School of Biological Science and Medical Engineering, Beihang University, Beijing, China.

Speech Title: Motion artifacts elimination algorithm based on the wearable pulse detector
Abstract: With the development of wearable medical devices, it provides a more convenient approach for people to monitor their state of health. However, there are still many difficulties to obtain physiological information with wearable devices during daily activities, due to the motion interference. Pulse is a commonly used signal collected by wearable devices, since it is easy to acquire, and it contains abundant physiological information. The paper proposed a motion artifacts elimination algorithm, based on the pulse signal acquired at the wrist. The algorithm is able to remove the motion interference, and helps to extract more physiological parameters from the pulse signal, such as dicrotic wave arrival time (DWAT). In this paper, the pulse signal was acquired in a variety forms of movement, processed with our motion artifacts elimination algorithm, and compared with the signal acquired in state of rest.