Research
Biomedical Engineering Online
Medical Engineering
Human Atrial Fibrillation
Biomedical Signal Processing
Clinically Actionable Information
Mild Cognitive Impairment
Machine Learning
Affect Estimation Using Deep Learning
Biology Engineering, Biological Engineering
Neural Response
Auditory Evoked Potentials
Wave Alternans
Motor Complications
Home Monitoring
Related Disorders
Wearable Systems
Negative Matrix Factorization
Frequency Analysis
Class Specific Discriminant Time
Multilevel Features
Health Informatics
Heart Rate
Body Surface Distribution
Cardiovascular Electrophysiology
Wearable Sensors
Plos One
Cardiovascular Engineering
Focal Sources
County Level
Multi Modal Physiological Data
Wearable Motion Sensors
Ensemble Deep Model
Daily Living, Daily Lives
Continuous Estimation
Big Data
Recurrent Networks
Audio Signal Processing
Rate Independent Detection
New Computer
Atrial Activity
Congestive Heart Failure
Body Surface Mapping
Statistical Models, Statistical Modeling
Article Id
Selected Topics
Heart Rhythm
Pattern Recognition
Intelligent Systems
Localized Rotational Activation
Discriminant Non
Critical Review, Critical Reviews
Time Frequency Approach, Time Frequency Approaches
List of Publications (34)
In 2021
34
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
Found on Publication Text
33
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
Found on Publication Text
32
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
Found on Publication Text
31
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
Found on Publication Text
30
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
Found on Publication Text
29
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
Found on Publication Text
In 2020
28
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
Found on Publication Text
27
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
Found on Publication Text
26
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
Found on Publication Text
In 2019
25
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
Found on Publication Text
24
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
Found on Publication Text
23
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
Found on Publication Text
22
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
Found on Publication Text
21
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
Found on Publication Text
20
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
Found on Publication Text
19
P. Ganesan, A. Salmin, E.M. Cherry, D.T. Huang, A. Pertsov, and B. Ghoraani, "Iterative Navigation of Multipole Diagnostic Catheters to Locate Repeatingpattern Atrial Fibrillation Drivers", Journal of Cardiovascular Electrophysiology, February 2019. Read Here
Found on Publication Text
18
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
Found on Publication Text
In 2018
17
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
Found on Publication Text
In 2017
16
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
Found on Publication Text
15
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
Found on Publication Text
In 2016
14
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
Found on Publication Text
In 2015
13
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
Found on Publication Text
12
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
Found on Publication Text
11
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
Found on Publication Text
10
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
Found on Publication Text
In 2013
9
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
Found on Publication Text
8
B. Ghoraani, "Selected Topics on Time-Frequency Matrix Decomposition Analysis", Journal of Pattern Recognition and Intelligent Systems, 1(3), Pages: 64-78, 2013.
Found on Publication Text
7
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
Found on Publication Text
In 2012
6
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
Found on Publication Text
5
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
Found on Publication Text
In 2011
4
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
Found on Publication Text
3
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.
Found on Publication Text
In 2010
2
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
Found on Publication Text
In 2009
1
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
Found on Publication Text
