Flexible weaving constructed self‐powered pressure sensor enabling continuous diagnosis of cardiovascular disease and measurement of cuffless blood pressure

K Meng, J Chen, X Li, Y Wu, W Fan… - Advanced Functional …, 2019 - Wiley Online Library
Pulse wave carries comprehensive information regarding the human cardiovascular system
(CS), which is essential for directly capturing CS parameters. More importantly, cuffless …

Continuous blood pressure monitoring as a basis for ambient assisted living (AAL)–review of methodologies and devices

A Stojanova, S Koceski, N Koceska - Journal of medical systems, 2019 - Springer
Blood pressure (BP) is a bio-physiological signal that can provide very useful information
regarding human's general health. High or low blood pressure or its rapid fluctuations can …

Non-invasive continuous blood pressure measurement based on mean impact value method, BP neural network, and genetic algorithm

X Tan, Z Ji, Y Zhang - Technology and Health Care, 2018 - content.iospress.com
BACKGROUND: Non-invasive continuous blood pressure monitoring can provide an
important reference and guidance for doctors wishing to analyze the physiological and …

Current Developments in Cuff-Free Non-invasive Continuous Blood Pressure Estimation Using Photoplethysmography

S Sarkar, SK Pahuja - Biomedical Materials & Devices, 2024 - Springer
Abstract Continuous Blood Pressure monitoring is an important topic of research to improve
healthcare sector worldwide. Complexity of blood pressure mechanism makes non-invasive …

Cuff-less continuous blood pressure measurement based on multiple types of information fusion

S Yin, G Li, Y Luo, L Lin - Biomedical Signal Processing and Control, 2021 - Elsevier
Non-invasive and cuff-less real-time continuous blood pressure monitoring plays an
important role in both intensive care unit (ICU) and the management of chronic diseases …

Cuffless blood pressure prediction from PPG using relevance vector machine

S Shobitha, PM Amita, BN Krupa… - … Conference on Electrical …, 2017 - ieeexplore.ieee.org
Blood pressure is an important parameter in monitoring and non-invasive diagnosis of
cardiovascular disease. It can be estimated by analyzing photoplethysmogram (PPG) …

Gesture recognition of wrist motion based on wearables sensors

MN Rylo, RLP de Medeiros, VF de Lucena Jr - Procedia Computer Science, 2022 - Elsevier
This paper aims to evaluate two machine learning techniques using low-frequency
photoplethysmography (PPG) associated with motion sensors, accelerometers and …

Recognizing cardiovascular risk from photoplethysmogram signals using ELM

S Shobitha, R Sandhya, MAM Ali - 2016 Second International …, 2016 - ieeexplore.ieee.org
In this paper, photoplethysmogram (PPG) signals, 30 healthy and 30 pathological, are
classified ashealthy'orat risk'of cardiovascular diseases (CVDs) using extreme learning …

[PDF][PDF] Machine learning for blood pressure classification using only the ECG signal

A Shabaan, A Sharawi - Journal of engineering and applied …, 2020 - researchgate.net
Continuous reading of vital signs in the Intensive Care Unit plays a major role for the
physician, which allows him to intervene in a timely manner. Thus, continuous blood …

Wearable blood pressure monitoring system

JU Knickerbocker, HM Lee, KW Lee - US Patent 10,531,797, 2020 - Google Patents
An apparatus includes one or more memories storing com puter readable code and
processor (s). The processor (s), in response to loading and executing the computer …