Smartwatches are currently very popular among people of all ages. Thinking about the needs of these people, big companies have been making smartwatches for a long time, but this time, small companies have also started making smartwatches in addition to famous expensive brands.

Until now, smartwatches can be used to view jury notifications, watch time, connect with phones via Bluetooth, weather updates, heartbeat monitoring, SPO2 tracking, sleep monitoring, etc. Also, monitoring a person's activities throughout the day can be done through smartwatches. goes For example, how long the user of this smartwatch has walked, how long he has slept, and even where he has moved can be easily known.

However, this time the smartwatch will also play a role in the diagnosis of various diseases of the body. A group of researchers have claimed that the user's brain disorder can also be detected by the smartwatch. Until now smartwatches were limited to only health tracking features. But new research suggests that a smartwatch may also be useful in detecting Parkinson's disease.

After conducting a study on 1 lakh 3 thousand smartwatch users, the smartwatch measured the movement speed of each person among them. The study was conducted by tracking the movement signals of the smartwatch users. The study also used an AI model to compare data from people with Parkinson's disease.
Parkinson's is a brain disease that restricts a person's movement. This happens because of brain cell damage. The disease continues to grow. If this disease is not diagnosed on time, it can cause great damage to people. Symptoms of the disease include tremors, slowness of movement and difficulty walking. If the results of this research can be used in smartwatches, it will help to understand the early signs of Parkinson's disease.

This smartwatch model has proven to be very helpful in providing early warning to those who are likely to develop Parkinson's disease and has also provided accurate estimates of the progression of the disease. Researchers have been able to identify people at risk of developing Parkinson's disease with about 90% accuracy.