Mohammad Firoozabadi

Tarbiat Modares University, Medical Physics, Faculty Member

Followers

198

Following

Co-authors

Public Views

{S.~Mohammad~P.~Firoozabadi}

received the B.Sc. Degree in electronics engineering from University of Tabriz, in 1987, the M.Sc. degree in electronics engineering from Amir-Kabir University of Technology, Tehran, in 1991, and the Ph.D. Degree in electrical engineering (biomedical engineering) from Tarbiat Modares University, Tehran, Iran, in1997.

His research and teaching interests include theory and application of bio-electromagnetics, bioelectric phenomena and electrophysiology, bio-instrumentation, and biological signal processing. Dr. Firoozabadi currently serves as a Professor of Biomedical Engineering , Deputy Dean of Medical Sciences Faculty at Tarbiat Modares University, and President of Iranian Society of Biomedical Engineering. He has published over 220 papers in peer reviewed journals and international conferences.

He has received many awards including the Razie second rank prize of ``Invention, Innovation, Novation Group'' from the Iranian National Research Center of Medical Sciences (NRCMS) for ``design and implementation of isolated heart pacing, data logger and the signals analyzer system,'' in 2004. He has also received the awards of ``Outstanding Iranian Student," in 1994 and ``Outstanding Student of Tarbiat Modarres University" in 1993 and 1994. He has been the co-recipient of International Khwarizmi Award of ``Outstanding Research Team" from the Iranian Research Organization for Science and Technology (IROST) for ``Tehran Cybernetic Arm'' project in 1990.

less

Beat Signer

Vrije Universiteit Brussel

Don Ross

University College Cork

David Seamon

Kansas State University

Amir Manbachi

Johns Hopkins University

Armando Marques-Guedes

UNL - New University of Lisbon

Vittorio Gallese

Università degli Studi di Parma (Italy)

Guillaume Dumas

Université de Montréal

Keith Laws

University of Hertfordshire

Fabio Cuzzolin

Oxford Brookes University

David Carmel

Victoria University of Wellington

InterestsView All (10)

Uploads

Papers by Mohammad Firoozabadi

A fast approximate method for predicting the behavior of auditory nerve fibers and the evoked compound action potential (ECAP) signal

Journal of Medical Signals & Sensors

Background: The goal of the current research is to develop a model based on computer simulations ... more Background: The goal of the current research is to develop a model based on computer simulations which describes both the behavior of the auditory nerve fibers and the cochlear implant system as a rehabilitation device. Methods: The approximate method was proposed as a low error and fast tool for predicting the behavior of auditory nerve fibers as well as the evoked compound action potential (ECAP) signal. In accurate methods every fiber is simulated; whereas, in approximate method information related to the response of every fiber and its characteristics such as the activation threshold of cochlear fibers are saved and interpolated to predict the behavior of a set of nerve fibers. Results: The approximate model can predict and analyze different stimulation techniques. Although precision is reduced to <1.66% of the accurate method, the required execution time for simulation is reduced by more than 98%. Conclusion: The amplitudes of the ECAP signal and the growth function were investigated by changing the parameters of the approximate model including geometrical parameters, electrical, and temporal parameters. In practice, an audiologist can tune the stimulation parameters to reach an effective restoration of the acoustic signal.

Effect Of Physical Contact (Hand-Holding) On Heart Rate Variability

Heart-s electric field can be measured anywhere on the surface of the body (ECG). When individual... more Heart-s electric field can be measured anywhere on the surface of the body (ECG). When individuals touch, one person-s ECG signal can be registered in other person-s EEG and elsewhere on his body. Now, the aim of this study was to test the hypothesis that physical contact (hand-holding) of two persons changes their heart rate variability. Subjects were sixteen healthy female (age: 20- 26) which divided into eight sets. In each sets, we had two friends that they passed intimacy test of J.sternberg. ECG of two subjects (each set) acquired for 5 minutes before hand-holding (as control group) and 5 minutes during they held their hands (as experimental group). Then heart rate variability signals were extracted from subjects' ECG and analyzed in linear feature space (time and frequency domain) and nonlinear feature space. Considering the results, we conclude that physical contact (hand-holding of two friends) increases parasympathetic activity, as indicate by increase SD1, SD1/SD2, HF...

Mohammad Firoozabadi

Uploads

Papers by Mohammad Firoozabadi

Log In