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Nargess Heydari Beni
Nargess Heydari Beni
PhD Candidate at the University of Waterloo
Verified email at uwaterloo.ca
Title
Cited by
Cited by
Year
Comparing user-dependent and user-independent training of CNN for SSVEP BCI
A Ravi, NH Beni, J Manuel, N Jiang
Journal of neural engineering 17 (2), 026028, 2020
952020
Continuous force decoding from local field potentials of the primary motor cortex in freely moving rats
A Khorasani, N Heydari Beni, V Shalchyan, MR Daliri
Scientific reports 6 (1), 35238, 2016
482016
User-independent SSVEP BCI using complex FFT features and CNN classification
A Ravi, N Heydari, N Jiang
2019 IEEE International Conference on Systems, Man and Cybernetics (SMC …, 2019
182019
Force decoding using local field potentials in primary motor cortex: PLS or Kalman filter regression?
N Heydari Beni, R Foodeh, V Shalchyan, MR Daliri
Physical and Engineering Sciences in Medicine 43, 175-186, 2020
122020
A convolutional neural network for enhancing the detection of SSVEP in the presence of competing stimuli
A Ravi, J Manuel, N Heydari, N Jiang
2019 41st Annual International Conference of the IEEE Engineering in …, 2019
112019
Heartbeat detection from single-lead ECG contaminated with simulated EMG at different intensity levels: A comparative study
NH Beni, N Jiang
Biomedical Signal Processing and Control 83, 104612, 2023
82023
Heartbeat detection from the upper arm using an SWT-based zero-phase filter bank incorporated with a voting Scheme
NH Beni, N Jiang
2022 44th Annual International Conference of the IEEE Engineering in …, 2022
42022
Heartbeat detection from high-density EMG electrodes on the upper arm at different EMG intensity levels using Zephlet
NH Beni, N Jiang
Computer Methods and Programs in Biomedicine 242, 107828, 2023
12023
Extracting ECG-based cardiac information from the upper arm
N Heydari Beni
University of Waterloo, 2023
2023
Heartbeat Detection from High-Density EMG Electrodes on the Upper Arm at Different EMG Intensity Levels Using Zephlet
N Heydari Beni, N Jiang
Available at SSRN 4221592, 0
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