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

• 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/28429/1/50.%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; http://umpir.ump.edu.my/id/eprint/28429/; https://doi.org/10.1145/3397391.3397394

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...