Towards Ubiquitous Mobile Monitoring for Health-Care and Ambient Assisted Living

In this paper, we present a framework that enables patient mobile monitoring by using biometric devices (e.g., glucometers, blood pressure meters) to send data to a mobile phone via technologies such as WiFi, NFC or Bluetooth. An ontological architecture has been created in order to catalogue the framework elements. In addition, we provide a predictive model for managing patient history based on an analysis of past situations in order to predict future difficulties (variations in vital signs). In general, a MoMo (Mobile Monitoring) framework uses mobile phones and biometric devices to facilitate patient monitoring. Data are recorded in a central server and stored in a database to be used by the architecture.In this paper, we present a framework that enables patient mobile monitoring by using biometric devices (e.g., glucometers, blood pressure meters) to send data to a mobile phone via technologies such as WiFi, NFC or Bluetooth. An ontological architecture has been created in order to catalogue the framework elements. In addition, we provide a predictive model for managing patient history based on an analysis of past situations in order to predict future difficulties (variations in vital signs). In general, a MoMo (Mobile Monitoring) framework uses mobile phones and biometric devices to facilitate patient monitoring. Data are recorded in a central server and stored in a database to be used by the architecture

A case study in Diabetes

Advances in sensors, mobile and embedded devices have made possible patient monitoring and provided medical treatments and other assistance in health care. Aging populations will benefit from reduced costs and improved health care through assisted living based on these technologies. In this paper we present a monitoring and control architecture allow control of a patient’s disease trough mobile and biometric devices. Our architecture is based on an Ambient Assisted Living control that provides different modules organized in a final application embedded in the mobile devices. This application is compounded by aspects like control of measurement, data obtained and representation, generation of suggestions, prevention, and education control. We have explored the architecture by developing a final application and implementing them in a prototype system. Our system shows the feasibility and opportunity of an open approach to ambient assisted living architecture.Advances in sensors, mobile and embedded devices have made possible patient monitoring and provided medical treatments and other assistance in health care. Aging populations will benefit from reduced costs and improved health care through assisted living based on these technologies. In this paper we present a monitoring and control architecture allow control of a patient’s disease trough mobile and biometric devices. Our architecture is based on an Ambient Assisted Living control that provides different modules organized in a final application embedded in the mobile devices. This application is compounded by aspects like control of measurement, data obtained and representation, generation of suggestions, prevention, and education control. We have explored the architecture by developing a final application and implementing them in a prototype system. Our system shows the feasibility and opportunity of an open approach to ambient assisted living architecture

Using a Communication Model to Collect Measurement Data through Mobile Devices

Wireless systems and services have undergone remarkable development since the first mobile phone system was introduced in the early 1980s. The use of sensors in an Ambient Intelligence approach is a great solution in a medical environment. We define a communication architecture to facilitate the information transfer between all connected devices. This model is based in layers to allow the collection of measurement data to be used in our framework monitoring architecture. An overlay-based solution is built between network elements in order to provide an efficient and highly functional communication platform that allows the connection of a wide variety of devices and technologies, and serves also to perform additional functions such as the possibility to perform some processing in the network that may help to improve overall performance.Wireless systems and services have undergone remarkable development since the first mobile phone system was introduced in the early 1980s. The use of sensors in an Ambient Intelligence approach is a great solution in a medical environment. We define a communication architecture to facilitate the information transfer between all connected devices. This model is based in layers to allow the collection of measurement data to be used in our framework monitoring architecture. An overlay-based solution is built between network elements in order to provide an efficient and highly functional communication platform that allows the connection of a wide variety of devices and technologies, and serves also to perform additional functions such as the possibility to perform some processing in the network that may help to improve overall performance

Monitoring Architecture to collect measurement data and medical patient control through mobile devices

Patients constant monitoring is considered one of the most relevant aspects in healthcare. The development of a framework to communicate information between mobile and biometric devices allows constant monitoring of the patient, is viewed as a solution to healthcare issues. In this paper, we define an important element in framework design like that: a group of ontologies called MoMOntology that represent the ontologies of mobile monitoring process and allow collecting data from biometrics devices. An overlay-based solution is implemented between network elements in order to build an efficient and highly functional communication platform. In order to develop mobile monitoring applications, we define a MobiPattern for each module generation; and finally, we develop a framework compounded by an application for the patient on the mobile phone and an application for doctors on the personal computer.Patients constant monitoring is considered one of the most relevant aspects in healthcare. The development of a framework to communicate information between mobile and biometric devices allows constant monitoring of the patient, is viewed as a solution to healthcare issues. In this paper, we define an important element in framework design like that: a group of ontologies called MoMOntology that represent the ontologies of mobile monitoring process and allow collecting data from biometrics devices. An overlay-based solution is implemented between network elements in order to build an efficient and highly functional communication platform. In order to develop mobile monitoring applications, we define a MobiPattern for each module generation; and finally, we develop a framework compounded by an application for the patient on the mobile phone and an application for doctors on the personal computer

Applying Ontologies in the Development of Patient Mobile Monitoring Framework

In this paper, patient mobile monitoring enabling framework architecture is presented. To this end, biometric devices (e.g. glucometers, blood pressure meters) are used to send data to the mobile phone via technology such as NFC or Bluetooth among others. These data are updated by the doctor for the patient control. An ontological architecture has been built up to allow the cataloguing of the framework intervening elements. An ontological classification of the patient profile and modules definition are presented. Moreover, and as study case, these ontologies are implemented for Diabetes, regarding the monitoring and control of the convalescent person.In this paper, patient mobile monitoring enabling framework architecture is presented. To this end, biometric devices (e.g. glucometers, blood pressure meters) are used to send data to the mobile phone via technology such as NFC or Bluetooth among others. These data are updated by the doctor for the patient control. An ontological architecture has been built up to allow the cataloguing of the framework intervening elements. An ontological classification of the patient profile and modules definition are presented. Moreover, and as study case, these ontologies are implemented for Diabetes, regarding the monitoring and control of the convalescent person

Towards Simple Interaction in the Classroom: an NFC Approach

In a given environment, distributing different devices with computing capabilities around us opens up new possibilities. It allows simple and easy interaction between user and computer. In this work we propose an approach to make it easier to handle information in the educational context and to do so we have adapted Near Field Communication (NFC) technology, which provides a simple input to the system. The user only has to bring his/her mobile phone, equipped with a radiofrequency reader, near to a tag, obtaining services like localization, access, or presence. Most importantly for us, we present the visualization of information in what we have called a “Visualization Mosaic”.In a given environment, distributing different devices with computing capabilities around us opens up new possibilities. It allows simple and easy interaction between user and computer. In this work we propose an approach to make it easier to handle information in the educational context and to do so we have adapted Near Field Communication (NFC) technology, which provides a simple input to the system. The user only has to bring his/her mobile phone, equipped with a radiofrequency reader, near to a tag, obtaining services like localization, access, or presence. Most importantly for us, we present the visualization of information in what we have called a “Visualization Mosaic”

Diabetes Patients´ Care based on Mobile Monitoring

In this paper, we propose a new architecture for diabetes patients. These applications allow the monitoring, patient selfcontrol and communication between patient and doctor. Moreover, as an important study case, we present a mobile monitoring system which allows patients with diabetes to have a constant control of their glucose tendency as well as direct communication with their doctor. We present an application to solve this problem; we share some details of the current implementation, detailing the functionalities achieved so far.In this paper, we propose a new architecture for diabetes patients. These applications allow the monitoring, patient selfcontrol and communication between patient and doctor. Moreover, as an important study case, we present a mobile monitoring system which allows patients with diabetes to have a constant control of their glucose tendency as well as direct communication with their doctor. We present an application to solve this problem; we share some details of the current implementation, detailing the functionalities achieved so far

Diabetes Patients' Care based on Mobile Monitoring

In this paper, we propose a new architecture for diabetes patients. These applications allow the monitoring, patient selfcontrol and communication between patient and doctor. Moreover, as an important study case, we present a mobile monitoring system which allows patients with diabetes to have a constant control of their glucose tendency as well as direct communication with their doctor. We present an application to solve this problem; we share some details of the current implementation, detailing the functionalities achieved so far.In this paper, we propose a new architecture for diabetes patients. These applications allow the monitoring, patient selfcontrol and communication between patient and doctor. Moreover, as an important study case, we present a mobile monitoring system which allows patients with diabetes to have a constant control of their glucose tendency as well as direct communication with their doctor. We present an application to solve this problem; we share some details of the current implementation, detailing the functionalities achieved so far

NFC Approach: Towards a Simple Interaction

Nowadays, there are devices with great computing capabilities and these in different places around us. This technology opens us new possibilities and allows us the simple and easy interaction between user and computer. We propose in this work an approach to make it easier to handle information in the ducational context; we have adapted Near Field Communication (NFC) technology which provides a simple input to the system to come from the own context like of the environment. For this, it is necessary only the user bring his/her mobile phone, equipped with a radiofrequency reader, and near it to tag obtaining services like localization, access, presence and, the most important for us, the visualization of information.Nowadays, there are devices with great computing capabilities and these in different places around us. This technology opens us new possibilities and allows us the simple and easy interaction between user and computer. We propose in this work an approach to make it easier to handle information in the ducational context; we have adapted Near Field Communication (NFC) technology which provides a simple input to the system to come from the own context like of the environment. For this, it is necessary only the user bring his/her mobile phone, equipped with a radiofrequency reader, and near it to tag obtaining services like localization, access, presence and, the most important for us, the visualization of information

Competing with Privacy

We analyze the implications of consumer privacy for competition in the marketplace. Firms compete for consumer information and derive revenues both from consumer purchases as well as from disclosing consumer information in a secondary market. Consumers choose which firm to patronize and how much personal information to provide it with. We show that firms maximize profits by focusing on a single revenue source and competing at the extensive rather than the intensive margin, outperforming competitors by attracting a larger customer base. We also show that competition drives the provision of services with a low level of consumer information disclosure (high level of privacy), but higher competition intensity in the marketplace need not improve privacy when consumers exhibit low willingness to pay. Our findings are relevant to the business models of Internet firms and contribute to inform the regulatory debate on consumer privacy