Abstract

The health status of a person can be assessed by specialized professionals with the help of medical devices. The assessment, in real-time, would be useful as most of the times a person is not in presence of health professionals. But own assessment lacks precision and reaction time that could be risky in critical conditions. The pervasiveness of Internet connections and ubiquity of smart devices makes it possible to overcome that limitation. By using sensing capabilities of portable/wearable devices in conjunction with medical knowledge and clinical history it is possible to monitor a person’s health status in real-time with reaction mechanisms. The objective is to keep track of collected evidence, and relate with existing knowledge for better assessment. This paper proposes a framework, inspired by the brain and physiology, capturing real-time health related information, at a person’s location, submitting that to the cloud for reasoning and decision and triggers advice or request medical assistance.

Original languageEnglish
Title of host publicationTechnological Innovation for Cloud-Based Engineering Systems - 6th IFIPWG 5.5/SOCOLNET Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2015, Proceedings
PublisherSpringer New York LLC
Pages273-281
Number of pages9
Volume450
ISBN (Electronic)978-3-319-16765-7
ISBN (Print)978-3-319-16766-4
DOIs
Publication statusPublished - 2015
Event6th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2015 - Costa de Caparica, Portugal
Duration: 13 Apr 201515 Apr 2015

Publication series

NameIFIP Advances in Information and Communication Technology
Volume450
ISSN (Print)1868-4238

Conference

Conference6th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2015
CountryPortugal
CityCosta de Caparica
Period13/04/1515/04/15

Keywords

  • Cloud
  • Health monitoring
  • Internet of things
  • Brain models

Fingerprint Dive into the research topics of 'Brain inspired health monitoring supported by the cloud'. Together they form a unique fingerprint.

Cite this