Patent ID: 8762308
Filing Date: 2014-06-24
Classification: A61B,G06K,G16H,G16Z

Abstract:
1. A real-time decision-support system for predicting hemorrhagic shock of a patient comprising: means for receiving electrocardiogram (ECG) signals from the patient; means for receiving transcranial Doppler (TCD) signals from the patient; first bandpass filter for filtering the ECG signals; second bandpass filter for filtering the TCD signals; first means using Discrete Wavelet Transform (DWT) to decompose filtered ECG signals to generate a first set of wavelet coefficients and selecting significant signal features from the first set of wavelet coefficients; second means using DWT to decompose filtered TCD signals to generate a second set of wavelet coefficients and selecting significant signal features from the second set of wavelength coefficients; data processing means receiving significant signal features and, using machine learning, evaluating and classifying hypovolemia severity based on the selected significant signal features generated from the wavelet coefficients of input ECG and TCD signals from the patient; and a display for displaying a classification of blood loss severity.