Last Update: October 03, 2022, 17:58 IST
The data included more than 7,600 people including 757 Parkinson’s disease patients.
The symptoms of the disease usually start getting worse gradually.
Parkinson’s disease is a health problem caused by damage or death of brain cells in the part of the brain that produces dopamine. This chemical is responsible for smooth and purposeful activities. If the damage is not dealt, it causes further unintended or uncontrollable movements. These include stiffness, tremors, and difficulty with balance and coordination. The symptoms of the disease usually start getting worse gradually. The condition can be diagnosed based on only a few symptoms as there is no way to diagnose it through blood tests or imaging tests.
Currently, the Massachusetts Institute’s Dr. A group of researchers led by Dina Katabi technology Are testing ways to use artificial intelligence to diagnose Parkinson’s disease. NIH-funded research has published a study showing that the group designed a computer program based on neural networks that can analyze breathing patterns during sleep and arrive at a diagnosis of disease. The areas of the brain that control breathing and sleep are first affected during Parkinson’s disease.
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There were two types of tests used to monitor patients where a wireless sensor analyzed their data and another where the patients wore a belt on their chest (polysomnogram test).
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The data included more than 7,600 people including 757 Parkinson’s disease patients. The results came on August 22, 2022 and the accuracy of the program turned out to be 80% from the first night’s data. That number rose to 86 percent when the program used wireless breathing data for one night. By the end of 12 nights, the accuracy increased to 95%.
The team also tested the program’s ability to track the intensity of Parkinson’s disease. However, the program is currently insensitive to major changes. Compared to them, the program was more receptive to small changes caused by the disease.
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