To create and employ non-invasive techniques of monitoring body signals.
History and Achievements
— Research on assesment of swallowing based on tracheal sounds analysis
— Research on hypernasality between cleft lip and palate patients using acoustic analysis of speech
— Research on Tracheal sound analysis for automatic detection of respiratory depression in adult patients during surgery under sedation
1- Golabbakhsh, M., Rajaei, A., Derakhshan, M., Sadri, S., Taheri, M., &Adibi, P. (2014). Automated Acoustic Analysis in Detection of Spontaneous Swallows in Parkinson’s Disease. Dysphagia, 29(5), 572-577.
2- Golabbakhsh, M., Abnavi, F., Kadkhodaei Elyaderani, M., Derakhshandeh, F., Khanlar, F., Rong, P., Kuehn D.P. (2017). Automatic Identification of Hypernasality in Normal and Cleft Lip and Palate Patients with Acoustic Analysis of Speech. The Journal of the Acoustical Society of America, 141 (2)
3- Esmaeili, N., Golabbakhsh, M., Makaremi, S,. Saghaei M,. Parviz, M., Rabbani, H.(2017). Tracheal sound analysis for automatic detection of respiratory depression in adult patients during cataract surgery under sedation
Open for Master’s students