Intelligent Arrhythmia Detection and Classification Using ICA. - Asad Azemi; Vahid Reza Sabzevari; Morteza Khademi; Hossein Gholizade; Arman Kiani; Zeinab Alsadat Dastgheib (EMBC, 2006)

Application of fractal dimension on vestibular response signals for diagnosis of Parkinson's disease. - Zeinab Alsadat Dastgheib; Brian Lithgow; Zahra Moussavi (EMBC, 2011)

Vestibular spontaneous response as a potential signature for Parkinson's disease. - Zeinab Alsadat Dastgheib; Brian Lithgow; Zahra Moussavi (EMBC, 2012)

Diagnosis of Parkinson's disease using electrovestibulography. - Zeinab Alsadat Dastgheib; Brian Lithgow; Zahra Moussavi (Medical Biol. Eng. Comput., 2012)

Comparison of a new ad-hoc classification method with Support Vector Machine and ensemble classifiers for the diagnosis of Meniere's disease using EVestG signals. - Zeinab Alsadat Dastgheib; Omid Ranjbar Pouya; Brian Lithgow; Zahra Moussavi (CCECE, 2016)

Physiological separation of Alzheimer's disease and Alzheimer's disease with significant levels of cerebrovascular symptomology and healthy controls. - Brian John Lithgow; Zeinab Alsadat Dastgheib; Neda Anssari; Behzad Mansouri; Brian Blakley; Mehrangiz Ashiri; Zahra Moussavi (Medical Biol. Eng. Comput., 2021)

An unbiased algorithm for objective separation of Alzheimer's, Alzheimer's mixed with cerebrovascular symptomology, and healthy controls from one another using electrovestibulography (EVestG). - Zeinab Alsadat Dastgheib; Brian John Lithgow; Zahra Kazem Moussavi (Medical Biol. Eng. Comput., 2022)

Using principal component analysis to determine which vestibular stimuli provide best biomarkers for separating Alzheimer's from mixed Alzheimer's disease. - Sadegh Marzban; Zeinab Alsadat Dastgheib; Brian Lithgow; Zahra Moussavi (Medical Biol. Eng. Comput., 2025)