Name
Title | ||
|---|---|---|
Design and implementation of a pulse wave generator based on Windkessel model using field programmable gate array technology. |
Abstract | ||
|---|---|---|
•The generator can generate any desired pulse waveforms corresponding to different physiological and pathological states.•The Windkessel model is implemented with Field Programmable Gate Array (FPGA) for efficiency, portability and scalability.•The critical parameters are flexible to be modulated according to the requirement of the users.•It is possible to add different types of noises with varying signal-to-noise ratios. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1016/j.bspc.2017.03.008 | Biomedical Signal Processing and Control |
Keywords | Field | DocType |
FPGA,Pulse wave,Runge-Kutta method,SoPC,Windkessel model | Computer vision,Waveform,Field-programmable gate array,Pulse wave,Pulse (signal processing),Electronic engineering,Software,Software portability,Artificial intelligence,Mathematics,Pulse Wave Analysis,Scalability | Journal |
Volume | ISSN | Citations |
36 | 1746-8094 | 0 |
PageRank | References | Authors |
0.34 | 12 | 8 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lu Wang | 1 | 4 | 2.10 |
| Lisheng Xu | 2 | 178 | 39.09 |
| Shuran Zhou | 3 | 0 | 2.03 |
| Hao Wang | 4 | 440 | 127.79 |
| Yang Yao | 5 | 7 | 2.17 |
| Liling Hao | 6 | 7 | 1.49 |
| Bing Nan Li | 7 | 240 | 18.77 |
| Lin Qi | 8 | 10 | 7.28 |