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He is a senior researcher at INESC TEC, where he works since 1998. Current research interests are the semantic sensor Web (IoT), geospatial semantic Web, service ecosystems and e-Science infrastructures.

From October 1996 to December 1997, he was an associate member of CERN - European
Laboratory for High Energy Physics, IT Division/Web Office.

He has participated in several European projects, namely GISEDI (FP4), MEDSI (FP6), CAALYX (FP6), ICT4Depression (FP7), E-COMPARED (FP7) and RECAP (H2020), mostly as responsible for the system's architecture and platform implementation or as technical coordinator.

He also participates in the implementation of the RAIA Observatory, C4G which is the Portuguese node of EPOS, in the EEA Grant STOP Depression, in the EEA Grant SeaBioData, in Interreg MarRisk and FCT iCare4Depression.





Predicting short term mood developments among depressed patients using adherence and ecological momentary assessment data

Mikus, A; Hoogendoorn, M; Rocha, A; Gama, J; Ruwaard, J; Riper, H;

Internet Interventions



Enriching Mental Health Mobile Assessment and Intervention with Situation Awareness

Teles, AS; Rocha, A; da Silva e Silva, FJDE; Lopes, JC; O'Sullivan, D; Van de Ven, P; Endler, M;


Current mobile devices allow the execution of sophisticated applications with the capacity for identifying the user situation, which can be helpful in treatments of mental disorders. In this paper, we present SituMan, a solution that provides situation awareness to MoodBuster, an ecological momentary assessment and intervention mobile application used to request self-assessments from patients in depression treatments. SituMan has a fuzzy inference engine to identify patient situations using context data gathered from the sensors embedded in mobile devices. Situations are specified jointly by the patient and mental health professional, and they can represent the patient's daily routine (e.g., "studying", "at work", "working out"). MoodBuster requests mental status self-assessments from patients at adequate moments using situation awareness. In addition, SituMan saves and displays patient situations in a summary, delivering them for consultation by mental health professionals. A first experimental evaluation was performed to assess the user satisfaction with the approaches to define and identify situations. This experiment showed that SituMan was well evaluated in both criteria. A second experiment was performed to assess the accuracy of the fuzzy engine to infer situations. Results from the second experiment showed that the fuzzy inference engine has a good accuracy to identify situations.


Innovations in health care services: The CAALYX system

Rocha, A; Martins, A; Freire Junior, JC; Boulos, MNK; Escriche Vicente, ME; Feld, R; van de Ven, P; Nelson, J; Bourke, A; OLaighin, G; Sdogati, C; Jobes, A; Narvaiza, L; Rodriguez Molinero, A;


Purpose: This paper describes proposed health care services innovations, provided by a system called CAALYX (Complete Ambient Assisted Living eXperiment). CAALYX aimed to provide healthcare innovation by extending the state-of-the-art in tele-healthcare, by focusing on increasing the confidence of elderly people living autonomously, by building on the knowledge base of the most common disorders and respective characteristic vital sign changes for this age group. Methods: A review of the state-of-the-art on health care services was carried out. Then, extensive research was conducted on the particular needs of the elderly in relation to home health services that, if offered to them, could improve their day life by giving them greater confidence and autonomy. To achieve this, we addressed issues associated with the gathering of clinical data and interpretation of these data, as well as possibilities of automatically triggering appropriate clinical measures. Considering this initial work we started the identification of initiatives, ongoing works and technologies that could be used for the development of the system. After that, the implementation of CAALYX was done. Findings: The innovation in CAALYX system considers three main areas of contribution: (i) The Roaming Monitoring System that is used to collect information on the well-being of the elderly users; (ii) The Home Monitoring System that is aimed at helping the elders independently living at home being implemented by a device (a personal computer or a set top box) that supports the connection of sensors and video cameras that may be used for monitoring and for interaction with the elder; (iii) The Central Care Service and Monitoring System that is implemented by a Caretaker System where attention and care services are provided to elders, where actors as Caretakers, Doctors and Relatives are logically linked to elders. Innovations in each of these areas are presented here. Conclusions: The ageing European society is placing an added burden on future generations, as the 'elderly-to-working-age-people' ratio is set to steadily increase in the future. Nowadays, quality of life and fitness allows for most older persons to have an active life well into their eighties. Furthermore, many older persons prefer to live in their own house and choose their own lifestyle. The CAALYX system can have a clear impact in increasing older persons' autonomy, by ensuring that they do not need to leave their preferred environment in order to be properly monitored and taken care of.


Innovative ICT solutions to improve treatment outcomes for depression: the ICT4Depression project

L. Warmerdam; H. Riper; M. Klein; P. van de Ven; Artur Rocha; Ricardo Henriques; E. Tousset; H. Silva; G. Andersson; P. Cuijpers

JSHTI - Journal of Studies in Health Technology , pp.339-343




Platform for monitoring and treat depression

José Pedro Alves Ornelas