Comparison of compression methods for impedance and field potential signals of cardiomyocytes

We present in this paper an extensive comparison of compression methods adapted to impedance and field potential signals of cardiomyocytes. Different combinations of the traditional scheme of lossy compression have been tested and other original methods such as compressed sensing were implemented as well. All algorithms are assessed on several criteria such as compression ratio, distortion of the data, etc. We show that the selected method presents the ability and reliability to compress sensitive data with a compression ratio greater than 5:1 while preserving the relevant information content of the recorded data.