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Author

Mario Ribeiro

Bio: Mario Ribeiro is an academic researcher. The author has contributed to research in topics: Modular design & Wearable computer. The author has an hindex of 4, co-authored 6 publications receiving 83 citations.

Papers
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Proceedings ArticleDOI
30 May 2011
TL;DR: The paper presents the design and implementation of a mobile TeleCare system based on a smart wrist-worn device with a non-obtrusive sensing module for cardiac, respiratory and motor activity, a microcontroller platform for primary processing of the data from the sensors and wireless communication using Bluetooth protocol.
Abstract: Measurements of vital signs and behavioral patterns can be translated into accurate predictors of health risk, even at an early stage, and can be combined with alarm-triggering systems in order to initiate the appropriate actions. The paper presents the design and implementation of a mobile TeleCare system based on a smart wrist-worn device with a non-obtrusive sensing module for cardiac, respiratory and motor activity, a microcontroller platform for primary processing of the data from the sensors and wireless communication using Bluetooth protocol. Advanced data processing, data management, human computing interfacing and data communication are implemented using a smartphone running Android operating system (OS). A Web based health TeleCare information system was implemented being characterized by the following functionalities: data synchronization with the smartphone, advanced data processing and data presentation assuring a comprehensive data analysis and evidence based health management as well as for remote assistance of the patients by doctors and nurses. Experimental results associated with vital signs sensing and the software implementation are included in the paper.

59 citations

Proceedings ArticleDOI
18 May 2012
TL;DR: A electrocardiograph and skin conductivity hardware architecture, based on E-textile electrodes, attached to a wheelchair for affective and physiological computing, and a central design of affective recognition and biofeedback system is described.
Abstract: This work reports a electrocardiograph and skin conductivity hardware architecture, based on E-textile electrodes, attached to a wheelchair for affective and physiological computing. Appropriate conditioning circuits and a microcontroller platform that performs acquisition, primary processing, and communication using Bluetooth were designed and implemented. To increase the accuracy and repeatability of the skin conductivity measuring channel, force measurement sensors were attached to the system certifying measuring contact force on the electrode level. Advanced processing including R-wave peak detector, adaptive filtering and autonomic nervous system analysis based on wavelets transform was designed and implemented on a server. A central design of affective recognition and biofeedback system is described.

10 citations

Proceedings ArticleDOI
06 May 2013
TL;DR: A modular platform associated with fast prototyping of specific monitor was designed and implemented to assure higher flexibility in continuous monitoring of vital signs and motor activity in home healthcare systems.
Abstract: Continuous monitoring of vital signs and motor activity represents a challenging task that is usually associated with home healthcare systems. Different solutions are known generally being characterized by limited flexibility and capability to be integrated in novel architectures associated with remote assessment of health condition of patients out of hospital. In order to assure higher flexibility a modular platform associated with fast prototyping of specific monitor was designed and implemented. A practical approach concerning system applications and performances is included in the paper.

7 citations

Book ChapterDOI
TL;DR: Elements of IMU sensor network and smart rollator design and implementation for gait assessment, as well as sensor signals digital processing, are included in the chapter.
Abstract: Smart sensing devices are nowadays part of the ambient assisted living architectures and may be adapted and personalized for gait rehabilitation assessment. Aiming an objective evaluation of patient progress during the physiotherapy sessions, the design and implementation of a set of sensing devices were carried out. Thus, it was considered a wearable solution materialized by a smart inertial measurement unit (IMU) and/or a set of walking aid objects characterized by embedded unobtrusive sensing units based on microwave Doppler radars. The data delivered by the smart sensing units designed for gait rehabilitation purpose are wireless transmitted to an advanced processing server that provides synthetic information to the physiotherapist that use a mobile device to access the available services. Elements of IMU sensor network and smart rollator design and implementation for gait assessment, as well as sensor signals digital processing, are included in the chapter.

4 citations

Proceedings ArticleDOI
01 Nov 2013
TL;DR: A practical approach concerning smart sensing and embedded processing platforms as part of vital sign monitoring system for patients with limited mobility using walking aids and several experimental results concerning cardiac and motor activity monitoring using developed platforms associated with smart objects such wheelchair are presented.
Abstract: The latest developments in the field of sensing, smart sensors, communication protocols and human machine interface, and also the aim of decreasing the health services cost and increasing the quality of the provided services create the premises for new types of interactions among health providers and people, among patients, among patients and researchers and among patients and corporations. As important components of new healthcare systems, smart sensing platforms based on wearable or smart objects solutions allow the vital signs and motor activity monitoring in patients without higher interferences in their daily activities. In this paper is presented a practical approach concerning smart sensing and embedded processing platforms as part of vital sign monitoring system for patients with limited mobility using walking aids. Several experimental results concerning cardiac and motor activity monitoring using developed platforms associated with smart objects such wheelchair are presented.

3 citations


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Journal ArticleDOI
TL;DR: It was found that the mobile based applications have been widely developed in recent years with fast growing deployment by healthcare professionals and patients but despite the advantages of smartphones in patient monitoring, education, and management there are some critical issues and challenges related to security and privacy of data, acceptability, reliability and cost that need to be addressed.
Abstract: Mobile phones are becoming increasingly important in monitoring and delivery of healthcare interventions. They are often considered as pocket computers, due to their advanced computing features, enhanced preferences and diverse capabilities. Their sophisticated sensors and complex software applications make the mobile healthcare (m-health) based applications more feasible and innovative. In a number of scenarios user-friendliness, convenience and effectiveness of these systems have been acknowledged by both patients as well as healthcare providers. M-health technology employs advanced concepts and techniques from multidisciplinary fields of electrical engineering, computer science, biomedical engineering and medicine which benefit the innovations of these fields towards healthcare systems. This paper deals with two important aspects of current mobile phone based sensor applications in healthcare. Firstly, critical review of advanced applications such as; vital sign monitoring, blood glucose monitoring and in-built camera based smartphone sensor applications. Secondly, investigating challenges and critical issues related to the use of smartphones in healthcare including; reliability, efficiency, mobile phone platform variability, cost effectiveness, energy usage, user interface, quality of medical data, and security and privacy. It was found that the mobile based applications have been widely developed in recent years with fast growing deployment by healthcare professionals and patients. However, despite the advantages of smartphones in patient monitoring, education, and management there are some critical issues and challenges related to security and privacy of data, acceptability, reliability and cost that need to be addressed.

171 citations

Journal ArticleDOI
TL;DR: The results of an evidence-based study of mHealth solutions for chronic care amongst the elderly population are reported and a taxonomy of a broad range of m health solutions from the perspective of technological complexity is proposed.
Abstract: mHealth (healthcare using mobile wireless technologies) has the potential to improve healthcare and the quality of life for elderly and chronic patients. Many studies from all over the world have addressed this issue in view of the aging population in many countries. However, there has been a lack of any consolidated evidence-based study to classify mHealth from the dual perspectives of healthcare and technology. This paper reports the results of an evidence-based study of mHealth solutions for chronic care amongst the elderly population and proposes a taxonomy of a broad range of mHealth solutions from the perspective of technological complexity. A systematic literature review was conducted over 10 online databases and the findings were classified into four categories of predominant mHealth solutions, that is, self-healthcare, assisted healthcare, supervised healthcare and continuous monitoring. The findings of the study have major implications for information management and policy development in the context of the Millennium Development Goals (MDGs) related to healthcare in the world.

144 citations

Journal ArticleDOI
02 Feb 2016-Sensors
TL;DR: The main purpose of this paper is to present an overview of the state of the art to identify examples of sensor data fusion techniques that can be applied to the sensors available in mobile devices aiming to identify activities of daily living (ADL).
Abstract: This paper focuses on the research on the state of the art for sensor fusion techniques, applied to the sensors embedded in mobile devices, as a means to help identify the mobile device user’s daily activities. Sensor data fusion techniques are used to consolidate the data collected from several sensors, increasing the reliability of the algorithms for the identification of the different activities. However, mobile devices have several constraints, e.g., low memory, low battery life and low processing power, and some data fusion techniques are not suited to this scenario. The main purpose of this paper is to present an overview of the state of the art to identify examples of sensor data fusion techniques that can be applied to the sensors available in mobile devices aiming to identify activities of daily living (ADLs).

137 citations

Journal ArticleDOI
TL;DR: A self-organizing, goal-driven service model for task resolution and execution in mobile pervasive environments is proposed, and an adaptation architecture that allows execution paths to dynamically adapt, which reduces failures, and lessens re-execution effort for failure recovery is introduced.
Abstract: Mobile, pervasive computing environments respond to users’ requirements by providing access to and composition of various services over networked devices. In such an environment, service composition needs to satisfy a request’s goal, and be mobile-aware even throughout service discovery and service execution. A composite service also needs to be adaptable to cope with the environment’s dynamic network topology. Existing composition solutions employ goal-oriented planning to provide flexible composition, and assign service providers at runtime, to avoid composition failure. However, these solutions have limited support for complex service flows and composite service adaptation. This paper proposes a self-organizing, goal-driven service model for task resolution and execution in mobile pervasive environments. In particular, it proposes a decentralized heuristic planning algorithm based on backward-chaining to support flexible service discovery. Further, we introduce an adaptation architecture that allows execution paths to dynamically adapt, which reduces failures, and lessens re-execution effort for failure recovery. Simulation results show the suitability of the proposed mechanism in pervasive computing environments where providers are mobile, and it is uncertain what services are available. Our evaluation additionally reveals the model’s limits with regard to network dynamism and resource constraints.

87 citations

Journal ArticleDOI
TL;DR: A taxonomy of existing and emerging mHealth applications is proposed to help all users understand this domain and to help researchers, patients, and healthcare professionals understanding this domain.
Abstract: There has been tremendous increase in both the different types of Mobile Health (mHealth) applications and the number of applications being created for both the clinical and consumer healthcare space. The rapid proliferation of mHealth applications is creating confusion in the domain among both consumers and healthcare professionals due to uncertainty about reliability, security, regulation, and integration concerns. New applications are being developed faster than researchers, patients, and healthcare professionals can grasp the multiplicity of the mHealth applications and the various ways they can be used. This paper proposes a taxonomy of existing and emerging mHealth applications to help all users understand this domain.

65 citations