Patent ID: 8145451

Claim:
A digital filtering system, comprising: at least one sensor, each providing an analog physiological signal; a quantizing module, for digitalizing and performing a time-frequency transformation on the physiological signal, so as to transform the physiological signal to at least one frequency domain signal; a specification parameter module, for storing a plurality of feature data, matching the frequency domain signal with the feature data, so as to obtain at least one feature data by matching and build a feature model of the frequency domain signal, and judging that the frequency domain signal is an abnormal signal and outputting the abnormal signal when the frequency domain signal does not satisfy any feature data; a deciding process module, for storing a plurality of decision parameters, and outputting a matching decision parameter of the feature model, wherein the decision parameters stored by the deciding process module form a decision tree structure, the decision parameters are the leafs of the decision tree, and the conditions used to determine the traveling paths are the feature parameters, and the deciding process module guides the feature model in the decision tree, so as to calculate the matching decision parameter most appropriate for the feature model; a filter-Clustering management module, comprising a plurality of filter modules, for starting a filter module according to the matching decision parameter, the filter module being used to filter the frequency domain signal; and a server system, for obtaining the abnormal signal, analyzing the abnormal signal to build at least one updating parameter, and updating the feature data of the specification parameter module and the decision parameters of the deciding process module.