Nadi Sadr

According to our database, Nadi Sadr authored at least 23 papers between 2014 and 2022.

Collaborative distances:

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

2022

Heart Murmur Detection from Phonocardiogram Recordings: The George B. Moody PhysioNet Challenge 2022.

Matthew A. Reyna, Yashar Kiarashi, Andoni Elola, Jorge Oliveira, Francesco Renna, Annie Gu, Erick Andres Perez-Alday, Nadi Sadr, Ashish Sharma, Sandra da Silva Mattos, Miguel T. Coimbra, Reza Sameni, Ali Bahrami Rad, Gari D. Clifford

Proceedings of the Computing in Cardiology, 2022

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

Will Two Do? Varying Dimensions in Electrocardiography: The PhysioNet/Computing in Cardiology Challenge 2021.

Matthew A. Reyna, Nadi Sadr, Erick Andres Perez-Alday, Annie Gu, Amit J. Shah, Chad Robichaux, Ali Bahrami Rad, Andoni Elola, Salman Seyedi, Sardar Ansari, Hamid Ghanbari, Qiao Li, Ashish Sharma, Gari D. Clifford

Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

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

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

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

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 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

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

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

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

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

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