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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 200631 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 journalArticle

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 proceedingConference 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 journalArticle

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 journalArticle

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. 96-99

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
File
Functional analysis
Electroencephalography
Brain
Statistical methods
Visualization