PulseDB: A large, cleaned dataset based on MIMIC-III and VitalDB for benchmarking cuff-less blood pressure estimation methods
There has been a growing interest in developing cuff-less blood pressure (BP) estimation
methods to enable continuous BP monitoring from electrocardiogram (ECG) and/or …
methods to enable continuous BP monitoring from electrocardiogram (ECG) and/or …
IMSF-Net: An improved multi-scale information fusion network for PPG-based blood pressure estimation
D Wang, Y Ye, B Zhang, J Sun, C Zhang - Biomedical Signal Processing …, 2024 - Elsevier
Recently, deep learning (DL) architectures have been widely used for PPG-based blood
pressure (BP) monitoring due to their powerful feature extraction ability. However, the DL …
pressure (BP) monitoring due to their powerful feature extraction ability. However, the DL …
A review of machine learning methods for non-invasive blood pressure estimation
Blood pressure is a very important clinical measurement, offering valuable insights into the
hemodynamic status of patients. Regular monitoring is crucial for early detection, prevention …
hemodynamic status of patients. Regular monitoring is crucial for early detection, prevention …
Prediction of arterial blood pressure waveforms based on multi-task learning
G Ma, L Zheng, W Zhu, X Xing, L Wang, Y Yu - … Signal Processing and …, 2024 - Elsevier
Background Continuous and regular blood pressure (BP) monitoring has great significance
for the prevention and treatment of cardiovascular diseases. Arterial blood pressure (ABP) …
for the prevention and treatment of cardiovascular diseases. Arterial blood pressure (ABP) …
Large Language Models for Cuffless Blood Pressure Measurement From Wearable Biosignals
Large language models (LLMs) have captured significant interest from both academia and
industry due to their impressive performance across various textual tasks. However, the …
industry due to their impressive performance across various textual tasks. However, the …
Self-Supervised Learning for Biomedical Signal Processing: A Systematic Review on ECG and PPG Signals
C Wu, C Ding - medRxiv, 2024 - medrxiv.org
Self-supervised learning has emerged as a promising paradigm for enhancing the analysis
of physiological signals, particularly Electrocardiogram (ECG) and Photoplethysmogram …
of physiological signals, particularly Electrocardiogram (ECG) and Photoplethysmogram …
Advancing cuffless blood pressure estimation: A PPG-based multi-task learning model for enhanced feature extraction and fusion
H Xiao, A Zhao, W Song, T Liu, L Long, Y Li… - … Signal Processing and …, 2024 - Elsevier
Cuffless continuous blood pressure (BP) monitoring is essential for personalized health
management. Although existing cuffless BP estimation applies advanced machine learning …
management. Although existing cuffless BP estimation applies advanced machine learning …
TransfoRhythm: A Transformer Architecture Conductive to Blood Pressure Estimation via Solo PPG Signal Capturing
A Arjomand, A Boudesh, F Bayatmakou… - arXiv preprint arXiv …, 2024 - arxiv.org
Recent statistics indicate that approximately 1.3 billion individuals worldwide suffer from
hypertension, a leading cause of premature death globally. Blood pressure (BP) serves as a …
hypertension, a leading cause of premature death globally. Blood pressure (BP) serves as a …
Improving PPG Signal Classification with Machine Learning: The Power of a Second Opinion
H Asgharnezhad, A Shamsi… - … on Digital Signal …, 2023 - ieeexplore.ieee.org
Photoplethysmography (PPG) is a non-invasive technique that uses light to measure blood
volume changes in tissues. It is widely used in clinical settings for monitoring vital signs such …
volume changes in tissues. It is widely used in clinical settings for monitoring vital signs such …