EU Researchers Use Brainpower to Get Moving

European CommissionGrabbing a glass or typing an email: these are some everyday gestures that are not possible for people with serious physical impairments - even though they have the will and the brainpower to do so. EU-funded projects such as TOBI (Tools for Brain-Computer Interaction) are working on technologies that could greatly improve the quality of life of people such as 20-year-old Francesco or 53-year-old Jean-Luc. Brain-Computer Interaction has allowed them to regain control of paralysed limbs, surf the web and take 'virtual' walks with their thought.

"Participating in this project allowed me to see that I can still be useful to society," wrote 53-year-old Jean-Luc Geiser, who suffered a stroke which left him completely paralysed and unable to speak. Thanks to TOBI, Jean-Luc was able to communicate by typing email messages via a computer cursor controlled through his brain waves. 20-year-old Francesco Lollini was also happy to take part in the project: "I really like this kind of tests as I also love sci-fi films," he said.

In contrast to similar experiments which usually involved able-bodied patients or invasive brain implants, TOBI broke new ground by developing non-invasive prototypes directly tested by and with potential users.

"There are many people suffering from different levels of physical disability who cannot control their body but whose cognitive level is sufficiently high," said project coordinator José del R. Millán, a professor at the Ecole Polytechnique Fédérale de Lausanne.

TOBI involved at least three kinds of brain-to-computer dialogue which meant paralysed patients could communicate and even move.

The first involved sending brain signals to a computer cursor via electrodes attached to a cap worn on the head. Simply by thinking about what they wanted to type, patients could remotely control the computer cursor to surf the web and write emails and texts.

In the second experiment, patients sent brain signals to control a small robot with video, audio and obstacle-detection sensors. They could then use the robot to take a 'virtual' walk around the hospital or even hook up with loved ones in different places.

Other patients were able to regain control of their paralysed limbs just by thinking about moving them. This was done using computer software designed to detect a patient's intention to perform a certain movement. In some cases, intensive training and rehabilitation helped them to keep that control even after the electronics were removed.

The users became part of the research team. "We listened to the feedback of all the patients to correct design mistakes and made any changes right away. We also took into consideration the feedback of professional end users who worked with the patients in hospital," said Professor Millán.

The project ended last year and the different prototypes are still being fine-tuned. Some equipment is available for patients at clinics and hospitals which are TOBI partners.

"Altogether, this is proof of the degree of robustness and possibilities of today's brain-computer interaction (BCI) technology," said Professor Millán.

Projects such as TOBI represent a real hope for disabled people. "This should be their future, this should give them the chance to feel fulfilled," explained Claudia Menarini, Francesco's mother.

Vice-President of the European Commission Neelie Kroes, responsible for the Digital Agenda, said: "The EU is helping new innovations be an opportunity, not a barrier, for people with disabilities. Technologies can enable greater autonomy and social inclusion."

For further information, please visit:
http://www.tobi-project.org

Most Popular Now

Stepping Hill Hospital Announced as SPAR…

Stepping Hill Hospital, part of Stockport NHS Foundation Trust, has replaced its bedside units with state-of-the art devices running a full range of information, engagement, communications and productivity apps, to...

DMEA 2025: Digital Health Worldwide in B…

8 - 10 April 2025, Berlin, Germany. From the AI Act, to the potential of the European Health Data Space, to the power of patient data in Scandinavia - DMEA 2025...

Is AI in Medicine Playing Fair?

As artificial intelligence (AI) rapidly integrates into health care, a new study by researchers at the Icahn School of Medicine at Mount Sinai reveals that all generative AI models may...

New System for the Early Detection of Au…

A team from the Human-Tech Institute-Universitat Politècnica de València has developed a new system for the early detection of Autism Spectrum Disorder (ASD) using virtual reality and artificial intelligence. The...

Generative AI's Diagnostic Capabili…

The use of generative AI for diagnostics has attracted attention in the medical field and many research papers have been published on this topic. However, because the evaluation criteria were...

Diagnoses and Treatment Recommendations …

A new study led by Prof. Dan Zeltzer, a digital health expert from the Berglas School of Economics at Tel Aviv University, compared the quality of diagnostic and treatment recommendations...

AI Tool can Track Effectiveness of Multi…

A new artificial intelligence (AI) tool that can help interpret and assess how well treatments are working for patients with multiple sclerosis (MS) has been developed by UCL researchers. AI uses...

Surrey and Sussex Healthcare NHS Trust g…

Surrey and Sussex Healthcare NHS Trust has marked an important milestone in connecting busy radiologists across large parts of South East England, following the successful go live of Sectra's enterprise...

Dr Jason Broch Joins the Highland Market…

The Highland Marketing advisory board has welcomed a new member - Dr Jason Broch, a GP and director with a strong track record in the NHS and IT-enabled transformation. Dr Broch...

DMEA 2025 Ends with Record Attendance an…

8 - 10 April 2025, Berlin, Germany. DMEA 2025 came to a successful close with record attendance and an impressive program. 20,500 participants attended Europe's leading digital health event over the...

Multi-Resistance in Bacteria Predicted b…

An AI model trained on large amounts of genetic data can predict whether bacteria will become antibiotic-resistant. The new study shows that antibiotic resistance is more easily transmitted between genetically...

AI-Driven Smart Devices to Transform Hea…

AI-powered, internet-connected medical devices have the potential to revolutionise healthcare by enabling early disease detection, real-time patient monitoring, and personalised treatments, a new study suggests. They are already saving lives...