Abstract: A novel method of efficient communication between a medical professional and a patient is made possible by wireless communications. The present heart state of the patient can be efficiently sent to the physician's phone using these techniques. Although there are a number of key technologies that make wireless healthcare facilities appealing, efficient compression is absolutely necessary. It is vital to develop higher compression without incurring the cost of losing data. The scientific community's activities in healthcare telemedicine are motivated by the requirement for biomedical signal compression. This paper presents Tunable Foetal Electrocardiography (ECG) signal compression using the Dingo Optimization Algorithm and Wavelet Transform that shows better average Compression Ratio (CR) at much lower User specified Percentage root mean square difference (UPRD). The overall result show that for total 26 records, average CR increases by 1.03 % and 2.39 %, when UPRD increases from 0.5 to 1 and from 0.5 to 2 respectively.

Foetal ECG Signal, Noninvasive Detection, Compression, Dingo Optimization Algorithm, Wavelet Transform cdf9/7