There are many differences between children's OSAHS and adult OSAHS. Children's OSAHS mainly causes cognitive and neuropsychological disorders, hyperactivity disorder, attention deficit hyperactivity disorder, aggressive behavior, learning decline and nocturnal enuresis. At present, there are many studies on cognitive impairment in children with OSAHS at home and abroad. Cognitive impairment mainly affects attention, memory, especially executive function, such as problem solving, planning, goal-oriented behavior and so on. Lau EY et al assessed cognitive function by Wechner intelligence scale, children's auditory task, digital vigilance test and so on. It was found that compared with the normal group, the language working memory of OSAHS children was significantly impaired . Peng Wanda et al used routine craniocerebral MRI sequence and fluid attenuated inversion recovery (FIAIR) sequence perpendicular to bilateral hippocampus for imaging. According to Scheltens standard and Fukudas method, the severity of (PVH), which was associated with hippocampal volume atrophy and white matter lesion, was evaluated. The changes of cognitive function were evaluated by Montreal Cognitive Assessment scale (MoCA) and Mini Mental State scale (MMSE). The results showed that hippocampal volume atrophy and white matter lesions were closely related to cognitive impairment in patients with OSAHS. Craniocerebral MRI technique can provide objective imaging basis for the diagnosis of cognitive impairment in patients with OSAHS . However, these studies also have shortcomings. first of all, most studies do not study the cognitive process of OSAHS children as a complete system, but only study the correlation between one side (subsystem) or some aspects of children's cognition. Such as memory, executive function and so on. Modern cognitive neuroscience holds that cognitive process is the process of receiving, coding, storing, extracting and using information in the brain, that is, the process of information processing. Whether OSAHS children have defects in the process of information processing has not been reported at home and abroad. Secondly, due to the limitations of cognitive assessment tools, there is a lack of quantitative research. Adenoidectomy (adenotonsillectomy,AT) is recognized as the most commonly used treatment for OSAHS . AT treatment can effectively relieve respiratory tract obstruction caused by the proliferation of lymphoid tissue in the upper airway during sleep. In recent years, it has been found that the inflammatory response mediated by 1eukotriene (LTS) plays an important role in the pathogenesis and progress of OSAHS. It has also been found that long-term continuous positive airway pressure ventilation (Continuous Positive Airway Pressure,CPAP) can reduce serum inflammation and improve cognitive impairment in children with OSAHS . These treatments relieve obstruction of the upper airway in children with OSAHS, relieve nocturnal hypoxia exposure, and help improve damaged cognitive function, but fully restore advanced brain function. That is, in the process of understanding objective things, the acquisition, coding, operation, extraction and use of sensory input information need to improve their cognitive function and cognitive skills through cognitive training.

However, DN-CAS is a system established by English background. If the system is introduced directly, it may not adapt to the Chinese background. For example, Chinese phonetic training, Chinese character dyslexia training, planning process training based on Chinese cultural background and so on may not be applicable, so it is necessary to improve and introduce Chinese background based on PASS theory.

The existing cognitive training systems at home and abroad can not form an electronic prescription system which can cooperate with the diagnostic results. The prescription form is presented in the traditional paper form and lacks good confidentiality, ease of use and storage management. The training system also lacks flexible support for personalized training of patients. Patients are under the guidance of the doctor on the spot, in the hospital venue to complete the training, the training process needs the doctor to carry on the artificial treatment and guidance. It is difficult for doctors to easily customize different training prescriptions for different patients, and it is also difficult to carry out the electronic management of patient training data. The existing cognitive training systems are stand-alone systems, and there is no integrated system of screening, diagnosis and training. The scope and effect of application are greatly limited, far from being able to meet the growing needs of patients. The training plan based on PASS theory should be a personalized scheme based on common principles to adapt to individuals with different cognitive function levels. Therefore, the system generates personalized electronic prescriptions according to the training knowledge base, in which different training levels, contents and processes are customized according to the level and characteristics of individual cognitive function. The electronic prescription is provided to the patient in an encrypted storage medium, and the patient uses it to carry out training at the telemedicine terminal. During the training, the electronic prescription can automatically guide the patients to carry out the training steps without artificial treatment and show the personalized training scene for the patients. The training process and results are automatically monitored and recorded to the training centre server for evaluation and analysis by doctors.

The computer cloud system to be developed in this project is mainly composed of electronic scale evaluation system and brain cognitive function monitoring system. The electronic scale evaluation system is a semi-quantitative computer cloud system for self-evaluation of clinical symptoms and physician-assisted clinical syndrome evaluation. Its working principle is that the computer takes the place of doctors to conduct directional consultation with patients. The results of consultation were transformed into semi-quantitative data and compared with the established mathematical models to provide doctors with semi-quantitative decision-making data. The advantage of the system is that because the computer performs semi-quantitative consultation instead of the doctor, the patient's current history, past history, general situation and symptoms can be collected in detail and semi-quantitatively. At the same time, the working time of the doctor is saved and the intensity of the doctor's work is reduced at the same time, to the greatest extent, the omission of consultation in the consultation of the doctor is avoided, and the working time of the doctor is saved at the same time. (2) because the semi-quantitative results are compared with the previous data models, doctors can find diseases in more case models and help doctors find quantitative evidence for qualitative diagnosis. (3) due to the detailed consultation of the computer, sense of security, which brings high quality services to patients and detailed medical services, has increased the compliance of diagnosis and treatment. The brain cognitive function detection system is a computer cloud system laboratory, which is composed of several brain cognitive function detection subsystems, which reflects the function of brain information and function. The system presents the target task composed of the simplest visual basic geometry through the display screen, enables the detection object to complete the target task by operating the computer, and records the accuracy and time of completion. By comparing the results with the established mathematical models, we can measure the information plus function in 16 aspects of the human brain. Due to the introduction of time and space as the evaluation index of brain cognitive function, the detection of brain cognitive function gets rid of the traditional scale evaluation and enters the level of objective evaluation of physics.

In summary, based on the international advanced cognitive science PASS theory, this project intends to establish a digital remote DN:CAS cognitive evaluation and training (DN:CAS) computer remote system under the Chinese background. The information processing process of OSAHS children was quantitatively evaluated, on the basis of which the classification of defects in children's OSAHS information processing process was further discussed, and a cognitive prescription and remote training system with independent intellectual property rights was constructed. Finally, a complete screening-diagnosis-training-reevaluation process based on cloud computing is formed, in order to provide a basis for personalized clinical diagnosis and treatment.