Related references
Note: Only part of the references are listed.Hybrid machine learning-enabled multi-information fusion for indirect measurement of tool flank wear in milling
Zhiwen Huang et al.
MEASUREMENT (2023)
Systolic blood pressure estimation using ECG and PPG in patients undergoing surgery
Shaoxiong Sun et al.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2023)
Comparison of feature selection methods for mapping soil organic matter in subtropical restored forests
Yang Chen et al.
ECOLOGICAL INDICATORS (2022)
Cuffless Blood Pressure Estimation Based on Monte Carlo Simulation Using Photoplethysmography Signals
Chowdhury Azimul Haque et al.
SENSORS (2022)
A Novel Clustering-Based Algorithm for Continuous and Noninvasive Cuff-Less Blood Pressure Estimation
Ali Farki et al.
JOURNAL OF HEALTHCARE ENGINEERING (2022)
MLP-BP: A novel framework for cuffless blood pressure measurement with PPG and ECG signals based on MLP-Mixer neural networks
Bin Huang et al.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2022)
Attention-based residual improved U-Net model for continuous blood pressure monitoring by using photoplethysmography signal
Mingzheng Yu et al.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2022)
An Integration of feature extraction and Guided Regularized Random Forest feature selection for Smartphone based Human Activity Recognition
Dipanwita Thakur et al.
JOURNAL OF NETWORK AND COMPUTER APPLICATIONS (2022)
Landslide risk prediction by using GBRT algorithm: Application of artificial intelligence in disaster prevention of energy mining
Song Jiang et al.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION (2022)
A Blood Pressure Prediction Method Based on Imaging Photoplethysmography in combination with Machine Learning
Meng Rong et al.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2021)
An Adaptive Weight Learning-Based Multitask Deep Network for Continuous Blood Pressure Estimation Using Electrocardiogram Signals
Xiaomao Fan et al.
SENSORS (2021)
An Estimation Method of Continuous Non-Invasive Arterial Blood Pressure Waveform Using Photoplethysmography: A U-Net Architecture-Based Approach
Tasbiraha Athaya et al.
SENSORS (2021)
Enhancement of blood pressure estimation method via machine learning
Nashat Maher et al.
ALEXANDRIA ENGINEERING JOURNAL (2021)
Building energy optimization using Grey Wolf Optimizer (GWO)
Mehdi Ghalambaz et al.
CASE STUDIES IN THERMAL ENGINEERING (2021)
A multi-type features fusion neural network for blood pressure prediction based on photoplethysmography
Meng Rong et al.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2021)
Cuffless blood pressure estimation from PPG signals and its derivatives using deep learning models
C. El-Hajj et al.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2021)
A hybrid neural network for continuous and non-invasive estimation of blood pressure from raw electrocardiogram and photoplethysmogram waveforms
Stephanie Baker et al.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2021)
Performance prediction of proton-exchange membrane fuel cell based on convolutional neural network and random forest feature selection
Weiwei Huo et al.
ENERGY CONVERSION AND MANAGEMENT (2021)
Perioperative Continuous Noninvasive Arterial Pressure Monitoring for Neuroendovascular Interventions: Prospective Study for Evaluation of the Vascular Unloading Technique
Alejandro Bugarini et al.
WORLD NEUROSURGERY (2021)
Prediction and analysis of net ecosystem carbon exchange based on gradient boosting regression and random forest
Jianchao Cai et al.
APPLIED ENERGY (2020)
Blood pressure estimation with complexity features from electrocardiogram and photoplethysmogram signals
Sen Yang et al.
OPTICAL AND QUANTUM ELECTRONICS (2020)
A review of machine learning techniques in photoplethysmography for the non-invasive cuff-less measurement of blood pressure
C. El-Hajj et al.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2020)
A multistage deep neural network model for blood pressure estimation using photoplethysmogram signals
Jamal Esmaelpoor et al.
COMPUTERS IN BIOLOGY AND MEDICINE (2020)
Estimating Blood Pressure from the Photoplethysmogram Signal and Demographic Features Using Machine Learning Techniques
Moajjem Hossain Chowdhury et al.
SENSORS (2020)
Continuous blood pressure measurement from one-channel electrocardiogram signal using deep-learning techniques
Fen Miao et al.
ARTIFICIAL INTELLIGENCE IN MEDICINE (2020)
Lifespan prediction of lithium-ion batteries based on various extracted features and gradient boosting regression tree model
Fangfang Yang et al.
JOURNAL OF POWER SOURCES (2020)
Homecare-Oriented Intelligent Long-Term Monitoring of Blood Pressure Using Electrocardiogram Signals
Xiaomao Fan et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2020)
A Non-Invasive Continuous Blood Pressure Estimation Approach Based on Machine Learning
Shuo Chen et al.
SENSORS (2019)
A Universal Standard for the Validation of Blood Pressure Measuring Devices Association for the Advancement of Medical Instrumentation/European Society of Hypertension/International Organization for Standardization (AAMI/ESH/ISO) Collaboration Statement
George S. Stergiou et al.
HYPERTENSION (2018)
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
Amina Adadi et al.
IEEE ACCESS (2018)
Blood Pressure Estimation Using Photoplethysmography Only: Comparison between Different Machine Learning Approaches
Syed Ghufran Khalid et al.
JOURNAL OF HEALTHCARE ENGINEERING (2018)
Advanced Bio-Inspired System for Noninvasive Cuff-Less Blood Pressure Estimation from Physiological Signal Analysis
Francesco Rundo et al.
COMPUTATION (2018)
Techniques for Non-Invasive Monitoring of Arterial Blood Pressure
Agnes S. Meidert et al.
FRONTIERS IN MEDICINE (2018)
Cuffless Blood Pressure Estimation Algorithms for Continuous Health-Care Monitoring
Mohammad Kachuee et al.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2017)
Optical blood pressure estimation with photoplethysmography and FFT-based neural networks
Xiaoman Xing et al.
BIOMEDICAL OPTICS EXPRESS (2016)
A new estimate technology of non-invasive continuous blood pressure measurement based on electrocardiograph
Chung-Min Wu et al.
ADVANCES IN MECHANICAL ENGINEERING (2016)
Grey Wolf Optimizer
Seyedali Mirjalili et al.
ADVANCES IN ENGINEERING SOFTWARE (2014)
On the Analysis of Fingertip Photoplethysmogram Signals
Mohamed Elgendi
CURRENT CARDIOLOGY REVIEWS (2012)
Time-frequency analysis of variabilities of heart rate, systolic blood pressure and pulse transit time before and after exercise using the recursive autoregressive model
Q. Liu et al.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2011)
Validation of Datascope Accutorr PlusTM using British Hypertension Society (BHS) and Association for the Advancement of Medical Instrumentation (AAMI) protocol guidelines
Rajab Ali Khawaja et al.
JOURNAL OF THE SAUDI HEART ASSOCIATION (2010)