Gloria Cosoli


PostDoctoral Researche – ING-IND/12


Prof. Gian Marco Revel

Research Areas

Development of non-invasive measurement systems and techniques, with particular focus on measurement techniques for the evaluation of concrete durability (e.g. electrical impedance assessment); numerical simulations of electrical and thermal processes; non-invasive measurements of physiological parameters (also without contact); mechanical measurements for the characterization of electromedical devices; signal processing.

Capsule Bio

G. Cosoli was born in Chiaravalle (AN) in 1989. She received the M.S. degree in electronic engineering (cum laude) from the Università Politecnica delle Marche (UNIVPM) in 2013 and the Ph.D. degree in mechanical engineering from the same university in 2017.
From 2016 to date, she has been a Postdoctoral Research Fellow with the Department of Industrial Engineering and Mathematical Sciences (DIISM) of UNIVPM. 

Main publications
  1. Cosoli G., Scalise L. (2019) Accuracy and Metrological Characteristics of Wearable Devices: A Systematic Review. In: Andò B. et al. (eds) Sensors. CNS 2018. Lecture Notes in Electrical Engineering, vol 539. Springer, Cham
  2. Cosoli, G., Casacanditella, L., Tomasini, E. P., & Scalise, L. (2017, January). Heart Rate assessment by means of a novel approach applied to signals of different nature. In Journal of Physics: Conference Series (Vol. 778, No. 1, p. 012001). IOP Publishing.
  3. Cosoli, G., Scalise, L., Cerri, G., Russo, P., Tricarico, G., & Tomasini, E. P. (2017). Bioimpedancemetry for the assessment of periodontal tissue inflammation: a numerical feasibility study. Computer methods in biomechanics and biomedical engineering, 20(6), 682-690.
  4. Cosoli, G., Casacanditella, L., Tomasini, E. P., & Scalise, L. (2016). The non-contact measure of the heart rate variability by laser Doppler vibrometry: comparison with electrocardiography. Measurement Science and Technology, 27(6), 065701.
  5. Cosoli, G., Casacanditella, L., Pietroni, F., Calvaresi, A., Revel, G. M., & Scalise, L. (2015, May). A novel approach for features extraction in physiological signals. In 2015 IEEE International Symposium on Medical Measurements and Applications (MeMeA) Proceedings (pp. 380-385). IEEE.


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