Imran Khan Niazi
Orcid: 0000-0001-8752-7224
According to our database1,
Imran Khan Niazi
authored at least 51 papers
between 2011 and 2024.
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Bibliography
2024
Sensors, February, 2024
From wearable activity trackers to Interstitial Glucose: Data to Insight- A proposed scientific journey.
Proceedings of the 2024 Australasian Computer Science Week, 2024
2023
Assessing Gait & Balance in Adults with Mild Balance Impairment: G&B App Reliability and Validity.
Sensors, December, 2023
A Cross-Day Analysis of EMG Features, Classifiers, and Regressors for Swallowing Events Detection and Fluid Intake Volume Estimation.
Sensors, October, 2023
Analysis of EEG signals using deep learning to highlight effects of vibration-based therapy on brain.
Biomed. Signal Process. Control., May, 2023
Can water-based EEG caps record robust movement-related cortical potentials (MRCPs) for single and multiple joint movements?
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
Classification Of Complicated Upper Limb Movements From Pre-movement EEG Signals Using STFT And Spectral Characteristics.
Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023
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
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
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
Sensors, 2020
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
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
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
IEEE Access, 2019
2018
Sensors, 2018
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
Proceedings of the 2017 IEEE International Symposium on Signal Processing and Information Technology, 2017
2016
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
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
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011