Cardiac Data Compression for Reduced Traffic on Application of IoMT

Abstract

The Internet of things (IoT) has a great role to provide the recent technology including the applications in the area of Health care, Engineering, smart societies and many different human activities. It needs the compliant for the Artificial Intelligence of Medical things (AIoMT). Among all the processes including the signal processing, communication and Machine Learning, data compression playing an important role to satisfy all these applications. We have considered the Arrhythmia ECG data for compression using different transforms. The data is collected from the physio-net data base. Its performance using wavelet transform found suitable in terms of noise suppression, multiband filtering and compression encoding. Further to satisfy IoT based communication wavelet Packet Transform (WPT) is utilised to develop the model for multicarrier communication. From the result it is observed that it can be useful for Medical professionals as well as the patients from the remote places.