PowerPoint Presentation

Enable breakthroughs in Parkinson disease research through wearables and Big Data analytics technologies

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About usPart of the Big Data Analytics Solutions group @IntelDeveloping products & solutions leveraging:Big Data & edge-technologiesSelf developed machine learning & steam analytics algorithmsOur team includes developers, data scientists and system analystsI am a Big Data Analytics Architect and R&D Manager responsible for leading-edge technology projects within Intel involving Big Data and stream analytics solutions in the Internet of Things and Mobile Healthcare2

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How It All Started?3

Big data analyticsIOT

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Parkinsons Disease4

OVER AGE 0F 601/10060,000NEW

1M/US5M/WORLD

NO CURE,MEDICATION ONLY HELPS WITH SYMPTOMSThere isNO TEST and no PROGRESSIONMARKER

Common symptoms includeTREMOR SLEEP QUALITYSLOWNESS DEPRESSION

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Challenges To Address

NO OBJECTIVE MEASURE3-6 MONTHSBETWEENPHYSICIANVISITSCHANGES ARE SLOW AND HARD TO DETECTAVERAGE TRIAL SIZE< 100PATIENTSVERY SMALLnumber of patients contribute to researchCOST OF TRIALS are in the scales of $M5

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HOW?6

The Solution Wear a watch

Start an application712

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Use Cases

MANAGE THE DISEASE USING DATA

FREE DATA FOR 1000S OF PATIENTSACCURATE REPORT SINCE LAST VISITMEASURE MEDICATION EFFECTRESEARCHERPHARMACEUTICALCLINICIAN

INTEL BIG DATA CLOUDANALYSTICSINSIGHT / VALUE

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THE APPLICATION9

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Medication reporting

Medication reminder

Report something

PATIENT REPORTED

OTHER

Configurable data collections

Contribution score

Useful Accessories

Pebble notifications

OBJECTIVE MEASURES

Gait

Sleep

Tremor

Activity Level

Controlled Tests

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BIG-DATA and IOT TECHNOLOGIES11

SERVICE LAYERBATCH ANALYTICS LAYERSTREAM ANALYICS LAYERINGESTION LAYERSTORAGE LAYER

USER INTERFACE LAYER

Mosquitto

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CLOUD COMPUTING SERVICES

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Cloudera Enterprise Data HubHBase as main scalable time series data storage layerAllows high writes throughput Random real-time access to stored dataHighly available MySQL as metadata storage

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STORAGE LAYER

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Based on Apache Spark over HBaseSpark is a fast and general engine for large-scale data processingAlgorithms & Calculations are being executed on large data sets on a daily basisLayer includes set of self developed complex machine learning algorithms

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BATCH ANALYTICS LAYER

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Rule Engine Support simple and complex event based rules Calculations over large datasets to extract statistical baselineAutomatic Change DetectionCalculates normal sensors activity over large data setsAutomatically detect changes in sensors activity Data Export ServiceEnables transform and export of large data sets using Spark

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BATCH ANALYTICS LAYER

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CHALLENGES16

ChallengesBackward compatibilityStarted with Spark 0.7.0Versions upgrading often required code changes / recompilationSpark over HBase access and tuning Yarn integration improvementsPioneers with Spark on Yarn modeMissing parameters were added following our work

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ChallengesData Scientists / Algorithms developers educationSpark as a reporting tool for interactive data extraction over HBaseFailed to achieve quick fast response timesExecution method of many small jobs Spark Context per jobSingle Spark context managing many jobsSpark context driver GC issues

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ANALYTICS19

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Activity Level The main feature the patients have asked forMotivates the patients to be more active (known to be important for PD patients)Describes the intensity of the patients activity throughout the day alongside with his/her medication intakePersonalized high activity threshold per patient20

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Activity Level An Example21

Activity Level in Controlled Session (ON State)Activity Level in Controlled Session (OFF State)

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Night Time AnalysisMany Parkinson patients suffer from sleep disorders or experience PD symptoms during the nightProvide patients with analysis of their movements during the nightReports minimal, moderate and intense movement periods during the nightAllows patients to better plan their sleep time and wake up times for their medications taking 22

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Night Time Analysis23

Total time of minimal movement: 6hr 5min, Periods of extensive movement: 5Total time of minimal movement: 8hr 10min, Periods of extensive movement: 0

ParkinsonPatientHealthyPerson

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TRIALS AND PARTNERS24

REAL PD L-DOPA RESPONSE TRIAL DATA GATHERING TRIAL FOX INTEL APPLICATION TRIAL

1000303020 FOX INSIGHT WEAR

100050303020500

25Trial And PartnersSCRIPPS TREMMOR TRIAL

10010

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WHATS NEXT?26

SCALE

PLATFORMScale to 1000s of patients in the US Scale to 1000s of patients in the NetherlandsIOS Full supportSupport additional wearablesBuild more value generating capabilitiesEnrich Platform (i.e. Reporting capabilities)Provide a solution for clinicians to access the data Expand insights extractions from collected data27

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Q&A

Thank you!29