New progress in wearable blood pressure monitoring enabled by flexible electronics and machine learning

August 17, 2024 01:35 AM AEST | By EIN Presswire
 New progress in wearable blood pressure monitoring enabled by flexible electronics and machine learning
Image source: EIN Presswire

USA, August 16, 2024 /EINPresswire.com/ -- Wearable cuffless blood pressure monitoring is expected to overcome the discomfort caused to patients by commonly used cuff sphygmomanometers in clinical settings. Flexible electronics and machine learning provide new impetus for the development of wearable cuffless blood pressure monitoring, bringing continuous and comfortable blood pressure monitoring to patients.

Cardiovascular disease is the leading cause of death worldwide. Hypertension, as one of the predisposing factors of cardiovascular disease, is an important reason for the high incidence of cardiovascular disease. Actively preventing hypertension can greatly reduce the risk of cardiovascular disease.

At present, blood pressure monitoring is usually carried out using cuff sphygmomanometers in clinical practice. Inflation and deflation of the cuff during the measurement process may cause discomfort to patients. In addition, cuff-based blood pressure measurement is limited to providing intermittent measurement under static conditions, and real-time dynamic changes in blood pressure cannot be monitored and recorded. Therefore, wearable cuffless blood pressure monitoring contributes to continuous and comfortable blood pressure monitoring, playing a crucial role in the prevention and screening of hypertension and cardiovascular diseases.

In a review (https://doi.org/10.1016/j.wees.2024.05.004) published in the KeAi journal Wearable Electronics, a team of researchers from the Collaborative Innovation Center of Advanced Microstructures at Nanjing University looked at the progress of wearable cuffless blood pressure monitoring.

The authors focused on each aspect of realizing wearable cuffless blood pressure monitoring from a full-process perspective, and reviewed theoretical foundations, recent advances in wearable sensors facilitated by flexible electronics, and back-end signal processing of wearable cuffless blood pressure monitoring.

“The advancement of flexible electronics empowers health monitoring devices with enhanced portability, skin-friendliness, and wearing comfort, facilitating more efficient real-time wearable monitoring,” notes senior and co-corresponding author Lijia Pan. “Typically, wearable cuffless blood pressure monitoring integrates sensors, signal processing, and algorithms into a unified system for blood pressure estimation.”

Flexible electrodes, as well as flexible mechanical, optical and ultrasonic sensors offer a broad range of options for the sensors of wearable cuffless blood pressure monitoring. Concurrently, with the continuous development of machine learning, more accurate blood pressure estimation models can be constructed with the help of artificial neural network. The combination of textile triboelectric sensor, flexible strain sensor array, and graphene electronic tattoo with machine learning ensures the usability of wearable cuffless blood pressure monitoring in personalized medicine, which further improves the scope of the application of flexible electronics in wearable cuffless blood pressure monitoring.

“At the level of flexible sensors and systems, research on wearable cuffless blood pressure monitoring has achieved significant breakthroughs. However, further advancements are required to overcome its limitations before clinical applications can be realized,” concludes co-corresponding author Yi Shi.

DOI
10.1016/j.wees.2024.05.004

Original Source URL
https://doi.org/10.1016/j.wees.2024.05.004

Funding information
This work was supported by the National Key Research and Development Program of China under Grant No. 2021YFA1401103; The National Science Fund for Distinguished Young Scholars under Grant No. 61825403; The National Natural Science Foundation of China under Grants No. 61921005 and 61674078.

Lucy Wang
BioDesign Research
email us here


Disclaimer

The content, including but not limited to any articles, news, quotes, information, data, text, reports, ratings, opinions, images, photos, graphics, graphs, charts, animations and video (Content) is a service of Kalkine Media Pty Ltd (“Kalkine Media, we or us”), ACN 629 651 672 and is available for personal and non-commercial use only. The principal purpose of the Content is to educate and inform. The Content does not contain or imply any recommendation or opinion intended to influence your financial decisions and must not be relied upon by you as such. Some of the Content on this website may be sponsored/non-sponsored, as applicable, but is NOT a solicitation or recommendation to buy, sell or hold the stocks of the company(s) or engage in any investment activity under discussion. Kalkine Media is neither licensed nor qualified to provide investment advice through this platform. Users should make their own enquiries about any investments and Kalkine Media strongly suggests the users to seek advice from a financial adviser, stockbroker or other professional (including taxation and legal advice), as necessary.
The content published on Kalkine Media also includes feeds sourced from third-party providers. Kalkine does not assert any ownership rights over the content provided by these third-party sources. The inclusion of such feeds on the Website is for informational purposes only. Kalkine does not guarantee the accuracy, completeness, or reliability of the content obtained from third-party feeds. Furthermore, Kalkine Media shall not be held liable for any errors, omissions, or inaccuracies in the content obtained from third-party feeds, nor for any damages or losses arising from the use of such content.
Kalkine Media hereby disclaims any and all the liabilities to any user for any direct, indirect, implied, punitive, special, incidental or other consequential damages arising from any use of the Content on this website, which is provided without warranties. The views expressed in the Content by the guests, if any, are their own and do not necessarily represent the views or opinions of Kalkine Media. Some of the images/music that may be used on this website are copyrighted to their respective owner(s). Kalkine Media does not claim ownership of any of the pictures displayed/music used on this website unless stated otherwise. The images/music that may be used on this website are taken from various sources on the internet, including paid subscriptions or are believed to be in public domain. We have made reasonable efforts to accredit the source wherever it was indicated as or found to be necessary.
This disclaimer is subject to change without notice. Users are advised to review this disclaimer periodically for any updates or modifications.


AU_advertise

Advertise your brand on Kalkine Media

Sponsored Articles


Investing Ideas

Previous Next
We use cookies to ensure that we give you the best experience on our website. If you continue to use this site we will assume that you are happy with it.