Name
Title | ||
|---|---|---|
Detection of peripheral arterial disease using Doppler spectrogram based expert system for Point-of-Care applications. |
Abstract | ||
|---|---|---|
•A low-cost peripheral arterial disease detection system based on the Doppler blood flow spectrogram of lower limb arteries is proposed.•Hemodynamic features of the spectrogram are employed in a machine learning framework for detecting inconsistent blood flow, locating the zone of arterial stenosis and grading the stenosis.•The system is implemented on a smartphone for point-of-care applications. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.bspc.2019.101599 | Biomedical Signal Processing and Control |
Keywords | Field | DocType |
Ultrasonography,Peripheral artery disease,Features extraction,Machine learning,Android | Computer vision,Occlusion,Blood flow,Pattern recognition,Spectrogram,Support vector machine,Computer-aided diagnosis,Stenosis,Artificial intelligence,Doppler effect,Random forest,Mathematics | Journal |
Volume | ISSN | Citations |
54 | 1746-8094 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Biswabandhu Jana | 1 | 0 | 1.35 |
| Kamal Oswal | 2 | 0 | 0.34 |
| Sankar Mitra | 3 | 0 | 0.34 |
| Goutam Saha | 4 | 255 | 23.17 |
| Swapna Banerjee | 5 | 196 | 30.07 |