||With the developments of advanced medical instruments in recent years, the remote medicine and homecare system have been recognized as a new trend in the interaction between patients and doctors. This trend changes the life style of care medicine. Patients can use advanced nursing systems to record their physiological data at home and transmit these data to hospital network for necessarily monitoring. Nevertheless, these achievements require the novel developments of medical instruments, especially the noise-proof performance of these instruments. |
In this study, we aim to develop an Independent Component Analysis (ICA)-based ECG care system. ICA is a multi-variable technique which has been validated as a powerful tool for separating different signals according to their distinct statistical distributions. With the benefit of ICA, physiological and environmental ECG-unrelated noise can be removed so that the ECG signals can be extracted in low signal-to-noise (SNR) situation, even during uses’s limb movements. In order to validate the performance of the proposed ICA-based system, we attached six ECG electrodes (three on left hand and the other three on right hand) to extract the surface ECG of a user. ECG-unrelated noise and physiological signals, such as 60 Hz electricity noise, low frequency drifts and electromyogram contaminations can be identified and removed. Currently, we have implemented the ICA-based ECG care system on Labview platform for real-time processing. Further developments are required to realize the technique using dsPIC microprocessor for portable homecare purposes..
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