Sajjad Karimi

Sajjad Karimi

Postdoctoral Fellow in Biomedical Informatics at Emory University | Expert in Statistical Signal Processing, Machine Learning, and Biomedical Signal Analysis

Publications

You can also find my articles on my Google Scholar profile.

Journal Articles

Electromechanical Dynamics of the Heart: A Study of Cardiac Events Hysteresis During Stress Test

Published in arXiv preprint (Under Review at IEEE Journal of Biomedical and Health Informatics), 2024

This paper investigates the electromechanical dynamics of the heart during stress testing, focusing on cardiac event hysteresis phenomena.

Recommended citation: Karimi, S., Karimi, Sh., Shah, A. J, Clifford, G. D & Sameni, R. (2024). "Electromechanical Dynamics of the Heart: A Study of Cardiac Events Hysteresis During Stress Test." arXiv preprint arXiv:2410.19667, Under Review at IEEE Journal of Biomedical and Health Informatics.
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Tractable maximum likelihood estimation for latent structure influence models with applications to eeg & ecog processing

Published in IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023

This paper presents a tractable maximum likelihood estimation method for Latent Structure Influence Models (LSIMs) with applications to EEG and ECoG processing.

Recommended citation: Karimi, S., & Shamsollahi, M. B. (2023). "Tractable maximum likelihood estimation for latent structure influence models with applications to eeg & ecog processing." IEEE Transactions on Pattern Analysis and Machine Intelligence.
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A New Post-Processing Method Using Latent Structure Influence Models for Channel Fusion in Automatic Sleep Staging

Published in IEEE Journal of Biomedical and Health Informatics, 2022

This paper presents a novel post-processing method using LSIMs for channel fusion to improve automatic sleep staging performance.

Recommended citation: Karimi, S., & Shamsollahi, M. B. (2022). "A New Post-Processing Method Using Latent Structure Influence Models for Channel Fusion in Automatic Sleep Staging." IEEE Journal of Biomedical and Health Informatics.
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Tractable inference and observation likelihood evaluation in latent structure influence models

Published in IEEE Transactions on Signal Processing, 2020

This paper presents a tractable inference framework for Latent Structure Influence Models with efficient observation likelihood evaluation methods.

Recommended citation: Karimi, S., & Shamsollahi, M. B. (2020). "Tractable inference and observation likelihood evaluation in latent structure influence models." IEEE Transactions on Signal Processing, 68, 5736-5745.
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Conference Papers

Coupled Hidden Markov Models for Estimating Multivariate Transfer Entropy in Neural Mass Models: A Simulation Study

Published in 29th Iranian Conference on Biomedical Engineering (ICBME), 2022

This paper presents a simulation study on using Coupled Hidden Markov Models for estimating multivariate transfer entropy in neural mass models.

Recommended citation: Karimi, S., & Shamsollahi, M. B. (2022). "Coupled Hidden Markov Models for Estimating Multivariate Transfer Entropy in Neural Mass Models: A Simulation Study." In 29th Iranian Conference on Biomedical Engineering (ICBME).
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