We have worked with leading organizations,
gathering experience in custom R&D and OEM
as well on the development of market-ready products.
PLUX developed for DDME, an US based med-tech company, a solution to monitor associated episodes of nocturnal bruxism and sleep apnea. The solution consists on a set of EMG, SpO2, HR, accelerometer and audio sensors, plus a mobile app for Android that does both data collection, and signal processing, and a cloud solution for dentists to access patient reports. The solution branded as GEMPRO is currently marketed in the US.
During the scope of this project, Plux has developed
At the request of Intel PLUX developed a proof-of-concept for a wrist-worn hands-free controller for mobile or PC devices using electromyographic signals. (watch video)
PLUX was selected by Vodafone Foundation to co-develop a telemonitoring system for long term oxygen therapy patients, through which doctors can remotely and accurately adjust the patients’ therapy, improving their quality of life.
Charles River Analytics
PLUX developed for the Boston based R&D company Charles River Analytics a custom head-worn fNIRS (functional near infrared spectroscopy sensor) that reads the oxygen from the cortex and of a wearable arm band with SpO2, EDA (on the arm), motion, and temperature sensors to analyse neurological performance. This solution allowed CRA, that developed a specific software solution, to detect an individual cognitive worload that was applied in multiple fields in an unobtrusive sensor solution.
PLUX developed for the Portugal national high-yield olympic preparation center a customized solution to measure Jump, velocity-power & force data analysis protocols, that allow sports technicians to rapidly evaluate and diagnose the physical conditions of their athletes.
PLUX developed a Respiration sensor for drowsiness detection in professional drivers with FICOSA, a tier-1 auto components manufacturer.
The TexBoost - less Commodities more Specialties mobilizing project is a structuring project of the Textile Cluster: Technology and Fashion, which aims to include a set of R&D initiatives with a strong collective character and high inductor and demonstrator effect, with the central involvement of companies of the textile and clothing sector, but also of other complementary sectors of the economy.
H2020 #24523, TexBOOST
PROTEIN is a research initiative led by a consortium of European public- and private-sector organizations working to promote health and wellbeing. By bringing together experts from across Europe, PROTEIN will develop tools using the latest communications technologies and machine learning strategies to provide personalized nutrition and physical activity support to EU citizens. PROTEIN has received funding from the European Union’s Horizon 2020 Research and Innovation programme under grant agreement No 817732.
H2020 #817732, PROTEIN
An interdisciplinary team of international researchers met last month in Lancaster (UK) under the European H2020 AffecTech project to lead the way towards new affective health disorder technologies that will lower health costs and help patients' struggle.
H2020 #722022, AFFECTECH
CITIUS, ALTIUS, SANIUS
Citius Altius Sanius means faster, higher, healthier and this project will focus on preventing sports injuries. It will do this by focussing on three lines of research: wearable sensor technology integrated into sports clothing and advanced cameras, data processing forging a link between levels of exertion and potential injuries and feedback tailored to the individual athlete providing individual advice on training.
Netherlands Organisation for Scientific Research (NWO) TUDelft
Biosignal acquisition tools that multiple stakeholders can use for integrated care of chronic patients in acute phases. The project aims to develop and test an integrated care model, patient-centred, supported by the use of advanced ICT systems and services that allow the monitoring and care of older chronic patients in acute phases at home.
H2020 #690367, POLYCARE
Intelligent Parkinson Early Detection Guiding Novel Supportive Interventions. i-PROGNOSIS aims to develop early and unobtrusive Parkinson’s chronic and progressive disease detection tests, based on the interaction of users with their everyday technological devices, as well as to raise awareness on the disease and self-health management.
H2020 #690494, iPROGNOSIS
Realtime Adaptive Prototyping for Industrial Design of Multimodal Interactive eXpressive technology. The RAPID-MIX consortium accelerates the production of the next generation of Multimodal Interactive eXpressive (MIX) technologies by producing hardware and software tools and putting them in the hands of users and makers.
H2020 #644862, RAPID-MIX
A rehabilitation suite that can be taken home in order to improve the motivation and adherence to complementary sessions of physiotherapy at home by using exercise interactive video games (exergames) and wearables.
This project intends to improve the efficiency and cost-efficacy of physiotherapy and rehabilitation processes by allowing to complement the sessions at the clinics with the execution of some exercises at home.
The Do IT Project is aimed at creating and then multiplying within the national health value chain a series of "ecosystems" based on strong and functional partnerships between organizations with complementary activities and skills in this field - namely, companies , entities of the scientific and technological system, and hospitals - that promote an effective transfer, valorization and exploitation of the results generated through R & TD activities. These "ecosystems", as they are characterized by strong technological content and innovation, will play a decisive role in meeting the objective of raising the national value chain of Health to new heights of competitiveness on a global scale.
Do IT Project HealthPortugal
wiCardioResp offers a way to monitor, at distance, patients that are subjected to cardio-respiratory ambulatory monitoring. It was thought to be used in the comfort of home, through a set of handheld devices and wireless networks which allow great flexibility and freedom. wiCardioResp is the combination of a non-invasive ventilation device (NIV) and a kit of wireless sensor modules. These elements communicate with a mobile device via Bluetooth® to send the acquired data to a remote system, providing a continuous monitoring of the patient.
Augmented Human Assistance using big data algorithms for the development of Robotic Assistance Platforms designed to support healthy lifestyles. A new generation of ICT based solutions is being developed to promote active aging, prevent sedentarism and find new tools to support the large populations of patients that suffer chronic conditions as result of aging.
FCT CMUP-ERI/HCI/0046/2013, AHA
The main goal of ABC - Augmented BNCI Communication, is to provide an effective and efficient communication channel for people with Dyskinetic Cerebral Palsy based on Brain/Neural Computer Interface technologies, augmenting their interaction and emotions expression capabilities; improving their social inclusion, independent living and quality of life.
FP7 #287774, ABC
Heart and Respiration In-car Embedded Nonintrusive Sensors. Wouldn't you want an alarm to go off if you fall asleep driving? This is possible by monitoring cardiac and respiratory rhythms. The objective of the HARKEN project is to measure both variables in a nonintrusive manner in a environment of vibrations and user movements, by means of smart materials embedded in the seat cover and the safety belt of the car.
FP7 #286265, HARKEN
Major depression is currently the fourth disorder worldwide in terms of disease burden, and is expected to be the disorder with the highest disease burden in high-income countries by 2030. The consortium will develop an User-friendly ICT Tools for use in primary care that will further improve patient outcomes and increase access to treatment.
FP7 #248778, ICT4Depression
Multibody Dynamics and Control of Hybrid Active Orthoses
FCT MIT-Pt/BS-HHMS/0042/2008 DACHOR
This project aims at determining the role of emotions on the learning process and the way in which these can influence the results of the process. The goal is to develop an Human-computer interaction device (which is envisioned as a computer mouse) that measures multiple electrophysiological signals from the children and simultaneously allows the interaction with a multimedia Web application with games and educational exercises.
QREN #3475 IT - Affective Mouse
Independent Living with Health, Comfort, and Safety. Ambient Assisted Living offers the required technologies that will allow and autonomous (by easy access to home automation and devices through a common and simplified interface), and secure living (by permanently monitoring vital signs and anomalous situations as falls, flooding, among others).
QREN #3494 Meticube
There is an urgent need to find solutions that allow to extend the time people can live in their preferred environment by increasing their autonomy, self-confidence and mobility. AAL4ALL presents an idea for an answer through the development of an ecosystem of products and services for Ambient Assisted Living (AAL) associated to a business model and validated through large scale trial.
Assuming the internet as a primary means of communication, We.Can will use ICT technologies and tools that respond to users' needs to communicate and exchange information. It will integrate a component dedicated to the development of a virtual network of sharing and collaboration. The We.Can platform will help users combat isolation and loneliness, promote social inclusion as well as continuous improvement of health care practices through daily user support and monitoring.
COMPETE: 13842 We.Can
Living Usability Lab – LUL (Living Usability Lab for Next Generation Networks). Other project partners include Microsoft, INESC Porto and the University of Aveiro in Portugal. The project, which is active in the field of live usability testing, focuses on the development of technologies and services to support healthy, productive and active senior citizens. The campaign “Donate your Voice” is part of the LUL project and aims to create a database with samples of the voices of senior citizens in order to develop a voice recognition system. The Living Usability Lab is a collaborative R&D Project joining industry and universities and plays an active role in the use of innovative technology.
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