Compression and Decompression of Biomedical Signals Using Chinese Remainder Theorem

Abstract

The biomedical data signals captured from the patient is sent for compression where the size of the digital data is 24 bits. Compression is executed for two consecutive data elements. One is current data where data is shared for compression and previous data stores old values. In the starting, previous data storage contains no data. Compression is accomplished using log2 sub-band methodology that involves the identification of changes by making use of XOR logic. The XOR-generated data are further calculated using OR gates that are required to generate flags. Using the Chinese remainder theorem that involves the division method the 24-bit data is compressed into 12 bits. According to the theorem, the dividend should be divided with divisor where the degree of divisor must be less than that of dividend. In our work, the compressed data generated before the division process can be up to 26 bits which is divided only with a prime number as per the theorem rule. The division process produces 12-bit data which is given to the decoder along with the quotient and remainder obtained after division for decompression. It should satisfy the division rule where the decompressed result should be the same as the data to be compressed then the overall compression & decompression is correct and is satisfied in our project.