title: Application of the Empirical Mode Decomposition in the study of murmurs from Arteriovenous fistula stenosis.
abstract: The Empirical Mode Decomposition (EMD) is a method to decompose non linear, non stationary time series into a sum of different modes, named Intrinsical Mode Functions each one having a characteristic frequency. In the present work we used the EMD to investigate the properties of the recorded sounds from the Arteriovenous fistula on hemodialysis patients. Phonoangiographic signals coming from two different vessel conditions, stenotic and non-stenotic, were analyzed by using EMD, the mean energy and mean instantaneous frequency per IMF proved to be good features for classification. Three types of classification schemes were tested on data from the first IMf features achieving good results.
authors.affiliation: UNI-Asdi-FEC Group, Faculty of Electrical Engineering and Computer Science, National University of Engineering, Managua, Nicaragua. pvo@eit.lth.se
authors.forename: Pablo
authors.initials: P
authors.lastname: Vasquez
authors.forename: Munguia M
authors.initials: MM
authors.lastname: Marco
authors.forename: Elisabeth
authors.initials: E
authors.lastname: Mattsson
authors.forename: Bengt
authors.initials: B
authors.lastname: Mandersson
mesh_terms: D000465:Algorithms; D001166:Arteriovenous Shunt, Surgical / Q000009:adverse effects*; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D006337:Heart Murmurs / Q000175:diagnosis*; D006801:Humans; D010701:Phonocardiography / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013018:Sound Spectrography / Q000379:methods; D014689:Venous Insufficiency / Q000175:diagnosis* / Q000209:etiology*