Data encoding for IoHT ECG Application

In Internet of Healthcare Things (IoHT) biomedical wearables, an ample level of accuracy is needed for processing an electrocardiogram (ECG) hardware unit. Data compression significantly lowers the number of bits to reduce the hardware storage capacity. This paper presents a lossless compression technique for IoHT devices. Lossless compression is required for ECG compression for its reliability to produce diagnostic data without any loss. The proposed architecture was designed using an adaptive scheme that uses higher order derivatives and entropy encoding. MIT-BIH database is used to evaluate the proposed compression algorithm which results in 1.8 compression ratio. The architecture requires minimum hardware resources that makes it power efficient.