Tinnitus diagnosis and treatment system based on neurobiological feedback therapy and use method thereof

Abstract

The invention discloses a tinnitus diagnosis and treatment system based on neurobiological feedback therapy, which comprises a computer assembly, an EEG (electroencephalogram) sensor, an EEG signal receiving amplifier, an EEG signal transmitter, an EEG sensor fixing head band, a graphic display device and a K-K low-frequency audio signal generator, the computer assembly comprises a general control computer A, an electroencephalogram signal EEG processing computer B and a user treatment end control computer C. The electrical output end of the electroencephalogram signal EEG processing computer B is electrically connected with the electrical input end of the general control computer A through a wire and is not affected by hearing loss of a patient. Objective indexes (brain waves) and subjective indexes (patient feelings) are used, the subjective and objective comprehensive evaluation curative effect is effectively improved, and a patient can autonomously select a diagnosis and treatment site (hospital or home) for training, so that the system is good in compliance and high in applicability, and the multiple effects of non-trauma, low cost, high usability and the like of the whole set of therapy are embodied.

Description

technical field [0001] The invention relates to the technical field of a tinnitus diagnosis and treatment system based on neurobiological feedback therapy, in particular to a tinnitus diagnosis and treatment system based on neurobiological feedback therapy and its application method. Background technique [0002] Tinnitus refers to the subjective perception of abnormal noise in the ear or brain in the absence of external sound sources or external stimuli. Tinnitus is one of the most common clinical symptoms in otology. It affects patients in varying degrees. Its existence can be ignored, and severe cases can cause serious mental and psychological disorders. There are also various classification methods for tinnitus. Currently, the examination methods for tinnitus mainly include physical examination, nervous system examination, auditory function examination, vestibular function examination, and tinnitus test. , imaging examinations, and other specialized examinations or labor...

AI Technical Summary

Problems solved by technology

[0002] Tinnitus refers to the subjective perception of abnormal noise in the ear or brain in the absence of external sound sources or external stimuli. Tinnitus is one of the most common clinical symptoms in otology. It affects patients in varying degrees. Its existence can be ignored, and severe cases can cause serious mental and psychological disorders. There are also various classification methods for tinnitus. Currently, the examination methods for tinnitus mainly include physical examination, nervous system examination, auditory function examination, vestibular function examination, and tinnitus test. , imaging examinations, and other specialized examinations or laboratory examinations, due to the variety of causes of tinnitus, from ear diseases to systemic diseases can cause tinnitus, and there are many triggering and influencing factors, and it is also related to the patient's mental and psychological factors. They influence each other and form a vicious circle. Therefore, it is not easy to diagnose tinnitus. Some patients cannot find out the cause through detailed examination. The current diagnosis method is mainly through the patient's medical history, auxiliary examination and psychological evaluation.

[0003] However, there are still some shortcomings in the existing examination and diagnosis methods for tinnitus. The existing examinations for tinnitus can only examine patients with objective tinnitus and tinnitus secondary to other diseases. Subjective tinnitus is invalid; and the existing diagnostic methods for tinnitus are all subjective diagnosis of patients, that is, through inquiry, form filling, external sound source simulation matching test, and psychological assessment methods, let users describe their own tinnitus symptoms and then used to diagnose tinnitus. This diagnostic method is too subjective, but no abnormality is found in the objective examination results, and there is no causal relationship with tinnitus. Because the existing treatment methods for tinnitus are based on the etiology and pathogenesis Tinnitus with a clear mechanism can be effectively treated or alleviated, but for tinnitus with unclear pathogenesis and etiology, the treatment effect is very little, and the pathogenesis of idiopathic subjective tinnitus is still unclear, so a single drug treatment will inevitably have side effects , to this end, a tinnitus diagnosis and treatment system based on neural biofeedback therapy and its application method are proposed

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