Disclosed is a method for processing sensor signals representing one or more wetness events in an absorbent article. The method includes receiving sensor signals representing one or more wetness events in an absorbent article and processing the sensor signals to determine a wetness event characteristic of at least one of the wetness events in the absorbent article. The method includes identifying automatically a sensor signal that is representative of each individual wetness event and, from the sensor signals representative of each individual wetness event: (i) generating a representative vector for that wetness event including one or more elements which include values derived from the sensor signals for that event (ii) normalizing the elements of the representative vector (iii) allocating weightings to the normalized elements of the representative vector to generate a weighted representative vector for that wetness event and (iv) comparing the weighted representative vector with clusters of weighted representative vectors to determine which one or more of the clusters the weighted representative vector is most similar to and allocating a wetness event characteristic of the one or more clusters to the weighted representative vector for that wetness event. The wetness event characteristic indicates volume of exudate in that wetness event.
