[1] ------, “Model-based prediction and optimal control of pandemics by non-pharmaceutical interventions,” IEEE Journal of Selected Topics in Signal Processing, vol. 16, no. 2, pp. 307--317, Feb. 2022. [Online]. Available: https://doi.org/10.1109/jstsp.2021.3129118bib | http ]
[2] C. Hegde, A. B. Rad, R. Sameni, and G. D. Clifford, “Modeling social distancing and quantifying epidemic disease exposure in a built environment,” IEEE Journal of Selected Topics in Signal Processing, vol. 16, no. 2, pp. 289--299, Feb. 2022. [Online]. Available: https://doi.org/10.1109/jstsp.2022.3145622bib | http ]
[3] D. Fattahi and R. Sameni, “Cramér-rao lower bounds of model-based electrocardiogram parameter estimation,” IEEE Transactions on Signal Processing, pp. 1--12, 2022. [Online]. Available: https://doi.org/10.1109/tsp.2022.3182113bib | http ]
[4] D. Fattahi, R. Sameni, E. Grooby, K. Tan, L. Zhou, A. King, A. Ramanathan, A. Malhotra, and F. Marzbanrad, “A blind filtering framework for noisy neonatal chest sounds,” IEEE Access, vol. 10, pp. 50715--50727, 2022. [Online]. Available: https://doi.org/10.1109/access.2022.3170052bib | http ]
[5] E. Grooby, C. Sitaula, D. Fattahi, R. Sameni, K. Tan, L. Zhou, A. King, A. Ramanathan, A. Malhotra, G. A. Dumont, and F. Marzbanrad, “Real-Time Multi-Level Neonatal Heart and Lung Sound Quality Assessment for Telehealth Applications,” IEEE Access, vol. 10, pp. 10934--10948, 2022. [Online]. Available: https://doi.org/10.1109/access.2022.3144355bib | DOI | http ]
[6] A. B. Rad, C. Galloway, D. Treiman, J. Xue, Q. Li, R. Sameni, D. Albert, and G. D. Clifford, “Atrial fibrillation detection in outpatient electrocardiogram monitoring: An algorithmic crowdsourcing approach,” PLOS ONE, vol. 16, no. 11, p. e0259916, Nov. 2021. [Online]. Available: https://doi.org/10.1371/journal.pone.0259916bib | http ]
[7] E. Sulas, M. Urru, R. Tumbarello, L. Raffo, R. Sameni, and D. Pani, “A non-invasive multimodal foetal ECG-Doppler dataset for antenatal cardiology research,” Scientific Data, vol. 8, no. 1, jan 2021. [Online]. Available: https://doi.org/10.1038/s41597-021-00811-3bib | http ]
[8] A. Kazemnejad, P. Gordany, and R. Sameni, “An open-access simultaneous electrocardiogram and phonocardiogram database,” bioRxiv, 2021. [Online]. Available: https://doi.org/10.1101/2021.05.17.444563bib | http ]
[9] J. H. Oliveira, F. Renna, P. Costa, D. Nogueira, C. Oliveira, C. Ferreira, A. Jorge, S. Mattos, T. Hatem, T. Tavares, A. Elola, A. Rad, R. Sameni, G. D. Clifford, and M. T. Coimbra, “The CirCor DigiScope dataset: From murmur detection to murmur classification,” IEEE Journal of Biomedical and Health Informatics, pp. 1--1, 2021. [Online]. Available: https://doi.org/10.1109/jbhi.2021.3137048bib | http ]
[10] M. Rahbar Alam and R. Sameni, “Automatic wake-sleep stages classification using electroencephalogram instantaneous frequency and envelope tracking,” bioRxiv, 2020. [Online]. Available: http://dx.doi.org/10.1101/2020.05.13.092841bib | http ]
[11] S. Tomassini, A. Sbrollini, A. Strazza, R. Sameni, I. Marcantoni, M. Morettini, and L. Burattini, “AdvFPCG-delineator: Advanced delineator for fetal phonocardiography,” Biomedical Signal Processing and Control, vol. 61, p. 102021, Aug 2020. [Online]. Available: https://doi.org/10.1016/j.bspc.2020.102021bib | http ]
[12] F. Jamshidian-Tehrani, R. Sameni, and C. Jutten, “Temporally Nonstationary Component Analysis; Application to Noninvasive Fetal Electrocardiogram Extraction,” IEEE Transactions on Biomedical Engineering, vol. 67, no. 5, pp. 1377--1386, 2020. [Online]. Available: http://dx.doi.org/10.1109/TBME.2019.2936943bib | http ]
[13] R. Sameni, “Mathematical modeling of epidemic diseases; a case study of the COVID-19 coronavirus,” arXiv preprint, 2020. [Online]. Available: https://arxiv.org/abs/2003.11371bib | http ]
[14] A. Zollanvari, A. P. James, and R. Sameni, “A theoretical analysis of the peaking phenomenon in classification,” Journal of Classification, Jul 2019. [Online]. Available: https://doi.org/10.1007/s00357-019-09327-3bib | http ]
[15] F. Karimzadeh, R. Boostani, E. Seraj, and R. Sameni, “A distributed classification procedure for automatic sleep stage scoring based on instantaneous electroencephalogram phase and envelope features,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 26, no. 2, pp. 362--370, Feb 2018. [Online]. Available: https://doi.org/10.1109/TNSRE.2017.2775058bib | http ]
[16] F. Jamshidian-Tehrani and R. Sameni, “Fetal ECG extraction from time-varying and low-rank noninvasive maternal abdominal recordings,” Physiological Measurement, Nov 2018. [Online]. Available: http://dx.doi.org/10.1088/1361-6579/aaef5dbib | http ]
[17] M. Fatemi and R. Sameni, “An Online Subspace Denoising Algorithm for Maternal ECG Removal from Fetal ECG Signals,” Iranian Journal of Science and Technology, Transactions of Electrical Engineering, vol. 2017, pp. 1--15, April 2017. [Online]. Available: http://dx.doi.org/10.1007/s40998-017-0018-4bib | http ]
[18] R. Sameni, “Online filtering using piecewise smoothness priors: Application to normal and abnormal electrocardiogram denoising,” Signal Processing, vol. 133, no. 4, pp. 52 -- 63, April 2017. [Online]. Available: https://doi.org/10.1016/j.sigpro.2016.10.019bib | http ]
[19] H. Hassani Saadi, R. Sameni, and A. Zollanvari, “Interpretive time-frequency analysis of genomic sequences,” BMC Bioinformatics, vol. 18, no. 4, p. 154, 2017. [Online]. Available: http://dx.doi.org/10.1186/s12859-017-1524-0bib | http ]
[20] R. Sameni and E. Seraj, “A robust statistical framework for instantaneous electroencephalogram phase and frequency estimation and analysis,” Physiological Measurement, vol. 38, no. 12, pp. 2141--2163, 2017. [Online]. Available: http://dx.doi.org/10.1088/1361-6579/aa93a1bib | http ]
[21] E. Seraj and R. Sameni, “Robust electroencephalogram phase estimation with applications in brain-computer interface systems,” Physiological Measurement, vol. 38, no. 3, p. 501, 2017. [Online]. Available: https://doi.org/10.1088/1361-6579/aa5bbabib | http ]
[22] H. Biglari and R. Sameni, “Fetal motion estimation from noninvasive cardiac signal recordings,” Physiological Measurement, vol. 37, no. 11, pp. 2003--2023, November 2016. [Online]. Available: https://doi.org/10.1088/0967-3334/37/11/2003bib | http ]
[23] J. Behar, T. Zhu, J. Oster, A. Niksch, D. Y. Mah, T. Chun, J. Greenberg, C. Tanner, J. Harrop, R. Sameni, J. Ward, A. J. Wolfberg, and G. D. Clifford, “Evaluation of the fetal QT interval using non-invasive fetal ECG technology,” Physiological Measurement, vol. 37, no. 9, pp. 1392--1403, September 2016. [Online]. Available: https://doi.org/10.1088/0967-3334/37/9/1392bib | http ]
[24] C. Liu, D. Springer, Q. Li, B. Moody, R. A. Juan, F. J. Chorro, F. Castells, J. M. Roig, I. Silva, A. E. W. Johnson, Z. Syed, S. E. Schmidt, C. D. Papadaniil, L. Hadjileontiadis, H. Naseri, A. Moukadem, A. Dieterlen, C. Brandt, H. Tang, M. Samieinasab, M. R. Samieinasab, R. Sameni, R. G. Mark, and G. D. Clifford, “An open access database for the evaluation of heart sound algorithms,” Physiological Measurement, vol. 37, no. 12, pp. 2181--2213, 2016. [Online]. Available: https://doi.org/10.1088/0967-3334/37/12/2181bib | http ]
[25] E. Nikahd, P. Behnam, and R. Sameni, “High-speed hardware implementation of fixed and runtime variable window length 1-d median filters,” IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 63, no. 5, pp. 478--482, 2016. [Online]. Available: https://doi.org/10.1109/TCSII.2015.2504945bib | http ]
[26] F. Razavipour and R. Sameni, “A Study of Event Related Potential Frequency Domain Coherency using Multichannel Electroencephalogram Subspace Analysis,” Journal of Neuroscience Methods, vol. 249, pp. 22--28, July 2015. [Online]. Available: http://dx.doi.org/10.1016/j.jneumeth.2015.03.037bib | http ]
[27] R. Sameni and C. Gouy-Pailler, “An Iterative Subspace Denoising Algorithm for Removing Electroencephalogram Ocular Artifacts,” Journal of Neuroscience Methods, vol. 225, no. 3, pp. 97--105, March 2014. [Online]. Available: http://dx.doi.org/10.1016/j.jneumeth.2014.01.024bib | http ]
[28] E. K. Roonizi and R. Sameni, “Morphological modeling of cardiac signals based on signal decomposition,” Computers in Biology and Medicine, vol. 43, no. 10, pp. 1453--1461, October 2013. [Online]. Available: http://dx.doi.org/10.1016/j.compbiomed.2013.06.017bib | http ]
[29] ------, “A General Framework for Extracting Fetal Magnetoencephalogram and Audio-Evoked Responses,” Journal of Neuroscience Methods, vol. 212, no. 2, pp. 283--296, January 2013. [Online]. Available: http://dx.doi.org/10.1016/j.jneumeth.2012.10.021bib | http ]
[30] L. Moraru, R. Sameni, U. Schneider, J. Haueisen, E. Schleußner, and D. Hoyer, “Validation of fetal auditory evoked cortical responses to enhance the assessment of early brain development using fetal MEG measurements,” Physiological Measurements, vol. 32, no. 11, pp. 1847--1868, October 2011. [Online]. Available: http://dx.doi.org/10.1088/0967-3334/32/11/002bib | http ]
[31] G. Clifford, R. Sameni, J. Ward, J. Robinson, and A. J. Wolfberg, “Clinically accurate fetal ECG parameters acquired from maternal abdominal sensors,” American Journal of Obstetrics and Gynecology, vol. 205, no. 1, pp. 47.e1--47.e5, July 2011. [Online]. Available: https://doi.org/10.1016/j.ajog.2011.02.066bib | http ]
[32] R. Sameni and G. D. Clifford, “A Review of Fetal ECG Signal Processing; Issues and Promising Directions,” The Open Pacing, Electrophysiology & Therapy Journal (TOPETJ), vol. 3, pp. 4--20, November 2010. [Online]. Available: 10.2174/1876536X01003010004bib | www: ]
[33] G. Clifford, S. Nemati, and R. Sameni, “An Artificial Vector Model for Generating Abnormal Electrocardiographic Rhythms,” Physiological Measurements, vol. 31, no. 5, pp. 595--609, May 2010. [Online]. Available: https://dx.doi.org/10.1088/0967-3334/31/5/001bib | http ]
[34] R. Sameni, C. Jutten, and M. B. Shamsollahi, “A deflation procedure for subspace decomposition,” Signal Processing, IEEE Transactions on, vol. 58, no. 4, pp. 2363--2374, 2010. [Online]. Available: https://doi.org/10.1109/TSP.2009.2037353bib | http ]
[35] T. Tsalaile, R. Sameni, S. Sanei, C. Jutten, and J. Chambers, “Sequential Blind Source Extraction For Quasi-Periodic Signals With Time-Varying Period,” Biomedical Engineering, IEEE Transactions on, vol. 56, no. 3, pp. 646--655, March 2009. [Online]. Available: https://doi.org/10.1109/TBME.2008.2002141bib | http ]
[36] R. Sameni, M. B. Shamsollahi, and C. Jutten, “Model-based Bayesian filtering of cardiac contaminants from biomedical recordings,” Physiological Measurement, vol. 29, no. 5, pp. 595--613, May 2008. [Online]. Available: https://doi.org/10.1088/0967-3334/29/5/006bib | http ]
[37] ------, “Multichannel Electrocardiogram Decomposition using Periodic Component Analysis,” Biomedical Engineering, IEEE Transactions on, vol. 55, no. 8, pp. 1935--1940, Aug 2008. [Online]. Available: https://doi.org/10.1109/TBME.2008.919714bib | http ]
[38] R. Sameni, M. B. Shamsollahi, C. Jutten, and G. D. Clifford, “A nonlinear bayesian filtering framework for ECG denoising,” Biomedical Engineering, IEEE Transactions on, vol. 54, no. 12, pp. 2172--2185, December 2007. [Online]. Available: https://doi.org/10.1109/TBME.2007.897817bib | http ]
[39] R. Sameni, G. D. Clifford, C. Jutten, and M. B. Shamsollahi, “Multichannel ECG and Noise Modeling: Application to Maternal and Fetal ECG Signals,” EURASIP Journal on Advances in Signal Processing, vol. 2007, pp. Article ID 43407, 14 pages, 2007. [Online]. Available: https://doi.org/10.1155/2007/43407bib | http ]

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