Biography

Mohamed Elgendi received his B.S. degree (first-class honours) in Computer Engineering from the High Institute of Engineering, Egypt, in 2000. Following completion of his undergraduate degree, in 2006 Elgendi was honoured with a full scholarship from Charles Darwin University, Australia, where he pursued his M.E. degree in Electrical Engineering. During his first year in Australia, Elgendi was awarded the Australian Government International Postgraduate Research Scholarship and continued his studies towards completing his PhD in biomedical engineering in 2012.
From 2010-2012, Elgendi joined Nanyang Technological University in Singapore as a Research Associate. After 2 years of successful work in Singapore from 2012-2014, he moved to Alberta to work as a Postdoc Fellow at University of Alberta, Canada. Since 2015, Elgendi has been a post-doctoral fellow at the University of British Columbia and was recently awarded the Mining for Miracles Fellowship at the Child and Family Research Institute (a joint program of UBC and Children and Women’s Hospital).
In terms of awards, Elgendi received two scholarships in the last few years: in 2007 the Massachusetts Institute of Technology (MIT) granted Elgendi a scholarship to attend an advanced workshop in Data Modeling, and EU Marie Curie also awarded Elgendi a scholarship.Two years later, Elgendi was invited as a guest speaker to MIT-Harvard Division of Health Sciences and Technology. In the same year, he was also selected as a finalist for the 2009 AusBiotech-GSK Student Excellence Awards. 2009 was also a year where Elgendi received media attention for his work from Northern Territory News in an article titled ” Charles Darwin student gets to the heart of matter”.
In June 2011, Elgendi and his team was ranked 3rd place at the International Conference of Cognitive Dynamics, along side Prof. Shun-Ichi Amari (RIKEN Brain Institute) and support of Prof. Leslie Kay (University of Chicago). Five months Later, his work with Justin Dauwels has been selected for demonstration to Singapore’s Minister of Health Gan Kim Yong at the opening of the new exhibition entitled “Uniquely You” in Singapore Science Centre. Moreover, his demo remained on display at Singapore’s Science Centre for from 2010 to 2015 as a part of the exhibit. In 2016, Dr Elgendi won two scholarships from MIT to participate in two intensive training on Big Data Analysis and Leadership.

Research Interests/Skills

Biomedical Signal Processing, Machine Learning, Mobile Health, Affordable Healthcare, Big Data

Publications

Journal Publications
Elgendi M, Howard N, Lovell N, Cichocki A, Brearley M, Abbott D, Adatia I (2016) A Six-Step Framework on Biomedical Signal Analysis for Tackling Noncommunicable Diseases: Current and Future Perspectives JMIR Biomed Eng 1(1):e1.
Elgendi M, Meo M, Abbott D (2016) A Proof-of-Concept Study: Simple and Effective Detection of P and T Waves in Arrhythmic ECG Signals Bioengineering 3(4) 26.
Elgendi M (2016) Eventogram: A Visual Representation of Main Events in Biomedical Signals Bioengineering 3(4) 22.
Elgendi M (2016) Optimal Signal Quality Index for Photoplethysmogram Signals Bioengineering 3(4) 21.
Kaddoura T, Kumar S, Bobhate P, Guo L, Jain S, Elgendi M, Coe J, Kim D, Taylor D, Tymchak W, Schuurmans D, Zemp R, Adatia I (2016) Acoustic diagnosis of pulmonary hypertension: automated speech- recognition-inspired classification algorithm outperforms physicians Scientific Reports 6.
Guo L, Cui Y, Bobhate P, Kumar S, Jain S, Elgendi M, Pharis S, Ryerson L, Adatia I (2016) Measurement of Oxygen Consumption in Critically Ill Children: Breath-by-Breath Method vs Mass Spectrometry Am J Crit Care 25(3): 243-248.
Mohan DM, Kumar P, Mahmood F, Wong KF, Agrawal A, Elgendi M, et al. (2016) Effect of Subliminal Lexical Priming on the Subjective Perception of Images: A Machine Learning Approach. PLoS ONE 11(2): e0148332.
Elgendi M, Kumar S, Guo L, Rutledge J, Coe JY, Zemp R, et al. (2015) Detection of Heart Sounds in Children with and without Pulmonary Arterial Hypertension―Daubechies Wavelets Approach. PLoS ONE 10(12): e0143146.
Elgendi M, Norton I, Brearley M, Fletcher R R, Abbott D, Lovell N H, Schuurmans D (2015) Towards Investigating Global Warming Impact on Human Health Using Derivatives of Photoplethysmogram Signals. Int. J. Environ. Res. Public Health 12(10): 12776-1279.
Elgendi M, Fletcher R, Norton I, Brearley M, Abbott D, Lovell N H, Schuurmans (2015) Frequency analysis of photoplethysmogram and its derivatives. Computer Methods and Programs in Biomedicine 122(3): 503-512, 2015.
Elgendi M, Fletcher R, Norton I, Brearley M, Abbott D, Lovell N H, Schuurmans D (2015) On Time Domain Analysis of Photoplethymogram Signals for Monitoring Heat Stress. Sensors 15(10): 24716-24734.
Elgendi M, Bobhate P, Jain S, Guo L, Kumar S, Rutledge J, Coe Y, Zemp R, Schuurmans D, Adatia I (2015) The unique heart sound signature of children with pulmonary artery hypertension. Pulmonary Circulation
Elgendi M, Eskofier B, Abbott D (2015) Fast T Wave Detection Calibrated by Clinical Knowledge with Annotation of P and T Waves. Sensors 15(7): 17693-17714.
Gallego-Jutgla E, Sole-Casals J, Vialatte F, Elgendi M, Cichocki A, and Dauwels J (2015) A hybrid feature selection approach for the early diagnosis of Alzheimer’s disease. Journal of Neural Engineering 12(1): 016018.
Elgendi M, Norton I, Brearley M, Abbott D, Schuurmans D (2014) Detection of a and b waves in the acceleration photoplethysmogram. BioMedical Engineering OnLine 13:139
Elgendi M, Bobhate P, Jain S, Guo L, Rutledge J, Coe Y, Zemp R, Schuurmans D, Adatia I (2014) Time-domain analysis of heart sound intensity in children with and without pulmonary artery hypertension: a pilot study using a digital stethoscope. Pulmonary Circulation 4(4): 685-695 [PDF]
Elgendi M (2014) Detection of c, d, and e waves in the acceleration photoplethysmogram. Computer Methods and Programs in Biomedicine 117(2): 125-136.
Elgendi M, Picon F, Magnenat-Thalmann N, Abbott D (2014) Arm movement speed assessment via a Kinect camera: A preliminary study in healthy subjects. BioMedical Engineering OnLine 13:88
Elgendi M, Bobhate P, Jain S, Guo L, Rutledge J, Coe Y, Zemp R, Schuurmans D, Adatia I (2014) Spectral analysis of the heart sounds in children with and without pulmonary artery hypertension heart sounds analysis in children with pulmonary hypertension. International Journal of Cardiology 173(1): 92-99 [PDF]
Elgendi M, Eskofier B, Dokos S, Abbott D (2014) Revisiting QRS detection methodologies for portable, wearable, battery-operated, and wireless ECG systems. PLoS ONE 9(1): e84018 [PDF]
Elgendi M, Norton I, Brearley M, Abbott D, Schuurmans D (2013) Systolic Peak Detection in Acceleration Photoplethysmograms Measured from Emergency Responders in Tropical Conditions. PLoS ONE 8(10): e76585 [PDF]
Elgendi M (2013) Fast QRS Detection with an Optimized Knowledge-Based Method: Evaluation on 11 Standard ECG Databases. PLoS ONE 8(9): e73557 [PDF]
Guo G and Elgendi M (2013) A New Recommender System for 3D E-Commerce: An EEG Based Approach. Journal of Advanced Management Science 1(1) [PDF]
Elgendi M (2012) Standard Terminologies for Photoplethysmogram Signals. Current Cardiology Reviews 8(3) [PDF]
Elgendi M (2012) On the Analysis of Fingertip Photoplethysmogram Signals. Current Cardiology Reviews 8(1) [PDF]
Elgendi M, Jonkman M, and De Boer F (2009) Improved QRS Detection Algorithm using Dynamic Thresholds. International Journal of Hybrid Information Technology 2(1) [PDF]
Book Chapters
M. Elgendi, J. Dauwels, B. Rebsamen, R. Shukla, Y. Putra, J. Gamez, N. ZePing, B. Ho, N. Prasad, A. Nair, V. Mishuhina, F. Vialatte, M. Constable, A. Cichocki, C. Latchoumane, J. Jeong, D. Thalmann,and N. Magnenat-Thalmann; “From Auditory and Visual to Immersive Neurofeedback: Application to Diagnosis of Alzheimer’s Disease”; Neural computation, neurodevices, and neural prosthesis, 2014, pp 63-97 [PDF]
M. Elgendi, B. Rebsamen, A. Cichocki, F. Vialatte, and J. Dauwels, “Real-Time Wireless Sonification of Brain Signals”, Advances in Cognitive Neurodynamics (III), 2013, pp 175-181 [PDF]
S. Sarda, M. Constable, J. Dauwels, S. Dauwels, M. Elgendi, Z. Mengyu, U. Rasheed, Y. Tahir, D. Thalmann and N. Thalmann:”Real-Time Feedback System for Monitoring and Facilitating Discussions” , Natural Interaction with Robots, Knowbots and smartphones-Putting Spoken Dialog Systems into Practice, Lecture Notes in Computer Science 2013, Springer [PDF]
M. Elgendi, M. Jonkman, and F. De Boer, “Heart Rate Variability and Acceleration Plethysmogram measured at rest”; Communications in Computer and Information Science, Lecture Notes, Springer (invited: 02-04-10) [PDF]
Conference Papers
M. Elgendi, Preliminary study for localizing c, d, and e waves in photoplethysmogram signals, Proc. 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, accepted on the 3rd June 2014.
P. Kumar, F. Mahmood, D. Menoth, K. Wong, A. Agrawal, K. Wong, M. Elgendi, R. Shukla, J. Dauwels, and A. Chan, On the effect of subliminal priming on subjective perception of images: a machine learning approach, Proc. 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, accepted on the 3rd June 2014.
J. Dauwels, P. Kumar, F. Mahmood, K. Wong, A. Agrawal, M. Elgendi, S. Kannan, D. Menoth, R. Shukla, J. Dauwels, and A. Chan, A study on the effect of subliminal priming on subjective perception of images: a machine learning approach, ICBME2013, accepted.
P. Kumar, F. Mahmood, K. Wong, M. Elgendi, A. Agrawal, S. Kannan, D. Menoth, R. Shukla, J. Dauwels, and A. Chan, Inferring subliminal primes from EEG through machine learning, EMBC2013, accepted.
S. Sarda, M. Constable, J. Dauwels, S. Dauwels (Okutsu), M. Elgendi, Z. Mengyu, U. Rasheed, Y. Tahir, D. Thalmann, Nadia Magnenat-Thalmann, “Real-Time Feedback System for Monitoring and Facilitating Discussions”, IWSDS’2012 Workshop on Spoken Dialog Systems, Paris, France; 28-30 Nov 2012 [PDF]
E. Gallego-Jutgla, M. Elgendi, F. Vialatte, J. Sole-Casals, A. Cichocki, C. Latchoumane, J. Jeong, and J. Dauwels, “Diagnosis of Alzheimer’s Disease from EEG by Means of Synchrony Measures in Optimized Frequency Bands”, EMBC2012, San Diego, USA; 28th Aug-3rd Sep 2012 [PDF]
M. Elgendi, F. Picon, and N. Magenant-Thalmann, “Real-Time Speed Detection of Hand Gesture using Kinect”, Workshop on Autonomous Social Robots and Virtual Humans”, the 25th Annual Conference on Computer Animation and Social Agents (CASA 2012), Singapore; 09-11 May 2012
M. Elgendi, F. Vialatte, M. Constable Vialatte, and J. Dauwels, “Immersive Neurofeedback: A New Paradigm”, NCTA2011, Paris; 24-26 Oct 2011 [PDF]
M. Elgendi, F. Vialatte, A. Cichocki, C. Latchoumane, J. Jeong, and J. Dauwels, “Optimization of EEG Frequency Bands for Improved Diagnosis of Alzaheimer Disease”, EMBC2011, Boston; 30Aug-3rdSep 2011 [PDF]
M. Elgendi, M. Jonkman, and F. De Boer, “Applying the APG to measure Heart Rate Variability” Proceedings IEEE ICCAE, Computer and Automation Engineering, Singapore, pp.100-103, 26-28 Feb 2010
M. Elgendi, M. Jonkman, and F. De Boer, “Frequency Bands Effects on QRS Detection” Proceedings Springer-Verlag, Biomedical Engineering Systems and Technologies, Spain; pp.428-431, 20-23 Jan 2010 [PDF]
M. Elgendi, M. Jonkman, and F. De Boer, “Heart Rate Variability Measurement Using the Second Derivative Photoplethysmogram” Proceedings Springer-Verlag, Biomedical Engineering Systems and Technologies, Spain; pp. 82-85, 20-23 Jan 2010.
M. Elgendi, M. Jonkman, and F. De Boer, “Measurement of a-a Intervals at Rest in the Second Derivative Plethysmogram” Proceedings IEEE, Bioelectronics and Bioinformatics, RMIT University, pp.75-79, 9-11 Dec 2009 [PDF]
M. Elgendi, M. Jonkman, and F. De Boer, “Recognition of T Waves in ECG signals” Proceedings IEEE NEBEC, Massachusetts Institute of Technology, pp.10-14, 3-5 April 2009 [PDF]
M. Elgendi, M. Jonkman, and F. De Boer, “R Wave Detection using Coiflets Wavelets” Proceedings IEEE NEBEC, Massachusetts Institute of Technology, pp.1-4, 3-5 April 2009. [PDF]
M. Elgendi, M. Jonkman, and F. De Boer, “P Wave Demarcation in Electrocardiogram” Proceedings IEEE NEBEC, Massachusetts Institute of Technology, pp.5-9, 3-5 April 2009 [PDF]
M. Elgendi, M. Jonkman, and F. De Boer, “A Robust QRS Complex Detection Algorithm using Dynamic Thresholds” Proceedings IEEE CSA, Computer Science and its Applications, Tasmania University, pp.153-158, 13-15 Oct 2008 [PDF]
M. Elgendi, M. Jonkman, and F. De Boer, “Premature Atrial Complexes Detection using the Fisher Linear Discriminant” Proceedings IEEE ICCI, Cognitive Informatics, Stanford University, pp.83-88, 14-16 Aug 2008 [PDF]
M. Elgendi, M. Jonkman, and F. De Boer, “Classification of the Feature Vectors of ECG Signals” Proceedings ICICT, American University in Cairo, pp.228-231, 8-12 Dec 2006 [PDF]
M. Elgendi, M. Elaadawy, H. Kishk, “Automatic Iris Recognition using Neural Networks and Wavelet” Proceedings SPIE, Vol. 5616, p.p. 69-76, 2004 [PDF]

Grants

– Mining for Miracles Fellowship – University of British Columbia, (Aug 2016–Aug 2017)
– Cardiovascular Medical Research and Education Fund (Mar 2013–Feb 2014)
– Alberta Innovates Centre for Machine Learning Postdoctoral Fellowship (Aug 2010–Aug 2012)
– Institute of Media Innovation Seed Grant – Nanyang Technological University, Singapore (July 2006–June 2010)
– International Postgraduate Research Scholarship – Australian Government

Projects

Preeclampsia Analysis and Modelling
Heart Sounds and Cardiac Arrhythmias
EEG Sonification and Visualization
Subliminal Priming using EEG and eye tracker
Speed Analysis of Hand Gesture using Kinect
Speech Signal Analysis
Wheelchair Control
ECG and APG Signal Processing

2016: Awarded the Mining for Miracles Postdoctoral Fellowship
2014: Most cited paper: My paper On the Analysis of Fingertip Photoplethysmogram Signals is among the most cited Current Cardiology Reviews articles since 2006
2011: Project demonstration to Singapore’s Minister of Health Gan Kim Yong at the opening of “Uniquely You” exhibition in Singapore’s Science Centre
2011: Third Ranking at Int’l Conference of Cognitive Dynamics: Our group was ranked the third with appreciation of Prof. Shun-Ichi Amari (RIKEN Brain Science Institute) and support of Prof. Leslie Kay (University of Chicago)
2009: Finalist Student Excellence: Selected as a finalist by the judging panel the of Australia’s Biotechnology Organisation “AusBiotech” for the 2009 AusBiotech-GSK Student Excellence Awards
2008: Offered a scholarship from Australia’s Information and Communications Technology Centre of Excellence (NICTA) to attend Prof. Larry Marple (Oregon State University, USA) workshop in Signal Analysis Techniques
2008: Received scholarship to attend the Biomedical Signal Analysis Workshop, Institute of Sound and Vibration Research, Southampton, UK
2007: Received scholarship from Massachusetts Institute of Technology to attend the Data Modeling Workshop, Boston, USA
2007: Received scholarship from EU Marie Curie Conferences and Training Courses, European Society for Mathematical and Theoretical Biology, and University of Graz, Austria
2006: Awarded the University Postgraduate Research Scholarship, Charles Darwin University, Australia
2006: Awarded the International Postgraduate Research Scholarship, Australian Government
2006: Award, Medical Psychology: Offered a fee waiver Scholarship from Tubingen University to visit the Institute of Medical Psychology and Behavioral Neurobiology for three Months
2005: Awarded the Master of Engineering Scholarship, Charles Darwin University, Australia
2005: Awarded a full scholarship for Master Degree from Politecnico Di Milano University