Linear and nonlinear parameters for the analysisof fetal heart rate signal from cardiotocographic recordings

By M. Signorini, G. Magenes, S. Cerutti, D. Arduini. IEEE Transactions on Biomedical Engineering, 2003

296 citations recorded by the source corpus.

Subfields: Cardiology and Cardiovascular Medicine, Pediatrics, Perinatology and Child Health, Pulmonary and Respiratory Medicine

View Paper: https://www.semanticscholar.org/paper/6f9178fbbf9bf1774763dad2605e532d5402fcf3

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cardiology and Cardiovascular Medicine

1. Vinay Vakharia
2. V. K. Gupta
3. Pavan Kumar Kankar

Citations in the corpus

• A multiscale permutation entropy based approach to select wavelet for fault diagnosis of ball bearings (2015, methodology): “A good alternative in the form of nonlinear parameter estimation techniques have been used by researchers (Pincus, 1995; Signorini et al., 2003; Li et al., 2008) to extract hidden features present in signal.”
• A Machine Learning Approach to the Detection of Fetal Hypoxia during Labor and Delivery (2010, background): “For example, one can attempt to detect the start and end of a contraction, the start and end of the following deceleration, the depth of the deceleration, etc. (Signorini et al. 2003).”