Using neural network with random weights and mutual information for systolic peaks classification of PPG signals

Using neural network with random weights and mutual information for systolic peaks classification of PPG signals

The detection of peaks in photoplethysmogram (PPG) signals is important to ensure the information gather from the peaks in accurate manner. The false peaks will interrupt the accuracy for future classification of any related events. This study presents the implementation of feature enhancement metho...

Full description

Bibliographic Details
Main Authors: Muhammad Haziq, Mohd Rasid, Noor Liza, Simon, Asrul, Adam
Format: Conference or Workshop Item
Language:English
English
Published: Association for Computing Machinery, New York, United States 2020
Subjects:
TS Manufactures
Online Access:http://umpir.ump.edu.my/id/eprint/28429/
http://umpir.ump.edu.my/id/eprint/28429/1/50.%20Using%20neural%20network%20with%20random%20weights%20and%20mutual%20information.pdf
http://umpir.ump.edu.my/id/eprint/28429/2/50.1%20Using%20neural%20network%20with%20random%20weights%20and%20mutual%20information.pdf

Similar Items

Similar Items