Abstract

In the past years the progress on the mobile market has made possible an advancement in terms of telemedicine systems and definition of systems for monitoring chronic illnesses. The distribution of mobile devices in developed countries is increasing. Many of these devices are equipped with wireless standards including Bluetooth and the amount of sold Smartphones is constantly increasing. Our approach is oriented towards this market, using existing devices to enable in-home patient monitoring and even further to ubiquitious monitoring. The idea is to increase the quality of care, reduce costs and gather medical grade data, especially vital signs, with a resolution of minutes or even less, which is nowadays only possible in an ICU (Intensive Care Units). In this paper we will present the COMPASS personal health system (PHS) platform, and how this platform enables Android devices to collect, analyze and send sensor data to an observation storage by means of interoperability standards. Furthermore, we will also present how this data can be compressed using advanced compressed sensing techniques and how to optimize these techniques with genetic algorithms to improve the RMSE of the reconstructed signal after compression. We also produce a preliminary evaluation of the algorithm against the state of the art algorithms for compressed sensing.

Highlights

  • Personal Health Systems [1] (PHS), systems equipped with sensors that can monitor and report on the health of a patient affected by a chronic illness, are becoming a reality, thanks to the recent advancements of mobile technology and integrated sensors

  • For some illnesses, such as chronic obstructive pulmonary disease (COPD), observing continuously, the evolution of the physiological value of the patient can mean being able to prevent the happening of exacerbation episodes that may force the patient to hospitalization

  • In the corporate and medical field most of the federated identity systems use SAML2 (Security Assertion Markup Language) assertions in combination with SOAP Web services relying on XML encryption and signing backed up by a PKI (Public Key Infrastructure.) Due to some trends and the decisions taken by big IT players influencing the development of technologies, REST [5] has become the common choice for Web services

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Summary

INTRODUCTION

Personal Health Systems [1] (PHS), systems equipped with sensors that can monitor and report on the health of a patient affected by a chronic illness, are becoming a reality, thanks to the recent advancements of mobile technology and integrated sensors. Ensuring easy and fast integration can set the threshold for the success or failure of a PHS, as a matter of fact it is quite crucial to make the information immediately actionable for the medical doctors monitoring the patients. In this sense, several, major standards and protocols exist to deal with medical data on different layers. The rest of this paper is structured as follows: Section II presents the architecture of the system; Section III discusses

ARCHITECTURE
Sensor
Mobile Device
Authentication Server
Others
INTEROPERABILITY
SECURITY AND PRIVACY
12: Validate Token
Public Key Infrastructure
COMPRESSION WITH COMPRESSIVE SENSING
Elad and Duarte Optimization Algorithms
A Genetic Algorithm to Optimize the Projection Matrix
Experimentation and Preliminary Results
RELATED WORK
Findings
CONCLUSION & FUTURE WORK

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