In this research unit, our goal is to sense objects and areas that have been impossible to measure until now. To realize it, we bring knowledge and technology about flexible ultrasonic sensors, high-performance electric circuits, visualization technology, and machine learning.

The sol-gel composite spray ultrasonic piezoelectric transducer developed by Tanabe and Kobayashi is flexible and extremely thinner than conventional piezoelectric sensors, making it an effective patch type sensor. Yamakawa is developing electronic circuit devices that transmit and receive ultrasonic pulses and circuits that wirelessly transfer echo signals to an analysis computer.

In our team unit, we are developing a patch-type wireless ultrasonic sensor and ultrasound and ECG signals are used and the measurement results will be automatically classified into three cardiac abnormalities: coronary artery disease (CAD), myocardial infarction (MI), and congestive heart failure (CHF), by machine learning by Dr. Acharya and Mr. Oh, Ngee Ann Polytechnic, Singapore, with advice from MD Tan.