4.5 Article

Design, implementation and validation of a novel open framework for agile development of mobile health applications

期刊

BIOMEDICAL ENGINEERING ONLINE
卷 14, 期 -, 页码 -

出版社

BMC
DOI: 10.1186/1475-925X-14-S2-S6

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资金

  1. Industrial Core Technology Development Program - Ministry of Trade, Industry and Energy (MOTIE, Korea) [10049079]
  2. CICYT project [SAF2010-20558]
  3. UGR Plan Propio project [PP2012-PI11]
  4. FPU Spanish grant [AP2009-2244]
  5. Korea Evaluation Institute of Industrial Technology (KEIT) [10049079] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
  6. National Research Foundation of Korea [21A20131612192] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

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The delivery of healthcare services has experienced tremendous changes during the last years. Mobile health or mHealth is a key engine of advance in the forefront of this revolution. Although there exists a growing development of mobile health applications, there is a lack of tools specifically devised for their implementation. This work presents mHealthDroid, an open source Android implementation of a mHealth Framework designed to facilitate the rapid and easy development of mHealth and biomedical apps. The framework is particularly planned to leverage the potential of mobile devices such as smartphones or tablets, wearable sensors and portable biomedical systems. These devices are increasingly used for the monitoring and delivery of personal health care and wellbeing. The framework implements several functionalities to support resource and communication abstraction, biomedical data acquisition, health knowledge extraction, persistent data storage, adaptive visualization, system management and value-added services such as intelligent alerts, recommendations and guidelines. An exemplary application is also presented along this work to demonstrate the potential of mHealthDroid. This app is used to investigate on the analysis of human behavior, which is considered to be one of the most prominent areas in mHealth. An accurate activity recognition model is developed and successfully validated in both offline and online conditions.

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