Select Publications
Book Chapters
2018, 'Controllability analysis of 2D systems', in Advances in Discrete-Time Sliding Mode Control, CRC Press, pp. 171 - 185, http://dx.doi.org/10.1201/9781315136141-9
,2018, 'Discrete-time SMC for two-dimensional systems', in Advances in Discrete-Time Sliding Mode Control, CRC Press, pp. 161 - 170, http://dx.doi.org/10.1201/9781315136141-8
,2018, 'DSMC for NCSs involving actuation and measurement consecutive packet losses', in Advances in Discrete-Time Sliding Mode Control, CRC Press, pp. 87 - 110, http://dx.doi.org/10.1201/9781315136141-5
,2018, 'DSMC for NCSs involving consecutive measurement packet losses', in Advances in Discrete-Time Sliding Mode Control, CRC Press, pp. 69 - 86, http://dx.doi.org/10.1201/9781315136141-4
,2018, 'H2-Based Optimal Sparse Sliding Mode Control for Networked Control Systems', in Advances in Discrete-Time Sliding Mode Control, CRC Press, pp. 141 - 158, http://dx.doi.org/10.1201/9781315136141-7
,2018, 'Heart rate regulation during cycle-ergometer exercise via event-driven biofeedback', in Advances in Discrete-Time Sliding Mode Control, CRC Press, pp. 189 - 213, http://dx.doi.org/10.1201/9781315136141-10
,2018, 'Introduction', in Advances in Discrete-Time Sliding Mode Control, CRC Press, pp. 1 - 23, http://dx.doi.org/10.1201/9781315136141-1
,2018, 'LMI-based output feedback DSMC', in Advances in Discrete-Time Sliding Mode Control, CRC Press, pp. 51 - 66, http://dx.doi.org/10.1201/9781315136141-3
,2018, 'LMI-based state feedback discrete-time SMC for uncertain systems', in Advances in Discrete-Time Sliding Mode Control, CRC Press, pp. 27 - 49, http://dx.doi.org/10.1201/9781315136141-2
,2018, 'Sparse Observer-based discrete-time SMC for NCSs', in Advances in Discrete-Time Sliding Mode Control, CRC Press, pp. 113 - 139, http://dx.doi.org/10.1201/9781315136141-6
,2017, 'State-Feedback Output Tracking Via a Novel Optimal-Sliding Mode Control', in Recent Developments in Sliding Mode Control Theory and Applications, InTech, http://dx.doi.org/10.5772/67468
,Journal articles
2025, 'Post-Cardiac arrest outcome prediction using machine learning: A systematic review and meta-analysis', International Journal of Medical Informatics, 193, http://dx.doi.org/10.1016/j.ijmedinf.2024.105659
,2024, 'Non-invasive parameters of autonomic function using beat-to-beat cardiovascular variations and arterial stiffness in hypertensive individuals: a systematic review', BioMedical Engineering Online, 23, http://dx.doi.org/10.1186/s12938-024-01202-6
,2024, '3DECG-Net: ECG fusion network for multi-label cardiac arrhythmia detection', Computers in Biology and Medicine, 182, http://dx.doi.org/10.1016/j.compbiomed.2024.109126
,2024, 'Evaluation of the oscillometric method for noninvasive blood pressure measurement during cuff deflation and cuff inflation with reference to intra-arterial blood pressure', Journal of Hypertension, 42, pp. 1235 - 1247, http://dx.doi.org/10.1097/HJH.0000000000003719
,2024, 'Comparison of cuff inflation and cuff deflation brachial sphygmomanometry with intra-arterial blood pressure as reference', Journal of Hypertension, 42, pp. 968 - 976, http://dx.doi.org/10.1097/HJH.0000000000003659
,2024, 'Validation of oscillometric ratio and maximum gradient methods for non-invasive blood pressure measurement with intra-arterial blood pressure measurements as reference', Journal of Hypertension, 42, pp. 1075 - 1085, http://dx.doi.org/10.1097/HJH.0000000000003698
,2024, 'Accurate detection of Korotkoff sounds reveals large discrepancy between intra-arterial systolic pressure and simultaneous noninvasive measurement of blood pressure with brachial cuff sphygmomanometry', Journal of Hypertension, 42, pp. 873 - 882, http://dx.doi.org/10.1097/HJH.0000000000003651
,2024, 'Measuring blood pressure from Korotkoff sounds as the brachial cuff inflates on average provides higher values than when the cuff deflates', Physiological Measurement, 45, http://dx.doi.org/10.1088/1361-6579/ad39a2
,2024, 'Deep learning in spatially resolved transcriptfomics: A comprehensive technical view', Briefings in Bioinformatics, 25, http://dx.doi.org/10.1093/bib/bbae082
,2024, 'A Novel Deep Ensemble Method for Selective Classification of Electrocardiograms', IEEE Transactions on Biomedical Engineering, http://dx.doi.org/10.1109/TBME.2024.3476088
,2024, 'A New Ensemble Transfer Learning Approach With Rejection Mechanism for Tuberculosis Disease Detection', IEEE Transactions on Radiation and Plasma Medical Sciences, pp. 1 - 1, http://dx.doi.org/10.1109/trpms.2024.3474708
,2023, 'Unobtrusive Human Fall Detection System Using mmWave Radar and Data Driven Methods', IEEE Sensors Journal, 23, pp. 7968 - 7976, http://dx.doi.org/10.1109/JSEN.2023.3245063
,2023, 'Retraction: Measuring blood pressure from Korotkoff sounds as the brachial cuff inflates on average provides higher values than when the cuff deflates (Physiological Measurement (2022) 43 (045001) DOI: 10.1088/1361-6579/ac278f)', Physiological Measurement, 44, http://dx.doi.org/10.1088/1361-6579/acc0fd
,2023, 'A Comprehensive Investigation of Genomic Variants in Prostate Cancer Reveals 30 Putative Regulatory Variants', International Journal of Molecular Sciences, 24, http://dx.doi.org/10.3390/ijms24032472
,2023, 'An Unobtrusive Human Activity Recognition System Using Low Resolution Thermal Sensors, Machine and Deep Learning', IEEE Transactions on Biomedical Engineering, 70, pp. 115 - 124, http://dx.doi.org/10.1109/TBME.2022.3186313
,2023, 'Machine and Deep Learning for Tuberculosis Detection on Chest X-Rays: Systematic Literature Review', Journal of Medical Internet Research, 25, http://dx.doi.org/10.2196/43154
,2023, 'New Perspectives on Non-invasive Blood Pressure Measurement', Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, http://dx.doi.org/10.1109/EMBC40787.2023.10340757
,2023, 'Revisiting Transfer Learning Method for Tuberculosis Diagnosis', Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, http://dx.doi.org/10.1109/EMBC40787.2023.10340441
,2023, 'KOROTKOFF SOUNDS DO NOT PROVIDE AN ACCURATE ESTIMATE OF SYSTOLIC AND DIASTOLIC PRESSURE IN SPHYGMOMANOMETRY AND CANNOT BE USED AS A CALIBRATION STANDARD FOR NIBP DEVICES', Journal of Hypertension, 41, pp. e114 - e115, http://dx.doi.org/10.1097/01.hjh.0000939912.77537.9f
,2022, 'Measuring blood pressure from Korotkoff sounds as the brachial cuff inflates on average provides higher values than when the cuff deflates', Physiological Measurement, 43, http://dx.doi.org/10.1088/1361-6579/ac278f
,2022, 'Artificial Intelligence Based Blood Pressure Estimation from Auscultatory and Oscillometric Waveforms: A Methodological Review', IEEE Reviews in Biomedical Engineering, 15, pp. 152 - 168, http://dx.doi.org/10.1109/RBME.2020.3040715
,2022, 'Blood Pressure Estimation From Korotkoff Sound Signals Using an End-to-End Deep-Learning-Based Algorithm', IEEE Transactions on Instrumentation and Measurement, 71, http://dx.doi.org/10.1109/TIM.2022.3217865
,2021, 'Are Korotkoff Sounds Reliable Markers for Accurate Estimation of Systolic and Diastolic Pressure Using Brachial Cuff Sphygmomanometry?', IEEE Transactions on Biomedical Engineering, 68, pp. 3593 - 3601, http://dx.doi.org/10.1109/TBME.2021.3079578
,2021, 'A novel automated blood pressure estimation algorithm using sequences of korotkoff sounds', IEEE Journal of Biomedical and Health Informatics, 25, pp. 1257 - 1264, http://dx.doi.org/10.1109/JBHI.2020.3012567
,2021, 'Human motion intent description based on bumpless switching mechanism for rehabilitation robot', IEEE Transactions on Neural Systems and Rehabilitation Engineering, 29, pp. 673 - 682, http://dx.doi.org/10.1109/TNSRE.2021.3066592
,2020, 'Blood Pressure Estimation from Time-Domain Features of Oscillometric Waveforms Using Long Short-Term Memory Recurrent Neural Networks', IEEE Transactions on Instrumentation and Measurement, 69, pp. 3614 - 3622, http://dx.doi.org/10.1109/TIM.2019.2941037
,2020, 'GMM-HMM-Based Blood Pressure Estimation Using Time-Domain Features', IEEE Transactions on Instrumentation and Measurement, 69, pp. 3631 - 3641, http://dx.doi.org/10.1109/TIM.2019.2937074
,2020, 'Continuous Description of Human 3D Motion Intent through Switching Mechanism', IEEE Transactions on Neural Systems and Rehabilitation Engineering, 28, pp. 277 - 286, http://dx.doi.org/10.1109/TNSRE.2019.2949203
,2020, 'Nonparametric Model Prediction for Intelligent Regulation of Human Cardiorespiratory System to Prescribed Exercise Medicine', IEEE Access, 8, pp. 224621 - 224630, http://dx.doi.org/10.1109/ACCESS.2020.3042542
,2019, 'Sliding-mode fault-tolerant control using the control allocation scheme', International Journal of Robust and Nonlinear Control, 29, pp. 6256 - 6273, http://dx.doi.org/10.1002/rnc.4727
,2019, 'Optimal sparse output feedback for networked systems with parametric uncertainties', Numerical Algebra, Control and Optimization, 9, pp. 283 - 295, http://dx.doi.org/10.3934/naco.2019019
,2019, 'Design of optimal sliding-mode control using partial eigenstructure assignment', International Journal of Control, 92, pp. 1511 - 1523, http://dx.doi.org/10.1080/00207179.2017.1398418
,2019, 'Blood Pressure Estimation Using Time Domain Features of Auscultatory Waveforms and GMM-HMM Classification Approach', Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference, 2019, pp. 208 - 211, http://dx.doi.org/10.1109/EMBC.2019.8857920
,2019, 'Control allocation-based fault tolerant control', Automatica, 103, pp. 408 - 417, http://dx.doi.org/10.1016/j.automatica.2019.02.014
,2019, 'A framework for optimal actuator/sensor selection in a control system', International Journal of Control, 92, pp. 242 - 260, http://dx.doi.org/10.1080/00207179.2017.1350755
,2019, 'Static output feedback fault tolerant control using control allocation scheme', International Journal of Robust and Nonlinear Control, 29, pp. 98 - 116, http://dx.doi.org/10.1002/rnc.4376
,2019, 'Blood pressure estimation from beat-by-beat time-domain features of oscillometric waveforms using deep-neural-network classification models', IEEE Access, 7, pp. 113427 - 113439, http://dx.doi.org/10.1109/ACCESS.2019.2933498
,2018, 'Seasonal Variation in An At-Home Telemonitoring Trial', Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 2018-July, pp. 1 - 4, http://dx.doi.org/10.1109/EMBC.2018.8512495
,2018, 'Sparsely distributed sliding mode control for interconnected systems', Journal of the Franklin Institute, 355, pp. 6191 - 6214, http://dx.doi.org/10.1016/j.jfranklin.2018.05.027
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