How Can Band-aid Sensors Help In Acquiring Accurate Health Data?

By MedTech Outlook | Wednesday, January 22, 2020

Sensors have always played a considerable part in the medical industry. This time scientists have again come up with a new sensor-embedded innovation.

FREMONT, CA: In the past few years, there has been a considerable enhancement in the medical field that has increased life expectancy. Besides, these advancements have also empowered scientists to find appropriate diagnoses for some non-curable diseases. Recently, a patch-based health diagnosis sensor system has been developed by the scientists at DGIST and Sungkyunkwan University in Korea. The novel feature of this system is that it gets easily attached to the skin, similar to a band-aid. The sensor allocates different health information in real-time by supervising biosignals and specific movements.

In this research, a stable structure was created for sensors to function without damage in spite of extreme body movements. Additionally, the researcher team improvised the sensors’ vertical elasticity by applying a zig-zag paper craft structure for the sensor to better endure intense body movements.

The patch-based sensor is made up of a material that is waterproof as well as biometric-friendly. This feature helps in untangling the complexities and difficulties faced while acquiring accurate information because of the skin-attachment issue. The additional benefit provided by this sensor is that it can be connected to a smartphone by using Bluetooth. It allows the biometric data to be saved to a cloud server 24/7. This will allow a timely response to multiple emergencies like young children, infants, and elders living alone.

The primary purpose of this sensor development was to secure structural stability and skin adhesion that are capable of enduring very intensive physical movements. The sensor is also very beneficial since it possesses the ability to allocate various biodata information as long as it is attached to the skin like a band-aid. The researchers are also thinking of applying it for observing and monitoring animal and livestock diseases as well in the upcoming years.