Multichannel lung sound analysis for asthma detection

[1]  Jr. Henry Gong,et al.  Wheezing and Asthma , 2020, Berkowitz’s Pediatrics Instructor’s Guide.

[2]  Goutam Saha,et al.  Lung sound classification using cepstral-based statistical features , 2016, Comput. Biol. Medicine.

[3]  Bruno Henrique Groenner Barbosa,et al.  Classification of lung sounds using higher-order statistics: A divide-and-conquer approach , 2016, Comput. Methods Programs Biomed..

[4]  José Antonio Fiz,et al.  Automatic Differentiation of Normal and Continuous Adventitious Respiratory Sounds Using Ensemble Empirical Mode Decomposition and Instantaneous Frequency , 2016, IEEE Journal of Biomedical and Health Informatics.

[5]  Patrice Flaud,et al.  Wheezing recognition algorithm using recordings of respiratory sounds at the mouth in a pediatric population , 2016, Comput. Biol. Medicine.

[6]  R. Rangayyan,et al.  Biomedical Signal Analysis , 2015 .

[7]  Semra Içer,et al.  Classification and analysis of non-stationary characteristics of crackle and rhonchus lung adventitious sounds , 2014, Digit. Signal Process..

[8]  Goutam Saha,et al.  Detection of Lungs Status Using Morphological Complexities of Respiratory Sounds , 2014, TheScientificWorldJournal.

[9]  Kenneth Sundaraj,et al.  Computer-based Respiratory Sound Analysis: A Systematic Review , 2013 .

[10]  T. Aljama-Corrales,et al.  Linear and Nonlinear Analysis of Base Lung Sound in Extrinsic Allergic Alveolitis Patients in Comparison to Healthy Subjects , 2013, Methods of Information in Medicine.

[11]  A. Ghasemi,et al.  Normality Tests for Statistical Analysis: A Guide for Non-Statisticians , 2012, International journal of endocrinology and metabolism.

[12]  Sonia Charleston-Villalobos,et al.  Assessment of multichannel lung sounds parameterization for two-class classification in interstitial lung disease patients , 2011, Comput. Biol. Medicine.

[13]  Chih-Jen Lin,et al.  LIBSVM: A library for support vector machines , 2011, TIST.

[14]  Jean-Philippe Vert,et al.  The Influence of Feature Selection Methods on Accuracy, Stability and Interpretability of Molecular Signatures , 2011, PloS one.

[15]  Ali Abbas,et al.  An Automated Computerized Auscultation and Diagnostic System for Pulmonary Diseases , 2010, Journal of Medical Systems.

[16]  Michael R. King,et al.  Numerical and Statistical Methods for Bioengineering: Applications in MATLAB , 2010 .

[17]  X. Zhang,et al.  The Association between Crime and Adult Asthma Severity , 2010 .

[18]  G. Chang,et al.  Performance evaluation and enhancement of lung sound recognition system in two real noisy environments , 2010, Comput. Methods Programs Biomed..

[19]  Mohammed Bahoura,et al.  Pattern recognition methods applied to respiratory sounds classification into normal and wheeze classes , 2009, Comput. Biol. Medicine.

[20]  T. Omachi,et al.  Poor outcomes and asthma hospitalisations: How important is asthma severity and how do we measure it? , 2009, Allergologia et immunopathologia.

[21]  V. Plaza,et al.  Relationship between the characteristics of hospitalised acute asthma patients and the severity of their asthma. A case-control study. , 2009, Allergologia et immunopathologia.

[22]  Euripidis Loukis,et al.  Support Vectors Machine-based identification of heart valve diseases using heart sounds , 2009, Comput. Methods Programs Biomed..

[23]  P Nohama,et al.  Method for automatic detection of wheezing in lung sounds. , 2009, Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologicas.

[24]  Robin S Everhart,et al.  Asthma severity and child quality of life in pediatric asthma: a systematic review. , 2009, Patient education and counseling.

[25]  J. Ekstein,et al.  Breath sound distribution images of patients with pneumonia and pleural effusion. , 2007, Respiratory care.

[26]  Igor Kononenko,et al.  Machine Learning and Data Mining: Introduction to Principles and Algorithms , 2007 .

[27]  S. Hurd,et al.  GINA guidelines on asthma and beyond * , 2007, Allergy.

[28]  Sao-Jie Chen,et al.  WHEEZE RECOGNITION BASED ON 2D BILATERAL FILTERING OF SPECTROGRAM , 2006 .

[29]  J. A. Richards.  Office spirometry—indications and limitations , 2006 .

[30]  Hüseyin Polat,et al.  Combining Neural Network and Genetic Algorithm for Prediction of Lung Sounds , 2005, Journal of Medical Systems.

[31]  N. Malmurugan,et al.  Neural classification of lung sounds using wavelet coefficients , 2004, Comput. Biol. Medicine.

[32]  Samuel Hellman,et al.  Receiver operating characteristic analysis: a general tool for DNA array data filtration and performance estimation. , 2003, Genomics.

[33]  Zahra Moussavi,et al.  Relationship between airflow and normal lung sounds , 2002, IEEE CCECE2002. Canadian Conference on Electrical and Computer Engineering. Conference Proceedings (Cat. No.02CH37373).

[34]  E. H. Dooijes,et al.  Asthmatic airways obstruction assessment based on detailed analysis of respiratory sound spectra , 2000, IEEE Transactions on Biomedical Engineering.

[35]  R. Jane,et al.  Algorithm for time-frequency detection and analysis of wheezes , 2000, Proceedings of the 22nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (Cat. No.00CH37143).

[36]  E. H. Dooijes,et al.  Classification of Asthmatic Breath Sounds: Preliminary Results of the Classifying Capacity of Human Examiners versus Artificial Neural Networks , 1999, Comput. Biomed. Res..

[37]  P Caminal,et al.  Analysis of tracheal sounds during forced exhalation in asthma patients and normal subjects: bronchodilator response effect. , 1999, Chest.

[38]  H S Fraser,et al.  An artificial neural network system for diagnosis of acute myocardial infarction (AMI) in the accident and emergency department: evaluation and comparison with serum myoglobin measurements. , 1997, Computer methods and programs in biomedicine.

[39]  D. Scuse,et al.  A comparison of neural network models for wheeze detection , 1995, IEEE WESCANEX 95. Communications, Power, and Computing. Conference Proceedings.

[40]  A R Sovijärvi,et al.  Frequency distribution of breath sounds as an indicator of bronchoconstriction during histamine challenge test in asthmatic children , 1994, Pediatric pulmonology.

[41]  J Vanderschoot,et al.  Abnormal lung sounds in patients with asthma during episodes with normal lung function. , 1994, Chest.

[42]  M. F. Møller.  A Scaled Conjugate Gradient Algorithm for Fast Supervised Learning , 1990 .

[43]  R. Beckerman,et al.  Continuous Adventitious Lung Sounds: Site and Method of Production and Significance , 1985 .

[44]  Beat Kleiner,et al.  Graphical Methods for Data Analysis , 1983 .

[45]  P. Welch.  The use of fast Fourier transform for the estimation of power spectra: A method based on time averaging over short, modified periodograms , 1967 .

[46]  Babak Mohammadzadeh Asl,et al.  Automated diagnosis of coronary artery disease (CAD) patients using optimized SVM , 2017, Comput. Methods Programs Biomed..

[47]  M. Asher,et al.  The Global Asthma Report 2014 , 2014 .

[48]  Rajkumar Palaniappan,et al.  Machine learning in lung sound analysis: a systematic review , 2013 .

[49]  A. Mathai,et al.  Understanding and using sensitivity, specificity and predictive values , 2008, Indian journal of ophthalmology.

[50]  Vladimir Vapnik,et al.  Support-vector networks , 2004, Machine Learning.

[51]  K. Das.  Textbook of medicine, Volumes 1 and 2. , 2002 .

[52]  M Nissan,et al.  Respiratory health screening using pulmonary function tests and lung sound analysis. , 1994, The European respiratory journal.

[53]  P Piirilä,et al.  Changes in frequency spectra of breath sounds during histamine challenge test in adult asthmatics and healthy control subjects. , 1994, Chest.

[54]  R. Urquhart,et al.  The diagnostic value of pulmonary sounds: a preliminary study by computer-aided analysis. , 1981, Computers in biology and medicine.

[55]  F. Harris.  On the use of windows for harmonic analysis with the discrete Fourier transform , 1978, Proceedings of the IEEE.

[56]  David G. Stork,et al.  Pattern Classification , 1973 .