Research shows that wearable devices can be used as a tool to screen advanced Parkinson's treatment

Release date: 2016-07-28

Great Lakes Neurotechnology (GLNT) in Valleyview, Ohio, is a company that uses flatbed and wearable sensors for the diagnosis and treatment of Parkinson's disease, and recently published the latest research. The study explored how to use wearable devices to improve the referral rate of Parkinson's patients.
This small study suggests that remote monitoring of Parkinson's patients allows clinicians to make better decisions when considering advanced therapies. Using GLNT's KinesiaOne technology, which links to the portal through wearable sensors, the researchers found that this allowed clinicians to perceive specific variables, such as the severity and volatility of motor skills symptoms, but only standard treatments could not.
The researchers monitored 40 patients with Parkinson's disease for a year. Patients were randomized into two groups, one using KinesiaOne and the other using standard care, with a neurologist every four months. In the intervention group, clinicians remotely view detailed motor skills and motor impairments (including autonomous dyskinesia) reports to help with disease management decisions. The researchers found that after viewing the remote monitoring report, the clinician suggested that patients with advanced treatment recommendations, such as deep brain stimulation or implanted drug pumps, were five times more likely than the conventional treatment group.
GLNT plans to expand the sample size for more detailed studies to validate the possibility of this technology as an advanced treatment screening tool.
In 2011, GLNT was separated from Cleveland Medical Devices and began to work on sensor technology research. A year later, they began clinical trials of Kinesia system validation. In 2014, GLNT received NIH funding of $1.5 million for direct market-oriented consumerization.
        
Original link: http://mobihealthnews.com/content/study-wearable-data-can-help-identify-candidates-advanced-parkinsons-therapies

Source: Kexun Medical Network

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