System for monitoring patients with cognitive disorders comprising: - at least one bed comprising a plurality of weight sensors configured to detect the presence of a patient in the bed; - a plurality of sensors configured to detect the descending of the patient from the bed; - a plurality of acoustic sensors able to detect environmental noises near the bed of the patient; - a plurality of flame sensors able to detect smoke and flames near the bed of the patient; - a plurality of shock sensors able to detect sudden movements of the bed; - at least a wearable sensor placed on the garment of the patient; characterized in comprising: - at least a processing unit, installed at the foot of the bed and housing said sensors configured to detect the descending of the patient from the bed, said acoustic sensors, said flame sensors and said shock sensors, provided with an Internet access and with a control system configured to acquire, digitize and analyze the signals coming from said weight sensors,said sensors configured to detect the descending of the patient from the bed, said acoustic sensors, said flame sensors, said shock sensors and said wearable sensor through a machine learning algorithm configured to compare said signals with known models and data related to said signals with a database of events recorded during a self-learning phase generating visual and acoustic alarms remotely notified to healthcare professionals provided with mobile devices, minimizing the risk of generating false alarms; - a video camera mounted on the processing unit; - a computer provided with an Internet access and configured to receive the data transmitted by the at least a processing unit through a wired or a wireless local network. - at least one bed comprising a plurality of weight sensors configured to detect the presence of a patient in the bed; - a plurality of sensors configured to detect the descending of the patient from the bed; - a plurality of acoustic sensors able to detect environmental noises near the bed of the patient; - a plurality of flame sensors able to detect smoke and flames near the bed of the patient; - a plurality of shock sensors able to detect sudden movements of the bed; - at least a wearable sensor placed on the garment of the patient; - at least a processing unit, installed at the foot of the bed and housing said sensors configured to detect the descending of the patient from the bed, said acoustic sensors, said flame sensors and said shock sensors, provided with an Internet access and with a control system configured to acquire, digitize and analyze the signals coming from said weight sensors,said sensors configured to detect the descending of the patient from the bed, said acoustic sensors, said flame sensors, said shock sensors and said wearable sensor through a machine learning algorithm configured to compare said signals with known models and data related to said signals with a database of events recorded during a self-learning phase generating visual and acoustic alarms remotely notified to healthcare professionals provided with mobile devices, minimizing the risk of generating false alarms; - a video camera mounted on the processing unit; - a computer provided with an Internet access and configured to receive the data transmitted by the at least a processing unit through a wired or a wireless local network.