| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 6950748 | Biomedical Signal Processing and Control | 2018 | 12 Pages |
Abstract
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.
Related Topics
Physical Sciences and Engineering
Computer Science
Signal Processing
Authors
Shanti R. Thiyagaraja, Ram Dantu, Pradhumna L. Shrestha, Anurag Chitnis, Mark A. Thompson, Pruthvi T. Anumandla, Tom Sarma, Siva Dantu,