Abstract
Wireless health care monitoring technologies have the energetic to replace our lifestyle with various application uses in the field of such as healthcare management, retailer, travels, company, dependents care and urgent management, in addition to many area for improving. Electrocardiography (ECG) is a common technique for recording the electrical activity of human heart. Accurate computer analysis of ECG signal is challenging, as it is exceedingly prone to high frequency noise and various other artifacts due to its low amplitude. The accuracy of these algorithms relies on the low-pass and high-pass filtration of the input ECG signal. In this paper, it is analyzed various methods for removing the high and low frequency noise components from the ECG signal and evaluate the performance of several adaptive filtering algorithms. Then, sending all experimental information via Bluetooth technology to laptop and real time monitoring.
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