Any disease must have an accurate diagnosis before it can play a guiding role in future treatment and rehabilitation. The diagnosis of autism is no exception. But in the past, all the diagnoses of autism and ADHD depended on the external manifestations of patients. Summarize the patient's external behavior through various forms as the basis for judging autism and ADHD.
As we all know, both autism and ADHD originate from the brain problems of patients, and the brain is the root cause of autism. The patient's words and deeds are an execution of the brain's command, which can't accurately reflect the actual state of the brain. Therefore, the error caused by diagnosing autism through behavior is obvious. In other words, it is impossible to really find out the problem brain by diagnosing brain problems through words and deeds. This is also the root of many misdiagnosis. Of course, the method of past diagnosis, which is limited to the level of past science and technology, is also a last resort.
At present, a completely digital detection system that can reflect the actual working state of the brain has been popularized internationally and is gradually being widely used in developed countries. This detection system compares the real-time data of brain waves with a large database of human brain parameters. Thus, there are various problems in the subjects' brains. The system completely adopts digital comparison method, which has high repeatability and accuracy. This method directly detects and compares the data of the brain, so its accuracy is several orders of magnitude higher than that of behavioral diagnosis through the peripheral reaction of the brain.
The following examples illustrate how the system uses digital technology to determine the type of patients.
the first case. The patient in this case was diagnosed as autism by many hospitals and rehabilitation institutions. How did they decide? We won't go into details here. The result of this patient's test in this system is severe ADHD with autism symptoms. Look at the patient's EEG data table: < P > According to the German diagnostic criteria, the typical judgment basis of autism in this table is that the EEG values in the three white circles are lower than normal. Only when all three of them are lower than the normal values in the large database can they be judged as autism, and none of them can be regarded as autism. However, the patient's brain wave value in only one position is lower than normal, while the brain wave values in the other two positions are normal, so the patient only has some symptoms of autism rather than autism. The patient's main problem is that his high-frequency brain wave value is much higher than normal. According to German diagnostic criteria, this patient is a typical patient with severe ADHD. Therefore, the patient's final diagnosis is "severe ADHD with autism, not autism." Why are there essential differences between the two diagnostic methods? The reason is that the actual behavior of ADHD patients, especially those with severe ADHD, is the same as that of autistic patients, such as poor cognitive ability and low language ability, so the traditional diagnosis method based on behavior confuses the two. The new system will not produce this problem because of the adoption and analysis of digital real-time EEG data, but will accurately distinguish autism from ADHD and other problems. On the basis of the above diagnosis results, the patient was mainly rehabilitated by the new system and achieved good practical rehabilitation results. As for how to rehabilitate the new system, I won't go into details here.
case 2. This is another patient's brain wave data chart.
The chart shows that the patient is a very severe ADHD patient with no symptoms of autism. The patient was diagnosed with autism in hospitals and rehabilitation institutions. Therefore, the patient has been in traditional rehabilitation training for more than one year, without any improvement, still unable to sleep at night and basically unable to speak. According to the diagnosis conclusion of data analysis and the training of the new system, the new system solved the problem that the patient couldn't sleep in just eight classes. After 2 classes, he could sit quietly and do homework, watch TV, eat, etc., and his language began to improve.
to sum up. With the maturity and perfection of modern sensor technology, computer technology and big data technology, as well as the improvement of brain wave analysis and comparison technology, the detection of brain problems including autism and ADHD has the ability of digital detection. It is no longer necessary to push back the problem of the brain through the behavior of people with nerve endings. This is bound to greatly reduce the misdiagnosis rate of diseases caused by brain problems. To lay a good foundation for the rehabilitation of autistic patients.