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Dr. Sara Naftali is the Head of the School of Medical Engineering and the Head of the Master's Degree Program in Medical Engineering at Afeka, Tel Aviv Academic College of Engineering. Her educational background includes a BSc. in Physics and Astronomy, MSc. and Ph.D. in Biomedical Engineering at Tel Aviv University. Dr. Naftali joined Afeka in 2007, upon her return from a postdoctoral fellowship at the Technion, and became a faculty member in the School of Medical Engineering.
Dr. Naftali's research interests include finite element methods in biomechanics, bioflow, heat, and mass transfer. As well as, in the field of physiological signal processing, applying machine learning methods.
Seminar on research methods in physiological signal
Heat and Mass Transfer in Biological Systems
Sensors and Systems for Physiological Measurements
2022-2025, Ministry of Science and Technology, Asthma severity levels monitoring based on EEG signals using novel ordinal classification algorithms, Principal Investigator. A joint project with Anat Ratnovsky and Gonen Singer.
2017-2018, Rabin-Afeka, Epiretinal Membrane (ERM), Principal Investigator. A joint project with Rita Ehrlich and Assaf Gershoni.
2005-2006, The Lady Davis Fellowship Trust.
Articles in Refereed Journals
Volk, O., Ratnovsky, A., Naftali, S. and Singer, G., 2023. Classification of tracheal stenosis with asymmetric misclassification errors from EMG signals using an adaptive cost-sensitive learning method. Biomedical Signal Processing and Control, 85, p.104962.
Haba, R., Singer, G., Naftali, S., Kramer, M.R. and Ratnovsky, A., 2023. A remote and personalised novel approach for monitoring asthma severity levels from EEG signals utilizing classification algorithms. Expert Systems with Applications, 223, p.119799.
Naftali, S., Ashkenazi, Y.N. and Ratnovsky, A., 2022. A novel approach based on machine learning analysis of flow velocity waveforms to identify unseen abnormalities of the umbilical cord. Placenta, 127, pp.20-28.
Ratnovsky, A., Malayev, S., Ratnovsky, S., Naftali, S. and Rabin, N., 2021. EMG-based speech recognition using dimensionality reduction methods. Journal of Ambient Intelligence and Humanized Computing, pp.1-11.
Singer, G., Ratnovsky, A. and Naftali, S., Classification of severity of trachea stenosis from EEG signals using ordinal decision-tree based algorithms and ensemble-based ordinal and non-ordinal algorithms. Expert Systems with Applications, 173, p.114707.
Ratnovsky, A., Kusayev, E. and Naftali, S., Analysis of skeletal muscle performance using piezoelectric film sensors. Technology and Health Care, 26(2), pp.371-378.
Ratnovsky, A., Gino, O. and Naftali, S., The impact of breathing pattern and rate on inspiratory muscles activity. Technology and Health Care, 25(5), pp.823-830.
Ovadia-Blechman, Z., Muller, I. and Naftali, S., Medical Engineering Education based on the Spiral Approach. Int. J. Eng. Pedagog., 6(3), pp.32-36.
Ratnovsky, A., Regev, N., Wald, S., Kramer, M. and Naftali, S., Mechanical properties of different airway stents. Medical engineering & physics, 37(4), pp.408-415.
Elad, D., Naftali, S., Rosenfeld, M. and Wolf, M., 2006. Physical stresses at the air-wall interface of the human nasal cavity during breathing. Journal of applied physiology, 100(3), pp.1003-1010.
Elad, D., Naftali, S., Rosenfeld, M. and Wolf, M., 2006. Wall shear stresses in the normal and septal-deviated nose. Journal of Biomechanics, (39), p. S270.
Naftali, S., Rosenfeld, M., Wolf, M. and Elad, D., 2005. The air-conditioning capacity of the human nose. Annals of biomedical engineering, 33, pp.545-553.
Wolf, M., Naftali, S., Schroter, R.C. and Elad, D., 2004. Air-conditioning characteristics of the human nose. The Journal of Laryngology & Otology, 118(2), pp.87-92.
Naftali, S., Schroter, R.C., Shiner, R.J. and Elad, D., 1998. Transport phenomena in the human nasal cavity: a computational model. Annals of biomedical engineering, 26, pp.831-839.
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