Non-invasive blood pressure estimation from ECG using machine learning techniques

M Simjanoska, M Gjoreski, M Gams… - Sensors, 2018 - mdpi.com
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 …

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

M Simjanoska, S Kochev, J Tanevski, AM Bogdanova… - Information …, 2020 - Elsevier
The availability of commercial wearable bio-sensors provides an opportunity for developing
smart phone applications for real-time diagnosis that can be used to improve the health of …

Automatic measurement of end-diastolic arterial lumen diameter in ARTSENS

AK Sahani, J Joseph… - Journal of …, 2015 - asmedigitalcollection.asme.org
Over past few years, we are developing a system for facilitating large scale screening of
patients for cardiovascular risk—arterial stiffness evaluation for noninvasive screening …

Machine Learning and Electrocardiography Signal‐Based Minimum Calculation Time Detection for Blood Pressure Detection

M Nour, D Kandaz, MK Ucar, K Polat… - … Methods in Medicine, 2022 - Wiley Online Library
Objective. Measurement and monitoring of blood pressure are of great importance for
preventing diseases such as cardiovascular and stroke caused by hypertension. Therefore …

[PDF][PDF] Comparing Different Settings of Parameters Needed for Pre-processing of ECG Signals used for Blood Pressure Classification.

M Simjanoska, G Papa, B Korousic-Seljak, T Eftimov - BIOSIGNALS, 2019 - scitepress.org
Because a real-time monitoring using electrocardiogram (ECG) signals is a challenging
task, the preprocessing techniques used for ECG signal analysis are crucial for obtaining …

[PDF][PDF] Research Article Machine Learning and Electrocardiography Signal-Based Minimum Calculation Time Detection for Blood Pressure Detection

M Nour, D Kandaz, MK Ucar, K Polat, A Alhudhaif - 2022 - academia.edu
Objective. Measurement and monitoring of blood pressure are of great importance for
preventing diseases such as cardiovascular and stroke caused by hypertension. Therefore …

ECGpp: A Framework for Selecting the Pre-processing Parameters of ECG Signals Used for Blood Pressure Classification

M Simjanoska, G Papa, B Koroušić Seljak… - … Joint Conference on …, 2019 - Springer
There are many commercially available sensors for acquiring electrocardiogram (ECG)
signals, and the predictive analyses are extremely welcome for real-time monitoring in …

[引用][C] Elektrokardiyografi sinyali ile yapay zekâ tabanlı kan basıncı tespiti= Ai-based blood pressure detection with electrocardiography signal

D Kandaz - 2023 - Sakarya Üniversitesi