Nearest-neighbor based wavelet entropy rate measures for intrapartum fetal heart rate variability (EMBC 2014)

The paper aims to illustrate that a k-nearest neighbor procedure yields estimates for entropy rates that are robust and well-suited to FHR variability (compared to the more commonly used correlation-integral algorithm). Second, it investigates how entropy rates measured on multiresolution wavelet and approximation coefficients permit to improve classification performance.

J. Spilka, S.G. Roux, N.B. Garnier, P. Abry, P. Goncalves, and M. Doret Nearest-neighbor based wavelet entropy rate measures for intrapartum fetal heart rate variability In Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE, 2813–2816, IEEE, 2014.

EMBC 2014, IEEE

Dependencies

Data:

The fetal heart rate database created at ENS Lyon, 2014

Toolbox:

• Carlos Granero-Belinchon, Stéphane G. Roux, Patrice Abry, Muriel Doret, Nicolas B. Garnier: Information Theory to Probe Intrapartum Fetal Heart Rate Dynamics. Entropy 19(12): 640 (2017)
• C code for sample entropy

Matlab files:

• entropy_RR_140310.mat
• entropy_RR_vary_r_knn_140310.mat
• entropy_RR_wavecoeff_140218.mat
• entropy_synthetic_140309.mat
• entropy_synthetic_vary_r_knn_140310.mat
• entropy_synthetic_wavecoeff_140310.mat

Citation

If you use this code for your research, please cite our paper:

@InProceedings{spilka2014nearest,
  Title        = {Nearest-neighbor based wavelet entropy rate measures for intrapartum fetal heart rate variability},
  Author       = {Spilka, J and Roux, SG and Garnier, NB and Abry, P and Goncalves, P and Doret, M},
  Booktitle    = {Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE},
  Year         = {2014},
  Organization = {IEEE},
  Pages        = {2813--2816}}