Unknown

Dataset Information

Multichannel esophageal signals to monitor respiratory rate in preterm infants.


ABSTRACT:

Background

Apnea of prematurity cannot be reliably measured with current monitoring techniques. Instead, indirect parameters such as oxygen desaturation or bradycardia are captured. We propose a Kalman filter-based detection of respiration activity and hence apnea using multichannel esophageal signals in neonatal intensive care unit patients.

Methods

We performed a single-center observational study with moderately preterm infants. Commercially available nasogastric feeding tubes containing multiple electrodes were used to capture signals with customized software. Multichannel esophageal raw signals were manually annotated, processed using extended Kalman filter, and compared with standard monitoring data including chest impedance to measure respiration activity.

Results</

SUBMITTER: Burgin C 

PROVIDER: S-EPMC8487228 | biostudies-literature | 2022 Feb

REPOSITORIES: biostudies-literature