Frank, B., Pompe, B., Schneider, U., & Hoyer, D. (2006). Permutation entropy improves fetal behavioural state classification based on heart rate analysis from biomagnetic recordings in near term fetuses. Medical & Biological Engineering & Computing, 44(3), 179. https://doi.org/10.1007/s11517-005-0015-z
Chicago Style (17th ed.) CitationFrank, B., B. Pompe, U. Schneider, and D. Hoyer. "Permutation Entropy Improves Fetal Behavioural State Classification Based on Heart Rate Analysis from Biomagnetic Recordings in Near Term Fetuses." Medical & Biological Engineering & Computing 44, no. 3 (2006): 179. https://doi.org/10.1007/s11517-005-0015-z.
MLA (9th ed.) CitationFrank, B., et al. "Permutation Entropy Improves Fetal Behavioural State Classification Based on Heart Rate Analysis from Biomagnetic Recordings in Near Term Fetuses." Medical & Biological Engineering & Computing, vol. 44, no. 3, 2006, p. 179, https://doi.org/10.1007/s11517-005-0015-z.