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...
| Main Authors: | , , |
|---|---|
| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
IEEE
2019
|
| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/27704/ 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 |