Published in IEEE-IJCNN, Glasgow, Scotland, 2020
This paper focused on using Deep Learning Model (i.e. EEGNet) on Patient’s Data.
Recommended citation: Raza, H., Chowdhury, A., and Bhattacharyya, S. Deep Learning based Prediction of EEG Motor Imagery of Stroke Patients’ for Neuro-Rehabilitation Application. IEEE-IJCNN, Accepted 20-March-2020.
Published in IEEE-IJCNN, Glasgow, Scotland, 2020
THis paper focused on combining EEGNet and Neural Structured Learning for Improving BCI performance.
Recommended citation: Raza, H., Chowdhury, A., Bhattacharyya, S., and Samothrakis, S. Single-Trial EEG Classification with EEGNet and Neural Structured Learning for Improving BCI Performance. IEEE-IJCNN, Accepted 20-March-2020.
Published in IEEE-IJCNN, 2019
This paper implemented the GAN in EEG signals for domain adaptation
Recommended citation: Raza, H., and Samothrakis, S. Bagging Adversarial Neural Networks for Domain Adaptation in Non-Stationary EEG. 2019 International Joint Conference on Neural Networks (IJCNN). Budapest, Hungary, 2019, pp. 1-7.
Published in Paediatric Obesity, 2019
This paper examines factors associated with PA levels in 12‐month infants.
Recommended citation: Raza, H., Zhou, S., Todd, S., Christian, D., Merchant, E., Morgan, K., Khanom, A., Hill, R., Lynos, R., and Brophy, S. Predictors of objectively measured physical activity in 12‐month‐old infants: A study of linked birth cohort data with electronic health records. Pediatric obesity, p.e12512..
Published in Journal of neuroscience methods, 2019
In this study, we have introduced a new corticomuscular feature extraction method based on the correlation between band-limited power time-courses (CBPT) associated with EEG and EMG. 16 healthy individuals and 8 hemiplegic patients participated in a BCI-based hand orthosis triggering task, to test the performance of the CBPT method. The healthy population was equally divided into two groups; one experimental group for CBPT-based BCI experiment and another control group for EEG-EMG coherence based BCI experiment.
Recommended citation: Chowdhury, A., Raza, H., Meena, YK., Dutta, A., and Prasad, G. (2019). An EEG-EMG correlation-based brain-computer interface for hand orthosis supported neuro-rehabilitation. Journal of neuroscience methods, 2019.
Published in IEEE Journal of Biomedical and Health Informatics, 2018
This paper is about the BCI-driven handexoskeleton trails conducted on stroke participants.
Recommended citation: Chowdhury, A., Meena, YK., Raza, H., Bhushan, B., Uttam, AK., Pandey, N., Hashmi, AA., Bajpai, A., Dutta, A., and Prasad, G. (2018). Active Physical Practice Followed by Mental Practice Using BCI-Driven Hand Exoskeleton: A Pilot Trial for Clinical Effectiveness and Usability. IEEE Journal of Biomedical and Health Informatics, 2018.
Published in Neurocomputing, 2018
This paper is about the adapting non-stationarity in EEG signals using ensemble learning methods.
Recommended citation: Raza, H., Rathee, D., Zhou, SM., Cecotti, H., and Prasad, G. (2018). Covariate Shift Estimation and Adaptation based Ensemble Learning for Handling Inter-or-Intra Session Non- Stationarity in EEG based Brain-Computer Interface.; Neurocomputing, 2018.
Published in IEEE Transactions on Cognitive and Developmental Systems, 2017
This paper is about detecting covariate shift and adaption in an online BCI system.
Recommended citation: Chowdhury, A., Raza., H., Meena, Y.K., Dutta, A., and Prasad,G. (2017). "Online Covariate Shift Detection based Adaptive Brain-Computer Interface to Trigger Hand Exoskeleton Feedback for Neuro-Rehabilitation." IEEE-TCDS-2017. 1(1).
Published in The Lancet, 2017
This paper is about finding predictors of objectively measured physical activity in 12-month-old British infants
Recommended citation: Raza, H., Zhou, SM., Hill, R., Lyons, RA., Brophy, S. (2017). "Identification of predictors of objectively measured physical activity in 12-month-old British infants: a machine learning driven study." The Lancet, 2017. 390, S74.
Published in IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2017
This paper is about CSD pre-processing method for enhanceing the performance of motor-imagery-related brain–computer interface.
Recommended citation: Rathee, D., Raza., H., Prasad, G., and Cecotti, H. (2017). "Current source density estimation enhances the performance of motor-imagery-related brain–computer interface." IEEE-TNSRE, 2017. 25(12), 2461 - 2471.
Published in International Joint Conference on Neural Networks (IJCNN), 2016, 2016
This paper is proposes a combination of transductive and inductive learning for managing non-stationarity in EEG-based BCI
Recommended citation: Raza, H., Cecotti, H., and Prasad, G. (2016). "A combination of transductive and inductive learning for handling non-stationarities in motor imagery classification." IEEE-IJCNN, 2016. 1(1).
Published in University of Ulster, 2015, 2016
Recommended citation: Raza, H. (2016). "Adaptive learning for modelling non-stationarity in EEG-based brain-computer interfacing." PhD Thesis, 2016.
Published in Proceedings of the 6th International Brain-Computer Interface Meeting, 2016, 2016
Recommended citation: Chwodhury, A., Raza, H., Dutta, A., and Prasad, G. (2016). "Cortico-Muscular-Coupling and Covariate Shift Adaptation based BCI for Personalized NeuroRehabilitation of Stroke Patients." BCI Meeting, 2016. pp. 4610-4614.
Published in Soft Computing, 2015
This paper is proposes an Adaptive Learning with Covariate Shift Detection
Recommended citation: Raza, H., Cecotti, H., Li, Y., and Prasad, G. (2016). "Adaptive Learning with Covariate Shift Detection for Motor Imagery based Brain-Computer Interfaces" Soft Computing 2016. 20(8), pp 63085-3096.
Published in International Joint Conference on Neural Networks (IJCNN), 2015, 2015
Article publicly available here
Recommended citation: Raza, H., Cecotti, H., and Prasad, G. (2015). "Optimising frequency band selection with forward-addition and backward-elimination algorithms in EEG-based brain-computer interfaces." IEEE-IJCNN-2015. 1(1).
Published in International Joint Conference on Neural Networks (IJCNN), 2015, 2015
Article publicly available here
Recommended citation: Raza, H., Cecotti, H., and Prasad, G. (2015). "Learning with covariate shift-detection and adaptation in non-stationary environments: Application to brain-computer interface." IEEE-IJCNN-2015. 1(1).
Published in 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2015, 2015
Recommended citation: Chwodhury, A., Raza, H., Dutta, A., Nishad, SS., Saxena, A., and Prasad, G. (2015). "A study on cortico-muscular coupling in finger motions for exoskeleton assisted neuro-rehabilitation." IEEE-EMBC-2015. pp. 4610-4614.
Published in Pattern Recognition, 2015
This paper is about detecting non-stationary changes/shifts in streaming data.
Recommended citation: Raza, H., Cecotti, H., and Prasad, G. (2015). "EWMA model based shift-detection methods for detecting covariate shifts in non-stationary environments" Pattern Recognition 2015. 48(3), pp 659-669.
Published in IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2014
Article publicly available here
Recommended citation: Raza, H., Prasad, G., and Cecotti, H. (2014). "Covariate shift-adaptation using a transductive learning model for handling non-stationarity in EEG based brain-computer interfaces." IEEE BIBM, 2014. 1(1).
Published in , 2014
Article publicly available here
Recommended citation: Raza, H., Prasad,G., and Li,Y. (2014). "Adaptive learning with covariate shift-detection for non-stationary environments." IEEE-UKCI-2014. 1(1).
Published in IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2013, 2013
Article publicly available here
Recommended citation: Raza, H., Li,Y., and Prasad,G. (2013). "Dataset shift detection in non-stationary environments using EWMA charts." IEEE-SMC-2013. 1(1).
Published in 9th IFIP WG 12.5 International Conference, AIAI 2013, Paphos, Cyprus, 2013
Article publicly available here
Recommended citation: H Raza, G Prasad, Y Li (2011). "EWMA Based Two-Stage Dataset Shift-Detection in Non-stationary Environments." 9th IFIP WG 12.5 International Conference, AIAI 2013, Paphos, Cyprus. 625-635.
Published in International Journal of Computer Applications, 2011
Recommended citation: B Singh, H Raza, Ritu. (2011). "GBG Approach for Connectivity and Coverage Control in Wireless Sensor Network." International Journal of Computer Applications. 1(1).
Published in 2010 IEEE International Conference on Methods and Models in Computer Science (ICM2CS-2010), 2010
Article publicly available here
Recommended citation: H Raza, P Nandal, S Makker. (2010). Selection of cluster-head using PSO in CGSR protocol IEEE-ICM2CS-2010. 1(1).