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 001 (CinC, 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 001; Omar Escalona (CinC, 2019)

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 001 (APSIPA ASC, 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 001 (CoRR, 2021)

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 (CinC, 2022)

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 001 (CISS, 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, 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 001 (Expert Syst. Appl., 2023)