In 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
It 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
INESC 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
The 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
A 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 2023Networked Intelligent Systems
The 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
Patients 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
InSignals Neurotech, a spin-off of INESC TEC, will start a set of clinical studies in European hospitals, in order to expand the application and use of technology for the quantification of motor symptoms related to neurodegenerative diseases, in particular Parkinson’s disease. In this sense, INESC TEC developed prototypes that can be used during deep brain stimulation (DBS) surgeries to assess the muscular stiffness of the wrist, one of the main symptoms of the disease.
30th May 2022
Elodie Lopes, INESC TEC researcher and PhD student of the Doctoral Program in Biomedical Engineering, received the award for best oral presentation at the 34th National Epileptology Congress, which took place on March 11 and 12 at Fundação Engenheiro António de Almeida (Porto), and gathered the scientific and medical community in the field of neurology.
07th April 2022
The spin-off inSignals Neurotech, dedicated to the development of medical devices for the quantification of motor symptoms of neurodegenerative diseases, in order to obtain better clinical results, received €100K through the INNOV-ID funding call - an initiative promoted by Portugal Ventures, focusing on the measures established by the Government to capitalise Portuguese companies during the pandemic.
26th March 2021
In the scientific article “Clinical 3-D Gait Assessment of Patients With Polyneuropathy Associated With Hereditary Transthyretin Amyloidosis”, published in Frontiers in Neurology, one of the most important journals in the area, the researchers analysed the gait parameters of different groups of patients with familial amyloid polyneuropathy, according to different stages of development.
18th December 2020
A team of researchers from INESC TEC’s Centre for Biomedical Engineering Research (C-BER) developed a computer-assisted diagnosis system, in partnership with radiologists from the Vila Nova de Gaia/Espinho hospital centre (CHVNGE) and the Northern Region Health Administration (ARS Norte).
14th December 2020
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