Muhammad Bin Altaf

Orcid: 0000-0003-3615-3546

According to our database1, Muhammad Bin Altaf authored at least 58 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Characterizing Accuracy Trade-offs of EEG Applications on Embedded HMPs.
CoRR, 2024

2023
A Shallow Autoencoder Framework for Epileptic Seizure Detection in EEG Signals.
Sensors, 2023

Flexible EEG Headband with Artifact Reduction and Continuous Electrode Skin Impedance Monitoring for Neurological Disorders.
Proceedings of the 66th IEEE International Midwest Symposium on Circuits and Systems, 2023

A Wearable EEG Acquisition Device With Flexible Silver Ink Screen Printed Dry Sensors.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2023

Using Sparse Representation of EEG Signal from a Shallow Sparse Autoencoder for Epileptic Seizure Prediction.
Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies, 2023

Flexible Wearable Biopatches for Physiological Monitoring using Dry Thin Gold Film Electrodes.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2023

2022
A Fast HDR Image TMO based on a Simplified Eye Sensitivity Model.
Proceedings of the IEEE Workshop on Signal Processing Systems, 2022

A Closed-Loop Ear Wearable EEG Measurement Device with Realtime Electrode Skin Impedance Measurement.
Proceedings of the 20th IEEE Interregional NEWCAS Conference, 2022

Efficient Flicker-Free Tone mapping of HDR Videos.
Proceedings of the 24th IEEE International Workshop on Multimedia Signal Processing, 2022

Multiphysiological Shallow Neural Network-Based Mental Stress Detection System for Wearable Environment.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

A 2.7μJ/classification Machine-Learning based Approximate Computing Seizure Detection SoC.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

A 73 μW single channel Photoplethysmography-based Blood Pressure Estimation Processor.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

Shallow Sparse Autoencoder Based Epileptic Seizure Prediction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

A Wearable High Blood Pressure Classification Processor Using Photoplethysmogram Signals through Power Spectral Density Features.
Proceedings of the 4th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2022

2021
A Low Power Multi-Class Migraine Detection Processor Based on Somatosensory Evoked Potentials.
IEEE Trans. Circuits Syst. II Express Briefs, 2021

A 10.13µJ/Classification 2-Channel Deep Neural Network Based SoC for Negative Emotion Outburst Detection of Autistic Children.
IEEE Trans. Biomed. Circuits Syst., 2021

Approximate Feature Extraction for Low Power Epileptic Seizure Prediction in Wearable Devices.
Proceedings of the IEEE Nordic Circuits and Systems Conference, NorCAS 2021, Oslo, 2021

A 77.8-dB DR, 114.2 fJ/Step Amplifier-Less Current-to-Digital Converter.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

EDM: A multiclassification support system to identify seizure type using K Nearest Neighbor.
Proceedings of the 28th IEEE International Conference on Electronics, 2021

Wearable Low-power Closed-loop System for Tremor Detection and Stimulation using Electromyography (EMG).
Proceedings of the 28th IEEE International Conference on Electronics, 2021

Classifying Single Channel Epileptic EEG data based on Sparse Representation using Shallow Autoencoder.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

An 8.7 μJ/class. FFT accelerator and DNN-based configurable SoC for Multi-Class Chronic Neurological Disorder Detection.
Proceedings of the IEEE Asian Solid-State Circuits Conference, 2021

An 8.62 μ W Processor for Autism Spectrum Disorder Classification using Shallow Neural Network.
Proceedings of the 3rd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2021

2020
An On-Chip Processor for Chronic Neurological Disorders Assistance Using Negative Affectivity Classification.
IEEE Trans. Biomed. Circuits Syst., 2020

Design of Energy-Efficient Electrocorticography Recording System for Intractable Epilepsy in Implantable Environments.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

A10.13uJ/classification 2-channel Deep Neural Network-based SoC for Emotion Detection of Autistic Children.
Proceedings of the 2020 IEEE Custom Integrated Circuits Conference, 2020

The Extended i-NSS: An Intelligent EEG Tool for Diagnosing and Managing Epilepsy.
Proceedings of the Biomedical Engineering Systems and Technologies, 2020

2019
Design and Implementation of a Machine Learning Based EEG Processor for Accurate Estimation of Depth of Anesthesia.
IEEE Trans. Biomed. Circuits Syst., 2019

Wearable ECG Measurement System for Detection of Cardiac Arrhythmia.
Proceedings of the UK/China Emerging Technologies, 2019

An 8 Channel Patient Specific Neuromorphic Processor for the Early Screening of Autistic Children through Emotion Detection.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2019

A Single Channel EEG-based All AASM Sleep Stages Classifier for Neurodegenerative Disorder.
Proceedings of the 2019 IEEE Biomedical Circuits and Systems Conference, 2019

An ECG Processor for the Detection of Eight Cardiac Arrhythmias with Minimum False Alarms.
Proceedings of the 2019 IEEE Biomedical Circuits and Systems Conference, 2019

An Infrared High classification Accuracy Hand-held Machine Learning based Breast-Cancer Detection System.
Proceedings of the 2019 IEEE Biomedical Circuits and Systems Conference, 2019

2018
A wearable long-term single-lead ECG processor for early detection of cardiac arrhythmia.
Proceedings of the 2018 Design, Automation & Test in Europe Conference & Exhibition, 2018

A Portable Thermogram based Non-contact Non-invasive Early Breast-Cancer Screening Device.
Proceedings of the 2018 IEEE Biomedical Circuits and Systems Conference, 2018

Spur Gears and Leadscrew Based, Efficient and Flexible Infusion System Design.
Proceedings of the 2018 IEEE Biomedical Circuits and Systems Conference, 2018

A Patient-Specific Machine Learning based EEG Processor for Accurate Estimation of Depth of Anesthesia.
Proceedings of the 2018 IEEE Biomedical Circuits and Systems Conference, 2018

A Wearable Auto-Patient Adaptive ECG Processor for Shockable Cardiac Arrhythmia.
Proceedings of the IEEE Asian Solid-State Circuits Conference, 2018

2017
A 1.1-mW Ground Effect-Resilient Body-Coupled Communication Transceiver With Pseudo OFDM for Head and Body Area Network.
IEEE J. Solid State Circuits, 2017

A Pseudo OFDM With Miniaturized FSK Demodulation Body-Coupled Communication Transceiver for Binaural Hearing Aids in 65 nm CMOS.
IEEE J. Solid State Circuits, 2017

A wearable neuro-degenerative diseases detection system based on gait dynamics.
Proceedings of the 2017 IFIP/IEEE International Conference on Very Large Scale Integration, 2017

A Wearable Neuro-Degenerative Diseases Classification System Using Human Gait Dynamics.
Proceedings of the VLSI-SoC: Opportunities and Challenges Beyond the Internet of Things, 2017

Towards Design and Automation of Hardware-Friendly NOMA Receiver with Iterative Multi-User Detection.
Proceedings of the 54th Annual Design Automation Conference, 2017

A low complexity patient-specific threshold based accelerator for the Grand-mal seizure disorder.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2017

A 0.21 μJ patient-specific REM/Non-REM sleep classifier for Alzheimer patients.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2017

A high accuracy and low latency patient-specific wearable fall detection system.
Proceedings of the 2017 IEEE EMBS International Conference on Biomedical & Health Informatics, 2017

2016
Design and Implementation of an On-Chip Patient-Specific Closed-Loop Seizure Onset and Termination Detection System.
IEEE J. Biomed. Health Informatics, 2016

A 1.83 µJ/Classification, 8-Channel, Patient-Specific Epileptic Seizure Classification SoC Using a Non-Linear Support Vector Machine.
IEEE Trans. Biomed. Circuits Syst., 2016

Design of energy-efficient on-chip EEG classification and recording processors for wearable environments.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2016

A 1.1mW hybrid OFDM ground effect-resilient body coupled communication transceiver for head and body area network.
Proceedings of the IEEE Asian Solid-State Circuits Conference, 2016

2015
A 16-Channel Patient-Specific Seizure Onset and Termination Detection SoC With Impedance-Adaptive Transcranial Electrical Stimulator.
IEEE J. Solid State Circuits, 2015

21.8 A 16-ch patient-specific seizure onset and termination detection SoC with machine-learning and voltage-mode transcranial stimulation.
Proceedings of the 2015 IEEE International Solid-State Circuits Conference, 2015

A 16-channel, 1-second latency patient-specific seizure onset and termination detection processor with dual detector architecture and digital hysteresis.
Proceedings of the 2015 IEEE Custom Integrated Circuits Conference, 2015

A 2.45μW patient-specific non-invasive transcranial electrical stimulator with an adaptive skin-electrode impedance monitor.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2015

2013
An 8-Channel Scalable EEG Acquisition SoC With Patient-Specific Seizure Classification and Recording Processor.
IEEE J. Solid State Circuits, 2013

A 1.83µJ/classification nonlinear support-vector-machine-based patient-specific seizure classification SoC.
Proceedings of the 2013 IEEE International Solid-State Circuits Conference, 2013

A 1.52 uJ/classification patient-specific seizure classification processor using Linear SVM.
Proceedings of the 2013 IEEE International Symposium on Circuits and Systems (ISCAS2013), 2013

2012
An 8-channel scalable EEG acquisition SoC with fully integrated patient-specific seizure classification and recording processor.
Proceedings of the 2012 IEEE International Solid-State Circuits Conference, 2012


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