Published in journals
Y. Wu and B. Ghoraani, “Biological Signal Processing and Analysis for Healthcare Monitoring,” Sensors, 2022. Read Here
Y. Wu, S. Krishnan, and B. Ghoraani, “Computational Methods for Physiological Signal Processing and Data Analysis,” Computational and Mathematical Methods in Medicine, 2022. Read Here
M. Seifallahi, A.H. Mehraban, J.E. Galvin, and B. Ghoraani, “Alzheimer’s disease detection using comprehensive analysis of Timed Up and Go test via Kinect V. 2 camera and machine learning,” Transactions on Neural Systems and Rehabilitation Engineering, 2022. Read Here
M.D. Hssayeni, A. Chala, R. Dev, L. Xu, J. Shaw, B. Furht, and B. Ghoraani, “The Forecast of COVID-19 Spread Risk at The County Level,” Journal of Big Data, 2021. Read Here
B. Ghoraani, J.E. Galvin and J. Jimenez-Shahed, Response to “Comment on: Point of view: Wearable systems for at-home monitoring of motor complications in Parkinson's disease should deliver clinically actionable information”. Parkinsonism & related disorders, June 2021 Read Here
D. Hssayeni, J. Jimenez-Shahed, M.A. Burack, and B. Ghoraani, “Ensemble deep model for continuous estimation of Unified Parkinson’s Disease Rating Scale III”, Biomedical engineering online, 20(1), pp.1-20.January 2021 Read Here
D. Hssayeni, J. Jimenez-Shahed, M.A. Burack, and B. Ghoraani, “Dyskinesia estimation during activities of daily living using wearable motion sensors and deep recurrent networks”. Scientific Reports 11 (1), 1-12. January 2021 Read Here
B. Ghoraani, J. Galvin, J. Jimenez-Shahed, “Point of View: Wearable Systems for at-home monitoring of motor complications in Parkinson’s disease should deliver clinically actionable information”, Parkinsonism and Related Disorders, 84, 35-39, January 2021 Read Here
M.D. Hssayeni, B. Ghoraani, “Multi-modal Physiological Data Fusion for Affect Estimation Using Deep Learning”, IEEE Access 9, 21642-21652. January 2021 Read Here
B. Ghoraani, L.N. Boettcher, M. Hssayeni, A. Rosenfeld, M.I. Tolea, and J.E. Galvin, “Detection of Mild Cognitive Impairment and Alzheimer’s Disease using Dual-task Gait Assessments and Machine Learning,” Journal of Biomedical Signal Processing and Control, vol. 64 October 2020 Read Here
P. Ganesan, E.M. Cherry, D.T. Huang, A. Pertsov, and B. Ghoraani, “Atrial fibrillation source area probability mapping using electrogram patterns of multipole catheters”, BioMedical Engineering OnLine by Springer Nature, No. 19, Issue: 1, Pages: 1-23, May 2020 Read Here
Murtadha D. Hssayeni, Muayad S. Croock, Aymen Al-Ani, Hassan Falah Al-khafaji, Zakaria A. Yahya, and Behnaz Ghoraani, “Intracranial Hemorrhage Segmentation Using A Deep Convolutional Model”, MDPI Data, vol.5 , no.1, February 2020 Read Here
Murtadha D. Hssayeni, M.S., Muayad S. Croock, Ph.D., Aymen Al-Ani, Ph.D., Hassan Falah Al-khafaji, M.D., Zakaria A. Yahya, M.D., and Behnaz Ghoraani, Ph.D., “Intracranial Hemorrhage Segmentation Using Deep Convolutional Model” 2019 Read Here
M.D. Hssayeni, M.A. Burack, J. Jimenez-Shahed, and B. Ghoraani, “Wearable Sensors for Estimation of Parkinsonian Tremor Severity During Free Body Movements”, Sensors MPDI Journal, In press, Sept. 2019.Read Here
B. Ghoraani, M.D. Hssayeni, M.A. Burack, J. Jimenez-Shahed, “Multilevel Features for Sensor-based Assessment of Motor Fluctuation in Parkinson’s Disease Subjects”, IEEE Journal of Biomedical and Health Informatics, Sept. 2019. Read Here
B. Ghoraani, A.M. Suszko, R.J. Selvaraj, A. Subramanian, S. Krishnan, V.S. Chauhan, “Body Surface Distribution of T wave alternans is Modulated by Heart Rate and Ventricular Activation Sequence in Patients with Cardiomyopathy”, PLOS ONE, 14 (4), e0214729 April 2019. Read Here
P. Ganesan, E.M. Cherry, D.T. Huang, A. Pertsov, and B. Ghoraani, “Locating Atrial Fibrillation Rotor and Focal Sources Using Iterative Navigation of Multipole Diagnostic Catheters”, Cardiovascular engineering and technology, Pages: 1-13, May 2019. Read Here
M.D. Hssayeni, M.A. Burack, J. Jimenez-Shahed, and B. Ghoraani, “Assessment of Response to Medication in Individuals with Parkinson's Disease”, Medical Engineering & Physics, March 2019.Read Here
P. Ganesan, A. Salmin, E.M. Cherry, D.T. Huang, A. Pertsov, and B. Ghoraani, “Iterative Navigation of Multipole Diagnostic Catheters to Locate Repeating‐pattern Atrial Fibrillation Drivers”, Journal of Cardiovascular Electrophysiology, February 2019. Read Here
M.D. Hssayeni, J. Jimenez-Shahed, and B. Ghoraani, “Hybrid Feature Extraction for Detection of Degree of Motor Fluctuation Severity in Parkinson’s Disease Patients. Entropy, 21(2), p.137, January 2019.Read Here
M.D. Hssayeni, M.A. Burack, J. Jimenez-Shahed and B. Ghoraani, “Wearable-based Mediation State Detection in Individuals with Parkinson's Disease, 2018.Read Here
S. Traitruengsakul, L. E. Seltzer, A. R. Paciorkowski, and B. Ghoraani, “Developing A Novel Epileptic Discharge Localization Algorithm for Electroencephalogram Infantile Spasms During Hypsarrhythmia”, Medical & Biology Engineering and Computing Journal, Pages: 1-10, February 2017.Read Here
D. Sinkiewicz, L. Friesen, B. Ghoraani, “A novel method for extraction of neural response from single channel cochlear implant auditory evoked potentials”. Medical Engineering & Physics. 40 (2017) Pages: 47–55.Read Here
B. Ghoraani, “Class-specific Discriminant Time-frequency Analysis Using Novel Jointly-learnt Non-negative Matrix Factorization”, EURASIP Journal on Advances in Signal Processing, Sept 2016. Read Here
S. Ladavich and B. Ghoraani, “Rate-Independent Detection of Atrial Fibrillation by Statistical Modeling of Atrial Activity”, Biomedical Signal Processing and Control Journal, Pages: 274–281, 2015. Read Here
P. Ganesan, E. Cherry, A. Pertsov, and B. Ghoraani, “Characterization of Electrograms From Multi-polar Diagnostic Catheters During Atrial Fibrillation”, the Simulations of Heart Function Journal - BioMed Research International, 2015. Read Here
M. Sterling, D. Huang, and B. Ghoraani, “Developing a New Computer-aided Clinical Decision Support System For Prediction of Successful Post-cardioversion Patients With Persistent Atrial Fibrillation", Computational and Mathematical Methods in Medicine Journal - Congestive Heart Failure, 1(6), 2015. Read Here
A. Zeller and B. Ghoraani, “Body Surface Mapping of T-wave Alternans Depends on the Distribution of Myocardial Scarring”, The Open Cardiovascular Medicine Journal, 26, 2015. Read Here
B. Ghoraani, R. Dalvi, S. Gizurarson, M. Das, A. Ha, A. Suszko, S. Krishnan, and V. Chauhan, “Localized Rotational Activation in the Left Atrium during Human Atrial Fibrillation: Relationship to Complex Fractionated Atrial Electrograms and Low Voltage Zones”, Heart Rhythm, 10(12), Pages: 1830–1838, 2013. Read Here
B. Ghoraani, “Selected Topics on Time-Frequency Matrix Decomposition Analysis”, Journal of Pattern Recognition and Intelligent Systems, 1(3), Pages: 64-78, 2013.
M.F. Kaleem, B. Ghoraani, A. Guergachi, and S. Krishnan, “Pathological Speech Signal Analysis and Classification using Empirical Mode Decomposition”, Springer, Medical & Biological Engineering & Computing (MBEC) journal, 10.1007/s11517-013-1051-8, 51(7), Pages: 811-821, 2013. Read Here
B. Ghoraani, and S. Krishnan, "Discriminant Non-stationary Signal Features' Clustering Using Hard and Fuzzy Cluster Labeling" EURASIP Journal on Advances in Signal Processing Editorial, Pages: 2012-250, 2012. Read Here
B. Ghoraani, K. Umapathy, L. Sugavaneswaran, and S. Krishnan, “Pathological Speech Signal Analysis using Time-frequency Approaches” Critical Reviews in Biomedical Engineering, 40(1), Pages: 63-95, 2012. Read Here
B. Ghoraani, S. Krishnan, R. J. Selvaraj and V. S. Chauhan, ”T Wave Alternans Evaluation Using Adaptive Time-Frequency Signal Analysis and Non-negative Matrix Factorization”, Medical Engineering and Physics, 33(6), Pages:700-711, 2011. Read Here
B. Ghoraani, and S. Krishnan, “Time-Frequency Matrix Feature Extraction and Classification of Environmental Audio Signals”, the IEEE Transactions on Audio, Speech and Language Processing, 19 (7), Pages: 2197 – 2209, 2011.
K. Umapathy, B. Ghoraani, and S. Krishnan, "Audio Signal Processing using Time- frequency Approaches: Coding, Classification, Fingerprinting, and Watermarking", EURASIP Journal on Advances in Signal Processing, Volume 2010 (2010), Article ID 451695, 28 pages. Read Here
B. Ghoraani and S. Krishnan, ”A Joint Time-Frequency and Matrix Decomposition Feature Extraction Methodology for Pathological Voice Classification”, the EURASIP Journal on Advances in Signal Processing, vol. 2009, Article ID 928974, 11 pages, 2009, doi:10.1155/2009/928974. Read Here