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The industry of wearable remote health monitoring system keeps growing. Inthe diagnosis of cardiovascular disease, Electrocardiography~(ECG) waveform isone of the major tools which is thus widely taken as the monitoring objective.For the purpose of reducing bit expenditure in the monitoring systems, we studythe compression of ECG signal and propose a new compressor in low complexity.Different from the traditional ECG compressors, most of which are built on asingle sensor, our compression scheme is based on multiple ECG sensors. Themulti-sensor based compression scheme is able to provide more accurate sensingresults. Besides the investigation into the structure of the compressor, wealso jointly optimize the period and the bit number per sample in thetransmission of ECG signal. Experiments are performed on records in MIT-BIHArrhythmis database and European ST-T database. Experimental results show thatour method outperforms conventional ones with respect to ECG reconstructionaccuracy at the same bit rate consumption

Study on a Low Complexity ECG Compression Scheme with Multiple Sensors