Icdcn healthcare ws_arpanpal
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Sensor data analytics can enable remote healthcare by collecting data from devices like ECG monitors and analyzing the data. However, privacy is a major concern with sensor data collection. Model-driven development can help design sensor analytics systems that respect privacy by formalizing domain knowledge. Sensor data analytics has the potential to improve healthcare by enabling predictive analysis, real-time monitoring, and insights from new data sources like mobile health apps and genetic data. However, privacy violations are common and behavioral privacy is threatened by widespread sensor data collection without proper privacy protections.
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Icdcn healthcare ws_arpanpal
- 1. 1Copyright © 2014 Tata Consultancy Services Limited Dr. Arpan Pal Principal Scientist and Head of Research Innovation Lab, Kolkata Tata Consultancy Services Sensor Data Analytics for Remote Healthcare 17 May 2015
- 2. 2 Agenda Privacy Issues Model-driven Development for Healthcare Analytics Sensor Data Analytics and Healthcare
- 3. 3 Click to edit Master title styleSensor Data Analytics and Healthcare
- 4. 4 Sensor Technology Maturity Material Sciences Sensor techniques Miniaturization Energy Technologies Progress In: Moore’s Law – Compute Power Doubles every Two Years Kryder’s Law – Storage Density Doubles every Two Years Nielsens’s Law – Network Capacity Doubles every Two Years By year 2020, Sensor nodes will have • 1GHz CPU, 32MB of Flash, 1MB RAM, 192 pixel display By year 2050, Sensor nodes will have • 65 GHz CPU, 2TB of Flash, 67GB RAM, 1024x768 pixel display With a battery power to last a year!! source: Mingun Sarer and Rik Farrow, “Some Lesser-known Laws of Computer Science”, LOGIN, vol. 32, no. 4
- 5. 5 It’s a Connected Universe NEVER FORGET YOUR PILLS MONITOR YOUR ACTIVITYMONITOR THE AGED source: http://postscapes.com/internet-of-things-examples/ HEAT YOUR HOME EFFICIENTLY MAKE SURE THE OVEN IS OFF TRACK DOWN THOSE LOST KEYS KEEP THE CITY CLEAN RECEIVE POLLUTION WARNINGS USE ELECTRICITY MORE EFFICIENTLY Connected Individual Connected Home Connected City
- 6. 6 Sensor Analytics - Understanding the People Context Non-intrusive, un-obtrusive sensing Identity, Location, Activity, Physiology Understand Behavior – Individuals / Groups Quantified Self Privacy is a big Concern Analytics based Context Discovery can make Healthcare more holistic encompassing all aspects of our life
- 7. 7 Sensor Data Analytics – what does it really mean? Predictive Analysis - Prognostics Real-time Big Data Distributed Computing Causal Analysis - Diagnostics Insights and Visualization
- 8. 8 Analytics for Healthcare - Trends Data Driven Healthcare – MIT Technology Review Business Report
- 9. 9 Newer Data Sources are available Data Driven Healthcare – MIT Technology Review Business Report – 23andMe
- 10. 10 Data Driven Healthcare – MIT Technology Review Business Report Mobile Health Apps are becoming popular
- 11. 11 Data Driven Healthcare – MIT Technology Review Business Report New Sensing Technologies for Healthcare
- 12. 12 Sensor Analytics-driven Intelligent Systems People Feedback & Emotions Social Media Integrated Services Wearable / Mobile / in-home sensors Legacy Monitoring Systems in Hospitals Patient Data Smart Integration Platform Transportation Healthcare Energy RetailEnvironment Manufacturing Smart Integrated Services Sense Analyze Extract Respond Intelligence Smart Domain Services Supply Chain Safety, Security and Surveillance Sense: People Context, Physiology, Ambient Environment, Genetics Sync Healthcare with Transportation Link Healthcare with Environment Link Healthcare with Surveillance Intelligent Integration Platform Integrated Intelligent Services
- 13. 13 Remote Healthcare - Telemedicine Health Center/Home ECG Blood Pressure Monitor Pulse OxyMeter Gateway TCUP Web Request Patient Records Social Network Healthcare Portal Expert Doctor
- 14. 14 Remote Healthcare – Analytics Driven Health Center/Home ECG Blood Pressure Monitor Pulse OxyMeter Gateway TCUP Web Request Patient Records Social Network Analytics Engine Expert Doctor
- 15. 15 Analytics-as-a-Service for Healthcare IntegrationBus Data Acquisition Cyber Physical Models Knowledge bases Pre-Processing Local Analytics / Interpretation Data Fusion & Correlation / Situation DetectionDomain Models Machine Learning, Reasoning & Predictive Analytics IntegrationBus People Feedback & Emotions Visualization / Visual Analytics Sensor Observations, Events, Messages, Feeds etc. Historical Data Real-Time Data Streams Inferred/ Computed Data Sense: People Context, Physiology, Ambient Environment, Genetics
- 16. 16 Model-driven Development for Healthcare Analytics
- 17. 17 Sensors & actuators request response Traditional internet-based software stack Drivers “Things” – Traditional Embedded Devices Traditional way to look at Sensor Analytics - Embedded + Internet
- 18. 18 Actuators Sensors Drivers A new way to look at Analytics – Knowledge-driven Semantic Sensor Web Entity of Interest (Human Body) Phenomenon (Disease) observation Drivers Sensor measurement Deduce Disease actuation Physical World Cyber World
- 20. 20 A bigger challenge for Analytics – a wide variety of stakeholders I only know the business logic, I do not know how to code, nor do I understand analytics algorithms… I know how to code, but I do not know algorithms, nor do I know about the business logic… Oh, I know algorithms, but I can’t code for your mobile devices… I have all these cloud and edge nodes which you can use to deploy the app… Need for Model-driven-development in IoT Analytics
- 21. 21 Isaac Kohane, Harvard CBMI Domain Knowledge is important for Healthcare
- 22. 22 The Concept of MDD for IoT
- 23. 23 Knowledge Modeling - Example signal has FFT frequency Observation isA Type periodic has isA suggestedAlgo Analytics Of Type isA Sub FoI FeatureOfInterest Symptom has Stimuli/Reason Observation has isA sensor observedBy has Rule Set Prop 1 type Generic has Of Type Heart BodyPart isA High heart rate has Tachycardia Physiological parameters has isA PPG by camera has Rule Set: Heart rate > 140 observedBy Heart Rate periodic Domain Specific has sameAs isA
- 25. 25 The Holy Grail of Privacy Data that is both contextually useful as well as forever privacy preserving • Privacy agreements are ok for legalities sake – but does the average user understand it? https://www.privacyrights.org/fs/fs2b-cellprivacy.htm • Main issue – Is the data I am giving out is worth the Utility I am getting? PrivacyUtility
- 26. 26 Isaac Kohane, Harvard CBMI Privacy Violation in Healthcare is Common
- 27. 27 Implications Behavioral privacy is under unprecedented threat Original picture from: http://thedailydose.com, Aug 16, 2011 with Sensor Analytics Report by The Pew Research Center Internet Project and Elon University's Imagining the Internet Center having opinions from 1,600+ experts reads: “Increased data from connected things will cause privacy concerns to come to the forefront and encourage the growth of profiling and targeting people, which will greatly inflame conflicts in various arenas.”