Abstract: A new method is described for the detection and classification of non-periodic signals and the respective system that implements it, within the scope of flow cytometry techniques for the acquisition of biological information in order to increase the accuracy in the detection of labeling particles. This is achieved through the use of classifiers of the composed or independent type (20), which apply to an input signal (1) machine learning techniques, such as ANN (Artificial Neural Networks) (2), to execute a new detection methodology that combines the filtering and decision steps, as a way to classify non-periodic signals at the output of the classifier (3).

Abstract: An input system comprises a human machine interface device comprising a scroll device adapted to feed scroll pulses to a controller residing in the human machine interface device, for scrolling through contents on a display of a host computer. The controller is adapted and programmed to communicate with the host computer and adapted and programmed to sense, in a sequence of scroll pulses, elapsed time spans between each of a plurality of the scroll pulses resulting from a user operating a scroll device being a part of a human-machine interface device which is adapted to communicate with the host computer, and a direction of the operation of the scroll device by the user.

Abstract: An input system comprises a human machine interface device comprising a scroll device adapted to feed scroll pulses to a controller residing in the human machine interface device, for scrolling through contents on a display of a host computer. The controller is adapted and programmed to communicate with the host computer and adapted and programmed to sense, in a sequence of scroll pulses, elapsed time spans between each of a plurality of the scroll pulses resulting from a user operating a scroll device being a part of a human-machine interface device which is adapted to communicate with the host computer, and a direction of the operation of the scroll device by the user.