Self-adaptive system for the analysis of biomedical signals of a patient

System for monitoring normal/abnormal physiological events in one or more patients by the analysis of biomedical signals of each patient, comprising:

• a) One or more sensors, attached or allocated to said patient, being capable of generating and transmitting biomedical signals;
• b) a data storage for aggregating transmitted raw data streams, each of which representing a different type of biomedical signals of said patient;
• and
• i) processing means, being in data communication with said sensors and/or said data storage, for performing adaptive segmentation of said raw data streams of said patient and assigning, to each segment, individual attributes being represented by attribute values determining an attribute domain, in which each segment being represented by a point, for generating a set of clusters in said attribute domain for each type of biomedical signal or for any combination thereof, such that each cluster includes a combination of points determined by their relative location to other points, by assigning a set of property values to each point, and such that each property value corresponds to the degree of association of said point with one of the clusters, for obtaining the probability of the order of appearance of each point, in time, according to its property value and updating the property value of each point in each cluster using said probability, for updating each cluster by iteratively varying the combination of points included in each cluster according to their most updated property value and by including points derived from adaptive segmentation of further aggregated raw data streams of said patient, for associating at least one updated cluster with a normal/abnormal physiological state of said patient by using former knowledge, regarding normal/abnormal physiological states of said patient and/or of a reference group of patients, that is represented as reference clusters in said domain and for individually characterizing said patient by identifying normal/abnormal physiological states, associated with one or more updated clusters, and obtaining the probability of a change between normal/abnormal physiological states using said probability of the order of appearance.