| Method |
Pros and cons |
Complex
Continuous
Wavelet
Transform |
-Computationally fast and the accuracy of the method is high.
-Algorithm’s parameters increase the system’s efficacy. |
Wavelet
Transform |
-More Flexible and efficient tool for FHR detection and denoising the noise components than the traditional filtering techniques. |
Artificial
Neural
Networks |
-Very fast and computer categorization can be done.
-Sometimes it fails to estimate the exact base line value.
-Relatively SNR is high. |
Independent
Component
Analysis |
-Overall performance is medium.
-Priori information is not required.
-Relatively high SNR. |
| Kalman Filtering |
-Real time implementation is possible but complex.
-Efficiency is high. |
| SVD,PCA |
-Overall performance is low.
-Relatively SNR is low.
-Real time implementation is possible and simple. |
