  12-lead ECG signals fusion is crucial for further ECG signal processing. In
this paper, a novel fusion data algorithm is proposed. In the method, 12-lead
ECG signals are appropriately converted to a single-lead physiological signal
via the idea of the local weighted linear prediction algorithm. For effectively
inheriting the quality characteristics of the 12-lead ECG signals, the fuzzy
inference system is rationally designed to estimate the weighted coefficient in
our algorithm. Experimental results indicate that the algorithm can obtain
desirable results on synthetic ECG signals, noisy ECG signals and realistic ECG
signals.
