Respiratory rate estimation on embedded system
Resumen:
We present the design, implementation, and results of an algorithm for respiratory rate estimation using respiratory-induced frequency, intensity, and amplitude variation calculated from the infrared (IR) channel of the SEN-15219 board for photoplethysmography (PPG) acquisition. First, the algorithm was developed in Python (on a PC) using synthetic signals and publicly available respiration and PPG data. We also include a graphical user interface to process data from sensors and display vital signs. Later, we ported the algorithm to an MSP432P401R microcontroller to complete our wearable prototype. Results are promissory and show that respiratory rate estimation can be performed on the selected platform with our proposed Fourier Product (FP) method, which results in a Mean Absolute Error of 4.1 using 16-seconds windows of IR-PPG signals.
| 2023 | |
| Este trabajo fue parcialmente financiado por CSIC, Universidad de la República, Uruguay | |
|
Estimation Microcontrollers Signal processing algorithms Embedded systems Biomedical monitoring Performance evaluation Graphical user interfaces Respiratory rate estimation Photoplethysmography Signal processing Low-power embedded system |
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| Inglés | |
| Universidad de la República | |
| COLIBRI | |
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https://ieeexplore.ieee.org/document/10133829
https://hdl.handle.net/20.500.12008/41009 |
|
| Acceso abierto | |
| Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
| _version_ | 1807522936565792768 |
|---|---|
| author | Morales, Isabel |
| author2 | Martínez Hornak, Leonardo Solari, Alfredo Oreggioni, Julián |
| author2_role | author author author |
| author_facet | Morales, Isabel Martínez Hornak, Leonardo Solari, Alfredo Oreggioni, Julián |
| author_role | author |
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| collection | COLIBRI |
| dc.contributor.filiacion.none.fl_str_mv | Morales Isabel, Universidad de la República (Uruguay). Facultad de Ingeniería. Martínez Hornak Leonardo, Universidad de la República (Uruguay). Facultad de Ingeniería. Solari Alfredo, Universidad de la República (Uruguay). Facultad de Ingeniería. Oreggioni Julián, Universidad de la República (Uruguay). Facultad de Ingeniería. |
| dc.creator.none.fl_str_mv | Morales, Isabel Martínez Hornak, Leonardo Solari, Alfredo Oreggioni, Julián |
| dc.date.accessioned.none.fl_str_mv | 2023-11-08T18:16:57Z |
| dc.date.available.none.fl_str_mv | 2023-11-08T18:16:57Z |
| dc.date.issued.none.fl_str_mv | 2023 |
| dc.description.abstract.none.fl_txt_mv | We present the design, implementation, and results of an algorithm for respiratory rate estimation using respiratory-induced frequency, intensity, and amplitude variation calculated from the infrared (IR) channel of the SEN-15219 board for photoplethysmography (PPG) acquisition. First, the algorithm was developed in Python (on a PC) using synthetic signals and publicly available respiration and PPG data. We also include a graphical user interface to process data from sensors and display vital signs. Later, we ported the algorithm to an MSP432P401R microcontroller to complete our wearable prototype. Results are promissory and show that respiratory rate estimation can be performed on the selected platform with our proposed Fourier Product (FP) method, which results in a Mean Absolute Error of 4.1 using 16-seconds windows of IR-PPG signals. |
| dc.description.es.fl_txt_mv | Los autores desean agradecer al Núcleo de Ingeniería Biomédica, la Comisión Sectorial de Investigación Científica (CSIC, UdelaR) y al capítulo uruguayo de la IEEE Circuits and Systems Society. Publicado en IEEE Embedded Systems Letters, 2023. |
| dc.description.sponsorship.none.fl_txt_mv | Este trabajo fue parcialmente financiado por CSIC, Universidad de la República, Uruguay |
| dc.format.extent.es.fl_str_mv | 4 p. |
| dc.format.mimetype.es.fl_str_mv | application/pdf |
| dc.identifier.citation.es.fl_str_mv | Morales, I., Martínez Hornak, L., Solari, A. y otros. Respiratory rate estimation on embedded system. [Preprint]. Publicado en: IEEE Embedded Systems Letters. 2023. DOI: 10.1109/LES.2023.32793622023. |
| dc.identifier.uri.none.fl_str_mv | https://ieeexplore.ieee.org/document/10133829 https://hdl.handle.net/20.500.12008/41009 |
| dc.language.iso.none.fl_str_mv | en eng |
| dc.rights.license.none.fl_str_mv | Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
| dc.rights.none.fl_str_mv | info:eu-repo/semantics/openAccess |
| dc.source.none.fl_str_mv | reponame:COLIBRI instname:Universidad de la República instacron:Universidad de la República |
| dc.subject.es.fl_str_mv | Estimation Microcontrollers Signal processing algorithms Embedded systems Biomedical monitoring Performance evaluation Graphical user interfaces Respiratory rate estimation Photoplethysmography Signal processing Low-power embedded system |
| dc.title.none.fl_str_mv | Respiratory rate estimation on embedded system |
| dc.type.es.fl_str_mv | Preprint |
| dc.type.none.fl_str_mv | info:eu-repo/semantics/preprint |
| dc.type.version.none.fl_str_mv | info:eu-repo/semantics/submittedVersion |
| description | Los autores desean agradecer al Núcleo de Ingeniería Biomédica, la Comisión Sectorial de Investigación Científica (CSIC, UdelaR) y al capítulo uruguayo de la IEEE Circuits and Systems Society. |
| eu_rights_str_mv | openAccess |
| format | preprint |
| id | COLIBRI_acb785b61caaa6a888bbc7c40acc8122 |
| identifier_str_mv | Morales, I., Martínez Hornak, L., Solari, A. y otros. Respiratory rate estimation on embedded system. [Preprint]. Publicado en: IEEE Embedded Systems Letters. 2023. DOI: 10.1109/LES.2023.32793622023. |
| instacron_str | Universidad de la República |
| institution | Universidad de la República |
| instname_str | Universidad de la República |
| language | eng |
| language_invalid_str_mv | en |
| network_acronym_str | COLIBRI |
| network_name_str | COLIBRI |
| oai_identifier_str | oai:colibri.udelar.edu.uy:20.500.12008/41009 |
| publishDate | 2023 |
| reponame_str | COLIBRI |
| repository.mail.fl_str_mv | mabel.seroubian@seciu.edu.uy |
| repository.name.fl_str_mv | COLIBRI - Universidad de la República |
| repository_id_str | 4771 |
| rights_invalid_str_mv | Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
| spelling | Morales Isabel, Universidad de la República (Uruguay). Facultad de Ingeniería.Martínez Hornak Leonardo, Universidad de la República (Uruguay). Facultad de Ingeniería.Solari Alfredo, Universidad de la República (Uruguay). Facultad de Ingeniería.Oreggioni Julián, Universidad de la República (Uruguay). Facultad de Ingeniería.2023-11-08T18:16:57Z2023-11-08T18:16:57Z2023Morales, I., Martínez Hornak, L., Solari, A. y otros. Respiratory rate estimation on embedded system. [Preprint]. Publicado en: IEEE Embedded Systems Letters. 2023. DOI: 10.1109/LES.2023.32793622023.https://ieeexplore.ieee.org/document/10133829https://hdl.handle.net/20.500.12008/41009Los autores desean agradecer al Núcleo de Ingeniería Biomédica, la Comisión Sectorial de Investigación Científica (CSIC, UdelaR) y al capítulo uruguayo de la IEEE Circuits and Systems Society.Publicado en IEEE Embedded Systems Letters, 2023.We present the design, implementation, and results of an algorithm for respiratory rate estimation using respiratory-induced frequency, intensity, and amplitude variation calculated from the infrared (IR) channel of the SEN-15219 board for photoplethysmography (PPG) acquisition. First, the algorithm was developed in Python (on a PC) using synthetic signals and publicly available respiration and PPG data. We also include a graphical user interface to process data from sensors and display vital signs. Later, we ported the algorithm to an MSP432P401R microcontroller to complete our wearable prototype. Results are promissory and show that respiratory rate estimation can be performed on the selected platform with our proposed Fourier Product (FP) method, which results in a Mean Absolute Error of 4.1 using 16-seconds windows of IR-PPG signals.Submitted by Ribeiro Jorge (jribeiro@fing.edu.uy) on 2023-11-07T23:40:37Z No. of bitstreams: 2 license_rdf: 25790 bytes, checksum: 489f03e71d39068f329bdec8798bce58 (MD5) MMSO23.pdf: 856254 bytes, checksum: ab77272f96b4227f416e7379093a0123 (MD5)Approved for entry into archive by Machado Jimena (jmachado@fing.edu.uy) on 2023-11-08T18:12:49Z (GMT) No. of bitstreams: 2 license_rdf: 25790 bytes, checksum: 489f03e71d39068f329bdec8798bce58 (MD5) MMSO23.pdf: 856254 bytes, checksum: ab77272f96b4227f416e7379093a0123 (MD5)Made available in DSpace by Seroubian Mabel (mabel.seroubian@seciu.edu.uy) on 2023-11-08T18:16:57Z (GMT). No. of bitstreams: 2 license_rdf: 25790 bytes, checksum: 489f03e71d39068f329bdec8798bce58 (MD5) MMSO23.pdf: 856254 bytes, checksum: ab77272f96b4227f416e7379093a0123 (MD5) Previous issue date: 2023Este trabajo fue parcialmente financiado por CSIC, Universidad de la República, Uruguay4 p.application/pdfenengLas obras depositadas en el Repositorio se rigen por la Ordenanza de los Derechos de la Propiedad Intelectual de la Universidad de la República.(Res. Nº 91 de C.D.C. de 8/III/1994 – D.O. 7/IV/1994) y por la Ordenanza del Repositorio Abierto de la Universidad de la República (Res. Nº 16 de C.D.C. de 07/10/2014)info:eu-repo/semantics/openAccessLicencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)EstimationMicrocontrollersSignal processing algorithmsEmbedded systemsBiomedical monitoringPerformance evaluationGraphical user interfacesRespiratory rate estimationPhotoplethysmographySignal processingLow-power embedded systemRespiratory rate estimation on embedded systemPreprintinfo:eu-repo/semantics/preprintinfo:eu-repo/semantics/submittedVersionreponame:COLIBRIinstname:Universidad de la Repúblicainstacron:Universidad de la RepúblicaMorales, IsabelMartínez Hornak, LeonardoSolari, AlfredoOreggioni, JuliánElectrónicaMicroelectrónicaLICENSElicense.txtlicense.txttext/plain; charset=utf-84267http://localhost:8080/xmlui/bitstream/20.500.12008/41009/5/license.txt6429389a7df7277b72b7924fdc7d47a9MD55CC-LICENSElicense_urllicense_urltext/plain; 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- Universidad de la Repúblicafalse |
| spellingShingle | Respiratory rate estimation on embedded system Morales, Isabel Estimation Microcontrollers Signal processing algorithms Embedded systems Biomedical monitoring Performance evaluation Graphical user interfaces Respiratory rate estimation Photoplethysmography Signal processing Low-power embedded system |
| status_str | submittedVersion |
| title | Respiratory rate estimation on embedded system |
| title_full | Respiratory rate estimation on embedded system |
| title_fullStr | Respiratory rate estimation on embedded system |
| title_full_unstemmed | Respiratory rate estimation on embedded system |
| title_short | Respiratory rate estimation on embedded system |
| title_sort | Respiratory rate estimation on embedded system |
| topic | Estimation Microcontrollers Signal processing algorithms Embedded systems Biomedical monitoring Performance evaluation Graphical user interfaces Respiratory rate estimation Photoplethysmography Signal processing Low-power embedded system |
| url | https://ieeexplore.ieee.org/document/10133829 https://hdl.handle.net/20.500.12008/41009 |
