An Effective DCT and Huffman Coding Supervising System for Cpmpression of MMG Uterine Signal

Globally, the rates of premature baby morbidity and mortality are increasing year. It is essential to use telemedicine and ambulatory monitoring to give these infants the right care at the right time. The strength of the uterine physiological signals limits the practical applicability. The study suggests a lossless compression strategy that combines Huffman coding with DCT. We estimated DCT components under 2 Hz frequency. A Huffman coder was utilized at the transmitter position to encode the quantized DCT coefficients. The DCT coefficients above 2 Hz are replaced at receiver position with a zero set. The reconstructed signal was obtained by applying inverse DCT. Uterine magnetomyography (MMG) signals were taken from Physionet database and utilized in this investigation. The outcomes show that suggested technique works well for lossless MMG signal compression

Data compression · Discrete cosine transform · Huffman coding · Speech recognition · Statistics · Advanced Data Compression Techniques · Computer Science · ECG Monitoring and Analysis · Mathematics · Wireless Body Area Networks · Artificial Intelligence