Patent ID: 8512240

Claim:
A method for monitoring a pain of a patient by analyzing at least two physiological signals, the method including comprising: a. obtaining said at least two physiological signals, comprising Photoplethysmograph (PPG) and Galvanic Skin Response (GSR); b. processing said at least two physiological signals to improve signal quality, thereby forming a plurality of processed physiological signals; and c. extracting from said at least two physiological signals at least three features thereby forming a first vector, wherein said at least three features are selected from a group consisting at least of: PPG mean Peak (P) amplitude, PPG peak to peak time intervals, PPG Peak-to-Peak High Frequency (PPG P-P HF) Power, GSR amplitude, and GSR peak to peak time intervals; d. transforming said first vector into a second vector, said transformation comprises normalization; and e. monitoring said pain of said patient by applying a classification algorithm adapted to classify said second vector into a graduated scale representing the level of pain, wherein said classification algorithm comprises an ensemble of classification and regression trees.