Title :
A synchronization system for the analysis of biomedical signals recorded with different devices from mechanically ventilated patients
Author :
Camacho, Antonio ; Hernandez, A. Mauricio ; Londono, Z. ; Serna, L.Y. ; Mananas, M.A.
Author_Institution :
Bioeng. Program, Univ. of Antioquia, Medellin, Colombia
fDate :
Aug. 28 2012-Sept. 1 2012
Abstract :
Conducting research associated with mechanically ventilated patients often requires the recording of several biomedical signals to dispose of multiple sources of information to perform a robust analysis. This is especially important in the analysis of the relationship between pressure, volume and flow, signals available from mechanical ventilators, and other biopotentials such as the electromyogram of respiratory muscles, intrinsically related with the ventilatory process, but not commonly recorded in the clinical practice. Despite the usefulness of recording signals from multiple sources, few medical devices include the possibility of synchronizing its data with other provided by different biomedical equipment and some may use inaccurate sampling frequencies. Even thought a variant or inaccurate sampling rate does not affect the monitoring of critical patients, it restricts the study of simultaneous related events useful in research of respiratory system activity. In this article a device for temporal synchronization of signals recorded from multiple biomedical devices is described as well as its application in the study of patients undergoing mechanical ventilation with research purposes.
Keywords :
biomedical equipment; electromyography; medical signal processing; patient monitoring; pneumodynamics; synchronisation; biomedical signal analysis; electro-pneumatic system; electromyogram; flow signal; mechanical ventilator; mechanically ventilated patients; pressure signal; respiratory muscles; respiratory system activity; synchronization system; temporal synchronization; volume signal; Correlation; Educational institutions; Frequency synchronization; Muscles; Synchronization; Time frequency analysis; Ventilation; Algorithms; Humans; Pattern Recognition, Automated; Respiration, Artificial; Signal Processing, Computer-Assisted;
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4244-4119-8
Electronic_ISBN :
1557-170X
DOI :
10.1109/EMBC.2012.6346335