PAUL SUSHMITA,CHOUDHURY ANIRBAN DUTTA,DATTA SHREYASI,PAL ARPAN,BANERJEE ROHAN,Mandana Kayapanda
申请号：
IN201721006574
公开号：
IN201721006574A
申请日:
2017.02.23
申请国别(地区):
IN
年份:
2018
代理人:
摘要：
A method and system for blood pressure (BP) estimation of a person is provided. The system is estimating pulse transit time (PTT) using the ECG signal and PPG signal of the person. A plurality of features are extracted from the PPG. The plurality of PPG features and the PTT are provided as inputs to an automated feature selection algorithm. This algorithm selects a set of features suitable for BP estimation. The selected features are fed to a classifier to classify the database into low/normal BP range and a high BP range. The correctly classified normal BP data are then used to create a regression model to predict BP from the selected features. The current methodology uses automated feature selection mechanism and also employs a block to reject extreme BP data. Thus the available accuracy in predicting BP is expected to be more than the existing BP estimation methods.
