Tamás Karácsony, a researcher at INESC TEC, received the award for Innovation in Artificial Intelligence (AI) at the IEEE AI Research Hub competition - organised by IEEE Entrepreneurship and the IEEE Region 8 Entrepreneurship Committee -; the event took place in Dubai, within the scope of GITEX Global 2024. Considered the largest technology and start-up fair in the world, GITEX Global 2024 featured a presentation by Tamás Karácsony about his research to classify epileptic seizures filmed with AI-powered 3D video technology. This pioneering work carried out at INESC TEC reinforces the role that the Institute has played in the connection between AI and health.
24th October 2024
BioengineeringIn 2014, INESC TEC decided to invest in a new area of research: biomedical engineering. In that sense, a new research Centre was established in the Institute - which, over the past decade, has been advancing national and international research in this domain.
18th July 2024
BioengineeringAt the PROTEGER24 conference – promoted by the Portuguese Security Association (APSEI) and considered the largest at the national level in the Security sector -, INESC TEC presented the work developed in Quantified Occupational Health, in particular, the technological solutions it has been developing for the psychophysiological monitoring of professionals like firefighters, police officers, air traffic controllers, military or even agricultural workers.
22nd April 2024
BioengineeringResearchers from Portugal, Brazil, the United Kingdom, and the United States of America joined efforts to develop and test a new heart sounds analysis method for the fast and non-invasive identification of pulmonary hypertension. The results of this research work, recently published in the IEEE Access journal, show that the path to a smarter diagnosis of this disease is open.
22nd March 2024
InstitutionalThe scientific work "Studying the Influence of Multisensory Stimuli on a Firefighting Training Virtual Environment" won the 13th edition of the Professor José Luís Encarnação award. It is the sixth time that a group of INESC TEC researchers won this annual award.
17th January 2024
InstitutionalIn collaboration with Carnegie Mellon University Africa (CMU Africa), INESC TEC is collecting heart-related data in Rwanda, towards developing algorithms that allow - using multimodal auscultation - the screening of cardiovascular diseases related to rheumatic fever.
28th September 2023
InstitutionalIt is a wearable system that takes between 10-15 seconds to be placed on a person, allowing to monitor their vital signs and health severity. The new solution, developed by INESC TEC in collaboration with Xenia Reply and the Institute of Entrepreneurship Development (iED), will allow Emergency Medical Service (EMS) professionals to carry out real-time triage assessments in disaster scenarios – or other situations -, and to monitor victims from the onset until reaching the hospital.
07th September 2023
InstitutionalINESC TEC participated in the first exercise for the testing of technological solutions with potential military application in Portugal. The first edition of ARmy Technological EXperimentation (ARTEX 23) was promoted by the Army’s Experimentation & Technological Modernization Centre (CEMTEx) and took place from May 22 to June 2, at the Santa Margarida Military Camp (Constância).
11th July 2023
InstitutionalThe AgWearCare project focuses on researching and developing a monitoring system aimed at the agroforestry sector. The main objective is the analysis of metrics that support the management of human resources, thus supporting decision-making processes - in terms of well-being and productivity.
01st February 2023
InstitutionalA team of researchers from INESC TEC and the University of Munich tested a solution to classify seizures, the main symptom of epilepsy, using infrared radar and 3D videos. The study presents an innovative approach, which is the first to consider near-real time classification from two second samples, showing the feasibility of a system to support diagnosis and monitoring process (based on action recognition) that uses deep learning; it allows distinguishing between frontal and temporal lobes seizures (the two most common classes of epilepsy), or non-epileptic events. The results of this research were recently published by Nature Scientific Reports.
04th January 2023
InstitutionalThe project, focusing on improving the effectiveness of deep brain stimulation (DBS) therapy with patients suffering from Parkinson's disease, using personalised electrophysiological biomarkers and stimulation based on objective quantitative assessments, features a team from INESC TEC; the attribution of the Mantero Belard Award took place at the 10th edition of the Santa Casa Neurosciences Awards.
30th November 2022
InstitutionalPatients with Parkinson’s disease will be able to monitor the symptoms associated with the disease and send data, in real time, to the healthcare professionals who follow them – from home, and via their mobile phones. This innovation in the health area is only possible thanks to the iHandUapp system, a mobile technology developed by NESC TEC; it also features a web platform that aggregates the data and provides healthcare professionals with a record of the clinical evolution of patients.
30th June 2022
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