Publications by authors named "Muhammad Awais Bin Altaf"

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A Closed-Loop Ear-Worn Wearable EEG System with Real-Time Passive Electrode Skin Impedance Measurement for Early Autism Detection.
Muhammad Sheeraz, Abdul Rehman Aslam, Emmanuel Mic Drakakis, Hadi Heidari, Muhammad Awais Bin Altaf

Sensors (Basel)· November 2024

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A Shallow Autoencoder Framework for Epileptic Seizure Detection in EEG Signals.
Gul Hameed Khan, Nadeem Ahmad Khan, Muhammad Awais Bin Altaf, Qammer Abbasi

Sensors (Basel)· April 2023

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Channels and Features Identification: A Review and a Machine-Learning Based Model With Large Scale Feature Extraction for Emotions and ASD Classification.
Abdul Rehman Aslam, Nauman Hafeez, Hadi Heidari, Muhammad Awais Bin Altaf

Front Neurosci· July 2022

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Classifying Single Channel Epileptic EEG data based on Sparse Representation using Shallow Autoencoder.
Gul Hameed Khan, Nadeem Ahmad Khan, Muhammad Awais Bin Altaf, Mujeeb Ur Rehman Abid

Annu Int Conf IEEE Eng Med Biol Soc· November 2021

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A 10.13µJ/Classification 2-Channel Deep Neural Network Based SoC for Negative Emotion Outburst Detection of Autistic Children.
Abdul Rehman Aslam, Muhammad Awais Bin Altaf

IEEE Trans Biomed Circuits Syst· October 2021

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An On-Chip Processor for Chronic Neurological Disorders Assistance Using Negative Affectivity Classification.
Abdul Rehman Aslam, Muhammad Awais Bin Altaf

IEEE Trans Biomed Circuits Syst· August 2020

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Design and Implementation of a Machine Learning Based EEG Processor for Accurate Estimation of Depth of Anesthesia.
Wala Saadeh, Fatima Hameed Khan, Muhammad Awais Bin Altaf

IEEE Trans Biomed Circuits Syst· August 2019

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A Patient-Specific Single Sensor IoT-Based Wearable Fall Prediction and Detection System.
Wala Saadeh, Saad Adnan Butt, Muhammad Awais Bin Altaf

IEEE Trans Neural Syst Rehabil Eng· May 2019

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Design and Implementation of an On-Chip Patient-Specific Closed-Loop Seizure Onset and Termination Detection System.
Chen Zhang, Muhammad Awais Bin Altaf, Jerald Yoo

IEEE J Biomed Health Inform· July 2016

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A 1.83 μJ/Classification, 8-Channel, Patient-Specific Epileptic Seizure Classification SoC Using a Non-Linear Support Vector Machine.
Muhammad Awais Bin Altaf, Jerald Yoo

IEEE Trans Biomed Circuits Syst· February 2016

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