151 citations · 208 across the 22 of their papers we have counts for
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An LSTM Feature Imitation Network for Hand Movement Recognition from sEMG Signals
Chuheng Wu, S. Farokh Atashzar, Mohammad M. Ghassemi +1
Surface Electromyography (sEMG) is a non-invasive signal that is used in the recognition of hand movement patterns, the diagnosis of diseases, and the robust control of prostheses.…
Fetal Gender Identification using Machine and Deep Learning Algorithms on Phonocardiogram Signals
Reza Khanmohammadi, Mitra Sadat Mirshafiee, Mohammad Mahdi Ghassemi +1
Phonocardiogram (PCG) signal analysis is a critical, widely-studied technology to noninvasively analyze the heart's mechanical activity. Through evaluating heart sounds, this techn…
Artifact Detection and Correction in EEG data: A Review
S Sadiya, T Alhanai, MM Ghassemi
Electroencephalography (EEG) has countless applications across many of fields. However, EEG applications are limited by low signal-to-noise ratios. Multiple types of artifacts cont…
EEG Channel Interpolation Using Deep Encoder-decoder Netwoks
Sari Saba-Sadiya, Tuka Alhanai, Taosheng Liu +1
Electrode "pop" artifacts originate from the spontaneous loss of connectivity between a surface and an electrode. Electroencephalography (EEG) uses a dense array of electrodes, hen…