Philip de Chazal

According to our database, Philip de Chazal authored at least 78 papers between 2000 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Comparison of oximetry event desaturation transient area-based methods in predicting cardiovascular disease mortality outcomes.

Siying He, Peter A. Cistulli, Philip de Chazal

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

2023

STREAMLINE: An Automated Machine Learning Pipeline for Biomedicine Applied to Examine the Utility of Photography-Based Phenotypes for OSA Prediction Across International Sleep Centers.

Ryan J. Urbanowicz, Harsh Bandhey, Brendan T. Keenan, Greg Maislin, Sy Hwang, Danielle L. Mowery, Shannon M. Lynch, Diego R. Mazzotti, Fang Han, Qing Yun Li, Thomas Penzel, Sergio Tufik, Lia Bittencourt, Thorarinn Gislason, Philip de Chazal, Bhajan Singh, Nigel McArdle, Ning-Hung Chen, Allan Pack, Richard J. Schwab, Peter A. Cistulli, Ulysses J. Magalang

CoRR, 2023

A comparison of hypoxic burden algorithms using three different methods for calculating baseline oxygen saturation for predicting cardiovascular death in the Sleep Heart Health Study.

Siying He, Kristina Cook, Kate Sutherland, Yu Sun Bin, Peter A. Cistulli, Philip de Chazal

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

A comparison of cardiovascular disease associations of time-domain oximetry parameters in sleep apnoea cases from the Sleep Heart Health Study.

Philip de Chazal, Kate Sutherland, Kristina Cook, Yu Sun Bin, Siying He, Peter A. Cistulli

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2021

Automatic Classification of OSA related Snoring Signals from Nocturnal Audio Recordings.

Arun Sebastian, Peter A. Cistulli, Gary Cohen, Philip de Chazal

CoRR, 2021

Unsupervised Approach for the Identification of the Predominant Site of Upper Airway Collapse in Obstructive Sleep Apnoea Patients Using Snore Signals.

Arun Sebastian, Peter A. Cistulli, Gary Cohen, Philip de Chazal

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

A Method for Identifying Ground Truth Labels in Regression Problems using Annotator Precision.

Benjamin Johnston, Philip de Chazal

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Predicting Cardiovascular Outcomes Using the Respiratory Event Desaturation Transient Area Derived from Overnight Sleep Studies.

Philip de Chazal, Nadi Sadr, Hasthi Dissanayake, Kristina Cook, Kate Sutherland, Yu Sun Bin, Peter A. Cistulli

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020

Characterisation of Upper Airway Collapse in OSA Patients Using Snore Signals: A Cluster Analysis Approach.

Arun Sebastian, Peter A. Cistulli, Gary Cohen, Philip de Chazal

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Identifying the Predominant Site of Upper Airway Collapse in Obstructive Sleep Apnoea Patients Using Snore Signals.

Arun Sebastian, Peter A. Cistulli, Gary Cohen, Philip de Chazal

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Is Cumulative Time of Oxygen Desaturation a Better Predictor of Cardiovascular Mortality than Apnoea Hypopnoea Index?

Nadi Sadr, Yu Sun Bin, Kate Sutherland, Kristina Cook, Hasthi Dissanayake, Peter A. Cistulli, Philip de Chazal

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Automatic Nasal PAP Mask Sizing with a Deep Unet.

Benjamin Johnston, Philip de Chazal

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Automated Annotation of Polysomnogram Epochs for Apnoea and Non-apnoea Arousals.

Philip de Chazal, Nadi Sadr

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Prediction of Apnoea and Non-apnoea Arousals From the Polysomnogram Using a Neural Network Classifier.

Philip de Chazal, John Anda Du, Nadi Sadr

Proceedings of the Computing in Cardiology, 2020

2019

A Preliminary Study of the Automatic Classification of the Site of Airway Collapse in OSA patients Using Snoring Signals.

Arun Sebastian, Peter A. Cistulli, Gary Cohen, Philip de Chazal

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

Comparing Different Methods of Hand-crafted HRV, EDR and CPC Features for Sleep Apnoea Detection.

Nadi Sadr, Philip de Chazal

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

Non-invasive Diagnosis of Sleep Apnoea Using ECG and Respiratory Bands.

Nadi Sadr, Philip de Chazal

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

The Effect of Landmark Variability on Automated PAP Mask Sizing.

Benjamin Johnston, Philip de Chazal

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

Automatic PAP Mask Sizing with an Error Correcting Autoencoder.

Benjamin Johnston, Philip de Chazal

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

An Investigation of the Relationship between the Apnoea Hypopnoea Index and Apnoea Hypopnoea Duration per Hour.

Philip de Chazal, Nadi Sadr

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

Automated Prediction of Sepsis Onset Using Gradient Boosted Decision Trees.

John Anda Du, Nadi Sadr, Philip de Chazal

Proceedings of the 46th Computing in Cardiology, 2019

2018

A review of image-based automatic facial landmark identification techniques.

Benjamin Johnston, Philip de Chazal

EURASIP J. Image Video Process., 2018

Automated Cerebral Emboli Detection Using Adaptive Threshold and Adaptive Neuro-Fuzzy Inference System.

Praotasna Sombune, Phongphan Phienphanich, Sutanya Phuechpanpaisal, Sombat Muengtaweepongsa, Anuchit Ruamthanthong, Philip de Chazal, Charturong Tantibundhit

IEEE Access, 2018

A Fast Principal Component Analysis Method For Calculating The ECG Derived Respiration.

Nadi Sadr, Philip de Chazal

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

A Fully Automated System for Sizing Nasal PAP Masks Using Facial Photographs.

Benjamin Johnston, Philip de Chazal

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Prediction of MAS Therapy Response in Obstructive Sleep Apnoea Patients using Clinical Data.

Madhuka Jayawardhana, Kate Sutherland, Peter A. Cistulli, Philip de Chazal

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Optimising the Apnoea Classification Performance of a Neural Network Classifier Processing ECG-Oximetry Signals.

Philip de Chazal, Madhuka Jayawardhana, Nadi Sadr

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Automatic Scoring of Non-Apnoea Arousals Using the Polysomnogram.

Nadi Sadr, Philip de Chazal

Proceedings of the Computing in Cardiology, 2018

2017

Automatic detection of obstructive sleep apnea using facial images.

Asghar Tabatabaei Balaei, Kate Sutherland, Peter A. Cistulli, Philip de Chazal

Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Regularized training of the extreme learning machine using the conjugate gradient method.

Philip de Chazal, Mark D. McDonnell

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Sleep apnoea diagnosis using respiratory effort-based signals - a comparative study.

Nadi Sadr, Madhuka Jayawardhana, Philip de Chazal

Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

Semi-automated nasal PAP mask sizing using facial photographs.

Benjamin Johnston, Alistair Lee McEwan, Philip de Chazal

Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

Enhanced detection of sleep apnoea using heart-rate, respiration effort and oxygen saturation derived from a photoplethysmography sensor.

Madhuka Jayawardhana, Philip de Chazal

Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

Screening patients for risk of sleep apnea using facial photographs.

Philip de Chazal, Asghar Tabatabaei Balaei, Hadis Nosrati

Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

Automatic detection of periodontitis using intra-oral images.

Asghar Tabatabaei Balaei, Philip de Chazal, Jörg Eberhard, Henrik Domnisch, Axel Spahr, Kate Ruiz

Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

2016

On the importance of pair-wise feature correlations for image classification.

Mark D. McDonnell, Robby G. McKilliam, Philip de Chazal

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Efficient computation of the Levenberg-Marquardt algorithm for feedforward networks with linear outputs.

Philip de Chazal, Mark D. McDonnell

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

A fast approximation method for principal component analysis applied to ECG derived respiration for OSA detection.

Nadi Sadr, Philip de Chazal

Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

Sleep apnoea classification using heart rate variability, ECG derived respiration and cardiopulmonary coupling parameters.

Philip de Chazal, Nadi Sadr

Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

Comparing ECG Derived Respiratory Signals and Chest Respiratory Signal for the Detection of Obstructive Sleep Apnoea.

Nadi Sadr, Philip de Chazal

Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016

Apnoea-Hypopnoea Index Estimation using Craniofacial Photographic Measurements.

Hadis Nosrati, Nadi Sadr, Philip de Chazal

Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016

2015

Turn Down That Noise: Synaptic Encoding of Afferent SNR in a Single Spiking Neuron.

Saeed Afshar, Libin George, Chetan Singh Thakur, Jonathan Tapson, André van Schaik, Philip de Chazal, Tara Julia Hamilton

IEEE Trans. Biomed. Circuits Syst., 2015

Automated detection of sleep apnea in infants: A multi-modal approach.

Gregory Cohen, Philip de Chazal

Comput. Biol. Medicine, 2015

A comparison of extreme learning machines and back-propagation trained feed-forward networks processing the mnist database.

Philip de Chazal, Jonathan Tapson, André van Schaik

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Sleep apnoea episodes recognition by a committee of ELM classifiers from ECG signal.

Nadi Sadr, Philip de Chazal, André van Schaik, Paul Breen

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

An ECG oximetry system for identifying obstructive and central apnoea events.

Philip de Chazal, Nadi Sadr, Madhuka Jayawardhana

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Reducing False Arrhythmia Alarms in the ICU by Hilbert QRS Detection.

Nadi Sadr, Jacqueline Huvanandana, Doan Trang Nguyen, Chandan Kalra, Alistair Lee McEwan, Philip de Chazal

Proceedings of the Computing in Cardiology, 2015

A comparison of Obstructive Sleep Apnoea Detection using Three Different ECG Derived Respiration Algorithms.

Nadi Sadr, Philip de Chazal

Proceedings of the Computing in Cardiology, 2015

2014

Explicit Computation of Input Weights in Extreme Learning Machines.

Jonathan Tapson, Philip de Chazal, André van Schaik

CoRR, 2014

Learning ELM network weights using linear discriminant analysis.

Philip de Chazal, Jonathan Tapson, André van Schaik

CoRR, 2014

Turn Down that Noise: Synaptic Encoding of Afferent SNR in a Single Spiking Neuron.

Saeed Afshar, Libin George, Jonathan Tapson, André van Schaik, Philip de Chazal, Tara Julia Hamilton

CoRR, 2014

An adapting system for heartbeat classification minimising user input.

Philip de Chazal

Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

Automated Detection of Obstructive Sleep Apnoea by Single-lead ECG through ELM Classification.

Nadi Sadr, Philip de Chazal

Proceedings of the Computing in Cardiology, CinC 2014, 2014

A Multi-modal Approach to Sleep-Wake Classification in Infants using Minimally Invasive Sensors.

Gregory Cohen, Philip de Chazal

Proceedings of the Computing in Cardiology, CinC 2014, 2014

Heartbeat Classification System using Adaptive Learning form Selected Beats.

Philip de Chazal

Proceedings of the Computing in Cardiology, CinC 2014, 2014

2013

Automated detection of sleep apnea in infants using minimally invasive sensors.

Gregory Cohen, Philip de Chazal

Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

Detection of supraventricular and ventricular ectopic beats using a single lead ECG.

Philip de Chazal

Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

Detection of Sleep Apnoea in Infants using ECG and Oximetry Signals.

Gregory Cohen, Philip de Chazal

Proceedings of the Computing in Cardiology, 2013

A Switching Feature Extraction System for ECG Heartbeat Classification.

Philip de Chazal

Proceedings of the Computing in Cardiology, 2013

2007

Electrocardiogram Based Neonatal Seizure Detection.

Barry R. Greene, Philip de Chazal, Geraldine B. Boylan, Sean Connolly, Richard B. Reilly

IEEE Trans. Biomed. Eng., 2007

2006

Telephony-based voice pathology assessment using automated speech analysis.

Richard J. Moran, Richard B. Reilly, Philip de Chazal, Peter D. Lacy

IEEE Trans. Biomed. Eng., 2006

A Patient-Adapting Heartbeat Classifier Using ECG Morphology and Heartbeat Interval Features.

Philip de Chazal, Richard B. Reilly

IEEE Trans. Biomed. Eng., 2006

Heart and respiration rate changes in the neonate during electroencephalographic seizure.

Barry R. Greene, Philip de Chazal, Geraldine B. Boylan, Richard B. Reilly, Ciara O'Brien, Sean Connolly

Medical Biol. Eng. Comput., 2006

Multi-channel EEG based Neonatal Seizure Detection.

Barry R. Greene, Richard B. Reilly, Geraldine B. Boylan, Philip de Chazal, Sean Connolly

Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006

2005

Automated Processing of Shoeprint Images Based on the Fourier Transform for Use in Forensic Science.

Philip de Chazal, John Flynn, Richard B. Reilly

IEEE Trans. Pattern Anal. Mach. Intell., 2005

2004

Automatic classification of heartbeats using ECG morphology and heartbeat interval features.

Philip de Chazal, Maria O'Dwyer, Richard B. Reilly

IEEE Trans. Biomed. Eng., 2004

Registration of digital retinal images using landmark correspondence by expectation maximization.

Neil Ryan, Conor Heneghan, Philip de Chazal

Image Vis. Comput., 2004

2003

Automated processing of the single-lead electrocardiogram for the detection of obstructive sleep apnoea.

Philip de Chazal, Conor Heneghan, Elaine Sheridan, Richard B. Reilly, Philip Nolan, Mark J. O'Malley

IEEE Trans. Biomed. Eng., 2003

Person identification using automatic integration of speech, lip, and face experts.

Niall A. Fox, Ralph Gross, Philip de Chazal, Jeffrey F. Cohn, Richard B. Reilly

Proceedings of the 2003 ACM SIGMM Workshop on Biometrics Methods and Applications, 2003

Identification of voice pathology using automated speech analysis.

C. Maguire, Philip de Chazal, Richard B. Reilly, Peter D. Lacy

Proceedings of the Third International Workshop on Models and Analysis of Vocal Emissions for Biomedical Applications, 2003

Automatic classification of shoeprints for use in forensic science based on the Fourier transform.

Christophe Huynh, Philip de Chazal, Donal McErlean, Richard B. Reilly, Tom J. Hannigan, Liam M. Fleury

Proceedings of the 2003 International Conference on Image Processing, 2003

Automatic classification of ECG beats using waveform shape and heart beat interval features.

Philip de Chazal, Richard B. Reilly

Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

Visual feature analysis for automatic speechreading.

Patricia Scanlon, Richard B. Reilly, Philip de Chazal

Proceedings of the AVSP 2003, 2003

2002

Retinal image registration using control points.

Conor Heneghan, P. Maguire, Neil Ryan, Philip de Chazal

Proceedings of the 2002 IEEE International Symposium on Biomedical Imaging, 2002

Automatic Sleep Apnoea Detection Using Measures of Amplitude and Heart Rate Variability from the Electrocardiogram.

Philip de Chazal, Richard B. Reilly, Conor Heneghan

Proceedings of the 16th International Conference on Pattern Recognition, 2002

Parametric models and spectral analysis for classification in brain-computer interfaces.

Sinead Kelly, D. Burke, Philip de Chazal, Richard Reilly

Proceedings of the 14th International Conference on Digital Signal Processing, 2002

2000

A Comparison of the Use of Different Wavelet Coefficients for the Classification of the Electrocardiogram.

Philip de Chazal, Richard B. Reilly

Proceedings of the 15th International Conference on Pattern Recognition, 2000

Classification of the electrocardiogram using selected wavelet coefficients and linear discriminants.

Philip de Chazal, Richard B. Reilly, Gary McDarby, Branko G. Celler

Proceedings of the IEEE International Conference on Acoustics, 2000