A Web and Mobile Applications for Self-control of Patient Blood Pressure Through Mobiles and Biometrics Devices

  • Vladimir Villarreal
  • Mel Nielsen
  • Manuel Samudio
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10586)


In this article, we want to present a platform that allows the integration of different applications for the follow-up of patients with chronic diseases. We are developing two elements: the first one, is a mobile application that allows the capture and processing of vital sign for patient with high blood pressure (hypertension). This application allows to store the patient data obtained, the show historical and trends of the stored measures, a list of foods to consume, alerts and recommendations according to ranges of measures obtained. The second one, is a web application, this application allows the doctor and patients relatives to have updated information of the disease behavior through the measures obtained, food consumed, and others. Through this web application, we can also generate statistics about average measures in a given time, by age, by region, by specific date.


Blood pressure Mobile applications Web applications Mobile health 



The first author is member of the National Research Investigator award (SNI) from the SENACYT as a National Research. This article is presented as part of a project ITE15-001 financed by SENACYT and development by Technological University of Panama, Columbus University and Universidad Cooperativa de Colombia.


  1. 1. Día Mundial de la hipertensión arterial (HTA). (2016). Last access 18 Sept 2016
  2. 2.
    La Estrella de Panamá: Un 33% de población adulta en Panamá sufre de hipertensión arterial. (2014). Last access 18 Sept 2016
  3. 3. Hipertensión arterial: el asesino silencioso. (2016). Last access18 Sept 2016
  4. 4.
    González, V., Jose, A.: Aplicación para la monitorización remota de pacientes, p. 139. Universidad de Valladolid, Dep. de Ingeniería Técnica de Informática de Sistemas. PFC, Valladolid (2009)Google Scholar
  5. 5.
    BOSCH.: Health buddy system. (2011). Last access 2012
  6. 6.
    Ryder, J., Longstaff, B., et al.: Ambulation: a tool for monitoring mobility patterns over time using mobile phones. Computational Science and Engineering. CSE 2009 (2009)Google Scholar
  7. 7.
    Wan-Young, C., Seung-Chul, L., et al.: WSN based mobile u-healthcare system with ECG, blood pressure measurement function. In: 30th Annual International Conference of the IEEE on Engineering in Medicine and Biology Society. EMBS 2008 (2008)Google Scholar
  8. 8.
    Paradiso, R., Alonso, A., et al.: Remote health monitoring with wearable non-invasive mobile system: the Healthwear project. In: 30th Annual International Conference of the IEEE on Engineering in Medicine and Biology Society. EMBS 2008 (2008)Google Scholar

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Vladimir Villarreal
    • 1
  • Mel Nielsen
    • 1
  • Manuel Samudio
    • 1
  1. 1.GITCE Research LabTechnological University of PanamaDavidPanama

Personalised recommendations