Supervised heart rate tracking using wrist-type photoplethysmographic (PPG) signals during physical exercise without simultaneous acceleration signals M Essalat, MB Mashhadi, F Marvasti 2016 IEEE global conference on signal and information processing (GlobalSIP …, 2016 | 26 | 2016 |
Low complexity heart rate measurement from wearable wrist-type photoplethysmographic sensors robust to motion artifacts MB Mashhadi, M Farhadi, M Essalat, F Marvasti 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 21* | 2018 |
Interpretable deep learning for diagnosis of fungal and acanthamoeba keratitis using in vivo confocal microscopy images M Essalat, M Abolhosseini, TH Le, SM Moshtaghion, MR Kanavi Scientific Reports 13 (1), 8953, 2023 | 10* | 2023 |
A naturalistic study of brushing patterns using powered toothbrushes M Essalat, D Morrison, S Kak, EJ Chang, IR Penso, RJ Kulchar, ... Plos one 17 (5), e0263638, 2022 | 10 | 2022 |
An improved algorithm for heart rate tracking during physical exercise using simultaneous wrist-type photoplethysmographic (PPG) and acceleration signals MB Mashhadi, M Essalat, M Ahmadi, F Marvasti 2016 23rd Iranian Conference on Biomedical Engineering and 2016 1st …, 2016 | 7 | 2016 |
Monitoring brushing behaviors using toothbrush embedded motion-sensors M Essalat, OHM Padilla, V Shetty, G Pottie Authorea Preprints, 2023 | 4 | 2023 |
Time-series Classification for Monitoring Toothbrushing Behavior Using Motion Sensors M Essalat University of California, Los Angeles, 2023 | | 2023 |