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Cross Link: An Artificial Intelligence Based Solution for Elderly Healthcare

  • Universidad Peruana de Ciencias Aplicadas

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

1 Scopus citations

Abstract

Cross Link is a concept idea of a wearable device specifically designed to notify healthcare issues related to the elderly. Its functionality is powered by neural networks, enabling the detection of heart disease conditions, while the usage of machine learning algorithms is involved in analyzing body position and motion to detect falls. The proposed system design offers a custom notification system that can be adapted to the user’s needs. For the development of the article, several architecture diagrams have been prepared, which are divided into hardware and software diagrams. These diagrams show the operational flow, bracelet architecture, neural network model, user database, and deployment of software components. For the evaluation of the diagrams and the solution proposal, a focus group from laboratory Universidad Peruana de Ciencias Aplicadas experts is carried out, who evaluate the feasibility of the diagrams and share their observations about the project. The approval of the diagrams provides a solid foundation for future developments. The project presents viability and work for getting a prototype for the next months.

Original languageEnglish
Title of host publicationInformation Systems for Intelligent Systems - Proceedings of ISBM 2023
EditorsChakchai So In, Narendra D. Londhe, Nityesh Bhatt, Meelis Kitsing
PublisherSpringer Science and Business Media Deutschland GmbH
Pages391-402
Number of pages12
ISBN (Print)9789819986118
DOIs
StatePublished - 2024
EventWorld Conference on Information Systems for Business Management, ISBM 2023 - Bangkok, Thailand
Duration: 7 Sep 20238 Sep 2023

Publication series

NameSmart Innovation, Systems and Technologies
Volume379
ISSN (Print)2190-3018
ISSN (Electronic)2190-3026

Conference

ConferenceWorld Conference on Information Systems for Business Management, ISBM 2023
Country/TerritoryThailand
CityBangkok
Period7/09/238/09/23

Keywords

  • Fall
  • Healthcare
  • Heart disease
  • Heartbeat
  • Neural network
  • Wearable

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