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ORCIDPhilip de Chazal
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2020 – today
- 2023
[c60]Philip de Chazal, Kate Sutherland, Kristina Cook, Yu Sun Bin, Siying He, Peter A. Cistulli:
A comparison of cardiovascular disease associations of time-domain oximetry parameters in sleep apnoea cases from the Sleep Heart Health Study. EMBC 2023: 1-4- [c59]Siying He, Kristina Cook, Kate Sutherland, Yu Sun Bin, Peter A. Cistulli, Philip de Chazal:
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. EMBC 2023: 1-4 - [i7]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:
STREAMLINE: An Automated Machine Learning Pipeline for Biomedicine Applied to Examine the Utility of Photography-Based Phenotypes for OSA Prediction Across International Sleep Centers. CoRR abs/2312.05461 (2023) - 2021
- [c58]Arun Sebastian, Peter A. Cistulli, Gary Cohen, Philip de Chazal:
Unsupervised Approach for the Identification of the Predominant Site of Upper Airway Collapse in Obstructive Sleep Apnoea Patients Using Snore Signals. EMBC 2021: 160-163 - [c57]Benjamin Johnston, Philip de Chazal:
A Method for Identifying Ground Truth Labels in Regression Problems using Annotator Precision. EMBC 2021: 3181-3184 - [c56]Philip de Chazal, Nadi Sadr, Hasthi Dissanayake, Kristina Cook, Kate Sutherland, Yu Sun Bin, Peter A. Cistulli:
Predicting Cardiovascular Outcomes Using the Respiratory Event Desaturation Transient Area Derived from Overnight Sleep Studies. EMBC 2021: 5496-5499 - [i6]Arun Sebastian, Peter A. Cistulli, Gary Cohen, Philip de Chazal:
Automatic Classification of OSA related Snoring Signals from Nocturnal Audio Recordings. CoRR abs/2102.12829 (2021) - 2020
- [c55]Philip de Chazal, John Anda Du, Nadi Sadr:
Prediction of Apnoea and Non-apnoea Arousals From the Polysomnogram Using a Neural Network Classifier. CinC 2020: 1-4 - [c54]Arun Sebastian, Peter A. Cistulli, Gary Cohen, Philip de Chazal:
Identifying the Predominant Site of Upper Airway Collapse in Obstructive Sleep Apnoea Patients Using Snore Signals. EMBC 2020: 2728-2731 - [c53]Nadi Sadr, Yu Sun Bin, Kate Sutherland, Kristina Cook, Hasthi Dissanayake, Peter A. Cistulli, Philip de Chazal:
Is Cumulative Time of Oxygen Desaturation a Better Predictor of Cardiovascular Mortality than Apnoea Hypopnoea Index? EMBC 2020: 2788-2791 - [c52]Philip de Chazal, Nadi Sadr:
Automated Annotation of Polysomnogram Epochs for Apnoea and Non-apnoea Arousals. EMBC 2020: 2796-2799 - [c51]Arun Sebastian, Peter A. Cistulli, Gary Cohen, Philip de Chazal:
Characterisation of Upper Airway Collapse in OSA Patients Using Snore Signals: A Cluster Analysis Approach. EMBC 2020: 5124-5127 - [c50]Benjamin Johnston, Philip de Chazal:
Automatic Nasal PAP Mask Sizing with a Deep Unet. EMBC 2020: 6115-6118
2010 – 2019
- 2019
- [c49]John Anda Du, Nadi Sadr, Philip de Chazal:
Automated Prediction of Sepsis Onset Using Gradient Boosted Decision Trees. CinC 2019: 1-4 - [c48]Arun Sebastian, Peter A. Cistulli, Gary Cohen, Philip de Chazal:
A Preliminary Study of the Automatic Classification of the Site of Airway Collapse in OSA patients Using Snoring Signals. EMBC 2019: 1592-1595 - [c47]Nadi Sadr, Philip de Chazal:
Non-invasive Diagnosis of Sleep Apnoea Using ECG and Respiratory Bands. EMBC 2019: 1609-1612 - [c46]Benjamin Johnston, Philip de Chazal:
Automatic PAP Mask Sizing with an Error Correcting Autoencoder. EMBC 2019: 3677-3680 - [c45]Nadi Sadr, Philip de Chazal:
Comparing Different Methods of Hand-crafted HRV, EDR and CPC Features for Sleep Apnoea Detection. EMBC 2019: 3870-3873 - [c44]Benjamin Johnston, Philip de Chazal:
The Effect of Landmark Variability on Automated PAP Mask Sizing. EMBC 2019: 4129-4132 - [c43]Philip de Chazal, Nadi Sadr:
An Investigation of the Relationship between the Apnoea Hypopnoea Index and Apnoea Hypopnoea Duration per Hour. EMBC 2019: 5708-5711 - 2018
- [j12]Praotasna Sombune, Phongphan Phienphanich, Sutanya Phuechpanpaisal, Sombat Muengtaweepongsa, Anuchit Ruamthanthong, Philip de Chazal, Charturong Tantibundhit:
Automated Cerebral Emboli Detection Using Adaptive Threshold and Adaptive Neuro-Fuzzy Inference System. IEEE Access 6: 55361-55371 (2018) - [j11]Benjamin Johnston, Philip de Chazal:
A review of image-based automatic facial landmark identification techniques. EURASIP J. Image Video Process. 2018: 86 (2018) - [c42]Nadi Sadr, Philip de Chazal:
Automatic Scoring of Non-Apnoea Arousals Using the Polysomnogram. CinC 2018: 1-4 - [c41]Benjamin Johnston, Philip de Chazal:
A Fully Automated System for Sizing Nasal PAP Masks Using Facial Photographs. EMBC 2018: 3979-3982 - [c40]Nadi Sadr, Philip de Chazal:
A Fast Principal Component Analysis Method For Calculating The ECG Derived Respiration. EMBC 2018: 5294-5297 - [c39]Philip de Chazal, Madhuka Jayawardhana, Nadi Sadr:
Optimising the Apnoea Classification Performance of a Neural Network Classifier Processing ECG-Oximetry Signals. EMBC 2018: 6026-6029 - [c38]Madhuka Jayawardhana, Kate Sutherland, Peter A. Cistulli, Philip de Chazal:
Prediction of MAS Therapy Response in Obstructive Sleep Apnoea Patients using Clinical Data. EMBC 2018: 6040-6043 - [i5]Benjamin Johnston, Philip de Chazal:
A Fully Automated System for Sizing Nasal PAP Masks Using Facial Photographs. CoRR abs/1811.03773 (2018) - 2017
- [c37]Madhuka Jayawardhana, Philip de Chazal:
Enhanced detection of sleep apnoea using heart-rate, respiration effort and oxygen saturation derived from a photoplethysmography sensor. EMBC 2017: 121-124 - [c36]Benjamin Johnston, Alistair Lee McEwan, Philip de Chazal:
Semi-automated nasal PAP mask sizing using facial photographs. EMBC 2017: 1214-1217 - [c35]Nadi Sadr, Madhuka Jayawardhana, Philip de Chazal:
Sleep apnoea diagnosis using respiratory effort-based signals - a comparative study. EMBC 2017: 1551-1554 - [c34]Philip de Chazal, Asghar Tabatabaei Balaei, Hadis Nosrati:
Screening patients for risk of sleep apnea using facial photographs. EMBC 2017: 2006-2009 - [c33]Asghar Tabatabaei Balaei, Philip de Chazal, Jörg Eberhard, Henrik Domnisch, Axel Spahr, Kate Ruiz:
Automatic detection of periodontitis using intra-oral images. EMBC 2017: 3906-3909 - [c32]Philip de Chazal, Mark D. McDonnell:
Regularized training of the extreme learning machine using the conjugate gradient method. IJCNN 2017: 1802-1808 - [c31]Asghar Tabatabaei Balaei, Kate Sutherland, Peter A. Cistulli, Philip de Chazal:
Automatic detection of obstructive sleep apnea using facial images. ISBI 2017: 215-218 - [i4]Benjamin Johnston, Alistair Lee McEwan, Philip de Chazal:
Semi-Automated Nasal PAP Mask Sizing using Facial Photographs. CoRR abs/1709.07166 (2017) - 2016
- [c30]Hadis Nosrati, Nadi Sadr, Philip de Chazal:
Apnoea-Hypopnoea Index Estimation using Craniofacial Photographic Measurements. CinC 2016 - [c29]Nadi Sadr, Philip de Chazal:
Comparing ECG Derived Respiratory Signals and Chest Respiratory Signal for the Detection of Obstructive Sleep Apnoea. CinC 2016 - [c28]Philip de Chazal, Nadi Sadr:
Sleep apnoea classification using heart rate variability, ECG derived respiration and cardiopulmonary coupling parameters. EMBC 2016: 3203-3206 - [c27]Nadi Sadr, Philip de Chazal:
A fast approximation method for principal component analysis applied to ECG derived respiration for OSA detection. EMBC 2016: 6198-6201 - [c26]Philip de Chazal, Mark D. McDonnell:
Efficient computation of the Levenberg-Marquardt algorithm for feedforward networks with linear outputs. IJCNN 2016: 68-75 - [c25]Mark D. McDonnell, Robby G. McKilliam, Philip de Chazal:
On the importance of pair-wise feature correlations for image classification. IJCNN 2016: 2290-2297 - 2015
- [j10]Gregory Cohen, Philip de Chazal:
Automated detection of sleep apnea in infants: A multi-modal approach. Comput. Biol. Medicine 63: 118-123 (2015) - [j9]Saeed Afshar, Libin George, Chetan Singh Thakur, Jonathan Tapson, André van Schaik, Philip de Chazal, Tara Julia Hamilton:
Turn Down That Noise: Synaptic Encoding of Afferent SNR in a Single Spiking Neuron. IEEE Trans. Biomed. Circuits Syst. 9(2): 188-196 (2015) - [c24]Nadi Sadr, Philip de Chazal:
A comparison of Obstructive Sleep Apnoea Detection using Three Different ECG Derived Respiration Algorithms. CinC 2015: 301-304 - [c23]Nadi Sadr, Jacqueline Huvanandana, Doan Trang Nguyen, Chandan Kalra, Alistair Lee McEwan, Philip de Chazal:
Reducing False Arrhythmia Alarms in the ICU by Hilbert QRS Detection. CinC 2015: 1173-1176 - [c22]Philip de Chazal, Nadi Sadr, Madhuka Jayawardhana:
An ECG oximetry system for identifying obstructive and central apnoea events. EMBC 2015: 7671-7674 - [c21]Nadi Sadr, Philip de Chazal, André van Schaik, Paul Breen:
Sleep apnoea episodes recognition by a committee of ELM classifiers from ECG signal. EMBC 2015: 7675-7678 - [c20]Philip de Chazal, Jonathan Tapson, André van Schaik:
A comparison of extreme learning machines and back-propagation trained feed-forward networks processing the mnist database. ICASSP 2015: 2165-2168 - 2014
- [c19]Gregory Cohen, Philip de Chazal:
A Multi-modal Approach to Sleep-Wake Classification in Infants using Minimally Invasive Sensors. CinC 2014: 149-152 - [c18]Philip de Chazal:
Heartbeat Classification System using Adaptive Learning form Selected Beats. CinC 2014: 729-732 - [c17]Nadi Sadr, Philip de Chazal:
Automated Detection of Obstructive Sleep Apnoea by Single-lead ECG through ELM Classification. CinC 2014: 909-912 - [c16]Philip de Chazal:
An adapting system for heartbeat classification minimising user input. EMBC 2014: 82-85 - [i3]Jonathan Tapson, Philip de Chazal, André van Schaik:
Explicit Computation of Input Weights in Extreme Learning Machines. CoRR abs/1406.2889 (2014) - [i2]Philip de Chazal, Jonathan Tapson, André van Schaik:
Learning ELM network weights using linear discriminant analysis. CoRR abs/1406.3100 (2014) - [i1]Saeed Afshar, Libin George, Jonathan Tapson, André van Schaik, Philip de Chazal, Tara Julia Hamilton:
Turn Down that Noise: Synaptic Encoding of Afferent SNR in a Single Spiking Neuron. CoRR abs/1411.2821 (2014) - 2013
- [c15]Gregory Cohen, Philip de Chazal:
Detection of Sleep Apnoea in Infants using ECG and Oximetry Signals. CinC 2013: 859-862 - [c14]Philip de Chazal:
A Switching Feature Extraction System for ECG Heartbeat Classification. CinC 2013: 955-958 - [c13]Philip de Chazal:
Detection of supraventricular and ventricular ectopic beats using a single lead ECG. EMBC 2013: 45-48 - [c12]Gregory Cohen, Philip de Chazal:
Automated detection of sleep apnea in infants using minimally invasive sensors. EMBC 2013: 1652-1655
2000 – 2009
- 2007
- [j8]Barry R. Greene, Philip de Chazal, Geraldine B. Boylan, Sean Connolly, Richard B. Reilly:
Electrocardiogram Based Neonatal Seizure Detection. IEEE Trans. Biomed. Eng. 54(4): 673-682 (2007) - 2006
- [j7]Barry R. Greene, Philip de Chazal, Geraldine B. Boylan, Richard B. Reilly, Ciara O'Brien, Sean Connolly:
Heart and respiration rate changes in the neonate during electroencephalographic seizure. Medical Biol. Eng. Comput. 44(1-2): 27-34 (2006) - [j6]Richard J. Moran, Richard B. Reilly, Philip de Chazal, Peter D. Lacy:
Telephony-based voice pathology assessment using automated speech analysis. IEEE Trans. Biomed. Eng. 53(3): 468-477 (2006) - [j5]Philip de Chazal, Richard B. Reilly:
A Patient-Adapting Heartbeat Classifier Using ECG Morphology and Heartbeat Interval Features. IEEE Trans. Biomed. Eng. 53(12): 2535-2543 (2006) - [c11]Barry R. Greene, Richard B. Reilly, Geraldine B. Boylan, Philip de Chazal, Sean Connolly:
Multi-channel EEG based Neonatal Seizure Detection. EMBC 2006: 4679-4684 - 2005
- [j4]Philip de Chazal, John Flynn, Richard B. Reilly:
Automated Processing of Shoeprint Images Based on the Fourier Transform for Use in Forensic Science. IEEE Trans. Pattern Anal. Mach. Intell. 27(3): 341-350 (2005) - 2004
- [j3]Neil Ryan, Conor Heneghan, Philip de Chazal:
Registration of digital retinal images using landmark correspondence by expectation maximization. Image Vis. Comput. 22(11): 883-898 (2004) - [j2]Philip de Chazal, Maria O'Dwyer, Richard B. Reilly:
Automatic classification of heartbeats using ECG morphology and heartbeat interval features. IEEE Trans. Biomed. Eng. 51(7): 1196-1206 (2004) - 2003
- [j1]Philip de Chazal, Conor Heneghan, Elaine Sheridan, Richard B. Reilly, Philip Nolan, Mark J. O'Malley:
Automated processing of the single-lead electrocardiogram for the detection of obstructive sleep apnoea. IEEE Trans. Biomed. Eng. 50(6): 686-696 (2003) - [c10]Patricia Scanlon, Richard B. Reilly, Philip de Chazal:
Visual feature analysis for automatic speechreading. AVSP 2003: 127-132 - [c9]Philip de Chazal, Richard B. Reilly:
Automatic classification of ECG beats using waveform shape and heart beat interval features. ICASSP (2) 2003: 269-272 - [c8]Christophe Huynh, Philip de Chazal, Donal McErlean, Richard B. Reilly, Tom J. Hannigan, Liam M. Fleury:
Automatic classification of shoeprints for use in forensic science based on the Fourier transform. ICIP (3) 2003: 569-572 - [c7]C. Maguire, Philip de Chazal, Richard B. Reilly, Peter D. Lacy:
Identification of voice pathology using automated speech analysis. MAVEBA 2003: 259-262 - [c6]Niall A. Fox, Ralph Gross, Philip de Chazal, Jeffrey F. Cohn, Richard B. Reilly:
Person identification using automatic integration of speech, lip, and face experts. WBMA@MM 2003: 25-32 - 2002
- [c5]Sinead Kelly, D. Burke, Philip de Chazal, Richard Reilly:
Parametric models and spectral analysis for classification in brain-computer interfaces. DSP 2002: 307-310 - [c4]Philip de Chazal, Richard B. Reilly, Conor Heneghan:
Automatic Sleep Apnoea Detection Using Measures of Amplitude and Heart Rate Variability from the Electrocardiogram. ICPR (1) 2002: 775-778 - [c3]Conor Heneghan, P. Maguire, Neil Ryan, Philip de Chazal:
Retinal image registration using control points. ISBI 2002: 349-352 - 2000
- [c2]Philip de Chazal, Richard B. Reilly, Gary McDarby, Branko G. Celler:
Classification of the electrocardiogram using selected wavelet coefficients and linear discriminants. ICASSP 2000: 3590-3593 - [c1]Philip de Chazal, Richard B. Reilly:
A Comparison of the Use of Different Wavelet Coefficients for the Classification of the Electrocardiogram. ICPR 2000: 2255-2258
Coauthor Index
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