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Development of a Low-Cost Device for Respiratory Frequency Measurement and Anomaly Detection

  • Universidad Peruana de Ciencias Aplicadas

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

Abstract

The respiratory frequency monitoring is essential in medical environments to assess the lung health of patients. This work introduces a low-cost device designed to measure respiratory frequency in an automated manner and detect potential anomalies. The device provides accurate measurements, freeing medical staff from manual tasks. In addition to its application in hospitals, the device is proposed as a valuable tool for home sleep monitoring, opening new possibilities for the early detection of conditions such as sleep apnea. It also allows for remote data transmission and integration with mobile devices. The respiratory signal was successfully compressed without losing its key characteristics, achieving a compression rate of over 95% and facilitating storage and processing. In summary, this device aims to enhance efficiency in respiratory frequency monitoring, offering a low-cost solution with a significant impact on healthcare and the patient’s quality of life.

Original languageEnglish
Title of host publicationProceedings of 9th International Congress on Information and Communication Technology - ICICT 2024
EditorsXin-She Yang, Simon Sherratt, Nilanjan Dey, Amit Joshi
PublisherSpringer Science and Business Media Deutschland GmbH
Pages283-293
Number of pages11
ISBN (Print)9789819733040
DOIs
StatePublished - 2024
Event9th International Congress on Information and Communication Technology, ICICT 2024 - London, United Kingdom
Duration: 19 Feb 202422 Feb 2024

Publication series

NameLecture Notes in Networks and Systems
Volume1004 LNNS
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

Conference

Conference9th International Congress on Information and Communication Technology, ICICT 2024
Country/TerritoryUnited Kingdom
CityLondon
Period19/02/2422/02/24

Keywords

  • Compression
  • Low cost
  • Respiration monitoring
  • Respiration rate
  • Wearable sensor

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