[HTML][HTML] Blind, cuff-less, calibration-free and continuous blood pressure estimation using optimized inductive group method of data handling
MR Mohebbian, A Dinh, K Wahid, MS Alam - Biomedical Signal Processing …, 2020 - Elsevier
Traditionally, blood pressure (BP) is measured by cuff-based instruments, which is
inconvenient and does not allow continuous measurement. In fact, continuous blood …
inconvenient and does not allow continuous measurement. In fact, continuous blood …
Multi-sensor fusion approach for cuff-less blood pressure measurement
Ambulatory blood pressure (BP) provides valuable information for cardiovascular risk
assessment. The present cuff-based devices are intrusive for longterm BP monitoring …
assessment. The present cuff-based devices are intrusive for longterm BP monitoring …
Non-invasive cuff-less blood pressure estimation using a hybrid deep learning model
S Yang, Y Zhang, SY Cho, R Correia… - Optical and Quantum …, 2021 - Springer
Conventional blood pressure (BP) measurement methods have different drawbacks such as
being invasive, cuff-based or requiring manual operations. There is significant interest in the …
being invasive, cuff-based or requiring manual operations. There is significant interest in the …
Non-invasive blood pressure estimation from ECG using machine learning techniques
Background: Blood pressure (BP) measurements have been used widely in clinical and
private environments. Recently, the use of ECG monitors has proliferated; however, they are …
private environments. Recently, the use of ECG monitors has proliferated; however, they are …
Concatenated convolutional neural network model for cuffless blood pressure estimation using fuzzy recurrence properties of photoplethysmogram signals
AB Malayeri, MB Khodabakhshi - Scientific reports, 2022 - nature.com
Due to the importance of continuous monitoring of blood pressure (BP) in controlling
hypertension, the topic of cuffless BP estimation has been widely studied in recent years. A …
hypertension, the topic of cuffless BP estimation has been widely studied in recent years. A …
Oscillometric blood pressure estimation based on deep learning
Oscillometric measurement is widely used to estimate systolic blood pressure (SBP) and
diastolic blood pressure (DBP). In this paper, we propose a deep belief network (DBN)-deep …
diastolic blood pressure (DBP). In this paper, we propose a deep belief network (DBN)-deep …
End-to-end blood pressure prediction via fully convolutional networks
S Baek, J Jang, S Yoon - Ieee Access, 2019 - ieeexplore.ieee.org
Cardiovascular disease is the leading cause of death in the world. It is vital to prevent it by
rapid diagnosis and appropriate management through periodic blood pressure (BP) …
rapid diagnosis and appropriate management through periodic blood pressure (BP) …
Blood pressure estimation using photoplethysmography only: comparison between different machine learning approaches
Introduction. Blood pressure (BP) has been a potential risk factor for cardiovascular
diseases. BP measurement is one of the most useful parameters for early diagnosis …
diseases. BP measurement is one of the most useful parameters for early diagnosis …
PPG-based blood pressure estimation can benefit from scalable multi-scale fusion neural networks and multi-task learning
The continuous measurement of blood pressure (BP) plays an important role in preventing
cardiovascular diseases. However, common cuff-based devices with cumbersome …
cardiovascular diseases. However, common cuff-based devices with cumbersome …
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 …