A Dynamic Transmission Method of Critical Physiological Data Based on DDHE Lossless Compression Algorithm

Critical physiological index data is crucial for evaluating patient health status and disease diagnosis. Such data must be extremely accurate and should not contain errors, making it unsuitable for lossy compression. Currently, most lossless compression methods are designed for large amounts of complex data, and when used for compressing small amounts of data, they usually exist low compression rates and may even result in negative compression. In response to this issue, this paper proposes a lossless compression algorithm for critical physiological data based on DDHE, aiming to improve the compression rate for small amounts of data. In addition, critical physiological index data usually has real-time requirements in clinical and other applications. Therefore, in response to this issue, this paper proposes a dynamic data transmission frequency adjustment strategy based on the differential method, by dynamically adjusting the frequency of sending lossless compressed data, to enhance the real-time performance of the data.