Artificial Neural Networks for Acoustic Lung Signals Classification

被引：0

作者：

Orjuela-Canon, Alvaro D. ^{[1
]}

Gomez-Cajas, Diego F. ^{[1
]}

Jimenez-Moreno, Robinson ^{[2
]}

机构：

[1] Univ Antonio Narino, Elect & Biomed Fac, GIBIO, Bogota, Colombia

[2] Univ Antonio Narino, GRITEL, Dept Elect Engn, Bogota, Colombia

来源：

PROGRESS IN PATTERN RECOGNITION IMAGE ANALYSIS, COMPUTER VISION, AND APPLICATIONS, CIARP 2014 | 2014年 / 8827卷

关键词：

Artificial Neural Networks; Multilayer Perceptron; Mel Frequency Cepstral Coefficients; Acoustic Lung Signals; SOUNDS;

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：

A classification of acoustic lung signals for the respiratory disease diagnosis problem is studied in the present work. Models based on artificial neural networks, using Mel Frequency Cepstral Coefficients for training are employed in this task. Results show that neural networks are comparable, and in some cases better, with other classification techniques as Gaussian Mixture Models, that work on the same database.

引用

页码：214 / 221

页数：8

共 50 条

[41] Forearm Movements Classification of EMG Signals Using Hilbert Huang Transform and Artificial Neural Networks
Kukker, Amit
Sharma, Rajneesh
Malik, Hasmat
2016 IEEE 7TH POWER INDIA INTERNATIONAL CONFERENCE (PIICON), 2016,
[42] A nondestructive testing technique for composite panels using tap test acoustic signals and artificial neural networks
Falk, Jeffrey P.
Steck, James E.
Smith, Bert L.
Steck, J.E. (steck@ae.wichita.edu), 1600, Taylor and Francis Inc. (05): : 491 - 506
[43] MORPHOLOGICAL CLASSIFICATION OF GALAXIES BY ARTIFICIAL NEURAL NETWORKS
STORRIE-LOMBARDI, MC
LAHAV, O
SODRE, L
STORRIE-LOMBARDI, LJ
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, 1992, 259 (01) : P8 - P12
[44] The application of Artificial Neural Networks to stellar classification
Jones, CAL
Irwin, M
vonHippel, T
ASTRONOMICAL DATA ANALYSIS SOFTWARE AND SYSTEMS V, 1996, 101 : 21 - 24
[45] Plant Classification Using Artificial Neural Networks
Pacifico, Luciano D. S.
Macario, Valmir
Oliveira, Joao F. L.
2018 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2018,
[46] The application of artificial neural networks to astronomical classification
Naim, A
OBSERVATORY, 1996, 116 (1131): : 118 - 119
[47] Surface classification using artificial neural networks
Mainsah, E
Ndumu, DT
Ndumu, AN
THREE-DIMENSIONAL IMAGING AND LASER-BASED SYSTEMS FOR METROLOGY AND INSPECTION II, 1997, 2909 : 139 - 150
[48] DATA CLASSIFICATION BASED ON ARTIFICIAL NEURAL NETWORKS
Gu, Xiao-Feng
Liu, Lin
Li, Jian-Ping
Huang, Yuan-Yuan
Lin, Jie
2008 INTERNATIONAL CONFERENCE ON APPERCEIVING COMPUTING AND INTELLIGENCE ANALYSIS (ICACIA 2008), 2008, : 223 - 226
[49] Atrial fibrillation classification with artificial neural networks
Kara, Sadik
Okandan, Mustafa
PATTERN RECOGNITION, 2007, 40 (11) : 2967 - 2973
[50] ARTIFICIAL NEURAL NETWORKS FOR MEDICAL CLASSIFICATION DECISIONS
KATTAN, MW
BECK, JR
ARCHIVES OF PATHOLOGY & LABORATORY MEDICINE, 1995, 119 (08) : 672 - 677

← 1 2 3 4 5 →