Publications by authors named "Yong-Bo Liang"
Physiol Meas
February 2017
Article Synopsis
- The text discusses a new method to monitor blood glucose (BG) levels non-invasively, using a mixed signal processor (MSP430) microcontroller to reduce the risks associated with traditional glucose testing methods.
- It mentions the system's reliance on various physiological parameters such as blood oxygen saturation, heart rate, and blood flow, along with a novel algorithm (DCBPN) that combines decision tree and neural network approaches for accurate predictions.
- The results from 400 clinical trials show that this non-invasive BG detection system can achieve an accuracy of 88.53%, indicating its potential for reliable use among diabetic patients and other individuals.
