A Signal Processing Approach for Detection of Hemodynamic Instability before DecompensationReport as inadecuate




A Signal Processing Approach for Detection of Hemodynamic Instability before Decompensation - Download this document for free, or read online. Document in PDF available to download.

Advanced hemodynamic monitoring is a critical component of treatment in clinical situations where aggressive yet guided hemodynamic interventions are required in order to stabilize the patient and optimize outcomes. While there are many tools at a physician’s disposal to monitor patients in a hospital setting, the reality is that none of these tools allow hi-fidelity assessment or continuous monitoring towards early detection of hemodynamic instability. We present an advanced automated analytical system which would act as a continuous monitoring and early warning mechanism that can indicate pending decompensation before traditional metrics can identify any clinical abnormality. This system computes novel features or bio-markers from both heart rate variability HRV as well as the morphology of the electrocardiogram ECG. To compare their effectiveness, these features are compared with the standard HRV based bio-markers which are commonly used for hemodynamic assessment. This study utilized a unique database containing ECG waveforms from healthy volunteer subjects who underwent simulated hypovolemia under controlled experimental settings. A support vector machine was utilized to develop a model which predicts the stability or instability of the subjects. Results showed that the proposed novel set of features outperforms the traditional HRV features in predicting hemodynamic instability.



Author: Ashwin Belle , Sardar Ansari, Maxwell Spadafore, Victor A. Convertino, Kevin R. Ward, Harm Derksen, Kayvan Najarian

Source: http://plos.srce.hr/



DOWNLOAD PDF




Related documents