Patients suffering from diseases like cerebral palsy, and muscular dystrophy need no support for quick recovery. For such patients, American scientists have prepared a special wheelchair. It starts moving by thinking in the mind. Scientists say that it can be useful for patients with disabilities, spinal injuries, and those who cannot move their arms and legs. Scientists say that it is very useful for millions of people in the world suffering from disabling diseases like cerebral palsy and muscular dystrophy. 55 lakh people in America are suffering from this.

University of Texas scientists say that patients with this wheelchair should wear a skull cap or helmet. It has 31 types of electrodes. These try to read brain signals according to the patient’s needs. Apart from this, the wheelchair is also equipped with a laptop. It works to convert the signal into movement with the help of AI i.e. Artificial Intelligence.

This wheelchair has been in the works for a long time. Scientists say that if patients want to move to the right, they should imagine that they are moving their arms and legs to the right. By doing this, signals are generated in the brain. They try to interpret it as electrodes. That signal is converted into movement with the help of artificial intelligence through a laptop. This causes the wheelchair to turn to the right.

American scientists have developed a wheelchair that can be controlled only by thinking about the patient. This wheelchair understands the brain signal. moves accordingly. University of Texas scientists who prepared it say that patients using wheelchairs will only have to feel that their arms and legs are moving. Just by thinking like this, the movement in the wheelchair starts. Find out what kind of technology is used in this.

Sensors are installed in this wheelchair which works to ensure that no accident happens to the patient. Its test trial was done on three patients. During the test, the task of moving the wheelchair in different directions was performed 60 times. The test was successful. The final trial showed up to 87 percent accurate results. During the trial, 87 percent of the patients performed the same movement as they were asked.


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