I want to be wrong but I believe this is the first time we have an implementation of finite rate of innovation technique made available.
Finite rate of innovation based modeling and compression of ECG signals by Baechler, Gilles; Freris, Nikolaos; Quick, Frank; Crochiere, Ronald
Mobile health is gaining increasing importance to society and the quest for new power efficient devices sampling biosignals is becoming critical. We discuss a new scheme called Variable Pulse Width Finite Rate of Innovation (VPW-FRI) to model and compress ECG signals. This technique generalizes classical FRI estimation to enable the use of a sum of asymmetric Cauchy-based pulses for modeling electrocardiogram (ECG) signals. We experimentally show that VPW-FRI indeed models ECG signals with high precision. In addition, we study the compression efficiency of the method: compared with various widely used compression schemes, we showcase improvements in terms of both accuracy and compression rate while sampling at a lower rate.
Access to the code can had here.
Liked this entry ? subscribe to Nuit Blanche's feed, there's more where that came from. You can also subscribe to Nuit Blanche by Email, explore the Big Picture in Compressive Sensing or the Matrix Factorization Jungle and join the conversations on compressive sensing, advanced matrix factorization and calibration issues on Linkedin.