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