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
Sign In
Advertise with Us

Download Mobile App




Coin-Sized Wearable Biosensing Platform Continuously Monitors Biosignals in Blood

By HospiMedica International staff writers
Posted on 15 Aug 2022
Print article
Image: New coin-sized system can read weak electrochemical signals (Photo courtesy of The University of Hong Kong)
Image: New coin-sized system can read weak electrochemical signals (Photo courtesy of The University of Hong Kong)

Organic electrochemical transistors are widely considered to be the next-generation sensing technology because of their water stability and high sensitivity at low operating voltage (milli-volts) but, until now, lacked a miniaturized wireless system to operate within. Now, researchers have developed a coin-sized system that can read weak electrochemical signals, which can be used for personalized health monitoring and measurement of such conditions as diabetes, cardiovascular diseases and mental health.

The PERfECT System – an acronym for Personalized Electronic Reader for Electrochemical Transistors – developed by researchers at The University of Hong Kong (Hong Kong) is the world’s smallest system of its kind, measuring 1.5 cm x 1.5 cm x 0.2 cm and weighing only 0.4 grams. It is easily wearable, for instance integrated with a smartwatch or as a patch, to allow for continuous monitoring of biosignals such as glucose levels and antibody concentrations in blood and even sweat.

The PERfECT wearable system can precisely characterize the overall performance of the electrochemical transistor, with a data sampling rate as high as 200 kilosamples per second – a performance on par with bulky commercial equipment. But the price is only one-tenth of the commercial one. It can also serve as a miniaturized electrochemical station for wearable devices and measure the outputs of other kinds of low-voltage transistors, such as electrolyte-gated field effect transistors and high-k dielectric-gated thin-film transistors. The system could be applied immediately in multiple wearable systems that are based on low-voltage transistors.

“Our wearable system is tiny, soft and imperceptible to wearers, and it can do continuous monitoring of our body condition. These features mean it has the potential to revolutionize healthcare technology,” said Dr. Shiming Zhang of the Department of Electrical and Electronic Engineering, who is leading the HKU WISE (wearable, intelligent and soft electronics) Research Group to develop the system.

Related Links:
The University of Hong Kong

Gold Member
Solid State Kv/Dose Multi-Sensor
AGMS-DM+
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)
Silver Member
Wireless Mobile ECG Recorder
NR-1207-3/NR-1207-E
New
Examination Table
Powerline Backrest Top

Print article

Channels

Surgical Techniques

view channel
Image: NTT and Olympus have begun the world\'s first joint demonstration experiment of a cloud endoscopy system (Photo courtesy of Olympus)

Cloud Endoscopy System Enables Real-Time Image Processing on the Cloud

Endoscopes, which are flexible tubes inserted into the body's natural openings for internal examination and biopsy collection, are becoming increasingly vital in medical diagnostics. Their minimal invasiveness... Read more

Patient Care

view channel
Image: The newly-launched solution can transform operating room scheduling and boost utilization rates (Photo courtesy of Fujitsu)

Surgical Capacity Optimization Solution Helps Hospitals Boost OR Utilization

An innovative solution has the capability to transform surgical capacity utilization by targeting the root cause of surgical block time inefficiencies. Fujitsu Limited’s (Tokyo, Japan) Surgical Capacity... 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 PATHFAST hs-cTnI-II high-sensitivity troponin assay has been developed for the PATHFAST Biomarker Analyzer (Photo courtesy of Polymedco)

POC Myocardial Infarction Test Delivers Results in 17 Minutes

Chest pain is the second leading cause of emergency department (ED) visits by adults in the United States, generating over 7 million visits annually. In the event of a suspected heart attack, physicians... Read more
Copyright © 2000-2024 Globetech Media. All rights reserved.