| A real-time ppg peak detection method for accurate determination of heart rate during sinus rhythm and cardiac arrhythmia D Han, SK Bashar, J Lázaro, F Mohagheghian, A Peitzsch, N Nishita, ... Biosensors 12 (2), 82, 2022 | 51 | 2022 |
| Optimized signal quality assessment for photoplethysmogram signals using feature selection F Mohagheghian, D Han, A Peitzsch, N Nishita, E Ding, EL Dickson, ... IEEE Transactions on Biomedical Engineering 69 (9), 2982-2993, 2022 | 33 | 2022 |
| Atrial fibrillation detection on reconstructed photoplethysmography signals collected from a smartwatch using a denoising autoencoder F Mohagheghian, D Han, O Ghetia, D Chen, A Peitzsch, N Nishita, ... Expert Systems With Applications 237, 121611, 2024 | 11 | 2024 |
| A Smartwatch System for Continuous Monitoring of Atrial Fibrillation in Older Adults After Stroke or Transient Ischemic Attack: Application Design Study D Han, EY Ding, C Cho, H Jung, EL Dickson, F Mohagheghian, ... JMIR cardio 7, e41691, 2023 | 8 | 2023 |
| Noise Reduction in Photoplethysmography Signals using a Convolutional Denoising Autoencoder with Unconventional Training Scheme F Mohagheghian, D Han, O Ghetia, A Peitzsch, N Nishita, MPS Nejad, ... IEEE Transactions on Biomedical Engineering, 2023 | 6 | 2023 |
| Use of a smartwatch and app designed by stroke survivors for atrial fibrillation detection in older adults after stroke/transient ischemic event: Preliminary findings from an … EY Ding, D Han, EL Dickson, D DiMezza, J Scott, F Mohagheghian, ... Circulation 144 (Suppl_1), A9886-A9886, 2021 | 2 | 2021 |
| Automatic motion artifact detection in electrodermal activity signals using 1D U-net architecture Y Kong, MB Hossain, A Peitzsch, HF Posada-Quintero, KH Chon Computers in Biology and Medicine 182, 109139, 2024 | 1 | 2024 |
| Towards real-world wearable sleepiness detection: Electrodermal activity data during speech can identify sleep deprivation J Moon, A Peitzsch, Y Kong, P Seshadri, KH Chon Computers in Biology and Medicine 184, 109320, 2025 | | 2025 |
| Development and Verification of an Electrode for Recording Electrodermal Activity Underwater AG Peitzsch, MPS Nejad, KH Chon 2024 IEEE 20th International Conference on Body Sensor Networks (BSN), 1-4, 2024 | | 2024 |
| Classification of Sensory Nerve Fiber Stimulation Using Electrodermal Activity AG Peitzsch, Y Kong, M Mahjabin, KH Chon 2024 IEEE 20th International Conference on Body Sensor Networks (BSN), 1-4, 2024 | | 2024 |
| Objective Assessment of Acute Stress Disorder in Female Subjects Using Wearable Measures of Electrodermal Activity* AG Peitzsch, Y Kong, HF Posada-Quintero, KH Chon 2024 46th Annual International Conference of the IEEE Engineering in …, 2024 | | 2024 |
| Acute Stress Disorder Detection using Machine Learning based on resting-state fMRI Y Kong, A Peitzsch, HF Posada-Quintero, KH Chon 2024 46th Annual International Conference of the IEEE Engineering in …, 2024 | | 2024 |
| Multiclass arrhythmia classification using multimodal smartwatch photoplethysmography signals collected in real-life settings D Han, J Moon, LR Mercado-Díaz, D Chen, D Williams, F Mohagheghian, ... medRxiv, 2024.12. 03.24318445, 2024 | | 2024 |
| Creation of a Real-time Blood Chemistry Analyzer using In-Line Raman Resonance Spectroscopy J Glaser, S Tewolde, A Peitzsch, JP Bequette, K Geary, R Brothers, ... | | 2023 |
| Automating the Detection of Retinal Tears from Vascular Deformation using Machine Learning HCH Wang, A Peitzsch, L Martinez, S Tewolde, S Cardin Investigative Ophthalmology & Visual Science 62 (8), 2126-2126, 2021 | | 2021 |
| Verification of accuracy of an algorithmic image-based dental pulp vitality test S Bi, L Martinez, J Bequette, A Peitzsch, W D'Angelo Medical Imaging 2020: Computer-Aided Diagnosis 11314, 969-977, 2020 | | 2020 |
