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ORCIDMohamed Elgendi
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2020 – today
- 2024
[j23]Vera Birrer
, Mohamed Elgendi, Olivier Lambercy, Carlo Menon:
Evaluating reliability in wearable devices for sleep staging. npj Digit. Medicine 7(1) (2024)- 2023
- [j22]Mohamed Elgendi, Valentina Cecchini, Luana Nyirö, Lindsay M. Gorrell, Petra Schweinhardt, Carlo Menon:
Analysis of Force Profile Features in Spinal Manipulation Therapy. IEEE Access 11: 133386-133393 (2023) - [j21]Mohamed Elgendi, Richard Ribón Fletcher, Derek Abbott, Dingchang Zheng, Panicos A. Kyriacou, Carlo Menon:
Editorial: Mobile and wearable systems for health monitoring. Frontiers Digit. Health 5 (2023) - 2022
- [j20]Mohamed Elgendi, Valeria Galli, Chakaveh Ahmadizadeh, Carlo Menon:
Dataset of Psychological Scales and Physiological Signals Collected for Anxiety Assessment Using a Portable Device. Data 7(9): 132 (2022) - [j19]Linus Kramer, Carlo Menon, Mohamed Elgendi:
ECGAssess: A Python-Based Toolbox to Assess ECG Lead Signal Quality. Frontiers Digit. Health 4: 847555 (2022) - [j18]Luca Blum, Mohamed Elgendi, Carlo Menon:
Impact of Box-Cox Transformation on Machine-Learning Algorithms. Frontiers Artif. Intell. 5: 877569 (2022) - [j17]Lorenz Frey, Carlo Menon, Mohamed Elgendi:
Blood pressure measurement using only a smartphone. npj Digit. Medicine 5 (2022) - [j16]Brintha Sivajohan, Mohamed Elgendi, Carlo Menon, Catherine Allaire, Paul J. Yong, Mohamed A. Bedaiwy:
Clinical use of artificial intelligence in endometriosis: a scoping review. npj Digit. Medicine 5 (2022) - [j15]José Gómez Aleixandre, Mohamed Elgendi, Carlo Menon:
The Use of Audio Signals for Detecting COVID-19: A Systematic Review. Sensors 22(21): 8114 (2022) - [d1]Mohamed Elgendi:
MDPI Highly and Lowly Cited Papers. IEEE DataPort, 2022
- 2021
- [j14]Elisa Mejía-Mejía, James M. May, Mohamed Elgendi, Panayiotis A. Kyriacou:
Classification of blood pressure in critically ill patients using photoplethysmography and machine learning. Comput. Methods Programs Biomed. 208: 106222 (2021) - [j13]Elisa Mejía-Mejía, James M. May, Mohamed Elgendi, Panayiotis A. Kyriacou:
Differential effects of the blood pressure state on pulse rate variability and heart rate variability in critically ill patients. npj Digit. Medicine 4 (2021) - [j12]Qunfeng Tang, Zhencheng Chen, Carlo Menon, Rabab Ward, Mohamed Elgendi:
PPGTempStitch: A MATLAB Toolbox for Augmenting Annotated Photoplethsmogram Signals. Sensors 21(12): 4007 (2021) - 2020
- [j11]Mohamed Elgendi, Carlo Menon:
Machine Learning Ranks ECG as an Optimal Wearable Biosignal for Assessing Driving Stress. IEEE Access 8: 34362-34374 (2020) - [j10]Mohamed Elgendi, Catherine Allaire, Christina Williams, Mohamed A. Bedaiwy, Paul J. Yong:
Machine Learning Revealed New Correlates of Chronic Pelvic Pain in Women. Frontiers Digit. Health 2: 600604 (2020) - [j9]Yongbo Liang, Ahmed Hussain, Derek Abbott, Carlo Menon, Rabab Ward, Mohamed Elgendi:
Impact of Data Transformation: An ECG Heartbeat Classification Approach. Frontiers Digit. Health 2: 610956 (2020) - [j8]Samuel Huthart, Mohamed Elgendi, Dingchang Zheng, Gerard Stansby, John Allen:
Advancing PPG Signal Quality and Know-How Through Knowledge Translation - From Experts to Student and Researcher. Frontiers Digit. Health 2: 619692 (2020)
2010 – 2019
- 2019
- [j7]Mohamed Elgendi:
Characteristics of a Highly Cited Article: A Machine Learning Perspective. IEEE Access 7: 87977-87986 (2019) - [j6]Mohamed Elgendi, Richard Ribón Fletcher, Yongbo Liang, Newton Howard, Nigel H. Lovell, Derek Abbott, Kenneth Lim, Rabab Ward:
The use of photoplethysmography for assessing hypertension. npj Digit. Medicine 2 (2019) - 2018
- [j5]Ramy Hussein, Mohamed Elgendi, Z. Jane Wang, Rabab K. Ward:
Robust detection of epileptic seizures based on L1-penalized robust regression of EEG signals. Expert Syst. Appl. 104: 153-167 (2018) - 2017
- [c12]Ramy Hussein, Mohamed Elgendi, Rabab Kreidieh Ward, Amr Mohamed:
High performance EEG feature extraction for fast epileptic seizure detection. GlobalSIP 2017: 953-957 - 2015
- [j4]Mohamed Elgendi, Richard Ribón Fletcher, Ian Norton, Matt Brearley, Derek Abbott, Nigel H. Lovell, Dale Schuurmans:
Frequency analysis of photoplethysmogram and its derivatives. Comput. Methods Programs Biomed. 122(3): 503-512 (2015) - [j3]Mohamed Elgendi, Bjoern M. Eskofier, Derek Abbott:
Fast T Wave Detection Calibrated by Clinical Knowledge with Annotation of P and T Waves. Sensors 15(7): 17693-17714 (2015) - [j2]Mohamed Elgendi, Rich Fletcher, Ian Norton, Matt Brearley, Derek Abbott, Nigel H. Lovell, Dale Schuurmans:
On Time Domain Analysis of Photoplethysmogram Signals for Monitoring Heat Stress. Sensors 15(10): 24716-24734 (2015) - [c11]Stefan Gradl, Heike Leutheuser, Mohamed Elgendi, Nadine Lang, Björn M. Eskofier:
Temporal correction of detected R-peaks in ECG signals: A crucial step to improve QRS detection algorithms. EMBC 2015: 522-525 - 2014
- [j1]Mohamed Elgendi:
Detection of c, d, and e waves in the acceleration photoplethysmogram. Comput. Methods Programs Biomed. 117(2): 125-136 (2014) - [c10]Mohamed Elgendi:
Preliminary study for localizing c, d and e waves in photoplethysmogram signals. EMBC 2014: 62-65 - [c9]Parmod Kumar, Faisal Mahmood, Dhanya Menoth Mohan, Ken Wong, Abhishek Agrawal, Mohamed Elgendi, Rohit Shukla, Justin Dauwels, Alice H. D. Chan:
On the effect of subliminal priming on subjective perception of images: A machine learning approach. EMBC 2014: 5438-5441 - 2012
- [c8]Esteve Gallego-Jutglà, Mohamed Elgendi, François B. Vialatte, Jordi Solé-Casals, Andrzej Cichocki, Charles-François Vincent Latchoumane, Jaeseung Jeong, Justin Dauwels:
Diagnosis of Alzheimer's disease from EEG by means of synchrony measures in optimized frequency bands. EMBC 2012: 4266-4270 - [c7]Sanat Sarda, Martin Constable, Justin Dauwels, Shoko Dauwels, Mohamed Elgendi, Mengyu Zhou, Umer Rasheed, Yasir Tahir, Daniel Thalmann, Nadia Magnenat-Thalmann:
Real-Time Feedback System for Monitoring and Facilitating Discussions. IWSDS 2012: 375-387 - 2011
- [c6]Mohamed Elgendi, François B. Vialatte, Andrzej Cichocki, Charles-François Vincent Latchoumane, Jaeseung Jeong, Justin Dauwels:
Optimization of EEG frequency bands for improved diagnosis of Alzheimer disease. EMBC 2011: 6087-6091 - [c5]Mohamed Elgendi, François B. Vialatte, Martin Constable, Justin Dauwels:
Immersive Neurofeedback - A New Paradigm. IJCCI (NCTA) 2011: 465-469 - 2010
- [c4]Mohamed Elgendi, Mirjam Jonkman, Friso De Boer:
Heart Rate Variability Measurement using the Second Derivative Photoplethysmogram. BIOSIGNALS 2010: 82-87 - [c3]Mohamed Elgendi, Mirjam Jonkman, Friso De Boer:
Heart Rate Variability and the Acceleration Plethysmogram Signals Measured at Rest. BIOSTEC (Selected Papers) 2010: 266-277 - [c2]Mohamed Elgendi, Mirjam Jonkman, Friso De Boer:
Frequency Bands Effects on QRS Detection. BIOSIGNALS 2010: 428-431
2000 – 2009
- 2008
- [c1]Mohamed Elgendi, Mirjam Jonkman, Friso De Boer:
Premature atrial complexes detection using the Fisher Linear Discriminant. IEEE ICCI 2008: 83-88
Coauthor Index
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