M
Mohamed Elgendi
Researcher at University of British Columbia
Publications - 136
Citations - 4637
Mohamed Elgendi is an academic researcher from University of British Columbia. The author has contributed to research in topics: Medicine & Photoplethysmogram. The author has an hindex of 27, co-authored 102 publications receiving 2957 citations. Previous affiliations of Mohamed Elgendi include Simon Fraser University & Charles Darwin University.
Papers
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Journal ArticleDOI
On the Analysis of Fingertip Photoplethysmogram Signals
TL;DR: Different types of artifact added to PPG signal, characteristic features of PPG waveform, and existing indexes to evaluate for diagnoses are discussed.
Journal ArticleDOI
The use of photoplethysmography for assessing hypertension
Mohamed Elgendi,Richard Fletcher,Yongbo Liang,Newton Howard,Nigel H. Lovell,Derek Abbott,Kenneth Lim,Rabab K. Ward +7 more
TL;DR: Although the technology is not yet mature, it is anticipated that in the near future, accurate, continuous BP measurements may be available from mobile and wearable devices given their vast potential.
Journal ArticleDOI
Fast QRS Detection with an Optimized Knowledge-Based Method: Evaluation on 11 Standard ECG Databases
TL;DR: In this article, the authors proposed a simple-fast method for automatic QRS detection based on two moving averages that are calibrated by a knowledge base using only two parameters, which can be easily implemented in a digital filter design.
Journal ArticleDOI
Optimal Signal Quality Index for Photoplethysmogram Signals.
TL;DR: The skewness index outperformed the other seven indices in differentiating between excellent PPG and acceptable, acceptable combined with unfit, and unfit recordings, with overall F1 scores of 86.0%, 87.2%, and 79.1%, respectively.
Posted Content
Revisiting QRS detection methodologies for portable, wearable, battery-operated, and wireless ECG systems
TL;DR: In this paper, the authors investigate current QRS detection algorithms based on three assessment criteria: robustness to noise, parameter choice, and numerical eciency, in order to target a universal fast-robust detector.