Classification of non-stationary Heart Rate Variability using AR-model parameters
This thesis explores the connection between the heart rate variability and both stress and age. Two methods are used to classify the heart rate variability data, the autoregressive model and the Markov chain model. The autoregressive model is further expanded to become an autoregressive model with extraneous input using the respiratory signal as input signal. The Markov chain models are compared w