  The industry of wearable remote health monitoring system keeps growing. In
the diagnosis of cardiovascular disease, Electrocardiography~(ECG) waveform is
one 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 study
the compression of ECG signal and propose a new compressor in low complexity.
Different from the traditional ECG compressors, most of which are built on a
single sensor, our compression scheme is based on multiple ECG sensors. The
multi-sensor based compression scheme is able to provide more accurate sensing
results. Besides the investigation into the structure of the compressor, we
also jointly optimize the period and the bit number per sample in the
transmission of ECG signal. Experiments are performed on records in MIT-BIH
Arrhythmis database and European ST-T database. Experimental results show that
our method outperforms conventional ones with respect to ECG reconstruction
accuracy at the same bit rate consumption
