Name
Abstract | ||
|---|---|---|
•A new technique for a reliable estimation of the respiration using single-lead ECG is presented.•Respiratory-induced beat-to-beat variations in the ECG signal are monitored using the Hermite basis functions.•Experiments are performed over a large dataset known as Fantasia.•The proposed algorithm showed effective performance in the younger subjects but outperformed the existing methods in the elderly subjects. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.bspc.2017.08.016 | Biomedical Signal Processing and Control |
Keywords | Field | DocType |
Respiratory rates,ECG-derived respiration,Hermite basis functions,Respiration | Correlation coefficient,Pattern recognition,Hermite polynomials,Respiratory rate,Continuous monitoring,Artificial intelligence,Basis function,QRS complex,Standard deviation,Mathematics,Principal component analysis | Journal |
Volume | ISSN | Citations |
39 | 1746-8094 | 1 |
PageRank | References | Authors |
0.35 | 11 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hemant Sharma | 1 | 11 | 1.67 |
| K. K. Sharma | 2 | 53 | 7.62 |