### Abstract

Original language | Undefined |
---|---|

Title of host publication | Proc. of the IBME |

Place of Publication | Arnhem |

Publisher | IEEE |

Pages | 83-87 |

Number of pages | 5 |

ISBN (Print) | 90-365-0845-2 |

DOIs | |

Publication status | Published - 30 Sep 1996 |

Event | 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 1996: Bridging Disciplines for Biomedicine - Amsterdam, Netherlands Duration: 31 Oct 1996 → 3 Nov 1996 Conference number: 18 |

### Publication series

Name | |
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Publisher | IEEE |

Volume | 2 |

### Conference

Conference | 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 1996 |
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Abbreviated title | EMBC |

Country | Netherlands |

City | Amsterdam |

Period | 31/10/96 → 3/11/96 |

### Keywords

- IR-56014
- METIS-130341

### Cite this

*Proc. of the IBME*(pp. 83-87). Arnhem: IEEE. https://doi.org/10.1109/IEMBS.1996.651992

}

*Proc. of the IBME.*IEEE, Arnhem, pp. 83-87, 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 1996, Amsterdam, Netherlands, 31/10/96. https://doi.org/10.1109/IEMBS.1996.651992

**Information criteria determine the number of active sources.** / Knosche, T.R.; Knosche, T.R.; Berends, E.M.; Peters, M.J.; Jagers, Bert.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Information criteria determine the number of active sources

AU - Knosche, T.R.

AU - Knosche, T.R.

AU - Berends, E.M.

AU - Peters, M.J.

AU - Jagers, Bert

PY - 1996/9/30

Y1 - 1996/9/30

N2 - With the neuroelectromagnetic inverse problem, the optimal choice of the number of sources is a difficult problem, especially in the presence of correlated noise. In this paper we present a number of information criteria that help to solve this problem. They are based on the probability density function of the measurements or their eigenvalues. Make use of the Akaike or MDL (minimum description length) correction term and all employ some sort of noise information. By extensive simulations we investigated the conditions under which these criteria yield reliable estimations. We were able to quantify two major factors of influence: (1) the precision of the noise information and (2) the signal-to-noise ratio (SNR). Here defined as the ratio of the smallest signal eigenvalues and the average of the noise eigenvalues. Furthermore, we found that the Akaike correction term tends to overestimate, due to its greater sensibility to the precision of the noise information

AB - With the neuroelectromagnetic inverse problem, the optimal choice of the number of sources is a difficult problem, especially in the presence of correlated noise. In this paper we present a number of information criteria that help to solve this problem. They are based on the probability density function of the measurements or their eigenvalues. Make use of the Akaike or MDL (minimum description length) correction term and all employ some sort of noise information. By extensive simulations we investigated the conditions under which these criteria yield reliable estimations. We were able to quantify two major factors of influence: (1) the precision of the noise information and (2) the signal-to-noise ratio (SNR). Here defined as the ratio of the smallest signal eigenvalues and the average of the noise eigenvalues. Furthermore, we found that the Akaike correction term tends to overestimate, due to its greater sensibility to the precision of the noise information

KW - IR-56014

KW - METIS-130341

U2 - 10.1109/IEMBS.1996.651992

DO - 10.1109/IEMBS.1996.651992

M3 - Conference contribution

SN - 90-365-0845-2

SP - 83

EP - 87

BT - Proc. of the IBME

PB - IEEE

CY - Arnhem

ER -