A new ECG signal processing scheme for low-power wearable ECG devices

A new ECG signal processing approach is proposed for use in ultra low-power wireless ECG recording devices. Significant energy saving is achievable with the adoption of level-crossing sampling, which adapts its sampling frequency according to signal activities. Linear Interpolation is then performed to convert the non-uniform samples into uniform ones to allow the use of existing signal processing tools. We show by an example that the proposed approach achieves 88.8% and 92.6% reductions in the number of sampling points and the order of post-processing FIR filter respectively.