We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us
ARAB HEALTH - INFORMA

Download Mobile App




Events

27 Jan 2025 - 30 Jan 2025
15 Feb 2025 - 17 Feb 2025

Wearable Piezoelectric Blood Pressure Sensor Could Help Predict Stroke or Heart Failure

By HospiMedica International staff writers
Posted on 18 Apr 2023
Print article
Image: Schematic illustration of the overall concept for a wearable piezoelectric blood pressure sensor (Photo courtesy of KAIST)
Image: Schematic illustration of the overall concept for a wearable piezoelectric blood pressure sensor (Photo courtesy of KAIST)

Blood pressure serves as a vital metric for evaluating overall health and forecasting the risk of stroke or heart failure. As the primary cause of worldwide mortality, cardiovascular disease necessitates regular blood pressure monitoring for effective personal healthcare. The demand for continuous blood pressure monitoring devices has risen in recent years. While LED-based photoplethysmography (PPG) technology in smartwatches has been available, their optical sensor limitations hinder their ability to meet international standards for automatic sphygmomanometers. Now, researchers have developed a highly sensitive, wearable piezoelectric blood pressure sensor and validated its accuracy through clinical trials.

To create the wearable piezoelectric blood pressure sensor, scientists at the Korea Advanced Institute of Science and Technology (KAIST, Daejeon, Korea) transferred an ultra-sensitive, inorganic piezoelectric membrane from bulk sapphire substrates to flexible ones. These ultrathin piezoelectric sensors, only a few micrometers thick (one hundred times thinner than a human hair), establish a conformal contact with the skin, enabling the accurate capture of blood pressure from the subtle pulsations in blood vessels. Clinical trials confirmed the sensor's accuracy, adhering to international standards with deviations within ±5 mmHg and a standard deviation below 8 mmHg for both systolic and diastolic blood pressure. Furthermore, the research team successfully integrated the sensor into a watch-style device for facilitating continuous blood pressure monitoring.

“Major target of our healthcare devices is hypertensive patients for their daily medical check-up. We plan to develop a comfortable patch-type sensor to monitor blood pressure during sleep and have a start-up company commercialize these watch and patch-type products soon,” said KAIST Professor Keon Jae Lee who led the collaborative research team.

Related Links:
KAIST 

Gold Member
STI Test
Vivalytic Sexually Transmitted Infection (STI) Array
Gold Member
SARS‑CoV‑2/Flu A/Flu B/RSV Sample-To-Answer Test
SARS‑CoV‑2/Flu A/Flu B/RSV Cartridge (CE-IVD)
New
Mobile Power Procedure Chair
LeMans P360
New
Computed Tomography System
Aquilion ONE / INSIGHT Edition

Print article

Channels

Surgical Techniques

view channel
Image: The surgical team and the Edge Multi-Port Endoscopic Surgical Robot MP1000 surgical system (Photo courtesy of Wei Zhang)

Endoscopic Surgical System Enables Remote Robot-Assisted Laparoscopic Hysterectomy

Telemedicine enables patients in remote areas to access consultations and treatments, overcoming challenges related to the uneven distribution and availability of medical resources. However, the execution... Read more

Patient Care

view channel
Image: The portable biosensor platform uses printed electrochemical sensors for the rapid, selective detection of Staphylococcus aureus (Photo courtesy of AIMPLAS)

Portable Biosensor Platform to Reduce Hospital-Acquired Infections

Approximately 4 million patients in the European Union acquire healthcare-associated infections (HAIs) or nosocomial infections each year, with around 37,000 deaths directly resulting from these infections,... Read more

Health IT

view channel
Image: First ever institution-specific model provides significant performance advantage over current population-derived models (Photo courtesy of Mount Sinai)

Machine Learning Model Improves Mortality Risk Prediction for Cardiac Surgery Patients

Machine learning algorithms have been deployed to create predictive models in various medical fields, with some demonstrating improved outcomes compared to their standard-of-care counterparts.... Read more

Point of Care

view channel
Image: The acoustic pipette uses sound waves to test for biomarkers in blood (Photo courtesy of Patrick Campbell/CU Boulder)

Handheld, Sound-Based Diagnostic System Delivers Bedside Blood Test Results in An Hour

Patients who go to a doctor for a blood test often have to contend with a needle and syringe, followed by a long wait—sometimes hours or even days—for lab results. Scientists have been working hard to... Read more
Copyright © 2000-2024 Globetech Media. All rights reserved.