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

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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...

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Detalles Bibliográficos
Autores: Raymundo, Carlos, Chavez, Heyul, Cruz, Cesar, Trujillo, Carlos Silvestre Herrera, Zapata, Gianpierre
Formato: artículo
Fecha de Publicación:2024
Institución:Universidad Peruana de Ciencias Aplicadas
Repositorio:UPC-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorioacademico.upc.edu.pe:10757/676035
Enlace del recurso:http://hdl.handle.net/10757/676035
Nivel de acceso:acceso embargado
Materia:Compression
Low cost
Respiration monitoring
Respiration rate
Wearable sensor
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dc.title.es_PE.fl_str_mv Development of a Low-Cost Device for Respiratory Frequency Measurement and Anomaly Detection
title Development of a Low-Cost Device for Respiratory Frequency Measurement and Anomaly Detection
spellingShingle Development of a Low-Cost Device for Respiratory Frequency Measurement and Anomaly Detection
Raymundo, Carlos
Compression
Low cost
Respiration monitoring
Respiration rate
Wearable sensor
title_short Development of a Low-Cost Device for Respiratory Frequency Measurement and Anomaly Detection
title_full Development of a Low-Cost Device for Respiratory Frequency Measurement and Anomaly Detection
title_fullStr Development of a Low-Cost Device for Respiratory Frequency Measurement and Anomaly Detection
title_full_unstemmed Development of a Low-Cost Device for Respiratory Frequency Measurement and Anomaly Detection
title_sort Development of a Low-Cost Device for Respiratory Frequency Measurement and Anomaly Detection
author Raymundo, Carlos
author_facet Raymundo, Carlos
Chavez, Heyul
Cruz, Cesar
Trujillo, Carlos Silvestre Herrera
Zapata, Gianpierre
author_role author
author2 Chavez, Heyul
Cruz, Cesar
Trujillo, Carlos Silvestre Herrera
Zapata, Gianpierre
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Raymundo, Carlos
Chavez, Heyul
Cruz, Cesar
Trujillo, Carlos Silvestre Herrera
Zapata, Gianpierre
dc.subject.es_PE.fl_str_mv Compression
Low cost
Respiration monitoring
Respiration rate
Wearable sensor
topic Compression
Low cost
Respiration monitoring
Respiration rate
Wearable sensor
description 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.
publishDate 2024
dc.date.accessioned.none.fl_str_mv 2024-10-06T11:42:39Z
dc.date.available.none.fl_str_mv 2024-10-06T11:42:39Z
dc.date.issued.fl_str_mv 2024-01-01
dc.type.es_PE.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.issn.none.fl_str_mv 23673370
dc.identifier.doi.none.fl_str_mv 10.1007/978-981-97-3305-7_23
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/10757/676035
dc.identifier.eissn.none.fl_str_mv 23673389
dc.identifier.journal.es_PE.fl_str_mv Lecture Notes in Networks and Systems
dc.identifier.eid.none.fl_str_mv 2-s2.0-85201090801
dc.identifier.scopusid.none.fl_str_mv SCOPUS_ID:85201090801
identifier_str_mv 23673370
10.1007/978-981-97-3305-7_23
23673389
Lecture Notes in Networks and Systems
2-s2.0-85201090801
SCOPUS_ID:85201090801
url http://hdl.handle.net/10757/676035
dc.language.iso.es_PE.fl_str_mv eng
language eng
dc.rights.es_PE.fl_str_mv info:eu-repo/semantics/embargoedAccess
eu_rights_str_mv embargoedAccess
dc.format.es_PE.fl_str_mv application/html
dc.publisher.es_PE.fl_str_mv Springer Science and Business Media Deutschland GmbH
dc.source.none.fl_str_mv reponame:UPC-Institucional
instname:Universidad Peruana de Ciencias Aplicadas
instacron:UPC
instname_str Universidad Peruana de Ciencias Aplicadas
instacron_str UPC
institution UPC
reponame_str UPC-Institucional
collection UPC-Institucional
dc.source.journaltitle.none.fl_str_mv Lecture Notes in Networks and Systems
dc.source.volume.none.fl_str_mv 1004 LNNS
dc.source.beginpage.none.fl_str_mv 283
dc.source.endpage.none.fl_str_mv 293
bitstream.url.fl_str_mv https://repositorioacademico.upc.edu.pe/bitstream/10757/676035/1/license.txt
bitstream.checksum.fl_str_mv 8a4605be74aa9ea9d79846c1fba20a33
bitstream.checksumAlgorithm.fl_str_mv MD5
repository.name.fl_str_mv Repositorio académico upc
repository.mail.fl_str_mv upc@openrepository.com
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score 13.772021
Development of a Low-Cost Device for Respiratory Frequency Measurement and Anomaly Detection
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