By Dr Reza Argha

Journal articles

Zobeiri A; Rezaee A; Hajati F; Argha A; Alinejad-Rokny H, 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

Ooi JH; Lim R; Seng H; Tan MP; Goh CH; Lovell NH; Argha A; Beh HC; Md Sari NA; Lim E, 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

Sadeghi A; Hajati F; Rezaee A; Sadeghi M; Argha A; Alinejad-Rokny H, 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

Celler BG; Yong A; Rubenis I; Butlin M; Argha A; Rehan R; Avolio A, 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

Celler BG; Yong A; Rubenis I; Butlin M; Argha A; Rehan R; Avolio A, 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

Celler BG; Yong A; Rubenis I; Butlin M; Argha A; Rehan R; Avolio A, 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

Celler BG; Yong A; Rubenis I; Butlin M; Argha A; Rehan R; Avolio A, 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

Celler BG; Argha A, 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

Zahedi R; Ghamsari R; Argha A; Macphillamy C; Beheshti A; Alizadehsani R; Lovell NH; Lotfollahi M; Alinejad-Rokny H, 2024, 'Deep learning in spatially resolved transcriptfomics: A comprehensive technical view', Briefings in Bioinformatics, 25, http://dx.doi.org/10.1093/bib/bbae082

Argha A; Alinejad-Rokny H; Baumgartner M; Schreier G; Celler BG; Redmond SJ; Butcher K; Ooi SY; Lovell NH, 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

Hansun S; Argha A; Alinejad-Rokny H; Alizadehsani R; Gorriz JM; Liaw S-T; Celler BG; Marks GB, 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

Rezaei A; Mascheroni A; Stevens MC; Argha R; Papandrea M; Puiatti A; Lovell NH, 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

Celler BG; Argha A, 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

Labani M; Beheshti A; Argha A; Alinejad-Rokny H, 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

Rezaei A; Stevens MC; Argha A; Mascheroni A; Puiatti A; Lovell NH, 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

Hansun S; Argha A; Liaw ST; Celler BG; Marks GB, 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

Argha A; Celler BG; Yong A; Rubenis I; Butlin M; Avolio A, 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

Hansun S; Argha A; Alinejad-Rokny H; Liaw ST; Celler BG; Marks GB, 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

Celler B; Yong A; Rubenis I; Butlin M; Argha R; Rehan R; Avolio A, 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

Celler BG; Argha A, 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

Argha A; Celler BG; Lovell NH, 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

Argha A; Celler BG; Alinejad-Rokny H; Lovell NH, 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

Celler BG; Butlin M; Argha A; Tan I; Yong A; Avolio A, 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

Argha A; Celler BG; Lovell NH, 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

Huang Y; Song R; Argha A; Celler BG; Savkin AV; Su SW, 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

Argha A; Celler BG, 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

Celler BG; Le PN; Argha A; Ambikairajah E, 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

Huang Y; Song R; Argha A; Savkin AV; Celler BG; Su SW, 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

Yu H; Zhang Y; Ye L; Alqudah HM; Guo K; Argha A; Celler BG; Song R; Su S, 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

Argha A; Su SW; Zheng WX; Celler BG, 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

Argha A; Su SW; Ye L; Celler BG, 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

Argha A; Su SW; Savkin A; Celler B, 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

Celler BG; Le PN; Argha A; Ambikairajah E, 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

Argha A; Su SW; Celler BG, 2019, 'Control allocation-based fault tolerant control', Automatica, 103, pp. 408 - 417, http://dx.doi.org/10.1016/j.automatica.2019.02.014

Argha A; Su SW; Savkin A; Celler B, 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

Argha A; Su SW; Celler BG, 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

Argha A; Wu J; Su SW; Celler BG, 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

Argha A; Celler BG, 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

Argha A; Li L; Su SW; Nguyen H, 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

Celler BG; Argha A; Le PN; Ambikairajah E, 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

Argha A; Su SW; Savkin A; Celler BG, 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

Ye L; Argha A; Yu H; Celler BG; Nguyen HT; Su S, 2018, 'Dynamic characteristics of oxygen consumption', BioMedical Engineering Online, 17, http://dx.doi.org/10.1186/s12938-018-0476-6

Celler BRANKO; Argha REZA; Varnfield M; Jayasena R; Celler B, 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

Argha A; Savkin A; Liaw ST; Celler BG; Liaw T, 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

Argha A; Su SW; Savkin A; Celler BG, 2018, 'Mixed H2/H∞-based actuator selection for uncertain polytopic systems with regional pole placement', International Journal of Control, 91, pp. 320 - 336, http://dx.doi.org/10.1080/00207179.2017.1279753

Argha A; Li L; Su SW, 2018, 'ℋ2-based optimal sparse sliding mode control for networked control systems', International Journal of Robust and Nonlinear Control, 28, pp. 16 - 30, http://dx.doi.org/10.1002/rnc.3852

Ye L; Argha A; Celler BG; Nguyen HT; Su SW, 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

Argha A; Li L; Su SW, 2017, 'Design of H2 (H∞)-based optimal structured and sparse static output feedback gains', Journal of the Franklin Institute, 354, pp. 4156 - 4178, http://dx.doi.org/10.1016/j.jfranklin.2017.03.011

Argha A; Li L; Su SW, 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

Argha A; Su SW; Celler BG, 2017, 'Heart rate regulation during cycle-ergometer exercise via event-driven biofeedback', Medical and Biological Engineering and Computing, 55, pp. 483 - 492, http://dx.doi.org/10.1007/s11517-016-1530-9

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