Name
Title | ||
|---|---|---|
Estimation of cardiac stroke volume from radial pulse waveform by artificial neural network |
Abstract | ||
|---|---|---|
•A novel method to estimate cardiac stroke volume from radial pulse wave is proposed.•A multi-parameter fusion model of ANN is established to represent the relationship between time domain features of radial pressure waveform and SV.•Time domain features as input simplify the procedure of the SV estimation and are more efficient.•The method based on ANN and time domain features reduces the error of SV estimation against the 12 traditional methods. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1016/j.cmpb.2022.106738 | Computer Methods and Programs in Biomedicine |
Keywords | DocType | Volume |
Cardiac stroke volume,Artificial neural network,Cardiac output,Radial pulse waveform | Journal | 218 |
ISSN | Citations | PageRank |
0169-2607 | 0 | 0.34 |
References | Authors | |
0 | 7 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hanguang Xiao | 1 | 0 | 0.34 |
| Daidai Liu | 2 | 0 | 0.34 |
| Albert Avolio | 3 | 32 | 16.60 |
| Kai Chen | 4 | 0 | 0.34 |
| Decai Li | 5 | 0 | 0.34 |
| Bo Hu | 6 | 0 | 0.34 |
| Mark Butlin | 7 | 0 | 0.34 |