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Ourique de Morais, WagnerORCID iD iconorcid.org/0000-0001-6708-0816
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Publications (10 of 18) Show all publications
Pejner, N. M., Ourique de Morais, W., Lundström, J., Laurell, H. & Skärsäter, I. (2019). A Smart Home System for Information Sharing, Health Assessments, and Medication Self-Management for Older People: Protocol for a Mixed-Methods Study. JMIR Research Protocols, 8(4), Article ID e12447.
Open this publication in new window or tab >>A Smart Home System for Information Sharing, Health Assessments, and Medication Self-Management for Older People: Protocol for a Mixed-Methods Study
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2019 (English)In: JMIR Research Protocols, ISSN 1929-0748, E-ISSN 1929-0748, Vol. 8, no 4, article id e12447Article in journal (Refereed) Published
Abstract [en]

Background: Older adults often want to stay in a familiar place, such as their home, as they get older. This so-called aging in place, which may involve support from relatives or care professionals, can promote older people’s independence and well-being. The combination of aging and disease, however, can lead to complex medication regimes, and difficulties for care providers in correctly assessing the older person's health. In addition, the organization of the health care is fragmented, which makes it difficult for health professionals to encourage older people to participate in their care. It is also a challenge to perform adequate health assessment and appropriate communication between health care professionals.

Objective: The purpose of this paper is to describe the design for an integrated home-based system that can acquire and compile health-related evidence for guidance and information sharing among care providers and care receivers in order to support and promote medication self-management among older people.

Methods: The authors used a participatory design (PD) approach for this mixed-method project, which was divided into four phases: Phase I, Conceptualization, consisted of the conceptualization of a system to support medication self- management, objective health assessments, and communication between health care professionals. Phase II, Development of a System, consisted of building and bringing together the conceptualized systems from phase I. Phases III (pilot study) and IV (a full-scale study) are described briefly.

Results: Our participants in phase I were people who were involved in some way in the care of older adults, and included older adults themselves, relatives of older adults, care professionals, and industrial partners. With input from phase I participants, we identified two relevant concepts for promoting medication self-management, both of which related to systems that participants believed could provide guidance for the older adults themselves, relatives of older adults, and care professionals. The system will also encourage information sharing between care providers and care receivers. The first is the concept of the Intelligent Friendly Home (IAFH), defined as an integrated residential system that evolves to sense, reason and act in response to individual needs, preferences and behaviors as these change over time. The second concept is the MedOP system, a system that would be supported by the IAFH, and which consists of three related components: one that assess health behaviors, another that communicates health data, and a third that promotes medication self-management.

Conclusions: The participants in this project were older adults, relatives of older adults, care professionals, and our industrial partners. With input from the participants, we identified two main concepts that could comprise a system for health assessment, communication and medication self-management: the Intelligent Friendly Home (IAFH), and the MedOP system. These concepts will be tested in this study to determine whether they can facilitate and promote medication self-management in older people. © The authors. All rights reserved. 

Place, publisher, year, edition, pages
Toronto: J M I R Publications, Inc., 2019
Keywords
assessments, medication, mixed methods, older people, self-management, smart homes
National Category
Nursing
Identifiers
urn:nbn:se:hh:diva-39753 (URN)10.2196/12447 (DOI)000466496800024 ()31038459 (PubMedID)2-s2.0-85067859310 (Scopus ID)
Available from: 2019-06-13 Created: 2019-06-13 Last updated: 2019-09-04Bibliographically approved
Norell Pejner, M., Lundström, J., Ourique de Morais, W., Laurell, H., Isaksson, A., Stranne, F. & Skärsäter, I. (2017). Smart medication organizer – one way to promote self-management and safety in drug administration in elderly people. In: : . Paper presented at Medicinteknikdagarna 2017, Västerås, Sweden, 10-11 October, 2017.
Open this publication in new window or tab >>Smart medication organizer – one way to promote self-management and safety in drug administration in elderly people
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2017 (English)Conference paper, Oral presentation only (Refereed)
National Category
Medical Engineering Other Medical Engineering
Identifiers
urn:nbn:se:hh:diva-35738 (URN)
Conference
Medicinteknikdagarna 2017, Västerås, Sweden, 10-11 October, 2017
Available from: 2017-12-05 Created: 2017-12-05 Last updated: 2017-12-11Bibliographically approved
Lundström, J., Ourique de Morais, W., Menezes, M. L., Gabrielli, C., Bentes, J., Pinheiro Sant'Anna, A., . . . Nugent, C. (2016). Halmstad intelligent home - Capabilities and opportunities. In: Mobyen Uddin AhmedShahina BegumWasim Raad (Ed.), Internet of Things Technologies for HealthCare: Third International Conference, HealthyIoT 2016, Västerås, Sweden, October 18-19, 2016, Revised Selected Papers. Paper presented at 3rd International Conference on Internet of Things Technologies for HealthCare, HealthyIoT 2016, Västerås, Sweden, 18 October 2016 through 19 October, 2016 (pp. 9-15). Berlin: Springer Berlin/Heidelberg, 187
Open this publication in new window or tab >>Halmstad intelligent home - Capabilities and opportunities
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2016 (English)In: Internet of Things Technologies for HealthCare: Third International Conference, HealthyIoT 2016, Västerås, Sweden, October 18-19, 2016, Revised Selected Papers / [ed] Mobyen Uddin AhmedShahina BegumWasim Raad, Berlin: Springer Berlin/Heidelberg, 2016, Vol. 187, p. 9-15Conference paper, Published paper (Refereed)
Abstract [en]

Research on intelligent environments, such as smart homes, concerns the mechanisms that intelligently orchestrate the pervasive technical infrastructure in the environment. However, significant challenges are to build, configure, use and maintain these systems. Providing personalized services while preserving the privacy of the occupants is also difficult. As an approach to facilitate research in this area, this paper presents the Halmstad Intelligent Home and a novel approach for multioccupancy detection utilizing the presented environment. This paper also presents initial results and ongoing work. © ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2016.

Place, publisher, year, edition, pages
Berlin: Springer Berlin/Heidelberg, 2016
Series
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, ISSN 1867-8211 ; 187
Keywords
Intelligent environments, Multi-occupancy detection, Automation, Health care, Intelligent agents, Internet of things, Intelligent environment, Intelligent home, Occupancy detections, Personalized service, Smart homes, Technical infrastructure, Intelligent buildings
National Category
Computer and Information Sciences Computer Systems Human Aspects of ICT
Identifiers
urn:nbn:se:hh:diva-37786 (URN)10.1007/978-3-319-51234-1_2 (DOI)2-s2.0-85011263177 (Scopus ID)978-3-319-51233-4 (ISBN)
Conference
3rd International Conference on Internet of Things Technologies for HealthCare, HealthyIoT 2016, Västerås, Sweden, 18 October 2016 through 19 October, 2016
Available from: 2018-08-27 Created: 2018-08-27 Last updated: 2018-08-27Bibliographically approved
Lundström, J., Ourique de Morais, W. & Cooney, M. (2015). A Holistic Smart Home Demonstrator for Anomaly Detection and Response. In: 2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops): . Paper presented at SmartE: Closing the Loop – The 2nd IEEE PerCom Workshop on Smart Environments, St. Louis, Missouri, USA, March 23-27, 2015 (pp. 330-335). Piscataway, NJ: IEEE Press
Open this publication in new window or tab >>A Holistic Smart Home Demonstrator for Anomaly Detection and Response
2015 (English)In: 2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops), Piscataway, NJ: IEEE Press, 2015, p. 330-335Conference paper, Published paper (Refereed)
Abstract [en]

Applying machine learning methods in scenarios involving smart homes is a complex task. The many possible variations of sensors, feature representations, machine learning algorithms, middle-ware architectures, reasoning/decision schemes, and interactive strategies make research and development tasks non-trivial to solve.In this paper, the use of a portable, flexible and holistic smart home demonstrator is proposed to facilitate iterative development and the acquisition of feedback when testing in regard to the above-mentioned issues. Specifically, the focus in this paper is on scenarios involving anomaly detection and response. First a model for anomaly detection is trained with simulated data representing a priori knowledge pertaining to a person living in an apartment. Then a reasoning mechanism uses the trained model to infer and plan a reaction to deviating activities. Reactions are carried out by a mobile interactive robot to investigate if a detected anomaly constitutes a true emergency. The implemented demonstrator was able to detect and respond properly in 18 of 20 trials featuring normal and deviating activity patterns, suggesting the feasibility of the proposed approach for such scenarios. © IEEE 2015

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE Press, 2015
National Category
Signal Processing Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:hh:diva-27740 (URN)10.1109/PERCOMW.2015.7134058 (DOI)000380510900075 ()2-s2.0-84946061065 (Scopus ID)978-1-4799-8425-1 (ISBN)
Conference
SmartE: Closing the Loop – The 2nd IEEE PerCom Workshop on Smart Environments, St. Louis, Missouri, USA, March 23-27, 2015
Projects
SA3L, CAISR
Funder
Knowledge Foundation
Available from: 2015-05-26 Created: 2015-02-09 Last updated: 2018-03-22Bibliographically approved
Ourique de Morais, W. (2015). Architecting Smart Home Environments for Healthcare: A Database-Centric Approach. (Doctoral dissertation). Halmstad: Halmstad University Press
Open this publication in new window or tab >>Architecting Smart Home Environments for Healthcare: A Database-Centric Approach
2015 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

The development of system architectures and applications for smart homes and ambient assisted living has been the main activity of a number of academic and industrial research projects around the world. Existing system architectures for smart environments usually employ different architectural styles in a multi-layer logical architecture to support the integration and interoperation of heterogeneous hardware and software technologies, which are subsequently used to provide two major functionalities: monitoring and assistance. It is also usual among existing architectures that the database management system is the most common but the least exploited architectural component, existing in the periphery of the system and devoted exclusively for data storage and retrieval. However, database technology has advanced and matured considerably over the years, and, as a result, current database management systems can be and do more.

This thesis considers the hypothesis of several features of modern database management systems being employed to address functional (e.g. well-being and security monitoring, automated control, data processing) and non-functional (e.g. interoperability, extensibility, data security and privacy) requirements of smart environments, i.e. the database management system serves as a platform for smart environments. The scope of this thesis is therefore to investigate the possibility of using different features supported by database management systems to create a database-centric system architecture for the development of smart home environments and ambient assisted living. The thesis also investigates the development of applications for health monitoring and assistance: 1) a serious game for fall prevention that assists people in practicing Tai Chi at home, and 2) a non-intrusive home-based method for sleep assessment.

These features are explored in this thesis to address general functional aspects of smart environments, such as monitoring, processing, coordination and control of various types of events in a given environment. Extensibility and security features and cross-platform capabilities of database management systems are employed to accommodate non-functional, but still technical, properties of smart environments, including interoperability, extensibility, portability, scalability, security and privacy. Heterogeneous technologies are integrated into the system using programming language and platform independent software resource adapters. Interoperation among integrated technologies is mediated in an active database.

The feasibility of the proposed database-centric system architecture was pragmatically investigated with the development of a "smart bedroom'' demonstrator and with the implementation of a number of short-term and long-term types of services to support active aging, aging in place and ambient assisted living. In the proposed architecture, active in-database processing maintains sensitive data within the database. This increases data security and independence from external software applications for data analysis. Changes in the system are managed during runtime, which improves flexibility and avoids system downtime. The proposed system architecture was evaluated taking into account different application scenarios and heterogeneous computing platforms.

As a conclusion, modern database management systems support features that can be successfully employed in a database-centric system architecture to effectively and efficiently address functional and non-functional requirements of smart environments.

Place, publisher, year, edition, pages
Halmstad: Halmstad University Press, 2015. p. 50
Series
Halmstad University Dissertations ; 15
Keywords
Smart environments, system architectures, active databases, in-database processing, ambient assisted living
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:hh:diva-29227 (URN)978-91-87045-33-2 (ISBN)978-91-87045-32-5 (ISBN)
Public defence
2015-09-16, Wigforssalen, Visionen, Kristian IV:s väg 3, Halmstad, 13:00 (English)
Opponent
Supervisors
Funder
Knowledge Foundation
Available from: 2015-08-19 Created: 2015-08-18 Last updated: 2017-05-16Bibliographically approved
Ourique de Morais, W. & Wickström, N. (2015). Evaluation of Extensibility, Portability and Scalability in a Database-centric System Architecture for Smart Home Environments. Halmstad: Halmstad University
Open this publication in new window or tab >>Evaluation of Extensibility, Portability and Scalability in a Database-centric System Architecture for Smart Home Environments
2015 (English)Report (Refereed)
Abstract [en]

Advances in database technology allow modern database systems to serve as a platform for the development, deployment and management of smart home environments and ambient assisted living systems. This work investigates non-functional issues of a database-centric system architecture for smart home environments when: (i) extending the system with new functionalities other than data storage, such as on-line reactive behaviors and advanced processing of longitudinal information, (ii) porting the whole system to different operating systems on distinct hardware platforms, and (iii) scaling the system by incrementally adding new instances of a given functionality. The outcome of the evaluation is demonstrated, and analyzed, for three test functionalities on three heterogeneous computing platforms. As a contribution, this work can help developers in identifying which architectural components in the database-centric system architecture that may become performance bottlenecks when extending, porting and scaling the system.

Place, publisher, year, edition, pages
Halmstad: Halmstad University, 2015. p. 14
Keywords
database-centric architecture, smart environments, ambient assisted living, quality attributes
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:hh:diva-29141 (URN)
Available from: 2015-08-11 Created: 2015-08-11 Last updated: 2016-03-09Bibliographically approved
Ourique de Morais, W. & Wickström, N. (2014). A lightweight method for detecting sleep-related activities based on load sensing. In: SeGAH 2014: IEEE 3rd International Conference on Serious Games and Applications for Health. Paper presented at IEEE 3rd International Conference on Serious Games and Applications for Health (SeGAH 2014), Rio de Janeiro, Brazil, May 14-16, 2014. Red Hook, NY: Curran Associates, Inc., Article ID 7067080.
Open this publication in new window or tab >>A lightweight method for detecting sleep-related activities based on load sensing
2014 (English)In: SeGAH 2014: IEEE 3rd International Conference on Serious Games and Applications for Health, Red Hook, NY: Curran Associates, Inc., 2014, article id 7067080Conference paper, Published paper (Refereed)
Abstract [en]

Current practices in healthcare rely on expensive and labor-intensive procedures that are not adequate for future healthcare demands. Therefore, alternatives are required to complement or enhance healthcare services, both at clinical and home settings. Hospital and ordinary beds can be equipped with load cells to enable load sensing applications, such as for weight and sleep assessment. Beds with such functionalities represent a tangible alternative to expensive and obtrusive routines for sleep assessment, such as polysomnography. A finite-state machine is proposed as a lightweight on-line method to detect sleep-related activities, such as bed entrances and exits, awakenings, wakefulness, and sleep atonia. The proposed approach is evaluated with a dataset collected in real homes of older people receiving night-time home care services.

Place, publisher, year, edition, pages
Red Hook, NY: Curran Associates, Inc., 2014
Keywords
Healthcare technology, home monitoring, sensor-based monitoring systems, load sensing, sleep assessment, state machines, bed-exit alarms
National Category
Electrical Engineering, Electronic Engineering, Information Engineering Nursing
Identifiers
urn:nbn:se:hh:diva-26239 (URN)10.1109/SeGAH.2014.7067080 (DOI)000393517600011 ()2-s2.0-84988259056 (Scopus ID)978-1-4799-4823-9 (ISBN)
Conference
IEEE 3rd International Conference on Serious Games and Applications for Health (SeGAH 2014), Rio de Janeiro, Brazil, May 14-16, 2014
Available from: 2014-08-13 Created: 2014-08-13 Last updated: 2017-03-22Bibliographically approved
Ourique de Morais, W., Lundström, J. & Wickström, N. (2014). Active In-Database Processing to Support Ambient Assisted Living Systems. Sensors, 14(8), 14765-14785
Open this publication in new window or tab >>Active In-Database Processing to Support Ambient Assisted Living Systems
2014 (English)In: Sensors, ISSN 1424-8220, E-ISSN 1424-8220, Vol. 14, no 8, p. 14765-14785Article in journal (Refereed) Published
Abstract [en]

As an alternative to the existing software architectures that underpin the development of smart homes and ambient assisted living (AAL) systems, this work presents a database-centric architecture that takes advantage of active databases and in-database processing. Current platforms supporting AAL systems use database management systems (DBMSs) exclusively for data storage. Active databases employ database triggers to detect and react to events taking place inside or outside of the database. DBMSs can be extended with stored procedures and functions that enable in-database processing. This means that the data processing is integrated and performed within the DBMS. The feasibility and flexibility of the proposed approach were demonstrated with the implementation of three distinct AAL services. The active database was used to detect bed-exits and to discover common room transitions and deviations during the night. In-database machine learning methods were used to model early night behaviors. Consequently, active in-database processing avoids transferring sensitive data outside the database, and this improves performance, security and privacy. Furthermore, centralizing the computation into the DBMS facilitates code reuse, adaptation and maintenance. These are important system properties that take into account the evolving heterogeneity of users, their needs and the devices that are characteristic of smart homes and AAL systems. Therefore, DBMSs can provide capabilities to address requirements for scalability, security, privacy, dependability and personalization in applications of smart environments in healthcare.

Place, publisher, year, edition, pages
Basel: Multidisciplinary Digital Publishing Institute AG, 2014
Keywords
healthcare technology, smart homes, ambient assisted living, database management systems, active databases, in-database processing, data mining
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:hh:diva-26238 (URN)10.3390/s140814765 (DOI)000341499900073 ()2-s2.0-84939496768 (Scopus ID)
Note

This article belongs to the Special Issue Select Papers from UCAmI & IWAAL 2013 - the 7th International Conference on Ubiquitous Computing and Ambient Intelligence & the 5th International Workshop on Ambient Assisted Living (UCAmI & IWAAL 2013: Pervasive Sensing Solutions

Available from: 2014-08-13 Created: 2014-08-13 Last updated: 2017-12-05Bibliographically approved
Ourique de Morais, W., Mayr, M., Wickström, N. & Philippsen, R. (2014). Ambient Intelligence and Robotics: complementing one another to support Ambient Assisted Living. In: Jangmyung Lee, Philippe Martinet, Marcus Strand, Stefano Ghidoni & Matteo Munaro (Ed.), IAS-13: The 13th International Conference on Intelligent Autonomous Systems: July 15-19, 2014: Padova and Venice, Italy: Proceedings of Workshops and Tutorials. Paper presented at 13th International Conference Intelligent Autonomous Systems, Padova & Venice, Italy, 15-19 July, 2014.
Open this publication in new window or tab >>Ambient Intelligence and Robotics: complementing one another to support Ambient Assisted Living
2014 (English)In: IAS-13: The 13th International Conference on Intelligent Autonomous Systems: July 15-19, 2014: Padova and Venice, Italy: Proceedings of Workshops and Tutorials / [ed] Jangmyung Lee, Philippe Martinet, Marcus Strand, Stefano Ghidoni & Matteo Munaro, 2014Conference paper, Published paper (Refereed)
Abstract [en]

This work combines a database-centric architecture, which supports Ambient Intelligence (AmI) for Ambient Assisted Living, with a ROS-based mobile sensing and interaction robot. The role of the active database is to monitor and respond to events in the environment and the robot subscribes to tasks issued by the AmI system. The robot can autonomously perform tasks such as to search for and interact with a person. Consequently, the two systems combine their capabilities and complement the lack of computational, sensing and actuation resources.

Keywords
ambient intelligence, robotics, ambient assisted living
National Category
Robotics
Identifiers
urn:nbn:se:hh:diva-26240 (URN)10.13140/2.1.2505.8566 (DOI)978-88-95872-06-3 (ISBN)
Conference
13th International Conference Intelligent Autonomous Systems, Padova & Venice, Italy, 15-19 July, 2014
Available from: 2014-08-13 Created: 2014-08-13 Last updated: 2017-03-23Bibliographically approved
Ourique de Morais, W., Lundström, J. & Wickström, N. (2013). A Database-Centric Architecture for Home-Based Health Monitoring. In: Christopher Nugent, Antonio Coronato, José Bravo (Ed.), Ambient Assisted Living and Active Aging: 5th International Work-Conference, IWAAL 2013, Carrillo, Costa Rica, December 2-6, 2013, Proceedings (pp. 26-34). Heidelberg, Germany: Springer, 8277
Open this publication in new window or tab >>A Database-Centric Architecture for Home-Based Health Monitoring
2013 (English)In: Ambient Assisted Living and Active Aging: 5th International Work-Conference, IWAAL 2013, Carrillo, Costa Rica, December 2-6, 2013, Proceedings / [ed] Christopher Nugent, Antonio Coronato, José Bravo, Heidelberg, Germany: Springer, 2013, Vol. 8277, p. 26-34Chapter in book (Refereed)
Abstract [en]

Traditionally, database management systems (DBMSs) have been employed exclusively for data management in infrastructures supporting Ambient Assisted Living (AAL) systems. However, DBMSs provide other mechanisms, such as for security, dependability, and extensibility that can facilitate the development, use, and maintenance of AAL applications. This work utilizes such mechanisms, particularly extensibility, and proposes a database-centric architecture to support home-based healthcare applications. An active database is used to monitor and respond to events taking place in the home, such as bed-exits. In-database data mining methods are applied to model early night behaviors of people living alone. Encapsulating the processing into the DBMS avoids transferring and processing sensitive data outside of database, enables changes in the logic to be managed on-the-fly, and reduces code duplication. As a result, such an approach leads to better performance and increased security and privacy, and can facilitate the adaptability and scalability of AAL systems. An evaluation of the architecture with datasets collected in real homes demonstrated the feasibility and flexibility of the approach.

Place, publisher, year, edition, pages
Heidelberg, Germany: Springer, 2013
Series
Lecture Notes in Computer Science, ISSN 0302-9743 ; Vol. 8277
Keywords
Healthcare technology, ambient assisted living, active data-bases, in-database processing, machine learning
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:hh:diva-25012 (URN)10.1007/978-3-319-03092-0_4 (DOI)2-s2.0-84893927504 (Scopus ID)978-3-319-03091-3 (ISBN)978-3-319-03092-0 (ISBN)
Available from: 2014-04-10 Created: 2014-04-10 Last updated: 2016-03-09Bibliographically approved
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Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0001-6708-0816

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