题目/Title：Design and FPGA Implementation of an High Efficient XGBoost Based Sleep Staging Algorithm Using Single Channel EEG

作者/Author：
                        Yiqiao Liao,Milin Zhang ,Zhihua Wang,Xiang Xie

会议/Conference：ICCSIP 2018

地点/Location：Beijing, China

年份/Issue Date：2018.29 Nov.-1 Dec.

页码/pages：pp. 294 - 303

摘要/Abstract：
This paper proposed a high efficient 5-class sleep staging XGBoost based algorithm using a single channel electroencephalogram (EEG). The sum of spectrum absolute value, instead of Fast Fourier Transform (FFT) based spectral energy, was proposed for feature extraction, which greatly reduced the complexity. The system is synthesized using 0.18 μ m, and experimental verification using Field-Programmable Gate Array (FPGA) based on Sleep-EDF database. An overall accuracy (ACC) of 79.1% is achieved, which a highest ACC of 86.3% has been measured with specified patient.