A new video analysis method using machine learning can detect early signs of Parkinson’s disease, including those invisible to the human eye. The results of the study were published in the journal Parkinsonism and Related Disorders (PARKINSONISM RELAT D).
Scientists from the US used machine learning to analyse videos of people performing simple movements with their arms and legs. They looked for subtle differences between healthy people and those with early Parkinson’s disease. The method allowed them to identify differences with 86% accuracy.
The results highlight that Parkinson’s disease often begins asymmetrically, meaning one side of the body is more affected in the early stages of the disease.
Parkinson’s disease is caused by the loss of brain cells that produce the chemical dopamine, which causes movement disorders, depression, sleep disorders and disability.
Before this, scientists I learnedIt is stated that Parkinson’s disease may be caused by a buildup of fat in brain cells responsible for dopamine production. This discovery could form the basis of the first drugs against Parkinson’s disease.
Earlier scientists to create Relationship between Parkinson’s disease and daytime sleepiness.
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Source: Gazeta
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