Paper Title
Ecg-Based Gait Signal Delineation as Step Counter Estimator Using Eemd: Preliminary Results

Abstract
A novel approach for extracting the gait signal from an electrocardiogram (ECG) and detecting the peak of gait signal as representation of step counter based on Ensemble Empirical Mode Decomposition (EEMD) has been designed, tested, and evaluated. We were designed the data acquisition device based on MSP430, integrated with accelerometer and ECG circuits for raw data acquisition and Bluetooth Low Energy (BLE) for raw data transmission to PC. Two healthy subjects were participated in the treadmill test. The participants were asked to walk in four different speeds from 1.8 km/h to 4.5 km/h and run in five different speeds from 5.4 km/h to 9.0 km/h which the increasing of speed by 0.9 km/h. The accuracy has been evaluated based on the data from all participants that achieved accuracy of 96.67 % for walking. The results show that this approach is feasible to be used as step counter based on ECG and EEMD algorithm. Keywords- Gait, ECG, Step counter, EEMD.