Matin Beiramvand

According to our database, Matin Beiramvand authored at least 12 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Assessment of Mental Workload Using a Transformer Network and Two Prefrontal EEG Channels: An Unparameterized Approach.

Matin Beiramvand, Mohammad Shahbakhti, Nina Karttunen, Reijo Koivula, Jari Juhani Turunen, Tarmo Lipping

IEEE Trans. Instrum. Meas., 2024

Assessment of Mental Workload in Real-Life Setup using EEG Synchronization Measures.

Tarmo Lipping, Matin Beiramvand

Proceedings of the IEEE International Workshop on Metrology for Industry 4.0 and IoT, 2024

Utilizing Slope Entropy as an Effective Index for Wearable EEG-Based Depth of Anesthesia Monitoring.

Mohammad Shahbakhti, Matin Beiramvand, Somayeh Mohammadi Far, Jordi Solé-Casals, Tarmo Lipping, Piotr Augustyniak

Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024

Combination of Empirical Mode Decomposition and Hjorth Parameters for Prediction of Preterm Labor using Electrohysterogram Signals.

Somayeh Mohammadi Far, Matin Beiramvand, Mohammad Shahbakhti, Piotr Augustyniak

Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024

2023

Prediction of Preterm Labor from the Electrohysterogram Signals Based on Different Gestational Weeks.

Somayeh Mohammadi Far, Matin Beiramvand, Mohammad Shahbakhti, Piotr Augustyniak

Sensors, July, 2023

A Reliable Method to Estimate the Bispectral Index Value Using a Single Frontal EEG Channel for Intra and Inter Subject Variability.

Mohammad Shahbakhti, Matin Beiramvand, Roza Krycinska, Erfan Nasiri, Wei Chen, Jordi Solé-Casals, Michal Wierzchon, Anna Broniec-Wójcik, Piotr Augustyniak, Vaidotas Marozas

Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2023

Mental Workload Assessment using Low-Channel Prefrontal EEG Signals.

Matin Beiramvand, Tarmo Lipping, Nina Karttunen, Reijo Koivula

Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2023

2022

Simultaneous Eye Blink Characterization and Elimination From Low-Channel Prefrontal EEG Signals Enhances Driver Drowsiness Detection.

Mohammad Shahbakhti, Matin Beiramvand, Izabela Rejer, Piotr Augustyniak, Anna Broniec-Wójcik, Michal Wierzchon, Vaidotas Marozas

IEEE J. Biomed. Health Informatics, 2022

Prediction of Preterm Delivery from Unbalanced EHG Database.

Somayeh Mohammadi Far, Matin Beiramvand, Mohammad Shahbakhti, Piotr Augustyniak

Sensors, 2022

2021

SWT-kurtosis based algorithm for elimination of electrical shift and linear trend from EEG signals.

Mohammad Shahbakhti, Ana Santos Rodrigues, Piotr Augustyniak, Anna Broniec-Wójcik, Andrius Solosenko, Matin Beiramvand, Vaidotas Marozas

Biomed. Signal Process. Control., 2021

2019

A New Efficient Algorithm for Prediction of Preterm Labor.

Mohammad Shahbakhti, Matin Beiramvand, Mohammad Reza Bavi, Somayeh Mohammadi Far

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2017

Investigating Wavelet Energy Vector for pre-term labor detection using EHG signals.

Matin Beiranvand, Mohammad Shahbakhti, Mehdi Eslamizadeh, Mohammad Reza Bavi, Somayeh Mohammadi Far

Proceedings of the Signal Processing: Algorithms, 2017