Early warning systems are being implemented in all smart devices such as Smartphone, Personalized Digital Assistant (PDA), which detect signals such as pulse oximetry, temperature that perform personal monitoring of these signals without a feedback of information to be able to interpret them. Embedded systems have been implemented as biomedical applications as a tool in monitoring equipment for patients with the characteristic of information feedback as an intelligent system of interaction, this is the case of the proposed system, it is oriented to the medical field, collecting signal information through the use of biomedical instrumentation sensors, digital sensors and programming a database for the interpretation of electrocardiography signals, pulse oximetry and temperature and interacting with the doctor through a social network such as the Wathsapp application, the vital signs are analyzed through a database, using Wi-fi communication the information is sent biomedical signals and allows the analysis of data compared with the database sending the doctor a presumptive diagnostic report, as results we have the robust connection and sending information in the form of text and image.
|Translated title of the contribution
|Design and Construction of a Vital Signs Monitoring System with Interaction through Social Networks
|Title of host publication
|INCLUSIÓN, DISCAPACIDAD Y EDUCACIÓN: Enfoque práctico desde las Tecnologías Emergentes
|Editorial Universitaria Abya-Yala
|Number of pages
|Published - 1 May 2017
- Embedded systems
- Pulse oximeter
- Social networks.
- Social networks. electrocardiogram
CACES Knowledge Areas
- 417A Electronics, Automation and Sound