Modern technology allows for the development of improved telehealth monitor and care systems for patients who are in rural areas. Due to very effective biological signal data compression and reconstruction technologies, it is now conceivable. Several researchers have created and used a variety of EMG compression and reconstruction techniques over the last 20 years. The process of data compression involves lowering the number of bits required to present the data. It is done to reduce bandwidth of the network, free up storage space, and fast transfer of data while preserving passable signal quality. Performance indicators including the percentage root mean square difference (PRD) and Compression Factor (CF) were examined and compared for these approaches. High CF increases savings but lowers the signal quality that is compressed. Increased PRD increases the quality at the cost of CF. Hence, CF and PRD need to be in balanced. The review and analysis of 21 PRD and CF-based published papers is the main emphasis of this study. CF and signal reconstruction quality, which is assessed through PRD, are of utmost importance for an effective compression. The correlation among these two is taken into consideration because they are both dependent characteristics. Because it is a systematic and statistical procedure that combines the findings of earlier studies, offers a common answer, and identifies similarities and comparative behavior among many studies, meta-analysis is utilized for analysis. The aggregate correlation value of all 21 (To maintain data homogeneity, three studies were excluded) research works, is 0.77, and this number is used to categorize the works. Due of the analysis's 13.86% heterogeneity (I2) result, all research papers fall under the same category. In [16], researchers utilized a sample size of 80 and employed a two-dimensional approach for compression, specifically using a recurrent pattern matching algorithm called the multi-dimensional multiscale parser (MMP). According to the statistical analysis in the study, de Melo WC (2016) achieved an average PRD of 6.40, indicating a close resemblance between the original and reconstructed EMG signals. Additionally, the study reported a higher CF of 82.50, indicating a significant reduction in data size. This work offers methods for validating upcoming EMG compression and reconstruction techniques based on the link between CR and PRD.

EMG Compression; Meta-Analysis; Compression Factor (CF); Percentage Root Mean Square Difference (PRD)