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Monitoring respiratory activity in neonates using diaphragmatic electromyograph

Pang, P.C.W, Pepper, Matthew G., Ducker, D.A (1995) Monitoring respiratory activity in neonates using diaphragmatic electromyograph. Medical and Biological Engineering and Computing, 33 (3). pp. 385-390. ISSN 0140-0118. (doi:10.1007/BF02510520) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:19434)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided.
Official URL:
http://dx.doi.org/10.1007/BF02510520

Abstract

The monitoring of the development of respiratory function in low-birth-weight or sick neonates is important in its overall treatment. The most direct approach to obtaining information on respiratory function is to monitor the activity of the diaphragmatic muscular system rather than measure the resultant change in lung volume or ventilator output, which cannot be guaranteed to be directly related to the neonate's own respiratory activity. The system was designed to assess the feasibility of monitoring respiratory activity in such neonates by measuring the diaphragmatic synchronisation and control of ventilator assistance. To monitor the EMG, the dominant effect of the ECG was removed using a digital processor. Initial clinical measurements indicate that neonatal respiratory activity can be monitored by measuring the diaphragmatic EMG. Comparative measurements show the EMG method is faster in detecting the inspiratory phase of a breath. Measurements on ventilated neonates showed the presence of intermittent respiratory activity. It also is proposed that clinically relevant information may be deduced from the analysis of the morphology of the detected EMG waveform.

Item Type: Article
DOI/Identification number: 10.1007/BF02510520
Uncontrolled keywords: diaphragmatic emg monitoring; patient-triggered ventilation; real-time processing
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 75 Electronic computers. Computer science
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: O.O. Odanye
Date Deposited: 28 May 2009 17:56 UTC
Last Modified: 16 Nov 2021 09:57 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/19434 (The current URI for this page, for reference purposes)

University of Kent Author Information

Pepper, Matthew G..

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