Name
Abstract | ||
|---|---|---|
•Current state-of-the-art algorithms have insufficient performance in breath detection.•Pre-set thresholds limit versatility of the algorithm, smoothening distorts raw data.•Algorithm based on general physiological principles works in different patient groups.•More complex use of the information in raw data leads to robust and precise algorithm.•The proposed breath detection algorithm has accuracy comparable to the human experts. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.compbiomed.2018.07.017 | Computers in Biology and Medicine |
Keywords | Field | DocType |
Automated breath detection,Breath end,Lung function testing,Tidal breathing,Multiple breath washout test,Medical algorithm design | Computer vision,Data quality,Lung,Pulmonary function testing,Pattern recognition,Pulmonary disorders,Computer science,Breathing disorders,MULTIPLE BREATH WASHOUT,Smoothing,Artificial intelligence,Gas concentration | Journal |
Volume | ISSN | Citations |
101 | 0010-4825 | 1 |
PageRank | References | Authors |
0.47 | 4 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jaroslav Horácek | 1 | 5 | 1.26 |
| Václav Koucky | 2 | 1 | 0.47 |
| Milan Hladík | 3 | 268 | 36.33 |