P. Chazal

发表

Telephony-based voice pathology assessment using automated speech analysis

Philip de Chazal, Richard B. Reilly, Richard J. Moran, 2006, IEEE Transactions on Biomedical Engineering.

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

Saeed Afshar, Philip de Chazal, Tara Julia Hamilton, 2014, IEEE Transactions on Biomedical Circuits and Systems.

Classification of the electrocardiogram using selected wavelet coefficients and linear discriminants

Branko G. Celler, Philip de Chazal, Richard B. Reilly, 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).

Sleep staging using cardiorespiratory signals

C. Heneghan, P. Chazal, S. Redmond, 2007 .

Combination of EEG and ECG for improved automatic neonatal seizure detection

R. Reilly, P. Chazal, G. Boylan, 2007, Clinical Neurophysiology.

Systematic comparison of different algorithms for apnoea detection based on electrocardiogram recordings

A. Murray, G. Moody, J. Mcnames, 2002, Medical and Biological Engineering and Computing.

An ECG oximetry system for identifying obstructive and central apnoea events

Madhuka Jayawardhana, Philip de Chazal, Nadi Sadr, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Automatic Classification of OSA related Snoring Signals from Nocturnal Audio Recordings

P. Chazal, P. Cistulli, A. Sebastian, 2021, ArXiv.

Automated screening for sleep apnoea in the home environment

C. Heneghan, P. Chazal, C. Chua, 2007 .

Comparison of a novel non‐contact biomotion sensor with wrist actigraphy in estimating sleep quality in patients with obstructive sleep apnoea

Conor Heneghan, Patricia Boyle, Alberto Zaffaroni, 2014, Journal of sleep research.

Opportunities for Utilizing Polysomnography Signals to Personalize Obstructive Sleep Apnea Subtypes and Severity

T. Penzel, P. Chazal, U. Magalang, 2018 .

Automated Prediction of Sepsis Onset Using Gradient Boosted Decision Trees

P. Chazal, Nadi Sadr, J. Du, 2019, 2019 Computing in Cardiology (CinC).

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

Philip de Chazal, Arun Sebastian, Gary Cohen, 2021, 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

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

Philip de Chazal, Arun Sebastian, Gary Cohen, 2020, 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

A review of image-based automatic facial landmark identification techniques

P. Chazal, Benjamin Johnston, 2018, EURASIP J. Image Video Process..

Automatic classification of heartbeats using ECG morphology and heartbeat interval features

Philip de Chazal, Richard B. Reilly, Maria O’Dwyer, 2004, IEEE Transactions on Biomedical Engineering.

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

P. de Chazal, S. Kelly, D. Burke, 2002, 2002 14th International Conference on Digital Signal Processing Proceedings. DSP 2002 (Cat. No.02TH8628).

A Comparison of obstructive sleep apnoea detection using three different ECG derived respiration algorithms

Philip de Chazal, Nadi Sadr, P. Chazal, 2015, 2015 Computing in Cardiology Conference (CinC).

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

P. Chazal, J. Du, N. Sadr, 2020, 2020 Computing in Cardiology.

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

Philip de Chazal, Nadi Sadr, P. Chazal, 2020, 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

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

Philip de Chazal, Kate Sutherland, Peter Cistulli, 2020, 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

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

Madhuka Jayawardhana, Philip de Chazal, Nadi Sadr, 2017, 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

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

Madhuka Jayawardhana, Philip de Chazal, P. Chazal, 2017, 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Screening patients for risk of sleep apnea using facial photographs

Asghar Tabatabaei Balaei, Philip de Chazal, Hadis Nosrati, 2017, 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Apnoea-hypopnoea index estimation using craniofacial photographic measurements

Philip de Chazal, Nadi Sadr, Hadis Nosrati, 2016, 2016 Computing in Cardiology Conference (CinC).

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

André van Schaik, Paul Breen, Philip de Chazal, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Automated detection of obstructive sleep apnoea by single-lead ECG through ELM classification

Philip de Chazal, Nadi Sadr, P. Chazal, 2014, Computing in Cardiology 2014.

Assessment of sleep‐disordered breathing using a non‐contact bio‐motion sensor

Conor Heneghan, Patricia Boyle, Alberto Zaffaroni, 2013, Journal of sleep research.

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

Conor Heneghan, Philip de Chazal, Richard B. Reilly, 2003, IEEE Transactions on Biomedical Engineering.

Semi-automated nasal PAP mask sizing using facial photographs

Benjamin Johnston, Alistair Lee McEwan, Philip de Chazal, 2017, 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Abstract— A new method for calculation of an overnight oximetry signal metric which is predictive of cardiovascular disease (CVD) outcomes in individuals undergoing an overnight sleep

P. Chazal, P. Cistulli, K. Sutherland, 2021 .

Automatic detection of periodontitis using intra-oral images

Asghar Tabatabaei Balaei, Philip de Chazal, Jörg Eberhard, 2017, 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

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

Gregory Cohen, Philip de Chazal, Gregory Cohen, 2015, Comput. Biol. Medicine.

Diagnostic performance of the non-contacting device SleepMinder in diagnosis of sleep apnea

P. Chazal, H. Teschler, G. Weinreich, 2011 .

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

Philip de Chazal, Kate Sutherland, Nadi Sadr, 2021, 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

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

Philip de Chazal, Nadi Sadr, P. Chazal, 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Parametric Models and Classification for Direct Brain Interfaces

Simon P. Kelly, Richard B. Reilly, D. Burke, 2002 .

A review of image-based automatic facial landmark identification techniques

Benjamin Johnston, Philip de Chazal, P. Chazal, 2018, EURASIP Journal on Image and Video Processing.

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

Philip de Chazal, Richard B. Reilly, R. Reilly, 2006, IEEE Transactions on Biomedical Engineering.

Explicit Computation of Input Weights in Extreme Learning Machines pdf

André van Schaik, Philip de Chazal, Jonathan Tapson, 2014, ArXiv.

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

Philip de Chazal, Peter Cistulli, Arun Sebastian, 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Registration of digital retinal images using landmark correspondence by expectation maximization

Conor Heneghan, Philip de Chazal, Neil Ryan, 2004, Image Vis. Comput..

Automatic detection of obstructive sleep apnea using facial images

Asghar Tabatabaei Balaei, Philip de Chazal, Kate Sutherland, 2017, 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017).

Automatic sleep apnoea detection using measures of amplitude and heart rate variability from the electrocardiogram

Conor Heneghan, Philip de Chazal, Richard B. Reilly, 2002, Object recognition supported by user interaction for service robots.

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

Philip de Chazal, Nadi Sadr, P. Chazal, 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Home Screening for Obstructive Sleep Apnea Syndrome Using a Combined Holter-Oximeter.

C. Heneghan, P. Chazal, C. Chua, 2009, ATS 2009.

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

Phongphan Phienphanich, Sombat Muengtaweepongsa, Sutanya Phuechpanpaisal, 2018, IEEE Access.

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

Ralph Gross, Richard B. Reilly, Jeffery F. Cohn, 2003, WBMA '03.

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

Philip de Chazal, Nadi Sadr, P. Chazal, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

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

André van Schaik, Philip de Chazal, Jonathan Tapson, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

A multi-modal approach to sleep-wake classification in infants using minimally invasive sensors

Gregory Cohen, Philip de Chazal, Gregory Cohen, 2014, Computing in Cardiology 2014.

Using wavelet coefficients for the classification of the electrocardiogram

B. Celler, R. Reilly, P. Chazal, 2000, Proceedings of the 22nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (Cat. No.00CH37143).

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

Mark D. McDonnell, Philip de Chazal, Robby G. McKilliam, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

SERIES EDITORIAL-PROLOGUE: NEW FRONTIERS IN SLEEP-DISORDERED BREATHING

P. Chazal, 2020 .

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

Richard B. Reilly, P. de Chazal, R. Reilly, 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

Automatic Scoring of Non-Apnoea Arousals Using the Polysomnogram

P. Chazal, N. Sadr, 2018, 2018 Computing in Cardiology Conference (CinC).

A Portable Automated Assessment Tool for Sleep Apnea Using a Combined Holter-Oximeter

C. Heneghan, P. Chazal, C. Chua, 2008 .

Electrocardiogram Based Neonatal Seizure Detection

Geraldine B. Boylan, Sean Connolly, Barry R. Greene, 2007, IEEE Transactions on Biomedical Engineering.

Multi-channel EEG based Neonatal Seizure Detection

P. de Chazal, R.B. Reilly, S. Connolly, 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

Retinal image registration using control points

Conor Heneghan, Philip de Chazal, Neil Ryan, 2002, Proceedings IEEE International Symposium on Biomedical Imaging.

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

Philip de Chazal, Nadi Sadr, P. Chazal, 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Comparing ECG derived respiratory signals and chest respiratory signal for the detection of obstructive sleep apnoea

Philip de Chazal, Nadi Sadr, P. Chazal, 2016, 2016 Computing in Cardiology Conference (CinC).

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

P. Chazal, N. Sadr, 2016, Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Reducing false arrhythmia alarms in the ICU by Hilbert QRS detection

Alistair Lee McEwan, Philip de Chazal, Nadi Sadr, 2015, 2015 Computing in Cardiology Conference (CinC).

Automatic detection of paroxysmal atrial fibrillation

Conor Heneghan, Philip de Chazal, Redmond Shouldice, 2012 .

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

Philip de Chazal, P. Chazal, 2013, EMBC.

Automatic classification of sleep apnea epochs using the electrocardiogram

P. de Chazal, C. Heneghan, M. O'Malley, 2000, Computers in Cardiology 2000. Vol.27 (Cat. 00CH37163).

Automated processing of shoeprint images based on the Fourier transform for use in forensic science

John Flynn, Philip de Chazal, Richard B. Reilly, 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Running effective meetings: a primer for doctors

P. Chazal, P. de Chazal, M. Kidd, 2006, Postgraduate Medical Journal.