title: Noise detection in heart sound recordings.
abstract: Coronary artery disease (CAD) is the leading cause of death in the United States. Although progression of CAD can be controlled using drugs and diet, it is usually detected in advanced stages when invasive treatment is required. Current methods to detect CAD are invasive and/or costly, hence not suitable as a regular screening tool to detect CAD in early stages. Currently, we are developing a noninvasive and cost-effective system to detect CAD using the acoustic approach. This method identifies sounds generated by turbulent flow through partially narrowed coronary arteries to detect CAD. The limiting factor of this method is sensitivity to noises commonly encountered in the clinical setting. Because the CAD sounds are faint, these noises can easily obscure the CAD sounds and make detection impossible. In this paper, we propose a method to detect and eliminate noise encountered in the clinical setting using a reference channel. We show that our method is effective in detecting noise, which is essential to the success of the acoustic approach.
authors.affiliation: University of Medicine and Dentistry of New Jersey – Graduate School of Biomedical Sciences and Rutgers, the State University of New Jersey, Piscataway, NJ, USA. mkhawarzia@gmail.com
authors.forename: Mohammad K
authors.initials: MK
authors.lastname: Zia
authors.forename: Benjamin
authors.initials: B
authors.lastname: Griffel
authors.forename: Vladimir
authors.initials: V
authors.lastname: Fridman
authors.forename: Cesare
authors.initials: C
authors.lastname: Saponieri
authors.forename: John L
authors.initials: JL
authors.lastname: Semmlow
mesh_terms: D000465:Algorithms; D016477:Artifacts; D003324:Coronary Artery Disease / Q000175:diagnosis*; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D006326:Heart Auscultation / Q000379:methods*; D006347:Heart Sounds; D006801:Humans; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D059629:Signal-To-Noise Ratio; D013018:Sound Spectrography / Q000379:methods*