Systolic and diastolic multiclass classification of PPG signals using neural network with random weight
Photoplethysmography (PPG) signals can be defined as a type of signal which obtained through a noninvasive optical method that contains information of the cardiovascular system such as arterial blood pressure, tissue perfusion, heart rate and respiratory rate. Due to its noninvasive characteristics...
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Main Authors: | Tan, Jiun Hann, Noor liza, Simon, Asrul, Adam |
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Format: | Conference or Workshop Item |
Language: | English English |
Published: |
IEEE
2019
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Subjects: | |
Online Access: | http://umpir.ump.edu.my/id/eprint/27704/1/43.%20Systolic%20and%20diastolic%20multiclass%20classification%20of%20PPG.pdf http://umpir.ump.edu.my/id/eprint/27704/2/43.1%20Systolic%20and%20diastolic%20multiclass%20classification%20of%20PPG.pdf http://umpir.ump.edu.my/id/eprint/27704/ https://doi.org/10.1109/SSCI44817.2019.9002876 |
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