Hamed Azami
Affiliations: | Harvard University, Cambridge, MA, United States |
Area:
Biomedical signal processing, machine learningGoogle:
"Hamed Azami"Mean distance: (not calculated yet)
Parents
Sign in to add mentor| Saeid Sanei | grad student | ||
| Steven E. Arnold | post-doc | Harvard Medical School - Massachusetts General Hospital |
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Publications
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| Zandbagleh A, Miltiadous A, Sanei S, et al. (2024) Beta-to-Theta Entropy Ratio of EEG in Aging, Frontotemporal Dementia, and Alzheimer's Dementia. The American Journal of Geriatric Psychiatry : Official Journal of the American Association For Geriatric Psychiatry |
| Azami H, Moguilner S, Penagos H, et al. (2023) EEG Entropy in REM Sleep as a Physiologic Biomarker in Early Clinical Stages of Alzheimer's Disease. Journal of Alzheimer's Disease : Jad |
| Azami H, Chang Z, Arnold SE, et al. (2022) Detection of Oculomotor Dysmetria From Mobile Phone Video of the Horizontal Saccades Task Using Signal Processing and Machine Learning Approaches. Ieee Access : Practical Innovations, Open Solutions. 10: 34022-34031 |
| DesRuisseaux LA, Williams VJ, McManus AJ, et al. (2020) A pilot protocol to assess the feasibility of a virtual multiple crossover, randomized controlled trial design using methylphenidate in mild cognitive impairment. Trials. 21: 1016 |
| Azami H, Li P, Arnold SE, et al. (2019) Fuzzy Entropy Metrics for the Analysis of Biomedical Signals: Assessment and Comparison Ieee Access. 7: 104833-104847 |
| Azami H, Arnold SE, Sanei S, et al. (2019) Multiscale Fluctuation-Based Dispersion Entropy and Its Applications to Neurological Diseases Ieee Access. 7: 68718-68733 |
| Azami H, Escudero J, Fernandez A, et al. (2019) P2-405: AMPLITUDE- AND FLUCTUATION-BASED DISPERSION ENTROPY FOR THE ANALYSIS OF RESTING-STATE MAGNETOENCEPHALOGRAM IRREGULARITY IN MCI AND ALZHEIMER'S DISEASE PATIENTS Alzheimer's & Dementia. 15: P762-P762 |
| Azami H, Fernández A, Escudero J. (2017) Refined multiscale fuzzy entropy based on standard deviation for biomedical signal analysis. Medical & Biological Engineering & Computing |
| Azami H, Smith K, Escudero J. (2016) MEMD-enhanced multivariate fuzzy entropy for the evaluation of complexity in biomedical signals. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2016: 3761-3764 |
| Azami H, Smith K, Escudero J, et al. (2016) MEMD-enhanced multivariate fuzzy entropy for the evaluation of complexity in biomedical signals. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2016: 3761-3764 |