AWS re:Invent 2014 | (BDT209) Intel HC Cloud Solution - Wearables for Parkinson's Disease Research

Опубликовано 21 ноября 2014, 19:48

In this session, learn how the Intel team of software engineers and data scientists, in collaboration with the Michael J Fox Foundation, built a big data analytics platform using Hadoop and other IoT technologies. The solution leverages wearable sensors and smartphone application to monitor PD patient's motor activities, 24/7. The platform collects and processes large stream of data, and enables different analytics services such as activity recognition and different PD related measurements to researchers. These machine learning algorithms are used to detect patterns in the data that can help researchers understand the progression of the disease and develop effective treatments. You leave with a comprehensive view of the tools and platforms from Intel that you can use in building your own applications on AWS. In addition there will be a deeper dive to explain the way this platforms enables near real- time analytics as part of the ingestion process.

Parkinson's Disease-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. Intel is tackling this challenge by building a solution that uses wearable devices to collect data from patients anonymously and store it securely.
Sponsored by Intel.