Name
Title | ||
|---|---|---|
Heart rate variability discovery: Algorithm for detection of heart rate from noisy, multimodal recordings |
Abstract | ||
|---|---|---|
Starting point for the heart rate variability analysis is the ECG signal, which ensures the most precise way of detecting heartbeats. However, very often devices used to record ECG also record at the same time many other physiological signals containing useful information about heart rate. In the case of the poor ECG quality or its absence information about beats is lost. This raises the need for robust algorithms which could locate heartbeats in continuous long-term data from bedside monitors, allowing reliable, automatic analysis. |
Year | Venue | Keywords |
|---|---|---|
2014 | CinC | electrocardiography,medical signal detection,medical signal processing,ecg signal,heart rate detection algorithm,heart rate variability,algorithm design and analysis,electroencephalography,reliability |
Field | DocType | Volume |
Algorithm design,Heart rate variability,Computer science,Algorithm,Speech recognition,Heart rate,Electrocardiography,Electroencephalography,Poor ECG quality | Conference | 41 |
ISSN | Citations | PageRank |
2325-8861 | 1 | 0.40 |
References | Authors | |
1 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| jan gieraltowski | 1 | 5 | 2.88 |
| kamil ciuchcinski | 2 | 1 | 0.73 |
| iga grzegorczyk | 3 | 1 | 1.75 |
| katarzyna kosna | 4 | 1 | 1.07 |
| mateusz solinski | 5 | 1 | 1.41 |
| piotr podziemski | 6 | 6 | 3.26 |