Name
Abstract | ||
|---|---|---|
•A novel method to detect the QRS complexes from ECG signals is presented.•Tunable-Q wavelet transform and correntropy are employed.•System is validated using the MIT-BIH arrhythmia dataset.•Obtained accuracy is 99.88%. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.compeleceng.2019.01.025 | Computers & Electrical Engineering |
Keywords | Field | DocType |
TQWT,ECG,QRS complex,Correntropy | Pattern recognition,Remote patient monitoring,Computer science,Real-time computing,QRS complex,Artificial intelligence,Wavelet,Wavelet transform | Journal |
Volume | ISSN | Citations |
75 | 0045-7906 | 3 |
PageRank | References | Authors |
0.38 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ashish Sharma | 1 | 6 | 4.16 |
| Shivnarayan Patidar | 2 | 132 | 8.04 |
| Abhay Upadhyay | 3 | 3 | 0.38 |
| Rajendra Acharya U | 4 | 4666 | 296.34 |