Shulou(Shulou.com)11/24 Report--

CTOnews.com, May 23-A team of engineers at the University of California, San Diego has developed a fully integrated wearable ultrasound system that can be used for deep tissue monitoring and exercise. This autonomous wearable ultrasound patch system (USoP) builds on the team's previous work on soft ultrasound sensor design, which can wirelessly sense vital signs in deep tissue. In the past, soft ultrasonic sensors need tethered cables to transmit data and power, which limits the mobility of users to a great extent.

The new system includes a small flexible control circuit that communicates with the ultrasonic transducer array, collects and transmits data wirelessly, and machine learning components help interpret the data and track subjects in motion. According to laboratory data, the system can continuously track physiological signals of tissue up to 164mm deep, and continuously measure blood pressure, heart rate, cardiac output and other physiological signals for up to 12 hours.

The researchers say the technology has great potential to improve lives and even save lives, driving advances in life-saving cardiovascular monitoring technology. The sensor can be used to evaluate human cardiovascular function during exercise. When people are resting or exercising, abnormal blood pressure and cardiac output are signs of heart failure. For healthy people, the new equipment can measure cardiovascular responses during exercise in real time, so as to gain insight into everyone's actual exercise intensity, and then develop personalized training plans.

In addition, USoP also represents a breakthrough in the development of the Internet of things in medicine, that is, physiological signals are wirelessly transmitted to the cloud for computing, analysis and professional diagnosis. When the wearer moves, the relative motion occurs between the wearable ultrasonic sensor and the target. The team developed a machine learning algorithm to automatically analyze the received signal and select the most appropriate channel to track the moving target without frequent manual adjustment.

The research, published in the 22nd issue of the journal Nature Biotechnology, CTOnews.com is optimistic about the technology and believes it will be a promising future for health care and fitness.

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