@inproceedings{1bd66ab9057e41dcb359b4674a7fdfc7,
title = "Processing respiratory muscle signals of preterm infants",
abstract = "A digital signal processing method for the processing of electromyographic (EMG) signals from respiratory muscles of premature infants is presented. The EMG signals are digitized at 1000 Hz, filtered, and processed to eliminate electrocardiographic contamination. Software for the processing of the EMG signals which eliminates low-frequency noise from respiratory movement and 60-Hz electrical noise was developed. The most important part of the EMG signal processing is the extraction of the electrocardiographic (ECG) artifact to obtain an EMG signal that is free from the ECG contaminant. Once the EMG signal is cleaned, it is passed through a moving time averager for later analysis. The ECG signal that is used as timing reference for the clearing of the EMG signals is bandpass filtered.",
author = "Claure, {Nelson R.} and Subbarao, {Wunnava V.} and Shahnaz Duara",
year = "1990",
month = dec,
day = "1",
language = "English (US)",
isbn = "0879425598",
series = "Proceedings of the Annual Conference on Engineering in Medicine and Biology",
publisher = "Publ by IEEE",
number = "pt 2",
pages = "829--830",
booktitle = "Biomedical Engineering Perspectives",
edition = "pt 2",
note = "Proceedings of the 12th Annual International Conference of the IEEE Engineering in Medicine and Biology Society ; Conference date: 01-11-1990 Through 04-11-1990",
}