Detection of femoral artery occlusion from spectral density of Doppler signals using the artificial neural network.
Sadik KaraSemra KemalogluAysegül GüvenPublished in: Expert Syst. Appl. (2005)
Keyphrases
- artificial neural networks
- signal processing
- spectral density
- detection rate
- low signal to noise ratio
- detection accuracy
- neural network
- false positives
- false alarms
- automatic detection
- partial occlusion
- signal detection
- detection algorithm
- object detection
- cluttered background
- partially occluded
- back propagation
- detection method
- boundary detection
- anomaly detection
- received signal
- weak signal
- computer vision
- independent component analysis
- background clutter
- noisy environments
- blood flow