University of Oulu

Tobón-Cardona M., Seppänen T., Torres R. (2018) A Preliminary Study in Neonatal Cardiorespiratory Monitoring through Diaphragmatic Electromyography. In: Eskola H., Väisänen O., Viik J., Hyttinen J. (eds) EMBEC & NBC 2017. EMBEC 2017, NBC 2017. IFMBE Proceedings, vol 65. Springer, Singapore

A preliminary study in neonatal cardiorespiratory monitoring through diaphragmatic electromyography

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Author: Tobón-Cardona, Marcela1,2; Seppänen, Tapio2; Torres, Róbinson1
Organizations: 1Biomedical Engineering Research Group EIA – CES (GIBEC), EIA University and CES University, Envigado, Colombia
2Center for Machine Vision and Signal Analysis, University of Oulu, Oulu, Finland
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.3 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe2019090426586
Language: English
Published: Springer Nature, 2017
Publish Date: 2019-09-04
Description:

Abstract

Cardiorespiratory monitoring continues to be a challenge in the Neonatal Intensive Care Unit due to the sensitivity of current techniques to false alarms and artifacts. Surface diaphragmatic electromyography (EMGdi) can be used to measure directly the respiratory muscles activity and to reduce motion artifacts. We propose to acquire ECG and EMGdi with the electrodes placed on the diaphragm to measure heart and respiratory rate in neonates. Data from fourteen neonates was analyzed to compare the measurements of the signal acquired in the diaphragm with the ECG bipolar leads and a reference respiration signal from piezoelectric respiratory effort belt. Bland-Altman plots showed agreement between heart rate monitoring in the diaphragm with no significant differences. Detection of breaths showed similar results in the EMGdi derived wave compared with the reference signal. Thus, heart and respiration rate monitoring in neonates can be accomplished with ECG and EMG signals acquired from the diaphragm.

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Series: IFMBE proceedings
ISSN: 1680-0737
ISSN-E: 1433-9277
ISSN-L: 1680-0737
ISBN: 978-981-10-5122-7
ISBN Print: 978-981-10-5121-0
Pages: 1093 - 1096
DOI: 10.1007/978-981-10-5122-7_273
OADOI: https://oadoi.org/10.1007/978-981-10-5122-7_273
Host publication: EMBEC & NBC 2017. Joint Conference of the European Medical and Biological Engineering Conference (EMBEC) and the Nordic-Baltic Conference on Biomedical Engineering and Medical Physics (NBC), Tampere, Finland, June 2017
Host publication editor: Eskola, Hannu
Väisänen, Outi
Viik, Jari
Hyttinen, Jari
Conference: European Medical and Biological Engineering Conference (EMBEC). Nordic-Baltic Conference on Biomedical Engineering and Medical Physics (NBC)
Type of Publication: A4 Article in conference proceedings
Field of Science: 217 Medical engineering
113 Computer and information sciences
Subjects:
Copyright information: © Springer Nature Singapore Pte Ltd. 2018. This is a post-peer-review, pre-copyedit version of an article published in EMBEC & NBC 2017. Joint Conference of the European Medical and Biological Engineering Conference (EMBEC) and the Nordic-Baltic Conference on Biomedical Engineering and Medical Physics (NBC), Tampere, Finland, June 2017. The final authenticated version is available online at: https://doi.org/10.1007/978-981-10-5122-7_273.