Device for automatically monitoring respiration and ventilation of patient suffering from e.g. asthma, in hospital, has personal computer connected to sensor, and classification result fed to learning system for result confirmation

摘要

The device has personal computer connected to a sensor. A statistical analysis method is used for feature extraction. Obtained features are fed to a learning hybrid system for identification of sounds e.g. intestinal movement sound. The hybrid system consists of hidden Markov models, neural networks and a knowledge-based machine. A classification result is provided with classification quality. The result is fed to a learning system for result confirmation. A spectral or Fourier analysis method, a cepstral analysis method or a wavelet analysis method is used as the statistical analysis method.