Niamh McCallan

According to our database, Niamh McCallan authored at least 8 papers between 2019 and 2023.

Collaborative distances:

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

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

Robust Arm Impedocardiography Signal Quality Enhancement Using Recursive Signal Averaging and Multi-Stage Wavelet Denoising Methods for Long-Term Cardiac Contractility Monitoring Armbands.

Omar Escalona, Nicole Cullen, Idongesit Weli, Niamh McCallan, Kok Yew Ng, Dewar D. Finlay

Sensors, July, 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

Feasibility of Wearable Armband Bipolar ECG Lead-1 for Long-term HRV Monitoring by Combined Signal Averaging and 2-stage Wavelet Denoising.

Omar J. Escalona, Sophie Magwood, Anna Hilton, Niamh McCallan

Proceedings of the Computing in Cardiology, 2022

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

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

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