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Ms. Mariana Jacob Rodrigues
Iscte - Instituto Universitário de Lisboa

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Research Keywords & Expertise

0 Health Assessment
0 Artifical Intelligence
0 Wireless Sensor Networks (WSN)
0 ambient assisted living
0 Internet Of Things (IoT)

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Conference paper
Published: 01 May 2020 in 2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)
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The exposure to colored light with different wavelengths has proved to affect the physiological functions of the human body. To test such influence, this work was focused on heart rate variability (HRV) analysis associated with different colored light exposure of healthy volunteers. A Photoplethysmography (PPG) wireless sensor network node was employed to acquire information about the cardiac activity, as it proves to be a more convenient and less intrusive method as electrocardiography (ECG). A small group of healthy volunteers were exposed to 10 minutes of blue and red light, preceded and followed by 5 minutes of dark lighting conditions. HRV was acquired during the last 5 minutes of each colored illumination period. The HRV analysis was based on time-domain variables, frequency-domain variables and fractal (nonlinear) analysis. The experimental results from this study show that PPG can be considered as a reliable method to study HRV. The exposure to different colored light conducted to HRV variations that characterize the autonomous nervous system balance. Experimental results obtained for volunteers exposed to different illumination conditions are also included in the paper.

ACS Style

John Araujo; Mariana Jacob Rodrigues; Octavian Postolache; Francisco Cercas; Francisco Ferrero Martin; Alberto Lopez Martinez. Heart Rate Variability Analysis in Healthy Subjects Under Different Colored Lighting Conditions. 2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) 2020, 1 -5.

AMA Style

John Araujo, Mariana Jacob Rodrigues, Octavian Postolache, Francisco Cercas, Francisco Ferrero Martin, Alberto Lopez Martinez. Heart Rate Variability Analysis in Healthy Subjects Under Different Colored Lighting Conditions. 2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC). 2020; ():1-5.

Chicago/Turabian Style

John Araujo; Mariana Jacob Rodrigues; Octavian Postolache; Francisco Cercas; Francisco Ferrero Martin; Alberto Lopez Martinez. 2020. "Heart Rate Variability Analysis in Healthy Subjects Under Different Colored Lighting Conditions." 2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) , no. : 1-5.

Review
Published: 12 April 2020 in Sensors
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Healthcare optimization has become increasingly important in the current era, where numerous challenges are posed by population ageing phenomena and the demand for higher quality of the healthcare services. The implementation of Internet of Things (IoT) in the healthcare ecosystem has been one of the best solutions to address these challenges and therefore to prevent and diagnose possible health impairments in people. The remote monitoring of environmental parameters and how they can cause or mediate any disease, and the monitoring of human daily activities and physiological parameters are among the vast applications of IoT in healthcare, which has brought extensive attention of academia and industry. Assisted and smart tailored environments are possible with the implementation of such technologies that bring personal healthcare to any individual, while living in their preferred environments. In this paper we address several requirements for the development of such environments, namely the deployment of physiological signs monitoring systems, daily activity recognition techniques, as well as indoor air quality monitoring solutions. The machine learning methods that are most used in the literature for activity recognition and body motion analysis are also referred. Furthermore, the importance of physical and cognitive training of the elderly population through the implementation of exergames and immersive environments is also addressed.

ACS Style

Mariana Jacob Rodrigues; Octavian Postolache; Francisco Cercas. Physiological and Behavior Monitoring Systems for Smart Healthcare Environments: A Review. Sensors 2020, 20, 2186 .

AMA Style

Mariana Jacob Rodrigues, Octavian Postolache, Francisco Cercas. Physiological and Behavior Monitoring Systems for Smart Healthcare Environments: A Review. Sensors. 2020; 20 (8):2186.

Chicago/Turabian Style

Mariana Jacob Rodrigues; Octavian Postolache; Francisco Cercas. 2020. "Physiological and Behavior Monitoring Systems for Smart Healthcare Environments: A Review." Sensors 20, no. 8: 2186.

Conference paper
Published: 01 November 2019 in 2019 E-Health and Bioengineering Conference (EHB)
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This article presents a wireless sensor network capable to acquire and analyze indoor environmental quality (IEQ) parameters and improving such indoor conditions using actuator nodes. An additional WSN end node capable associated with user's physiological parameters monitoring in indoor conditions as part of ambient assisted living for elderly people is considered. The user's cardiac activity is sensed in an unobtrusive way and the acquired and primary processed data is displayed in real time by a developed web application. As a measurement channel associated with cardiac assessment, a Photoplethysmography (PPG) sensor is embedded in a daily used office chair. The proposed system also served to study the influence of indoor environment changes obtained through a set of distributed actuators on the user's cardiac activity. Preliminary experimental results are included in the paper.

ACS Style

Mariana Jacob Rodrigues; Octavian Postolache; Francisco Cercas. Wireless Sensor Network for Cardiac Activity Monitoring. 2019 E-Health and Bioengineering Conference (EHB) 2019, 1 -4.

AMA Style

Mariana Jacob Rodrigues, Octavian Postolache, Francisco Cercas. Wireless Sensor Network for Cardiac Activity Monitoring. 2019 E-Health and Bioengineering Conference (EHB). 2019; ():1-4.

Chicago/Turabian Style

Mariana Jacob Rodrigues; Octavian Postolache; Francisco Cercas. 2019. "Wireless Sensor Network for Cardiac Activity Monitoring." 2019 E-Health and Bioengineering Conference (EHB) , no. : 1-4.

Conference paper
Published: 01 August 2019 in 2019 International Conference on Sensing and Instrumentation in IoT Era (ISSI)
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In this paper, an indoor air quality monitoring system based on a wireless sensor network (WSN) and compatible with the internet of things (IoT) is presented. By providing relevant information about indoor air conditions, the system may help to prevent the triggering of respiratory distresses, such as an asthma crisis, by highlighting critical air quality conditions. The sensor network contains several sensing nodes with temperature, humidity, gas and particulate matter sensors, and a set of actuators that will help improve indoor's thermal comfort and lighting quality. A Web-based application was developed to provide data analysis, system control and alert mechanisms for asthma attacks prevention. A smart lighting system was implemented to generate visual alert mechanisms and improve indoor's lighting comfort.

ACS Style

Mariana Jacob Rodrigues; Octavian Postolache; Francisco Cercas. Indoor Air Quality Monitoring System to Prevent the Triggering of Respiratory Distress. 2019 International Conference on Sensing and Instrumentation in IoT Era (ISSI) 2019, 1 -6.

AMA Style

Mariana Jacob Rodrigues, Octavian Postolache, Francisco Cercas. Indoor Air Quality Monitoring System to Prevent the Triggering of Respiratory Distress. 2019 International Conference on Sensing and Instrumentation in IoT Era (ISSI). 2019; ():1-6.

Chicago/Turabian Style

Mariana Jacob Rodrigues; Octavian Postolache; Francisco Cercas. 2019. "Indoor Air Quality Monitoring System to Prevent the Triggering of Respiratory Distress." 2019 International Conference on Sensing and Instrumentation in IoT Era (ISSI) , no. : 1-6.

Proceedings article
Published: 01 March 2019 in 2019 11th International Symposium on Advanced Topics in Electrical Engineering (ATEE)
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Remote sensing and Virtual Reality (VR) are technologies that create new development opportunities in the field of serious games with application in physiotherapy. Thus, during a physiotherapy training session expressed by a game round the remote sensing of user body motion provides measurements that can be used for objective evaluation of physical therapy outcomes. In this work is presented a serious game for physiotherapy characterized by Kinect natural user interface and a set of VR games developed in the Unity3D. To provide patient electronic health record, game remote configuration as well as for data presentation for physiotherapist a mobile application was developed. Additionally, several training results expressed by upper limb, neck and spine angles are included in the paper.

ACS Style

Octavian Postolache; Luís Teixeira; Joao Cordeiro; M Luisa Lima; Patricia Arriaga; Mariana Catela Jacob Rodrigues; Pedro Girao. Tailored Virtual Reality for Smart Physiotherapy. 2019 11th International Symposium on Advanced Topics in Electrical Engineering (ATEE) 2019, 1 -6.

AMA Style

Octavian Postolache, Luís Teixeira, Joao Cordeiro, M Luisa Lima, Patricia Arriaga, Mariana Catela Jacob Rodrigues, Pedro Girao. Tailored Virtual Reality for Smart Physiotherapy. 2019 11th International Symposium on Advanced Topics in Electrical Engineering (ATEE). 2019; ():1-6.

Chicago/Turabian Style

Octavian Postolache; Luís Teixeira; Joao Cordeiro; M Luisa Lima; Patricia Arriaga; Mariana Catela Jacob Rodrigues; Pedro Girao. 2019. "Tailored Virtual Reality for Smart Physiotherapy." 2019 11th International Symposium on Advanced Topics in Electrical Engineering (ATEE) , no. : 1-6.