Patent ID: 8527037

Claim:
An active medical device comprising: a microprocessor for acquiring at least one endocardial electrogram (EGM) signal, formed from a plurality of signal samples from at least one endocardial or epicardial derivation; a neural network having a plurality of neurons and a transfer function configured to reconstruct at least one surface electrocardiogram (ECG) signal through the processing of said collected EGM signal samples, wherein the neural network is a time-delay type network, trained with a first training signal comprising at least two continuous heartbeats, that simultaneously processes (A) at least one EGM signal having a first sequence of said plurality of collected signal samples and (B) at least one delayed version of said EGM signal, said delayed version having a second sequence of said plurality of collected signal samples, said second sequence being distinct from said first sequence, wherein the time-delay type network is selected from the group consisting of a focused time-delayed neural network, a distributed time-delay neural network, and a recurrent time-delayed neural network, and wherein the neural network is able to adapt the transfer function between the at least one endocardial electrogram signal and the at least one surface electrocardiogram signal.