Name
Abstract | ||
|---|---|---|
Onset and offset detection of electromyography (EMG) data is an important step in respiratory muscle coordination assessment. Impaired respiratory coordination can indicate breathing disorders and lung diseases. In this paper, we present an algorithm for onset and offset timing detection of real-world EMG signals from respiratory muscles, which are contaminated with electrocardiogram (ECG) artifac... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/EMBC46164.2021.9631101 | 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) |
Keywords | DocType | Volume |
Machine learning algorithms,Pulmonary diseases,Manuals,Muscles,Electrocardiography,Prediction algorithms,Electromyography | Conference | 2021 |
ISSN | ISBN | Citations |
2694-0604 | 978-1-7281-1179-7 | 0 |
PageRank | References | Authors |
0.34 | 0 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sofija Spasojevic | 1 | 0 | 0.34 |
| Antenor Rodrigues | 2 | 0 | 0.34 |
| Kimia Mahdaviani | 3 | 0 | 0.34 |
| W. Darlene Reid | 4 | 0 | 0.34 |
| Alex Mihailidis | 5 | 0 | 1.01 |
| Shehroz S. Khan | 6 | 0 | 0.34 |