Research Output per year
Personal profile
General
I am a Biomedical Engineer with strong interests concerning the areas of medical instrumentation and data processing. During my career, I worked in Industry and Academia gaining knowledge and insights from both worlds.
Research Interests
My research has always been focussed on understanding how biomedical engineering can help to improve clinical outcomes. I am developing techniques and technologies that occur in the human body for a wide range of applications: from wearable medical devices to rehabilitation treatments, from biometric recognition to driver safety.
Currently, I am investigating the use of proprioceptive stimulation (Whole Body and Focal Vibration) in healthy and pathological subjects with regards to motor functions and balance control.
Qualifications
Aston University - 12-2015
PGcPP (Higher Education)
University of Bologna, Bologna, Italy -17-04-2009
PhD in Bioengineering
Universita degli Studi di Napoli Federico II, Napoli Italy 21-03-2005
Electronic Engineering (Hons)
Responsibilities
Leader of the Biomedical Engineering programmes
Member of the AUEA Board of Directors
PhD Supervision
Ongoing
- Miss Isotta Rigoni
- Mr Fabio Barollo
- Mr Matthew Fenech
Completed
- Dr Francesco Menduni
- Dr Karl Obszanski
Teaching Activity
Foundation Year Modules
- Senses and Perception (LHS0SP)
Undergraduate Modules
- Human Anatomy and Physiology for Engineers
- Biomedical Engineering Project 2
Contact Details
Email:a.fratini@aston.ac.uk
Tel: +44 (0)121 204 3010
Education/Academic qualification
PhD
1 Jan 2006 → 31 Dec 2008
External positions
Chair of the Biomedical Engineering Division Centre in Birmingham
1 Jan 2019 → …Fingerprint Dive into the research topics where Antonio Fratini is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
Muscle
Engineering & Materials Science
Vibration
Medicine & Life Sciences
Eye movements
Engineering & Materials Science
Congenital Nystagmus
Medicine & Life Sciences
Electrocardiography
Engineering & Materials Science
Electromyography
Medicine & Life Sciences
Muscles
Medicine & Life Sciences
Biometrics
Engineering & Materials Science
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Research Output 2008 2019
Cortical recruitment and functional dynamics in postural control adaptation and habituation during vibratory proprioceptive stimulation
Edmunds, K. J., Petersen, H., Hassan, M., Yassine, S., Olivieri, A., Barollo, F., Friðriksdóttir, R., Edmunds, P., Gíslason, M., Fratini, A. & Gargiulo, P., 13 Mar 2019, In : Journal of Neural Engineering. 16, 2, 026037.Research output: Contribution to journal › Article
Electroencephalography
Brain
Functional assessment
Chemical activation
Vibrators
Experimental Study to Improve “Federica” Prosthetic Hand and Its Control System
Esposito, D., Cosenza, C., Gargiulo, G. D., Andreozzi, E., Niola, V., Fratini, A., D’addio, G. & Bifulco, P., 25 Sep 2019, MEDICON 2019: XV Mediterranean Conference on Medical and Biological Engineering and Computing . Springer, p. 586-593 (XV Mediterranean Conference on Medical and Biological Engineering and Computing – MEDICON 2019; vol. 76).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Prosthetics
Control systems
Microcontrollers
Muscle
Sensors
A Contactless Sensor for Pacemaker Pulse Detection: Design Hints and Performance Assessment
Andreozzi, E., Gargiulo, G. D., Fratini, A., Esposito, D. & Bifulco, P., 18 Aug 2018, In : Sensors. 18, 8, 2715.Research output: Contribution to journal › Article
Open Access
File
Pacemakers
Pulse
coils
Electromagnetic Phenomena
sensors
A Piezoresistive Sensor to Measure Muscle Contraction and Mechanomyography
Esposito, D., Andreozzi, E., Fratini, A., Gargiulo, G. D., Savino, S., Niola, V. & Bifulco, P., 7 Aug 2018, In : Sensors. 18, 8, 2553.Research output: Contribution to journal › Article
Open Access
File
muscular function
Electromyography
Muscle Contraction
Resistors
Muscle
FCLAB: An EEGLAB module for performing functional connectivity analysis on single-subject EEG data
Pezoulas, V. C., Athanasiou, A., Nolte, G., Zervakis, M. E., Fratini, A., Fotiandis, D. & Klados, M., 9 Apr 2018, 2018 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI). IEEE, p. 96-99Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access
File
Functional analysis
Electroencephalography
Brain
Statistical methods
Visualization