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Low-Cost Wearable Technology Model to Control and Monitor Chronic Diseases for Healthcare

  • Universidad Peruana de Ciencias Aplicadas

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

In this paper, we propose a low-cost wearable technology model to control and monitor chronic diseases for healthcare. We enhance prior models by focusing on low cost components, and we assess the current hardware and systems applications offered in the market. Our proposed model also emphasizes the application of real-time data analysis for the healthcare organization. The model consists of six components: 1. Data acquisition; 2. Data Processing; 3. Information Results; 4. Decision making Support; 5. Technology Platform; 6. Framework for personal data protection. The model was validated with a group of 12 females over 70 years who were diagnosed with tumors at different stages. The preliminary results show that the mean temperature difference between the armpits and malignant tumors is 0.7 ± 0.5, while the mean temperature difference between the armpits and benign tumors is 2.1 ± 0.5.

Original languageEnglish
Title of host publicationProceedings of the 2018 IEEE 25th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538654903
DOIs
StatePublished - 6 Nov 2018
Event25th IEEE International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2018 - Lima, Peru
Duration: 8 Aug 201810 Aug 2018

Publication series

NameProceedings of the 2018 IEEE 25th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2018

Conference

Conference25th IEEE International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2018
Country/TerritoryPeru
CityLima
Period8/08/1810/08/18

Keywords

  • Algorithms and Complexity
  • Chronic Disease
  • Control Systems
  • Intelligent Systems
  • Low-Cost
  • Signal and Image Processing
  • Social Issues and Professional Practice
  • Tumor
  • Wearable

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