Method for monitoring heart, circulation and respiration of child, involves calculating correlated ECG waveforms, heart rate curves and respiratory rhythm courses from evaluated Doppler information by module of hybrid system

摘要

The method involves utilizing a static analysis process for obtaining characteristics, and providing the obtained characteristics to an intelligent hybrid system for identification of Doppler information. The hybrid system consists of hidden Markov models, neuronal networks and knowledge-based machines. Correlated ECG waveforms, heart rate curves and respiratory rhythm courses are calculated from the evaluated information by a module of the system. A Doppler sound analysis is performed with associated statistics by the system after Doppler sound classification. An independent claim is also included for a device for monitoring heart, circulation and respiration of a patient.