Pardis Biglarbeigi

According to our database, Pardis Biglarbeigi authored at least 13 papers between 2019 and 2025.

Collaborative distances:

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

2025

Time-frequency ridge characterisation of sleep stage transitions: Towards improving electroencephalogram annotations using an advanced visualisation technique.

Christopher McCausland, Pardis Biglarbeigi, Raymond R. Bond, Golnaz Yadollahikhales, Alan Kennedy, Anna Sigridur Islind, Erna Sif Arnardóttir, Dewar D. Finlay

Expert Syst. Appl., 2025

2023

Epileptic multi-seizure type classification using electroencephalogram signals from the Temple University Hospital Seizure Corpus: A review.

Niamh McCallan, Scot Davidson, Kok Yew Ng, Pardis Biglarbeigi, Dewar D. Finlay, Boon Leong Lan, James McLaughlin

Expert Syst. Appl., December, 2023

Data-driven versus a domain-led approach to k-means clustering on an open heart failure dataset.

Alicja Jasinska-Piadlo, Raymond R. Bond, Pardis Biglarbeigi, Rob Brisk, Patricia Campbell, Fiona Browne, David McEneaneny

Int. J. Data Sci. Anal., January, 2023

Rebalancing Techniques for Asynchronously Distributed EEG Data to Improve Automatic Seizure Type Classification.

Niamh McCallan, Scot Davidson, Kok Yew Ng, Pardis Biglarbeigi, Dewar D. Finlay, Boon Leong Lan, James McLaughlin

Proceedings of the 57th Annual Conference on Information Sciences and Systems, 2023

2022

What can machines learn about heart failure? A systematic literature review.

Alicja Jasinska-Piadlo, Raymond R. Bond, Pardis Biglarbeigi, Rob Brisk, Patricia Campbell, David J. McEneaney

Int. J. Data Sci. Anal., 2022

2021

COVID-19 modelling by time-varying transmission rate associated with mobility trend of driving via Apple Maps.

Min Jing, Kok Yew Ng, Brian Mac Namee, Pardis Biglarbeigi, Rob Brisk, Raymond R. Bond, Dewar D. Finlay, James McLaughlin

J. Biomed. Informatics, 2021

Seizure Classification Using Parallel Genetic Naive Bayes Classifiers.

Scot Davidson, Niamh McCallan, Kok Yew Ng, Pardis Biglarbeigi, Dewar D. Finlay, Boon Leong Lan, James McLaughlin

CoRR, 2021

Domain Led Time Series Analysis Of Cardiovascular Disease Using Open Data - Does Reduction in Coronary Disease Increase Heart Failure Prevalence?

Alicja Jasinska-Piadlo, Raymond R. Bond, Pardis Biglarbeigi, Patricia Campbell, David J. McEneaney

Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

Seizure Classification of EEG based on Wavelet Signal Denoising Using a Novel Channel Selection Algorithm.

Niamh McCallan, Scot Davidson, Kok Yew Ng, Pardis Biglarbeigi, Dewar D. Finlay, Boon Leong Lan, James McLaughlin

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2021

2020

Coefficients for the Derivation of Posterior and Right Sided Chest Leads From the 12-lead Electrocardiogram.

Michael R. Jennings, Ali S. Rababah, Pardis Biglarbeigi, Rob Brisk, Daniel Güldenring, Raymond R. Bond, James McLaughlin, Dewar D. Finlay

Proceedings of the Computing in Cardiology, 2020

Machine Learning Approach to Assess the Performance of Patch Based Leads in the Detection of Ischaemic Electrocardiogram Changes.

Michael R. Jennings, Pardis Biglarbeigi, Raymond R. Bond, Rob Brisk, Daniel Güldenring, Alan Kennedy, James McLaughlin, Dewar D. Finlay

Proceedings of the Computing in Cardiology, 2020

2019

Wearable Technology: Signal Recovery of Electrocardiogram From Short Spaced Leads in the Far-Field Using Discrete Wavelet Transform Based Techniques.

Niamh McCallan, Dewar D. Finlay, Pardis Biglarbeigi, Gilberto Perpiñan, Michael R. Jennings, Kok Yew Ng, James McLaughlin, Omar Escalona

Proceedings of the 46th Computing in Cardiology, 2019

Early Prediction of Sepsis Considering Early Warning Scoring Systems.

Pardis Biglarbeigi, Donal McLaughlin, Khaled Rjoob, Abdullah Abdullah, Niamh McCallan, Alicja Jasinska-Piadlo, Raymond R. Bond, Dewar D. Finlay, Mark Kok Yew Ng, Alan Kennedy, James McLaughlin

Proceedings of the 46th Computing in Cardiology, 2019