Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Ying-Huang Chen"'
Publikováno v:
IEEE Transactions on Biomedical Engineering. 63:2108-2118
Objective: In this paper, the genetic fuzzy inference system based on expert knowledge for automatic sleep staging was developed. Methods: Eight features, including temporal and spectrum analyses of the EEG and EMG signals, were utilized as the input
Publikováno v:
2017 IEEE International Magnetics Conference (INTERMAG).
This paper proposes a by incorporating estimated models of simulate thyroid tissue and thyroid electromagnetic inducted ablation needle, the medical personnel can obtain the operating parameters of an electromagnetic heating machine, such as the appl
Autor:
Sheng-Fu Liang, Fu-Zen Shaw, Chung-Ping Young, Jing-Jhong Chen, Yu-Cheng Hsu, Chun-Yu Chen, Da-Wei Chang, Ying-Huang Chen, You-De Liu
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 61:1933-1944
In recent years, an increasing number of people suffer from sleep disorders. Polysomnography (PSG) is commonly used in hospitals or sleep centers to diagnose sleep disorders because it continuously and simultaneously records multiple physiological si
Publikováno v:
FUZZ-IEEE
In this paper, a fuzzy inference system for sleep staging was developed. Nine input variables including temporal and spectrum analyses of the EEG, EOG, and EMG signals were extracted and normalization was applied to these variables to reduce the effe
Publikováno v:
2011 IEEE International Conference on Fuzzy Systems (FUZZ); 2011, p2104-2107, 4p
Autor:
Da-Wei Chang, You-De Liu, Chung-Ping Young, Jing-Jhong Chen, Ying-Huang Chen, Chun-Yu Chen, Yu-Cheng Hsu, Fu-Zen Shaw, Sheng-Fu Liang
Publikováno v:
IEEE Transactions on Instrumentation & Measurement; Jul2012, Vol. 61 Issue 7, p1933-1944, 12p