Published on May 5, 2017 by Amazon Web Services

Parkinson’s Disease (PD)—a neuromuscular disease that causes gradually worsening symptoms such as tremors, difficulty in movement, and sleep loss —affects over 5 million people worldwide. Because the symptoms vary from individual to individual, research into the disease is hampered by the lack of objective data. As is typical of many healthcare applications, the collection, storage, and analysis of data is complex, expensive, and time-consuming. MJFF, AWS, and Intel built a big data analytics platform on AWS using Hadoop and other IoT technologies. The platform collects and processes large stream of data, and makes different analytics services, such as activity recognition, available to researchers. This video highlights how MJFF has allowed researchers to engage in ways that were never possible in the old world to accelerate finding a cure for Parkinson’s Disease using wearables, IoT, and more.

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