ORCID as entered in ROS

Select Publications
2025, 'A New Ensemble Transfer Learning Approach with Rejection Mechanism for Tuberculosis Disease Detection', IEEE Transactions on Radiation and Plasma Medical Sciences, 9, pp. 433 - 446, http://dx.doi.org/10.1109/TRPMS.2024.3474708
,2025, 'A Novel Deep Ensemble Method for Selective Classification of Electrocardiograms', IEEE Transactions on Biomedical Engineering, 72, pp. 833 - 842, http://dx.doi.org/10.1109/TBME.2024.3476088
,2025, 'Diagnostic Performance of Artificial Intelligence–Based Methods for Tuberculosis Detection: Systematic Review', Journal of Medical Internet Research, 27, http://dx.doi.org/10.2196/69068
,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
,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
,2018, 'Novel methods of testing and calibration of oscillometric blood pressure monitors', PLoS ONE, 13, pp. e0201123, http://dx.doi.org/10.1371/journal.pone.0201123
,2018, 'Novel frameworks for the design of fault-tolerant control using optimal sliding-mode control', International Journal of Robust and Nonlinear Control, 28, pp. 3015 - 3032, http://dx.doi.org/10.1002/rnc.4061
,2018, 'Dynamic characteristics of oxygen consumption', BioMedical Engineering Online, 17, http://dx.doi.org/10.1186/s12938-018-0476-6
,2018, 'Patient Adherence to Scheduled Vital Sign Measurements During Home Telemonitoring: Analysis of the Intervention Arm in a Before and After Trial', JMIR Medical Informatics, 20, pp. e15, http://dx.doi.org/10.2196/medinform.9200
,2018, 'Effect of seasonal variation on clinical outcome in patients with chronic conditions: Analysis of the commonwealth scientific and industrial research organization (csiro) national telehealth trial', JMIR Medical Informatics, 20, pp. e16, http://dx.doi.org/10.2196/medinform.9680
,2018, 'Mixed H
2018, 'ℋ
2017, 'Online auto-calibration of triaxial accelerometer with time-variant model structures', Sensors and Actuators, A: Physical, 266, pp. 294 - 307, http://dx.doi.org/10.1016/j.sna.2017.08.049
,2017, 'Design of H
2017, 'Sliding mode stabilisation of networked systems with consecutive data packet dropouts using only accessible information', International Journal of Systems Science, 48, pp. 1291 - 1300, http://dx.doi.org/10.1080/00207721.2016.1252444
,