Imran Khan Niazi

According to our database1, Imran Khan Niazi authored at least 44 papers between 2011 and 2022.

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

Timeline

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Bibliography

2022
Single-Trial Classification of Error-Related Potentials in People with Motor Disabilities: A Study in Cerebral Palsy, Stroke, and Amputees.
Sensors, 2022

Exploring the Potential of Machine Learning for the Diagnosis of Balance Disorders Based on Centre of Pressure Analyses.
Sensors, 2022

Validity and Reliability of a Smartphone App for Gait and Balance Assessment.
Sensors, 2022

Scalable tensor factorization for recovering multiday missing intramuscular electromyography data.
J. Intell. Fuzzy Syst., 2022

2021
Detection of Error-Related Potentials in Stroke Patients from EEG Using an Artificial Neural Network.
Sensors, 2021

Decoding of Ankle Joint Movements in Stroke Patients Using Surface Electromyography.
Sensors, 2021

SVM-based Real-Time Classification of Prosthetic Fingers using Myo Armband-acquired Electromyography Data.
Proceedings of the 21st IEEE International Conference on Bioinformatics and Bioengineering, 2021

2020
A Multiday Evaluation of Real-Time Intramuscular EMG Usability with ANN.
Sensors, 2020

Decoding Attempted Hand Movements in Stroke Patients Using Surface Electromyography.
Sensors, 2020

Performance Evaluation of Convolutional Neural Network for Hand Gesture Recognition Using EMG.
Sensors, 2020

Eye and Voice-Controlled Human Machine Interface System for Wheelchairs Using Image Gradient Approach.
Sensors, 2020

Intra- and Inter-Rater Reliability of Manual Feature Extraction Methods in Movement Related Cortical Potential Analysis.
Sensors, 2020

Classification of error-related potentials from single-trial EEG in association with executed and imagined movements: a feature and classifier investigation.
Medical Biol. Eng. Comput., 2020

Upper limb complex movements decoding from pre-movement EEG signals using wavelet common spatial patterns.
Comput. Methods Programs Biomed., 2020

Latest Research Trends in Gait Analysis Using Wearable Sensors and Machine Learning: A Systematic Review.
IEEE Access, 2020

Determination of Optimum Segmentation Schemes for Pattern Recognition-Based Myoelectric Control: A Multi-Dataset Investigation.
IEEE Access, 2020

Comparison between Embroidered and Gel Electrodes on ECG-Derived Respiration Rate.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Investigating the feasibility of combining EEG and EMG for controlling a hybrid human computer interface in patients with spinal cord injury.
Proceedings of the 20th IEEE International Conference on Bioinformatics and Bioengineering, 2020

2019
Multiday Evaluation of Techniques for EMG-Based Classification of Hand Motions.
IEEE J. Biomed. Health Informatics, 2019

The Effects of Filter's Class, Cutoff Frequencies, and Independent Component Analysis on the Amplitude of Somatosensory Evoked Potentials Recorded from Healthy Volunteers.
Sensors, 2019

A Tensor-Based Method for Completion of Missing Electromyography Data.
IEEE Access, 2019

2018
Multiday EMG-Based Classification of Hand Motions with Deep Learning Techniques.
Sensors, 2018

An EEG Experimental Study Evaluating the Performance of Texas Instruments ADS1299.
Sensors, 2018

Classification of Overt and Covert Speech for Near-Infrared Spectroscopy-Based Brain Computer Interface.
Sensors, 2018

Investigation of Optimal Afferent Feedback Modality for Inducing Neural Plasticity with A Self-Paced Brain-Computer Interface.
Sensors, 2018

Effect of subject training on a movement-related cortical potential-based brain-computer interface.
Biomed. Signal Process. Control., 2018

Performance of Combined Surface and Intramuscular EMG for Classification of Hand Movements.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017
Classification of Hand Grasp Kinetics and Types Using Movement-Related Cortical Potentials and EEG Rhythms.
Comput. Intell. Neurosci., 2017

A novel approach for classification of hand movements using surface EMG signals.
Proceedings of the 2017 IEEE International Symposium on Signal Processing and Information Technology, 2017

2016
LQR Based Training of Adaptive Neuro-Fuzzy Controller.
Proceedings of the Advances in Neural Networks - Computational Intelligence for ICT, 2016

Universal Matched-Filter Template Versus Individualized Template for Single Trial Detection of Movement Intentions of Different Tasks.
Proceedings of the Advances in Neural Networks - Computational Intelligence for ICT, 2016

Detecting and classifying three different hand movement types through electroencephalography recordings for neurorehabilitation.
Medical Biol. Eng. Comput., 2016

Feature domain-specific movement intention detection for stroke rehabilitation with brain-computer interfaces.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2015
A Review of Techniques for Detection of Movement Intention Using Movement-Related Cortical Potentials.
Comput. Math. Methods Medicine, 2015

Comparison of Features for Movement Prediction from Single-Trial Movement-Related Cortical Potentials in Healthy Subjects and Stroke Patients.
Comput. Intell. Neurosci., 2015

Using a Portable Device for Online Single-Trial MRCP Detection and Classification.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2015, 2015

An empirical study to remove noise from single-trial MRCP for movement intention detection.
Proceedings of the IEEE 28th Canadian Conference on Electrical and Computer Engineering, 2015

2014
Use of Empirical Mode Decomposition for Classification of MRCP Based Task Parameters.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2014, 2014

Classification of kinetics of movement for lower limb using covariate shift method for brain computer interface.
Proceedings of the IEEE International Conference on Acoustics, 2014

Processing movement related cortical potentials in EEG signals for identification of slow and fast movements.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

2013
Detection of movement-related cortical potentials based on subject-independent training.
Medical Biol. Eng. Comput., 2013

2011
Performance of a Simulated Adaptive BCI Based on Experimental Classification of Movement-Related and Error Potentials.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2011

LivBioSig: Development of a toolbox for online bio-signals processing and experimentation.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

Accuracy of a BCI based on movement-related and error potentials.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011


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