Name
Abstract | ||
|---|---|---|
Objective: We consider challenges in accurate segmentation of heart sound signals recorded under noisy clinical environments for subsequent classification of pathological events. Existing state-of-the-art solutions to heart sound segmentation use probabilistic models such as hidden Markov models (HMMs), which, however, are limited by its observation independence assumption and rely on pre-extracti... |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/JBHI.2019.2925036 | IEEE Journal of Biomedical and Health Informatics |
Keywords | DocType | Volume |
Hidden Markov models,Heart,Superluminescent diodes,Noise measurement,Pathology,Switches,Informatics | Journal | 24 |
Issue | ISSN | Citations |
3 | 2168-2194 | 1 |
PageRank | References | Authors |
0.35 | 0 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fuad Noman | 1 | 4 | 1.73 |
| S. Hussain | 2 | 47 | 9.46 |
| Chee-Ming Ting | 3 | 72 | 13.17 |
| S. Balqis Samdin | 4 | 20 | 4.57 |
| Hernando Ombao | 5 | 98 | 18.00 |
| Hadrina Sh-Hussain | 6 | 4 | 2.07 |