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João Valente, Ph.D

Electronics and Computer Engineering

Luís Marques

Data Architecture and Full-Stack Dev.

Veronika Kozlova, Ph.D

Chemistry

Telmo Pereira, Ph.D

Health and Bio-signals
Instituto Politécnico de Coimbra

Hugo Silva, Ph.D

Machine Learning and Biomedical Devices
Instituto de Telecomunicações

Cláudia Costa, Ph.D

Marketing and Innovation
Universidade Católica Lisboa

Hugo Almeida, Ph.D

Consumer Behavior
Universidade de Aveiro

Ernesto Vilar, Ph.D

UX, Ergonomics and Product Design
Universidade da Beira Interior

Francisco Rebelo, Ph.D

Virtual Reality and Emotions
Faculdade de Arquitetura de Lisboa

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WHAT PROBLEM ARE WE SOLVING?

e-CoVig aims to implement a low-cost solution for monitoring a large number of subjects in COVID-19 quarantine.

The system couples a cloud-based eHealth platform for collection, management and visualization of physiological and clinical data, with a smartphone-based ubiquitous system for acquiring COVID-19 symptomatic measurements (pulse oximetry, temperature, heart rate and respiration).

HOW IT WORKS?

Patients undergoing e-CoVig monitoring are assigned with an unique QR code that can be used across the different components of the system (i.e. mobile and web apps).

The mobile app is installed either by the patient, informal carer, or healthcare professional, and serves as the primary data collection tool.

Qualitative assessment of the symptoms is performed periodically using an in-app measurement diary; self-report questionnaires enable the recording of other relevant clinical data to support the characterization of the pathology.

The mobile app is installed either by the patient, informal carer, or healthcare professional, and serves as the primary data collection tool.

WHAT TECHNOLOGIES ARE WE USING?

Our system is centered around a the cross-platform mobile app, and uses the BrainAnswer platform for the cloud storage and analytics backend, as well as for the web-based patient management portal that healthcare professionals can access.

For collecting physiological data, we use as many embedded sensors of the mobile phone as possible. The camera is used for Photoplethysmography (PPG) data acquisition, from which heart rate and heart rate variability indicators can be derived. The microphone is used to record audio snippets, with the purpose of detecting cough and periodically monitoring respiratory activity.

Optical Character Recognition (OCR) is used to automate in-app insertion of the readings obtained with standard household devices, namely thermometer, blood pressure monitor, and/or oxygen saturation level (SpO2) meter.

Given that most household devices only provide momentary readings, a purpose-built specialized wearable device with wireless connectivity, has been created within the project, for dense recording of SpO2, heart rate, and temperature data. This device can be deployed in large volumes at a comparatively low cost.

WHAT IS THE POTENTIAL IMPACT OF THE TECHNOLOGY?

We believe that it can greatly automate the interaction between the subjects and the national healthcare systems (NHS), reducing the risk of contamination, and to densify the monitoring process over time, by increasing the number of symptomatic measures.

The proposed system has the ability to streamline the simultaneous monitoring of a large number of subjects and generate automatic alerts.

The fact that it uses the mobile phone as primary multimodal integrated biomedical sensing tool is also quite disruptive, given that for subjects with a high degree of frailty and less proficient in modern technologies, other approaches may constitute more of a burden than a solution.

TEAM

João Sanches

Instituto de Sistemas e Robótica de Lisboa

Hugo Silva

Instituto de Telecomunicações

João Valente

Instituto Politécnico de Castelo Branco / BrainAnswer

Telmo Pereira

Instituto Politécnico de Coimbra

Luís Rosário

Faculdade de Medicina de Lisboa

Luís Marques

BrainAnswer

Afonso Raposo

Instituto Superior Técnico, Universidade de Lisboa

Vicente Garção

Instituto Superior Técnico, Universidade de Lisboa

Rafael Correia

Instituto Superior Técnico, Universidade de Lisboa

Rita Silva

Instituto Superior Técnico, Universidade de Lisboa

Francisco Melo

Instituto de Telecomunicações

Miguel Rocha

Instituto de Telecomunicações

Joana Pinto

Instituto de Telecomunicações

Inês Pinto

Instituto de Telecomunicações

José Gouveia

Instituto de Telecomunicações

Beatriz Almeida

BA Design

Osmiller Guimarães

East Atlantic Engineering

CONTACTS

João Sanches
jmrs@tecnico.ulisboa.pt
Hugo Silva
hsilva@lx.it.pt
Luís Rosário
lsrosario@medicina.ulisboa.pt
Telmo Pereira
telmo@estescoimbra.pt
João Valente
valente@ipcb.pt

ACKNOWLEDGMENTS

This work has been partially funded by the Portuguese National Science Foundation (FCT) under grant number 255_596880547 and by FCT/MCTES through national funds and when applicable co-funded EU funds under the project UIDB/EEA/50008/2020.

ABOUT MOBFOOD

MobFood is a Research and Development Project that reflects the intent of several agents of the agri-food sector to address the challenges faced by the Portuguese food industry as it strives to be more competitive.

The project aims to promote new growth strategies based on the sector’s technological and innovative capacities that will lead to new products, services, processes and technologies throughout the value chain. The project’s goals will be achieved by promoting the cooperation between enterprises and research institutions in the three main areas: Food Safety and Sustainability, Food for Health and Well-being and Quality and Safe Food Production. MobFood seeks to have a food industry that manages resources efficiently and is sustainable, interlinked, transparent, resilient, safe and consumer-centric.

The MobFood consortium is led by the Portuguese Agrofood Cluster, presided by PortugalFoods, and involves 43 entities representing the Portuguese Agri-food sector. MobFood has 7 major work-packages: By-products and efficient use of resources; Sustainable Packaging; Nutrition, Health and Well-being; Food Safety and Quality; Authenticity and Traceability; Logistics: Collaborative and Sustainable Food Supply Chain; Consumer: new evaluation technologies.

Further information on mobfood.pt .

ABOUT INNOACE

INNOACE is a project co-funded by the European Regional Development Fund (ERDF) through the Interreg V-A Spain-Portugal (POCTEP) 2014-2020 Programme, aimed at strengthening the business landscape, creating synergies among enterprises and R+D+i centres, carrying out transfer actions and the early validation of products and services through open innovation processes. Furthermore, INNOACE intends to foster the entrepreneur discovery process in key areas of smart specialisation of EUROACE (a group formed by the regions of Alentejo and Centro in Portugal and the Autonomous Region of Extremadura in Spain).

WHO

INNOACE is aimed at economic stakeholders who intervene in areas, strategic sectors and/or niches of opportunities which are shared by the three EUROACE regions.

To do so, the partners participating in INNOACE have analysed the RIS3 strategies (smart specialisation) in each region. And therefore, we know that sharing knowledge in areas such as agrofood, health, tourism, natural resources and the environment, and ICT can help us stand out and grow.

ACTIVITIES

ENTREPRENEUR DISCOVERY: By fostering structures and tools for technology-based entrepreneurism and knowledge transfer to enterprises in key areas of smart specialisation of EUROACE.
OPEN INNOVATION: By creating a favourable environment for collaboration between Knowledge Centres and Enterprises with R+D+i.
CO-KNOWLEDGE: By encouraging cooperation as part of the open innovation process, getting companies, knowledge centres and the facilitating technologies necessary involved to share knowledge and promote co-creation.

INOVATION

The INNOACE project aims to create an environment that is favourable to collaboration among knowledge-generation centres and companies in which cooperation among the three EUROACE regions within the open innovation process gets various economic stakeholders involved and incorporates the facilitating technologies needed to share knowledge.

Technical Office

Francisco Hinojal Juan
francisco.hinojalj@juntaex.es
Mercedes Pacheco Rodriguez
maria.pachecor@juntaex.es

Community manager

Santos Infante Guisado
santos.infante@fundecyt-pctex.es

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Technologies

Tools that provide insight into human behaviour

Heart

Solutions

A platform that enables collect and store synchronized data from multiple sources and analyze in an organized environment

Manage Your Studies

Synchronized Data

Advanced Previewer

Follow-up Reports

Advanced Study Creation

Solutions

Methodologies that predict customer preferences and behaviour

Product Performance

Ad Performance

UX/UI Performance

Physiological Data

Technologies

Tools that provide insight into human behaviour

Heart

Skin

Blood

Temperature

Respiration

Movement

Brain Activity

Eye Tracking

Questionnaires

Mouse Tracking

Projects

Great collaborations that produce great results

Expert Panel

Brilliant collaborators gathering expertise from all kind of different fields

João Valente, Ph.D

Luís Marques

Veronika Kozlova, Ph.D

Telmo Pereira, Ph.D

Hugo Silva, Ph.D

Cláudia Costa, Ph.D

Hugo Almeida, Ph.D

Ernesto Vilar, Ph.D

Francisco Rebelo, Ph.D

Contact Us

Do you have a burning question? Feel free to say something, we love to talk!