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Hesam Akbari

As seen in: Iranian Journal of Public Health
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Articles

From Segment-Level Discrimination to Unseen-Subject Transfer in Motor Imagery EEG: A Subject-Wise Study of a GAF–PLV Parallel CNN

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By Renjie Lv, Hesam Akbari, Muhammad Sadiq
| preprints.org
You are already at the latest version Deep learning for motor imagery electroencephalography (MI-EEG) has repeatedly reported near-ceiling accuracy on public benchmarks. However, many studies use data partitioning strategies in which windows, images, or pooled samples from the same subject can influence both model development and evaluation, so the resulting numbers do not answer the stronger question of cross-subject generalization.
Open in Who Shared Issue with article?

Correlation between Obesity and Risk Factors of Cardiovascular Diseases in Military Personnel

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By Mostafa Eghbalian, Habibeh Nasab, Mazyar Karamali, Hossein Zahiri, Mehdi Raei, Hesam Akbari, Mojtaba Norozi, Mousa Imani
| Iranian Journal of Public Health
1. Slavin SD, Khera R, Zafar SY, et al (2021). Financial burden, distress, and toxicity in cardiovascular disease. Am Heart J, 238:75-84. 2. Zhao D (2021). Epidemiological features of cardiovascular disease in Asia. JACC, 1(1):1-13. 3. Fahimfar N, Khalili D, Sepanlou SG, et al (2018). Cardiovascular mortality in a Western Asian country: results from the Iran Cohort Consortium. BMJ Open, 8(7):e020303. 4. Ryder S, Fox K, Rane P, et al (2019).
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