ECGSecT: secure transmission of ECG with undistorted R-peaks using reference less FIS for smart IoMT

The human life cannot be sustained without its constant function of heart. A number of variables that put stress on the cardiovascular system, such as weight gain, smoking, and inactivity, have gradually increased the incidence of coronary heart disease in young adults. Due to the increasing rate of heart diseases, electrocardiogram (ECG) data volume is rising rapidly. So, it is necessary for the researchers to protect the copyright of these crucial data and securely transmit it from one end to another. To overcome these issues, this work proposes a system of secure transmission of ECG (ECGSecT) for copyright protection with real-time identity verification of the patient for internet of medical things (IoMT). YCbCr domain processing is applied for watermarking to enhance the performance. R-peaks are extracted before the ECG transmission and used as a watermark image. The patient's Aadhar card is divided into two sections, which are used as separate watermarks. Verification of the identity of patients is done in real-time using a secured hash algorithm (SHA). To balance the properties of proposed framework effectively, reference less fuzzy inference system (FIS) is used by taking the naturalness image quality evaluator (NIQE) and perception-based image quality evaluator (PIQE) as the input. The percentage improvement in imperceptibility is 12.94%. The proposed technique shows the higher resilience and visual similarity in comparison with existing techniques. So, the presented work can effectively be used for copyright and integrity protection along with IoMT-based real-time authentication.