Cuffless Blood Pressure Monitor for Home and Hospital Use

Sensors, Journal Year: 2025, Volume and Issue: 25(3), P. 640 - 640

Published: Jan. 22, 2025

Cardiovascular diseases, particularly hypertension, pose a significant threat to global health, often referred as “silent killer”. Traditional cuff-based blood pressure monitors have limitations in terms of convenience and continuous monitoring capabilities. As an alternative, cuffless offer promising approach for the detection prevention hypertension. Despite their potential, achieving clinical performance standards remains challenge. This review focuses on principles device, current research development, devices that are currently approved medical devices. Then, we describe measures meet home requirements. In addition, provide thoughts validating accuracy hospital setting.

Language: Английский

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Assessing the Efficacy of Various Machine Learning Algorithms in Predicting Blood Pressure Using Pulse Transit Time

Diagnostics, Journal Year: 2025, Volume and Issue: 15(3), P. 261 - 261

Published: Jan. 23, 2025

Background/Objectives: This study investigates the potential of Pulse Transit Time (PTT) derived from Impedance Plethysmography (IPG), Photoplethysmography (PPG), and Electrocardiography (ECG) for non-invasive cuffless blood pressure monitoring. IPG measures volume changes through electrical conductivity, while PPG detects variations in microvascular flow, providing essential insights wearable health monitoring devices. Methods: Data were collected 100 healthy participants under resting post-exercise conditions using a custom system synchronized with ECG, PPG, readings to create controlled variations. Machine learning models, including Random Forest, Logistic Regression, Support Vector Classifier, K-Neighbors, applied predict categories based on PTT cardiovascular features. Results: Among various machine models evaluated, Forest demonstrated effective performance, achieving an overall accuracy 90%. The model also exhibited robustness, effectively handling challenge unbalanced classes, 95% confidence interval (CI) ranging 80% 95%. indicates its reliability across different data splits despite class imbalance. Notably, emerged as critical predictive feature, further enhancing model’s ability accurately classify solidifying utility Conclusions: findings affirm efficacy measurements IPG, ECG reliable predictors substantiates integration these techniques into devices, offering significant advancement continuous, cuffless, assessment.

Language: Английский

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Flexible electronics for cardiovascular monitoring on complex physiological skins

iScience, Journal Year: 2024, Volume and Issue: 27(9), P. 110707 - 110707

Published: Aug. 12, 2024

Cardiovascular diseases (CVDs) pose a significant global health threat, responsible for considerable portion of worldwide mortality. Flexible electronics enable continuous, noninvasive, real-time, and portable monitoring, providing an ideal platform personalized healthcare. Nevertheless, challenges persist in sustaining stable adherence across diverse intricate skin environments, hindering further advancement toward clinical applications. Strategies such as structural design chemical modification can significantly enhance the environmental adaptability monitoring performance flexible electronics. This review delineates processing techniques, including modification, to mitigate signal interference from sebaceous skin, motion artifacts motion, infection risks fragile thereby enabling accurate key cardiovascular indicators complex physiological environments. Moreover, it delves into potential strategic development improvement ensure their alignment with environment requirements, facilitating transition

Language: Английский

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Highly durable MXene-based pressure sensor enabled by homogeneous interfacial locking

Wearable electronics., Journal Year: 2024, Volume and Issue: 1, P. 236 - 243

Published: Nov. 14, 2024

Language: Английский

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