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Nadi Sadr
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2020 – today
- 2022
- [c23]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
Heart Murmur Detection from Phonocardiogram Recordings: The George B. Moody PhysioNet Challenge 2022. CinC 2022: 1-4 - 2021
- [c22]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:
Will Two Do? Varying Dimensions in Electrocardiography: The PhysioNet/Computing in Cardiology Challenge 2021. CinC 2021: 1-4 - [c21]Philip de Chazal
Predicting Cardiovascular Outcomes Using the Respiratory Event Desaturation Transient Area Derived from Overnight Sleep Studies. EMBC 2021: 5496-5499 - 2020
- [c20]Philip de Chazal
Prediction of Apnoea and Non-apnoea Arousals From the Polysomnogram Using a Neural Network Classifier. CinC 2020: 1-4 - [c19]Nadi Sadr, Yu Sun Bin, Kate Sutherland
Is Cumulative Time of Oxygen Desaturation a Better Predictor of Cardiovascular Mortality than Apnoea Hypopnoea Index? EMBC 2020: 2788-2791 - [c18]Philip de Chazal
Automated Annotation of Polysomnogram Epochs for Apnoea and Non-apnoea Arousals. EMBC 2020: 2796-2799
2010 – 2019
- 2019
- [c17]John Anda Du, Nadi Sadr, Philip de Chazal
Automated Prediction of Sepsis Onset Using Gradient Boosted Decision Trees. CinC 2019: 1-4 - [c16]Nadi Sadr, Philip de Chazal
Non-invasive Diagnosis of Sleep Apnoea Using ECG and Respiratory Bands. EMBC 2019: 1609-1612 - [c15]Nadi Sadr, Philip de Chazal
Comparing Different Methods of Hand-crafted HRV, EDR and CPC Features for Sleep Apnoea Detection. EMBC 2019: 3870-3873 - [c14]Philip de Chazal
An Investigation of the Relationship between the Apnoea Hypopnoea Index and Apnoea Hypopnoea Duration per Hour. EMBC 2019: 5708-5711 - 2018
- [c13]Nadi Sadr, Philip de Chazal
Automatic Scoring of Non-Apnoea Arousals Using the Polysomnogram. CinC 2018: 1-4 - [c12]Nadi Sadr, Philip de Chazal
A Fast Principal Component Analysis Method For Calculating The ECG Derived Respiration. EMBC 2018: 5294-5297 - [c11]Philip de Chazal
Optimising the Apnoea Classification Performance of a Neural Network Classifier Processing ECG-Oximetry Signals. EMBC 2018: 6026-6029 - 2017
- [c10]Nadi Sadr, Madhuka Jayawardhana, Philip de Chazal
Sleep apnoea diagnosis using respiratory effort-based signals - a comparative study. EMBC 2017: 1551-1554 - 2016
- [c9]Hadis Nosrati, Nadi Sadr, Philip de Chazal:
Apnoea-Hypopnoea Index Estimation using Craniofacial Photographic Measurements. CinC 2016 - [c8]Nadi Sadr, Philip de Chazal:
Comparing ECG Derived Respiratory Signals and Chest Respiratory Signal for the Detection of Obstructive Sleep Apnoea. CinC 2016 - [c7]Philip de Chazal
Sleep apnoea classification using heart rate variability, ECG derived respiration and cardiopulmonary coupling parameters. EMBC 2016: 3203-3206 - [c6]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 - 2015
- [c5]Nadi Sadr, Philip de Chazal
A comparison of Obstructive Sleep Apnoea Detection using Three Different ECG Derived Respiration Algorithms. CinC 2015: 301-304 - [c4]Nadi Sadr, Jacqueline Huvanandana
Reducing False Arrhythmia Alarms in the ICU by Hilbert QRS Detection. CinC 2015: 1173-1176 - [c3]Philip de Chazal
An ECG oximetry system for identifying obstructive and central apnoea events. EMBC 2015: 7671-7674 - [c2]Nadi Sadr, Philip de Chazal
Sleep apnoea episodes recognition by a committee of ELM classifiers from ECG signal. EMBC 2015: 7675-7678 - 2014
- [c1]Nadi Sadr, Philip de Chazal:
Automated Detection of Obstructive Sleep Apnoea by Single-lead ECG through ELM Classification. CinC 2014: 909-912
Coauthor Index
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