MLP-BP: A novel framework for cuffless blood pressure measurement with PPG and ECG signals based on MLP-Mixer neural networks

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A multi-type features fusion neural network for blood pressure prediction based on photoplethysmography

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A multistage deep neural network model for blood pressure estimation using photoplethysmogram signals

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Continuous blood pressure measurement from one-channel electrocardiogram signal using deep-learning techniques

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Investigation on the effect of Womersley number, ECG and PPG features for cuff less blood pressure estimation using machine learning

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Simulations of Blood Pressure and Identification of Atrial Fibrillation and Arterial Stiffness using an Extended Kalman Filter with Oscillometric Pulsation Measurements

(2020) David A. Hullender et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Continuous Blood Pressure Estimation From Electrocardiogram and Photoplethysmogram During Arrhythmias

(2020) ZengDing Liu et al.   Frontiers in Physiology

Deep learning models for cuffless blood pressure monitoring from PPG signals using attention mechanism

(2020) C El-Hajj et al.   Biomedical Signal Processing and Control

Estimation and Validation of Arterial Blood Pressure Using Photoplethysmogram Morphology Features in Conjunction With Pulse Arrival Time in Large Open Databases

(2020) Seungman Yang et al.   IEEE Journal of Biomedical and Health Informatics

Cuffless blood pressure estimation from electrocardiogram and photoplethysmogram using waveform based ANN-LSTM network

(2019) Md. Sayed Tanveer et al.   Biomedical Signal Processing and Control

How Effective Is Pulse Arrival Time for Evaluating Blood Pressure? Challenges and Recommendations from a Study Using the MIMIC Database

(2019) Yongbo Liang et al.   Journal of Clinical Medicine

Implementation and validation of real-time algorithms for atrial fibrillation detection on a wearable ECG device

(2019) Italo Agustin Marsili et al.   COMPUTERS IN BIOLOGY AND MEDICINE

A chest-based continuous cuffless blood pressure method: Estimation and evaluation using multiple body sensors

(2019) Fatemeh Heydari et al.   Information Fusion

Multi-level information fusion for learning a blood pressure predictive model using sensor data

(2019) Monika Simjanoska et al.   Information Fusion

Non-Invasive Blood Pressure Estimation from ECG Using Machine Learning Techniques

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An optimal filter for short photoplethysmogram signals

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Accuracy of blood pressure monitoring devices: a critical need for improvement that could resolve discrepancy in hypertension guidelines

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A Novel Method for Continuous, Noninvasive, Cuff-Less Measurement of Blood Pressure: Evaluation in Patients With Nonalcoholic Fatty Liver Disease

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Cuffless Blood Pressure Estimation Algorithms for Continuous Health-Care Monitoring

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Spectral feature extraction of EEG signals and pattern recognition during mental tasks of 2-D cursor movements for BCI using SVM and ANN

(2016) M. Serdar Bascil et al.   AUSTRALASIAN PHYSICAL & ENGINEERING SCIENCES IN MEDICINE

Blood pressure lowering for prevention of cardiovascular disease and death: a systematic review and meta-analysis

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Multi-channel EEG signal feature extraction and pattern recognition on horizontal mental imagination task of 1-D cursor movement for brain computer interface

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A Study on Hepatitis Disease Diagnosis Using Multilayer Neural Network with Levenberg Marquardt Training Algorithm

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