Name
Abstract | ||
|---|---|---|
Aims: Bubble Entropy (bEn) is a metric which links the complexity of the series to the cost of sorting its samples, with limited dependence on parameters. Fractional Brownian motion (fBm) is a long-memory process, which has largely been used in modeling heart rate variability (HRV). fBm displays ephemeral regularities and periodicity at multiple time scales, which then vanish to reform differently... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.23919/CinC53138.2021.9662772 | 2021 Computing in Cardiology (CinC) |
Keywords | DocType | Volume |
Brownian motion,Costs,Gaussian noise,Market research,Entropy,Distance measurement,Complexity theory | Conference | 48 |
ISBN | Citations | PageRank |
978-1-6654-7916-5 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| George Manis | 1 | 0 | 0.34 |
| Matteo Bodini | 2 | 0 | 0.34 |
| Massimo W Rivolta | 3 | 0 | 0.68 |
| Roberto Sassi | 4 | 0 | 1.01 |