This study proposes a method to reduce the carrying amount of Electrocardiogram (ECG) network transmission while preserving the original characteristics of ECG and protecting personal privacy. In watermarking part, we perform the quantization-based digital watermark encryption technology on the ECG signals to protect patient rights and information. In addition, the hidden information can be extracted without the original ECG. In compression part, we adopt the threshold-based compression technology to reduce the data amount of the ECG signal and preserve the original characteristics of ECG sign...
