A METHOD FOR DISTINGUISHING SCHIZOPHRENIA-RELATED AUDITORY HALLUCINATIONS FROM AUDITORY HALLUCINATIONS CAUSED BY OTHER DISEASES

• Main Authors: CHEN, Ce, ZHUO, Chuan Jun, LIN, Xiaodong
• Format: Patent
• Language: English
• Published: 28.04.2021

The invention belongs to the field of medical signal processing, and specifically discloses a method for distinguishing between phantom symptoms of schizophrenia and phantom symptoms of other diseases. Asymmetric rate extraction features based on multi-band wavelet packet entropy are used as main objective bases, the score of the patient's phantom symptom scale is used as an auxiliary objective basis, a Hamiltonian depression scale and a Young mania scale are used as auxiliary objective bases, fusion calculation is carried out, and a multi-classifier system is constructed referring to electroencephalogram signals of healthy individuals in a normal state. The established classification algorithm can be used to accurately distinguish the specific characteristics of phantom symptoms of schizophrenia and phantom symptoms of two different types of diseases including depression phantom, bipolar disorder phantom and the like, and finally, the probability value of the specific phantom symptomsof schizophrenia of to-be-detected electroencephalogram signals can be output, and suggestions for supporting early definite diagnosis decisions of schizophrenia phantom are obtained.