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An m-health application for cerebral stroke detection and monitoring using cloud services

Author

Listed:
  • García, Laura
  • Tomás, Jesús
  • Parra, Lorena
  • Lloret, Jaime

Abstract

Over 25 million people suffered from cerebral strokes in a span of 23 years. Many systems are being developed to monitor and improve the life of patients that suffer from different diseases. However, solutions for cerebral strokes are hard to find. Moreover, due to their widespread utilization, smartphones have presented themselves as the most appropriate devices for many e-health systems. In this paper, we propose a cerebral stroke detection solution that employs the cloud to store and analyze data in order to provide statistics to public institutions. Moreover, the prototype of the application is presented. The three most important symptoms of cerebral strokes were considered to develop the tasks that are conducted. Thus, the first task detects smiles, the second task employs voice recognition to determine if a sentence is repeated correctly and, the third task determines if the arms can be raised. Several tests were performed in order to verify the application. Results show its ability to determine whether users have the symptoms of cerebral stroke or not.

Suggested Citation

  • García, Laura & Tomás, Jesús & Parra, Lorena & Lloret, Jaime, 2019. "An m-health application for cerebral stroke detection and monitoring using cloud services," International Journal of Information Management, Elsevier, vol. 45(C), pages 319-327.
    • Handle: RePEc:eee:ininma:v:45:y:2019:i:c:p:319-327
    DOI: 10.1016/j.ijinfomgt.2018.06.004
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    References listed on IDEAS

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    1. Gardiyawasam Pussewalage, Harsha S. & Oleshchuk, Vladimir A., 2016. "Privacy preserving mechanisms for enforcing security and privacy requirements in E-health solutions," International Journal of Information Management, Elsevier, vol. 36(6), pages 1161-1173.
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