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Jamal Esmaelpoor
Jamal Esmaelpoor
Other namesJamal Esmailpoor
Melbourne University- Bionics Institute
Verified email at bionicsinstitute.org
Title
Cited by
Cited by
Year
A multistage deep neural network model for blood pressure estimation using photoplethysmogram signals
J Esmaelpoor, MH Moradi, A Kadkhodamohammadi
Computers in Biology and Medicine, 2020
982020
Identification of ferroresonance based on wavelet transform and artificial neural network
G Mokryani, MR Haghifam, J Esmaeilpoor
European transactions on electrical power 19 (3), 474-486, 2009
322009
Cuffless blood pressure estimation methods: Physiological model parameters versus machine-learned features
J Esmaelpoor, MH Moradi, A Kadkhodamohammadi
Physiological Measurement 42 (3), 035006, 2021
192021
A novel technique for ferroresonance identification in distribution networks
G Mokryani, M Haghifam, J Esmailpoor
International Journal of Electrical, Computer and System Engineering 1, 103-108, 2007
92007
Classification of Cardiac Arrhythmias by Learning Vector Quantizator Network and Based on the Extracted Features from the Wavelet Transformation
J Esmaelpoor, S Mirzakuchaki, J Saefaliharsini, AR Kadkhodamohamadi
Iranian Journal of Biomedical Engineering 1, 17, 2007
62007
A clinical set-up for noninvasive blood pressure monitoring using two photoplethysmograms and based on convolutional neural networks
J Esmaelpoor, ZM Sanat, MH Moradi
Biomedical Engineering/Biomedizinische Technik 66 (4), 375-385, 2021
32021
Blood pressure monitoring using photoplethysmogram and electrocardiogram signals
J Esmaelpoor, ZM Sanat, MH Moradi
Biomedical Signal Processing for Healthcare Applications, 123-141, 2021
32021
Performance evaluation of a routing algorithm based on Hopfield Neural Network for network-on-chip
J Esmaelpoor, A Ghafouri
International Journal of Electronics 102 (12), 1963-1977, 2015
22015
A novel detection and classification of ferroresonance using wavelet transform and LVQ neural network in distribution networks
G Mokryani, MR Haghifam, J Esmaeilpoor
12007
Resting-state Functional Connectivity Predicts Cochlear-Implant Speech Outcomes
J Esmaelpoor, T Peng, B Jelfs, D Mao, M Shader, C McKay
medRxiv, 2024.01. 30.24301908, 2024
2024
A Parametric Model for Characterizing Time-Variant Single Trials of Block-Design fNIRS Experiments
T Peng, J Esmaelpoor, D Mao, OW Lee, M Haneman, G Balasubramanian, ...
2023 45th Annual International Conference of the IEEE Engineering in …, 2023
2023
Brain Functional Connectivity Networks do not Return to Resting-state During Control Trials in Block Design Experiments*
J Esmaelpoor, T Peng, B Jelfs, MJ Shader, CM McKay, D Mao
2023 45th Annual International Conference of the IEEE Engineering in …, 2023
2023
Deep learning for cuffless blood pressure monitoring
J Esmaelpoor, ZM Sanat, MH Moradi
High Performance Computing for Intelligent Medical Systems, 2021
2021
The Study of Lugeon Test Behavior in Low Permeable Rocks and its Performance in Grouting Programs
A Hafezquran, J Esmaelpoor
ISRM International Symposium-Asian Rock Mechanics Symposium, ISRM-ARMS7-2012-098, 2012
2012
طبقه بندی اختلالات قلبی با استفاده از شبکه کوانتیزه کننده برداری و بر اساس ویژگی های استخراج شده از تبدیل ویولت
اسماعیل پور, جمال, میرزاکوچکی, ستار, سیف علی هرسینی, کدخدا محمدی
نشریهی علمی مهندسی پزشکی زیستی 1 (3), 167-176, 2007
2007
Classification of Cardiac Arrhythmias Using WAVELET Transform and Fast ART2
HZ Jamal Esmaelpoor, Jalil S. Harsini, Sattar M. kuchaki
13th Iranian Conference of Electrical Engineering (ICEE), 2005
2005
A Comparison Between Competitive and LVQ Neural Networks for Ferroresonance Detection
International Conference on Power Systems, 0
A NOVEL DETECTION AND CLASSIFICATION OF FERRORESONANCE USING WAVELET TRANSFORM AND LVQ NEURAL NETWORK IN DISTRIBUTION NETWORKS
GMMRHJ Esmaeilpoor
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Articles 1–18