An alternative tool for ECG analysis in WSN ?

Researchers in computer, networking, and medical fields are working together in order to make the broad vision of smart healthcare possible. The patients with chronic diseases who need only therapeutic supervision can be monitored and at a distance through wearable devices based on Wireless Sensor Network (WSN); a significant research effort on cardiac monitoring, especially the mobile ECG systems, are gaining importance. Because of noise corruption denoising processes are required before a high quality ECG signal can be used for diagnosis. The paper will present a comparison between Wavelet analysis approach and Hilbert-Huang Transform (HHT) data analysis tool. Mobility and Flexibility, Low-Power consumption are present essential requirement.