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Computationally efficient algorithm for photoplethysmography-based atrial fibrillation detection using smartphones.

, , , and . EMBC, page 104-108. IEEE, (2017)

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A procedure to locate the eyelid position in noisy videokeratoscopic images., , , and . EURASIP J. Adv. Signal Process., (2016)A new method for heart rate monitoring during physical exercise using photoplethysmographic signals., , , and . EUSIPCO, page 2666-2670. IEEE, (2015)Computationally efficient heart rate estimation during physical exercise using photoplethysmographic signals., , and . EUSIPCO, page 2478-2481. IEEE, (2017)Hands-on in Signal Processing Education at Technische Universitat Darmstadt., , and . ICASSP, page 7011-7015. IEEE, (2018)Computationally efficient algorithm for photoplethysmography-based atrial fibrillation detection using smartphones., , , and . EMBC, page 104-108. IEEE, (2017)Robust Nonlinear Causality Analysis of Nonstationary Multivariate Physiological Time Series., , , , and . IEEE Trans. Biomed. Eng., 65 (6): 1213-1225 (2018)Signal Processing Projects at Technische Universität Darmstadt: How to engage undergraduate students in signal processing practice., , and . IEEE Signal Process. Mag., 34 (1): 16-30 (2017)Comparative Analysis of Vehicle-Based and Driver-Based Features for Driver Drowsiness Monitoring by Support Vector Machines., , , and . IEEE Trans. Intell. Transp. Syst., 23 (12): 23164-23178 (2022)Camera-based Driver Drowsiness State Classification Using Logistic Regression Models., , , and . SMC, page 1-8. IEEE, (2020)Driver Drowsiness Classification Based on Eye Blink and Head Movement Features Using the k-NN Algorithm., , , and . SSCI, page 889-896. IEEE, (2020)