Showing papers by "Arnon D. Cohen published in 1998"
TL;DR: The single-channel LTP algorithm has been generalized to the multichannel case and is called the MC-LTP algorithm, which compresses PQRST beats using a pattern codebook with "typical" beats.
Abstract: The need for efficient coding of ECG signals is continually increasing with modern use of long-term monitoring and telemedicine. Here, the authors present an algorithm based on long-term prediction (LTP) compression. The single-channel LTP algorithm has been generalized to the multichannel case and is called the MC-LTP algorithm. This algorithm compresses PQRST beats using a pattern codebook with "typical" beats.
42 citations
29 Oct 1998
TL;DR: The paper provides an in depth tutorial on HMM and its applications to biomedical signal processing, and reviews some of the applications, and discusses potential applications.
Abstract: Hidden Markov Models (HMM) are statistical models used very successfully and effectively in speech processing. The model is however a general model for stochastic processes and may thus be applied to a large variety of biomedical signals. The paper provides an in depth tutorial on HMM and its applications to biomedical signal processing. Discrete Density (DD-HMM) and Continuous Density HMM (CD-HMM) are presented. The various algorithms required for training the model, for estimating the optimal state sequence and the observation probabilities are discussed. The HMMs have not been widely applied to biomedical signal processing. The paper reviews some of the applications, and discusses potential applications.
35 citations