6 more
TL;DR: It is demonstrated that the proposed feature extraction approach has the potential to classify the EEG signals recorded during a complex cognitive task by achieving a high accuracy rate.
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A Review on EEG-Based Automatic Sleepiness Detection Systems for Driver
TL;DR: Different types of measures used in sleepiness detection systems (SDSs) are reviewed and several techniques proposed in ESDSs to optimize the number of EEG electrodes, increasing the sleepiness level resolution and incorporation of circadian information are discussed.
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A novel approach based on wavelet analysis and arithmetic coding for automated detection and diagnosis of epileptic seizure in EEG signals using machine learning techniques
TL;DR: A novel computer aided diagnostic technique based on the discrete wavelet transform (DWT) and arithmetic coding to differentiate epileptic seizure signals from normal (seizure-free) signals and has the potential for efficient application as an adjunct for the clinical diagnosis of epilepsy.
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Selection of Measurement Method for Detection of Driver Visual Cognitive Distraction: A Review
Norhasliza Mohamad Yusoff,Rana Fayyaz Ahmad,Christophe Guillet,Aamir Saeed Malik,Naufal M. Saad,Frédéric Merienne +5 more
TL;DR: This paper discusses the five common measurement methods for visual and cognitive driving distraction, which include driving performance, driver physical measures, driver biological measures, subjective reports, and hybrid measures.
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Simultaneous EEG-fMRI for working memory of the human brain
TL;DR: This review is focused on the WM research involving simultaneous EEG-fMRI data acquisition and analysis and adds to potential fusion methods which can be used for simultaneous EEG/fMRI for WM and cognitive tasks.