02039nas a2200229   4500008004100000022001400041245008400055210006900139300001400208490000700222520132800229653002401557100002401581700001501605700002401620700002001644700001901664700002301683700001501706700001601721856007201737       2018                        eng d  a1746-809400aA novel heart-mobile interface for detection and classification of heart sounds0 anovel heartmobile interface for detection and classification of   a313 - 3240 v453 a<p>Abstract Diagnosis of heart disease requires that a medical practitioner investigate heart auscultations for irregular sounds, followed by echocardiography and electrocardiography tests. These expensive tests also require specialized technicians to operate. We present a low-cost, patient-centered device for the initial screening of the heart sounds that can be potentially used by the users on themselves. They can later share these readings with their healthcare providers. We have created an innovative mobile-health service platform for analyzing and classifying heart sounds. The presented system enables remote patient-monitoring by integrating advanced wireless communications with a customized low-cost stethoscope. This system also permits remote management of a patient’s cardiac status while maximizing patient mobility. The smartphone application facilitates recording, processing, visualizing, listening to, and classification of heart sounds. We build our classification model using the Mel-Frequency Cepstral Coefficient and Hidden Markov Model. This application is tested in a hospital environment to collect live recordings from patients with positive results. The smartphone application correctly detected 92.68% of abnormal heart conditions in clinical trials at \{UT\} Southwestern Hospital.</p>
10aHidden Markov Model1 aThiyagaraja, Shanti1 aDantu, Ram1 aShrestha, Pradhumna1 aChitnis, Anurag1 aThompson, Mark1 aAnumandla, Pruthvi1 aSarma, Tom1 aDantu, Siva  uhttps://www.sciencedirect.com/science/article/pii/S1746809418301101