Neural network based feature extraction scheme for heart rate variability

摘要: Neural networks are extensively used in solving a wide range of pattern recognition problems signal processing. The accuracy depends to large extent on the quality features extracted from signal. We present neural network capable extracting autoregressive parameters cardiac known as hear rate variability (HRV). Frequency specific oscillations HRV represent heart regulatory activity and hence cardiovascular function. Continual monitoring tracking data over period time will provide valuable diagnostic information. give an example applied short demonstrate performance with single sinusoid embedded white noise. © (1995) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading abstract is permitted personal use only.