[HTML][HTML] Emerging sensing and modeling technologies for wearable and cuffless blood pressure monitoring
Cardiovascular diseases (CVDs) are a leading cause of death worldwide. For early
diagnosis, intervention and management of CVDs, it is highly desirable to frequently monitor …
diagnosis, intervention and management of CVDs, it is highly desirable to frequently monitor …
Assessing hemodynamics from the photoplethysmogram to gain insights into vascular age: a review from VascAgeNet
The photoplethysmogram (PPG) signal is widely measured by clinical and consumer
devices, and it is emerging as a potential tool for assessing vascular age. The shape and …
devices, and it is emerging as a potential tool for assessing vascular age. The shape and …
Monitoring blood pressure and cardiac function without positioning via a deep learning–assisted strain sensor array
Continuous and reliable monitoring of blood pressure and cardiac function is of great
importance for diagnosing and preventing cardiovascular diseases. However, existing …
importance for diagnosing and preventing cardiovascular diseases. However, existing …
[HTML][HTML] Continuous blood pressure estimation using exclusively photopletysmography by LSTM-based signal-to-signal translation
LN Harfiya, CC Chang, YH Li - Sensors, 2021 - mdpi.com
Monitoring continuous BP signal is an important issue, because blood pressure (BP) varies
over days, minutes, or even seconds for short-term cases. Most of photoplethysmography …
over days, minutes, or even seconds for short-term cases. Most of photoplethysmography …
MLP-BP: A novel framework for cuffless blood pressure measurement with PPG and ECG signals based on MLP-Mixer neural networks
High blood pressure (BP) is a major source of death worldwide as it slows down the flow of
blood and oxygen, and leads to various chronic diseases such as chest pain (angina), heart …
blood and oxygen, and leads to various chronic diseases such as chest pain (angina), heart …
Monitoring and analysis of cardiovascular pulse waveforms using flexible capacitive and piezoresistive pressure sensors and machine learning perspective
The growing interest in flexible electronics for physiological monitoring, particularly using
flexible pressure sensors for cardiovascular pulse waveforms monitoring, has potential …
flexible pressure sensors for cardiovascular pulse waveforms monitoring, has potential …
A new deep learning framework based on blood pressure range constraint for continuous cuffless BP estimation
Y Chen, D Zhang, HR Karimi, C Deng, W Yin - Neural Networks, 2022 - Elsevier
Blood pressure (BP) is known as an indicator of human health status, and regular
measurement is helpful for early detection of cardiovascular diseases. Traditional …
measurement is helpful for early detection of cardiovascular diseases. Traditional …
NABNet: A Nested Attention-guided BiConvLSTM network for a robust prediction of Blood Pressure components from reconstructed Arterial Blood Pressure waveforms …
Abstract Background and Motivations: Continuous Blood Pressure (BP) monitoring is crucial
for real-time health tracking, especially for people with hypertension and cardiovascular …
for real-time health tracking, especially for people with hypertension and cardiovascular …
Ppg2abp: Translating photoplethysmogram (ppg) signals to arterial blood pressure (abp) waveforms using fully convolutional neural networks
Cardiovascular diseases are one of the most severe causes of mortality, taking a heavy toll
of lives annually throughout the world. The continuous monitoring of blood pressure seems …
of lives annually throughout the world. The continuous monitoring of blood pressure seems …
Deep generative model with domain adversarial training for predicting arterial blood pressure waveform from photoplethysmogram signal
K Qin, W Huang, T Zhang - Biomedical Signal Processing and Control, 2021 - Elsevier
Abstract Background and Motivations: Continuous blood pressure (BP) monitoring is of
critical importance to health state tracking and disease prevention. However, current …
critical importance to health state tracking and disease prevention. However, current …