主 講 人：Peng Un Mak

地　　點(diǎn)：國(guó)家大學(xué)科技園陽(yáng)光樓北612

主 辦 方：物理與信息工程學(xué)院

開(kāi)始時(shí)間：2017-10-28 10:00

結(jié)束時(shí)間：2017-10-28 11:00

Time-Effect Bit Error Rate Estimation Approach Using Jitter Characteristics for Human Body Channel

主講人：Peng Un Mak，教授，澳門(mén)大學(xué)科技學(xué)院電機(jī)與電腦系

地　　點(diǎn)：國(guó)家大學(xué)科技園陽(yáng)光樓北612

主辦方：物理與信息工程學(xué)院，福建省醫(yī)療器械和醫(yī)藥技術(shù)重點(diǎn)實(shí)驗(yàn)室

開(kāi)始時(shí)間：2017-10-28 10:00

結(jié)束時(shí)間：2017-10-28 11:00

摘要：As a physical layer of Body Area Network (BAN), Human Body Communication (HBC) has become a prospective candidate with advantages of less interference and intrinsic transmission for implanted devices. Currently, its Bit Error Rate (BER) performance has not been thoroughly reported with high confidence

because the traditional BER testing method in commonly used wireless radio and optical system communication, if directly applying in human body channel, is both time-consuming and problematic due to significant physiological limitations. In this article, a time-efficient approach using jitter characteristics is proposed to tackle this problem. To practically measure the BER in HBC channel, experiments based on human arms are carried out with 600 records of jitter data (5 subjects, 3 modulation schemes, 4 separation distances, and 10 transmit power levels). By using both normal probability plot and Kolmogorov-Smirnov (K-S) test, we found that the HBC experimental jitter data mainly followed normal distribution. Additionally, the comparison between estimated BERs using our approach matches well with those via the theoretical predictions based on Additive White Gaussian Noise (AWGN) channel. Finally, the proposed approach can be an effective measurement method not only for the BER of body channel, but also applicable in other similar low rate systems.