Researchers have demonstrated that digital wearable devices can track the progression of Parkinson's disease more effectively than human clinical observation. A team of researchers from the University of Oxford and Michigan State University conducted studies using off-the-shelf wearable sensors and AI-powered wearable sensors to monitor the motor symptoms and movement patterns of individuals with Parkinson's disease. The results showed that these devices were able to track the disease progression more accurately than traditional clinical rating scales. This breakthrough could lead to improved monitoring and tailored interventions for patients with Parkinson's disease, offering hope for better management of the condition.
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A team of researchers showed that digital wearable devices can track the progression of Parkinson’s disease in an individual more effectively than human clinical observation can https://t.co/QLjCmZm59m
Researchers at @michiganstateu are experimenting with AI-powered wearable sensors that track the movement and body language of students with developmental disabilities to help teachers better support them and tailor interventions to improve outcomes. https://t.co/xfKNzcICl2
A team of researchers showed that digital wearable devices can track the progression of Parkinson’s disease in an individual more effectively than human clinical observation can https://t.co/5XBe70nhpV
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A team of researchers showed that digital wearable devices can track the progression of Parkinson’s disease in an individual more effectively than human clinical observation can https://t.co/YIsoqQVzEu
Wearable sensors and corresponding algorithms may be able to track the motor symptom progression in Parkinson's Disease better than current clinical rating scales in small study https://t.co/70XoA4PTsu (coverage https://t.co/9ph3oZOsff @nytimes )
.@UniofOxford researchers have demonstrated that off-the-shelf wearable sensors can track the progression of Parkinson’s disease in an individual more effectively than human clinical observation can. https://t.co/5WuUA6OWVS
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