Dr Antonio Fratini is the new chair of the Institute of Mechanical Engineers Biomedical Engineering Division It is one of the largest group of professional biomedical engineers in the UK The specialism merges professional engineering with medical knowledge of the human body, such as artificial limbs and robotic surgery. An Aston University researcher has been given a leading role within the biomedical engineering sector.
Dr Antonio Fratini CEng MIMechE has been elected as the new chair of the Biomedical Engineering Division (BmED) of the Institution of Mechanical Engineers (IMechE), one of the largest groups of professional biomedical engineers in the UK.
The IMechE has around 115,000 members in 140 countries and has been active since 1847.
Biomedical engineering, also known as medical engineering or bioengineering, is the integration of engineering with medical knowledge to help tackle clinical problems and improve healthcare outcomes.
Dr Fratini previously served as chair of the Birmingham centre of the division for five years and as vice-chair of the division for one year.
His research includes responsible use of AI, 3D segmentation and anatomical modelling to improve surgical training and planning, motor functions and balance rehabilitation. He leads Aston University’s Engineering for Health Research Centre within the College of Engineering and Physical Sciences and has vast experience in the design, development and testing of new medical devices. Currently he is the University’s principal investigator for the West Midlands Health Tech Innovation Accelerator and he has a growing reputation in the UK and internationally within the biomedical engineering profession.
He said: “Biomedical engineering is continuously evolving and our graduates will create the future of health tech and med tech for more effective, sustainable, responsible and personalised healthcare.
“I am very honoured of this appointment. This three-year post will be a great opportunity to further develop the biomedical engineering profession worldwide and to show Aston University’s commitment to an inclusive, entrepreneurial and transformational impact within the field.”
Professor Helen Meese, outgoing chair of the division, said: “I am delighted to see Antonio take on the chair’s position. He has, over the years, contributed significantly to the growth of the Birmingham regional centre and has actively supported me throughout my tenure as chair. I know how passionate he is about our profession and will undoubtedly continue to drive the division forward over the next three years.”
Dr Frattini was presented with his new title on 20 June at the IMECHE HQ at 1 Birdcage Walk, London during the Institution’s technology strategy board meeting.
For media inquiries in relation to this release, contact Nicola Jones, Press and Communications Manager, on (+44) 7825 342091 or email: n.jones6@aston.ac.uk
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Researchers find mechanical stimulation could be used to help improve balance control The findings provide new information on whole-body vibration applications Paves the way for research on the interaction between the central nervous system and peripheral muscles. Mechanical vibrations could help improve our muscles and our balance control, according to research at Aston University.
Researchers in the College of Engineering and Physical Sciences have examined the effect of stimulation on muscle spindles which ‘speak’ to the central nervous system to help keep us upright and walk straight.
Their results provide new perspectives on whole-body vibration applications, paving the way for future research on the interaction between the central nervous system and the peripheral muscles.
The research could in future be applied to improve balance in older people and help reduce falls, this could be applied through either wearable devices or with a daily session of stimulation. Hip fractures alone account for 1.8 million hospital bed days and £1.1 billion in hospital costs every year, excluding the high cost of social care.
Another potential benefit of the research is that this type of stimulation could be applied to athletes to decrease their muscle reaction times.
The goal of the study was to find out if mechanical vibrations can improve the way our bodies process and react to small body oscillations.
Seventeen young male and female adult volunteers aged between 20 and 28 years old stood individually on platforms, similar to vibrating plates found in gyms, which caused leg muscle contractions. Calf muscles were targeted as the muscles whose action contribute the most to maintaining a stable upright posture.
The researchers stimulated their calves with a frequency of 30Hz and recorded four one-minute trials of undisturbed balance to take a baseline measure and compared the readings to measurements taken after the stimulation. After conducting the experiment, they found that their balance seemed to have improved.
The research, Sensorimotor recalibration of postural control strategies occurs after whole body vibration, was led by Dr Antonio Fratini, senior lecturer in mechanical, biomedical & design engineering, and PhD student Isotta Rigoni, and has been published in Scientific Reports – Nature.
Dr Fratini said: “We’re excited by our results as they could have a beneficial effect on the health and quality of life of a large number of people.
“Our results indicate that whole body vibration challenges balance at first, triggering a bigger effort to control the upright stance and shifting muscle modulation toward supraspinal control, resulting in a recalibration of muscle recruitment. The neuromuscular system seems to recover from such disruption and regain control over a longer time interval.”
“Indeed, while muscle recruitment and cortical effort appear unaltered over the long term, the balance seems not only restored but also improved, besides the still clearly affected calf muscles.”
For more information about our research or studying in the College of Engineering and Physical Sciences please visit our website.
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Biography
Dr Fratini's research is focused on understanding how the development and application of engineering technologies can help improve quality of life and clinical outcomes. His work integrates responsible use of AI in imaging and physiological data analysis, medical device design and innovation, aimed at translating engineering advances into tangible clinical and societal impact. With experience spanning both public and private sectors, Dr Fratini has cultivated a broad perspective on healthcare technology development, encompassing scientific approach, ethical and regulatory considerations, and translational potential.
He currently serves as Director of the Engineering for Health Research Centre at Aston University.
A central element of Dr Fratini’s research concerns medical data processing, including imaging, AI driven and semi-automatic segmentation, and computational modelling. His research group develops three‑dimensional anatomical models to support surgical training and planning, AI-based decision support systems (currently explored in congenital heart disease and myopia progression analysis) with the aim of improving procedural accuracy, individualising interventions, and advancing the integration of digital technologies into clinical pathways.
Complementing this work, Dr Fratini conducts research on proprioceptive stimulation—including whole‑body and focal vibration—to investigate mechanisms of motor function and balance control in both healthy and clinical populations. This research contributes to a broader understanding of brain–body connectivity and informs the development of therapeutic and rehabilitative strategies.
Areas of Expertise
Medical Device Design, Development & Testing
Responsible Use of AI in Healthcare
3D Segmentation & Anatomical Modelling for Surgical Training and Planning
Motor Functions & Balance Rehabilitation
Whole Body Vibration and Its Effects on Muscle Stimulation and Balance
Biosensing & Diagnostics (Instrumentation and Medical Devices)
Biomedical Signal & Image Processing (Imaging, Segmentation, Modelling)
Education
Aston University
PGcPP
Higher Education
2015
Università degli Studi di Napoli Federico II
PhD
2008
Università degli Studi di Napoli Federico II
Hons
Electronic Engineering
2005
Affiliations
Director, Engineering for Health Research Centre, Aston University
Chair, Biomedical Engineering Division - IMECHE, UK
Visiting Professor of Engineering, University of Rome - La Sapienza, Italy
Aston University scientists find mechanical stimulation could be used to prevent falls and strengthen muscles – research
Aston University online
2023-01-13
The research, Sensorimotor recalibration of postural control strategies occurs after whole body vibration, was led by Dr Antonio Fratini, senior lecturer in mechanical, biomedical & design engineering, and PhD student Isotta Rigoni, and has been published in Scientific Reports – Nature.
Dr Fratini said: “We’re excited by our results as they could have a beneficial effect on the health and quality of life of a large number of people.
Aston University researcher takes on leadership role within biomedical engineering
Aston University online
2024-06-06
An Aston University researcher has been given a leading role within the biomedical engineering sector.
Dr Antonio Fratini CEng MIMechE has been elected as the new chair of the Biomedical Engineering Division (BmED) of the Institution of Mechanical Engineers (IMechE), one of the largest groups of professional biomedical engineers in the UK.
Minister for Skills visits University of Birmingham for MedTech skills launch
Aston University online
2025-12-15
Baroness Jacqui Smith visited the Precision Health Technologies Accelerator (PHTA) based at the University of Birmingham to launch a new Higher Technical Qualification (HTQ) designed to tackle the UK’s growing MedTech skills shortage.
During her visit, the Minister met researchers, innovators and industry partners who have helped shape the qualification, which aims to address the projected 145,000-person skills gap expected across the MedTech sector by 2035.
Dr Antonio Fratini PhD SFHEA CEng MIMechE, Director of the Engineering for Health Research Centre at Aston University played a role in validating the qualification, drawing on his expertise in mechanical, biomedical and design engineering. Baroness Smith spoke to Dr Fratini about his research on medical instrumentation, physiological data processing and the development of diagnostic and biosensing devices.
DIGEST: Developing Insights into Gastro-intestinal Evaluation with non-invasive Sensing Technologies. A user-centric design exploration
Innovate UK Design Foundations Round 6
2025
West Midlands Health Tech Innovation Accelerator - extension,
UKRI
2025
Exploring the use of a novel device to assess gut health,
Ademen Ltd
2024
Develop capability for precision metrology using Optical Coherence Tomography (OCT), by exploiting novel calibration and image processing techniques to deliver an innovative range of devices for [...]
Innovate UK KTP with BG Research
2024
Data analysis and ED monitoring through machine and deep learning
Birmingham Women’s and Children's NHS Trust
2024
Aston Vice Chancellor Innovation Fellowship
Aston University
2023
Design and develoment of an accessory to reducing fall risks in toilets for disabled individuals
Birmingham Community Healthcare NHS Trust
2023
Medical image segmentation for the provision of digital three-dimensional models in a printing compatible format
Birmingham Women’s and Children's NHS Trust
2023
West Midlands Health Tech Innovation Accelerator (6D Bio)
UKRI
2023
Articles
New directions for preoperative planning: impact from emerging 3D technologies
Handbook of Surgical Planning and 3D Printing
2023
Digital technologies have become pervasive, and the medical field is not immune to their developments. This chapter presents a brief outline of the opportunities that three-dimensional representation, reconstruction, simulation, or enhancement of available information (namely, virtual reality and augmented reality) offer in the healthcare world. We focused on 3D modeling, 2D/3D visual replication, and superposition to the user’s field of view, together with their use in surgical training, preoperative planning, and their recent applications to surgical procedures. Attention is posed on reporting the most established approaches with associated benefits and limitations and to guide the reader to an overview of the current and further impact those may have on the medical field.
Sensorimotor recalibration of postural control strategies occurs after whole body vibration
Scientific Reports
2023
Efficient postural control results from an effective interplay between sensory feedbacks integration and muscle modulation and can be affected by ageing and neuromuscular injuries. With this study, we investigated the effect of whole-body vibratory stimulation on postural control strategies employed to maintain an upright posture. We explored both physiological and posturography metrics, through corticomuscular and intramuscular coherence, and muscle networks analyses. The stimulation disrupts balance in the short term, but leads to a greater contribution of cortical activity, necessary to modulate muscle activation via the formation of (new) synergies. We also observed a reconfiguration of muscle recruitment patterns that returned to pre-stimulation levels after few minutes, accompanied by a slight improvement of balance in the anterior–posterior direction. Our results suggest that, in the context of postural control, appropriate mechanical stimulation is capable of triggering a recalibration of the sensorimotor set and might offer new perspectives for motor re-education.
Characterisation of the transient mechanical response and the electromyographical activation of lower leg muscles in whole body vibration training
Scientific Reports
2022
The aim of this study is to characterise the transient mechanical response and the neuromuscular activation of lower limb muscles in subjects undergoing Whole Body Vibration (WBV) at different frequencies while holding two static postures, with focus on muscles involved in shaping postural responses. Twenty-five participants underwent WBV at 15, 20, 25 and 30 Hz while in hack squat or on fore feet. Surface electromyography and soft tissue accelerations were collected from Gastrocnemius Lateralis (GL), Soleus (SOL) and Tibialis Anterior (TA) muscles. Estimated displacement at muscle bellies revealed a pattern never highlighted before that differed across frequencies and postures (p
Cortical pathways during Postural Control: new insights from functional EEG source connectivity
IEEE Transactions on Neural Systems and Rehabilitation Engineering
2022
Postural control is a complex feedback system that relies on vast array of sensory inputs in order to maintain a stable upright stance. The brain cortex plays a crucial role in the processing of this information and in the elaboration of a successful adaptive strategy to external stimulation preventing loss of balance and falls. In the present work, the participants postural control system was challenged by disrupting the upright stance via a mechanical skeletal muscle vibration applied to the calves. The EEG source connectivity method was used to investigate the cortical response to the external stimulation and highlight the brain network primarily involved in high-level coordination of the postural control system. The cortical network reconfiguration was assessed during two experimental conditions of eyes open and eyes closed and the network flexibility (i.e. its dynamic reconfiguration over time) was correlated with the sample entropy of the stabilogram sway. The results highlight two different cortical strategies in the alpha band: the predominance of frontal lobe connections during open eyes and the strengthening of temporal-parietal network connections in the absence of visual cues. Furthermore, a high correlation emerges between the flexibility in the regions surrounding the right temporo-parietal junction and the sample entropy of the CoP sway, suggesting their centrality in the postural control system. These results open the possibility to employ network-based flexibility metrics as markers of a healthy postural control system, with implications in the diagnosis and treatment of postural impairing diseases.
Characterisation of the transient mechanical response and the electromyographical activation of lower leg muscles in whole body vibration training
Scientific Reports
2022
The aim of this study is to characterise the transient mechanical response and the neuromuscular activation of lower limb muscles in subjects undergoing Whole Body Vibration (WBV) at different frequencies while holding two static postures, with focus on muscles involved in shaping postural responses. Twenty-five participants underwent WBV at 15, 20, 25 and 30 Hz while in hack squat or on fore feet. Surface electromyography and soft tissue accelerations were collected from Gastrocnemius Lateralis (GL), Soleus (SOL) and Tibialis Anterior (TA) muscles. Estimated displacement at muscle bellies revealed a pattern never highlighted before that differed across frequencies and postures (p
Toward a priori noise characterization for real-time edge-aware denoising in fluoroscopic devices
Biomedical Engineering Online
2021
Low-dose X-ray images have become increasingly popular in the last decades, due to the need to guarantee the lowest reasonable patient’s exposure. Dose reduction causes a substantial increase of quantum noise, which needs to be suitably suppressed. In particular, real-time denoising is required to support common interventional fluoroscopy procedures. The knowledge of noise statistics provides precious information that helps to improve denoising performances, thus making noise estimation a crucial task for effective denoising strategies. Noise statistics depend on different factors, but are mainly influenced by the X-ray tube settings, which may vary even within the same procedure. This complicates real-time denoising, because noise estimation should be repeated after any changes in tube settings, which would be hardly feasible in practice. This work investigates the feasibility of an a priori characterization of noise for a single fluoroscopic device, which would obviate the need for inferring noise statics prior to each new images acquisition. The noise estimation algorithm used in this study was tested in silico to assess its accuracy and reliability. Then, real sequences were acquired by imaging two different X-ray phantoms via a commercial fluoroscopic device at various X-ray tube settings. Finally, noise estimation was performed to assess the matching of noise statistics inferred from two different sequences, acquired independently in the same operating conditions.