Deep Learning Classification of Photoplethysmogram Signal for Hypertension Levels
Continuous photoplethysmography (PPG)-based blood pressure monitoring is necessary for
healthcare and fitness applications. In Artificial Intelligence (AI), signal classification levels …
healthcare and fitness applications. In Artificial Intelligence (AI), signal classification levels …
Optimized deep neural network models for blood pressure classification using Fourier analysis-based time–frequency spectrogram of photoplethysmography signal
Appropriate blood pressure (BP) management through continuous monitoring and rapid
diagnosis helps to take preventive care against cardiovascular diseases (CVD). As …
diagnosis helps to take preventive care against cardiovascular diseases (CVD). As …
Improving the accuracy in classification of blood pressure from photoplethysmography using continuous wavelet transform and deep learning
J Wu, H Liang, C Ding, X Huang… - International journal …, 2021 - Wiley Online Library
Background. Continuous wavelet transform (CWT) based scalogram can be used for
photoplethysmography (PPG) signal transformation to classify blood pressure (BP) with …
photoplethysmography (PPG) signal transformation to classify blood pressure (BP) with …
Noninvasive classification of blood pressure based on photoplethysmography signals using bidirectional long short-term memory and time-frequency analysis
The photoplethysmography (PPG) method for continuous noninvasive measurements of
blood pressure (BP) offers a more comfortable solution than conventional methods. The …
blood pressure (BP) offers a more comfortable solution than conventional methods. The …
Blood pressure estimation and classification using a reference signal-less photoplethysmography signal: a deep learning framework
The markers that help to predict th function of a cardiovascular system are hemodynamic
parameters like blood pressure (BP), stroke volume, heart rate, and cardiac output …
parameters like blood pressure (BP), stroke volume, heart rate, and cardiac output …
Photoplethysmography and deep learning: enhancing hypertension risk stratification
Blood pressure is a basic physiological parameter in the cardiovascular circulatory system.
Long-term abnormal blood pressure will lead to various cardiovascular diseases, making …
Long-term abnormal blood pressure will lead to various cardiovascular diseases, making …
[PDF][PDF] Blood Pressure and Heart Rate Measurements Using Photoplethysmography with Modified LRCN.
CT Yen, CH Liao - Computers, Materials & Continua, 2022 - cdn.techscience.cn
In this study, single-channel photoplethysmography (PPG) signals were used to estimate the
heart rate (HR), diastolic blood pressure (DBP), and systolic blood pressure (SBP). A deep …
heart rate (HR), diastolic blood pressure (DBP), and systolic blood pressure (SBP). A deep …
Cuffless blood pressure estimation from photoplethysmography using deep convolutional neural network and transfer learning
HM Koparır, Ö Arslan - Biomedical Signal Processing and Control, 2024 - Elsevier
Blood pressure (BP) monitoring is an essential indicator for diseases of the cardiovascular
system. Early detection of abnormalities in BP helps to significantly reduce the risk of …
system. Early detection of abnormalities in BP helps to significantly reduce the risk of …
Hypertension classification using PPG signals
A growing number of people throughout the world are suffering from cardiovascular
disorders like hypertension. Photoplethysmography (PPG) signals are a noninvasive …
disorders like hypertension. Photoplethysmography (PPG) signals are a noninvasive …
An Artificial Intelligence-Based Photoplethysmography Analysis for Continuous Blood Pressure Measurement Using a Combinatory Deep Learning Structure
MR Peyghan, M Fallahi, S Ghaemmaghami… - Available at SSRN … - papers.ssrn.com
Blood Pressure (BP) is one of major criteria for detecting and monitoring health status to
make possible early diagnosis of issues with vital organs in the body. Most of the previously …
make possible early diagnosis of issues with vital organs in the body. Most of the previously …
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