Name
Title | ||
|---|---|---|
Demonstration: Online Detection of Abnormalities in Blood Pressure Waveform: Bisfiriens and Alternans Pulse |
Abstract | ||
|---|---|---|
Some cardiovascular diseases (CVD) can be characterized by abnormalities in the blood pressure (BP) waveform. This work explores the use of ML techniques in a screening system currently under development for detection of BP waveform abnormalities - Bisferiens and Alternans pulses. The system uses a tonometric probe for signal acquisition, signal processing involving period segmentation and image processing, and classification. The classification method used was the support vector machine (SVM) and it achieved an accuracy of 99.84%. Signal acquisition is done locally and sent to a remote server where the signal and image processing and classification is performed and the result prediction is sent back to the user. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1007/978-3-319-95678-7_60 | Lecture Notes in Networks and Systems |
Keywords | Field | DocType |
Blood pressure waveform,Bisferiens and Alternans pulse,Histogram of oriented gradients,Support vector machine | Computer vision,Signal processing,Segmentation,Computer science,Support vector machine,Waveform,Image processing,Pulse (signal processing),Histogram of oriented gradients,Artificial intelligence,Blood pressure | Conference |
Volume | ISSN | Citations |
47.0 | 2367-3370 | 0 |
PageRank | References | Authors |
0.34 | 3 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Daniel Nogueira | 1 | 0 | 0.34 |
| Rafael Tavares | 2 | 0 | 0.68 |
| Paulo Abreu | 3 | 3 | 7.92 |
| Maria Teresa Restivo | 4 | 79 | 33.58 |