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Niamh McCallan
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2020 – today
- 2023
- [j2]Niamh McCallan
, Scot Davidson
Epileptic multi-seizure type classification using electroencephalogram signals from the Temple University Hospital Seizure Corpus: A review. Expert Syst. Appl. 234: 121040 (2023) - [j1]Omar Escalona
Robust Arm Impedocardiography Signal Quality Enhancement Using Recursive Signal Averaging and Multi-Stage Wavelet Denoising Methods for Long-Term Cardiac Contractility Monitoring Armbands. Sensors 23(13): 5892 (2023) - [c5]Niamh McCallan, Scot Davidson, Kok Yew Ng
Rebalancing Techniques for Asynchronously Distributed EEG Data to Improve Automatic Seizure Type Classification. CISS 2023: 1-6 - 2022
- [c4]Omar J. Escalona, Sophie Magwood, Anna Hilton, Niamh McCallan:
Feasibility of Wearable Armband Bipolar ECG Lead-1 for Long-term HRV Monitoring by Combined Signal Averaging and 2-stage Wavelet Denoising. CinC 2022: 1-4 - 2021
- [c3]Niamh McCallan, Scot Davidson, Kok Yew Ng, Pardis Biglarbeigi, Dewar D. Finlay, Boon Leong Lan, James McLaughlin:
Seizure Classification of EEG based on Wavelet Signal Denoising Using a Novel Channel Selection Algorithm. APSIPA ASC 2021: 1269-1276 - [i1]Scot Davidson, Niamh McCallan, Kok Yew Ng, Pardis Biglarbeigi, Dewar D. Finlay, Boon Leong Lan, James McLaughlin:
Seizure Classification Using Parallel Genetic Naive Bayes Classifiers. CoRR abs/2110.01742 (2021)
2010 – 2019
- 2019
- [c2]Pardis Biglarbeigi
Early Prediction of Sepsis Considering Early Warning Scoring Systems. CinC 2019: 1-4 - [c1]Niamh McCallan, Dewar D. Finlay, Pardis Biglarbeigi
Wearable Technology: Signal Recovery of Electrocardiogram From Short Spaced Leads in the Far-Field Using Discrete Wavelet Transform Based Techniques. CinC 2019: 1-4
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