Distinguished Professor Chao Chang-Po of the NCTU Department of Electrical and Computer Engineering and his team has developed a non-invasive hand-held AI blood flow volume meter. It is the world’s first such meter. The meter integrates PPG optical technology, AI model and big data analysis, and can detect venous fistula condition in dialysis patients in just 10 seconds. Compared with the Doppler and HD03 instruments used in large hospitals for detecting fistula obstruction, the accuracy of our measuring device is 91%.
Chao emphasized that many physiological measuring devices on the market also adopt the PPG principle, such as the Apple Watch and smart bracelet; However, unlike these devices, the measuring device we developed uses a longer wavelength to detect blood flow signals from blood vessels in deeper layers.” In addition to blood flow, it can also detect continuous heart rate, blood pressure and atrial fibrillation data.
This measuring device is also light and handy. It is only half the size of a mobile phone and easy for people to operate on their own. Coupled with a mobile app, the handheld device needs to be held on the wrist for only 10 seconds. The data is then transmitted via cloud for analysis, and the results of the blood vessel status can be directly displayed on the app. If abnormalities are detected, the information can be linked to the hospital system to notify the doctor so that arrangement for medicine or surgery to dredge the fistula vessels can be made as soon as possible. “The advantage is that unlike having to wait 1 to 3 months to go to a hospital to use the large instruments, people can measure their condition at home every day.”
Read more: https://www.nctu.edu.tw/press/5799
