An adaptive neuro-fuzzy inference system for sleep spindle detection

被引：0

作者：

Liang, Sheng-Fu ^{[1
]}

Kuo, Chih-En ^{[1
]}

Hu, Yu-Han ^{[1
]}

Chen, Chun-Yu ^{[1
]}

Li, Yu-Hung ^{[1
]}

机构：

[1] Natl Cheng Kung Univ, Dept Comp Sci & Informat, Tainan 70101, Taiwan

来源：

2012 INTERNATIONAL CONFERENCE ON FUZZY THEORY AND ITS APPLICATIONS (IFUZZY2012) | 2012年

关键词：

Automatic sleep spindle detection; Adaptive neuro-fuzzy inference system; EEG; NETWORKS; EEG;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, an adaptive neuro-fuzzy inference system (ANFIS) for sleep spindle detection was developed. Two input variables including teager energy operator (TEO) and sigma index analyses of the EEG signals were extracted. 1180 training samples (0.5 s) of 15 subjects were used to ANFIS training, include 397 spindle and 783 non-spindle waveform. Then the 1519 epochs (30s) of other 15 subjects were used to evaluate the performance of ANFIS. The overall sensitivity and specificity of the ANFIS are 94.09% and 96.76%, respectively. Although the overall false positive rate is 38.58%, spindle and non-spindle successful detection rate could almost reach 90% for each subject. This method can integrate with various PSG systems for sleep monitoring in cognitive enhancements or sleep efficiency.

引用

页码：369 / 373

页数：5

共 50 条

[31] Adaptive Neuro-Fuzzy Inference System for Classification of ECG Signal
Muthuvel, K.
Suresh, L. Padma
PROCEEDINGS OF 2013 INTERNATIONAL CONFERENCE ON CIRCUITS, POWER AND COMPUTING TECHNOLOGIES (ICCPCT 2013), 2013, : 1162 - 1166
[32] Dynamic modelling of PEMFC by adaptive neuro-fuzzy inference system
Karimi, Milad
Rezazadeh, Alireza
INTERNATIONAL JOURNAL OF ELECTRIC AND HYBRID VEHICLES, 2016, 8 (04) : 289 - 301
[33] Geoacoustic inversion using adaptive neuro-fuzzy inference system
Yegireddi, Satyanarayana
Kumar, Arvind
COMPUTATIONAL GEOSCIENCES, 2008, 12 (04) : 513 - 523
[34] FORECASTING THE RAINFALL DATA BY ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM
Yarar, Alpaslan
Onucyildiz, Mustafa
Sevimli, M. Faik
SGEM 2009: 9TH INTERNATIONAL MULTIDISCIPLINARY SCIENTIFIC GEOCONFERENCE, VOL II, CONFERENCE PROCEEDING: MODERN MANAGEMENT OF MINE PRODUCING, GEOLOGY AND ENVIRONMENTAL PROTECTION, 2009, : 191 - +
[35] The Application of Adaptive Neuro-Fuzzy Inference System in Lithology Identification
Jia, HuanJun
2012 IEEE FIFTH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTATIONAL INTELLIGENCE (ICACI), 2012, : 966 - 968
[36] Adaptive Neuro-Fuzzy Inference System for Assessing the Maintainability of the Software
Therasa, P. R.
Vivekanandan, P.
2017 NINTH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTING (ICOAC), 2017, : 204 - 212
[37] Image Interpolation Based on Adaptive Neuro-Fuzzy Inference System
Maleki, Shiva Aghapour
Tinati, Mohammad Ali
Tazehkand, Behzad Mozaffari
2019 3RD INTERNATIONAL CONFERENCE ON IMAGING, SIGNAL PROCESSING AND COMMUNICATION (ICISPC), 2019, : 78 - 84
[38] Adaptive neuro-fuzzy inference system for analysis of Doppler signals
Ubeyli, Elif Derya
2006 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Vols 1-15, 2006, : 1082 - 1085
[39] Illuminant Estimation Using Adaptive Neuro-Fuzzy Inference System
Luo, Yunhui
Wang, Xingguang
Wang, Qing
Chen, Yehong
APPLIED SCIENCES-BASEL, 2021, 11 (21):
[40] Seizure Prediction Using Adaptive Neuro-Fuzzy Inference System
Rabbi, Ahmed F.
Azinfar, Leila
Fazel-Rezai, Reza
2013 35TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2013, : 2100 - 2103

← 1 2 3 4 5 →