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...
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| Main Authors: | , , |
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| 格式: | Conference or Workshop Item |
| 語言: | English English |
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Association for Computing Machinery, New York, United States
2020
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| 主題: | |
| 在線閱讀: | 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 |
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http://umpir.ump.edu.my/id/eprint/28429/1/50.%20Using%20neural%20network%20with%20random%20weights%20and%20mutual%20information.pdfhttp://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