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At least one million Americans and five million people worldwide are coping with Parkinson’s disease (PD). As of today, no objective diagnosis test exists, nor is there a cure. There is so much about PD that defined as mystery.
Hundreds of skilled neurologists, mathematicians and data analysts across the globe are looking for at home real-life PD data set, to exercise their knowledge expertise and come up with innovative research directions.
Intel is working with The Michael J. Fox Foundation for Parkinson’s Research (MJFF) to enable breakthroughs in Parkinson disease research through wearable and big data analytics technologies. A large, virtual data-gathering study is executed these days, gathering sensory data from the PD patients; analyze that data to identify patterns and make generalizations; use insights gained to accelerate the development of therapeutic breakthroughs, and potentially even a cure, for the disease. ~130 Patients in the United States are already streaming sensory date, and amount of data hours gathered so far exceeds 65,000 hours
Utilizing Wearable Technology for PD research
Fox Insight smartphone application, currently available on the Android platform, is connected to a Pebble smartwatch application (Fox Insight Wear) that the users wear on their wrist. The app is designed to bring value to patients on their day-to-day life. The application lets the patient report their medications usage and how they feel, by providing them with an electronic diary that logs their personal subjective overall state. Fox Insight Mobile app also let the patients add medication reminders. Armed with personalized information and graphs as well as medication history provided by the App, patients are able to track and monitor their activity levels, tremor, and night time activity, allowing them to micromanage their regimen to suit their personal preferences and needs. Patients’ time-stamped records of behavior will help researchers correlate patients’ activity, feelings, and medications, to meaningful hypotheses that can later be tested through normal scientific methods.
IoT at the service of PD research
Data is our most valuable asset. The more data, the better. But, it also presents a greater challenge: The wearable internal measurement units (IMU) are capable of recording 150 to 300 samples of sensory data per second per user. With hundreds and thousands of concurrent users streaming data for months and years, there’s an obvious requirement for a system that can collect, store and process massive amounts of data. To fulfill this requirement, we use IoT framework. The Big data tools used in the platform are all scalable and include, among others, a messaging framework (Mosquitto MQTT broker and the AKKA toolkit that allows for distributed parallel processing) Big data storage based on Cloudera distribution for Hadoop, and application interface layer based on the Play framework.
At least one million Americans and five million people worldwide are coping with Parkinson’s disease (PD). As of today, no objective diagnosis test exists, nor is there a cure. There is so much about PD that defined as mystery.
Hundreds of skilled neurologists, mathematicians and data analysts across the globe are looking for at home real-life PD data set, to exercise their knowledge expertise and come up with innovative research directions.
Intel is working with The Michael J. Fox Foundation for Parkinson’s Research (MJFF) to enable breakthroughs in Parkinson disease research through wearable and big data analytics technologies. A large, virtual data-gathering study is executed these days, gathering sensory data from the PD patients; analyze that data to identify patterns and make generalizations; use insights gained to accelerate the development of therapeutic breakthroughs, and potentially even a cure, for the disease. ~130 Patients in the United States are already streaming sensory date, and amount of data hours gathered so far exceeds 65,000 hours
Utilizing Wearable Technology for PD research
Fox Insight smartphone application, currently available on the Android platform, is connected to a Pebble smartwatch application (Fox Insight Wear) that the users wear on their wrist. The app is designed to bring value to patients on their day-to-day life. The application lets the patient report their medications usage and how they feel, by providing them with an electronic diary that logs their personal subjective overall state. Fox Insight Mobile app also let the patients add medication reminders. Armed with personalized information and graphs as well as medication history provided by the App, patients are able to track and monitor their activity levels, tremor, and night time activity, allowing them to micromanage their regimen to suit their personal preferences and needs. Patients’ time-stamped records of behavior will help researchers correlate patients’ activity, feelings, and medications, to meaningful hypotheses that can later be tested through normal scientific methods.
IoT at the service of PD research
Data is our most valuable asset. The more data, the better. But, it also presents a greater challenge: The wearable internal measurement units (IMU) are capable of recording 150 to 300 samples of sensory data per second per user. With hundreds and thousands of concurrent users streaming data for months and years, there’s an obvious requirement for a system that can collect, store and process massive amounts of data. To fulfill this requirement, we use IoT framework. The Big data tools used in the platform are all scalable and include, among others, a messaging framework (Mosquitto MQTT broker and the AKKA toolkit that allows for distributed parallel processing) Big data storage based on Cloudera distribution for Hadoop, and application interface layer based on the Play framework.
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