### Abstract

Sample entropy (SampEn) is a popular complexity measure in HRV analysis. SampEn is estimated by fixing the values of the embedding dimension 'm' and distance threshold 'r' and traditionally SampEn is calculated with m=2 and r=0.2 times the standard deviation of the series. Attempts to extend the estimates to different (m, r) pairs are hampered by the high computational burden of the traditional algorithm. We recently proposed an extremely fast Norm Component Matrix (NCM) algorithm for SampEn calculation which allows analyzing whole ranges of (m, r) values leading to entropy surfaces. This paper is the first attempt to calculate these surfaces by NCM and to describe their properties for both synthetic and physiological time series. We show that the entropy surface has a characteristic ridge-ledge structure associated with the randomness in the data.

Original language | English |
---|---|

Title of host publication | Computing in Cardiology |

Pages | 281-284 |

Number of pages | 4 |

Volume | 39 |

Publication status | Published - 2012 |

Event | 39th Computing in Cardiology Conference, CinC 2012 - Krakow, Poland Duration: Sep 9 2012 → Sep 12 2012 |

### Other

Other | 39th Computing in Cardiology Conference, CinC 2012 |
---|---|

Country | Poland |

City | Krakow |

Period | 9/9/12 → 9/12/12 |

### Fingerprint

### ASJC Scopus subject areas

- Cardiology and Cardiovascular Medicine
- Computer Science(all)

### Cite this

*Computing in Cardiology*(Vol. 39, pp. 281-284). [6420385]