Post on 16-May-2015
description
Place and Health
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Why We Care
The built environment impacts health by impacting:
Access & Exposure
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Access
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Exposure
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Active Living Research
Established in 2001, ALR supports research to identify environmental factors and policies that influence physical activity.
Administered by San Diego State University Research Foundation.
Led by Dr. James Sallis
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Genes & Environment Initiative
The Genes and Environment Initiative is a five-year, NIH-wide effort to identify the
genetic and environmental basis of asthma, diabetes, cancer, and other
common illnesses
SENSORS
ANALYTICS
SYSTEMS
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Physical
Activity
Location
Measurement
System 7
Merging & Calculations
Data Processing
Web-based
User Interface
INDIVIDUALS
ENVIRONMENT
SENSINGTECHNOLOGY
LOCATION
BEHAVIOR
TIME
EXPOSURE
Security & Sharing
System Architecture
PALMS SYSTEMANALYSIS
GIS
STATISTICS
VIZUALIZE
Researcher Points of Entry
Study CreationAdd Data Sources Collaborate Re-
analyze
The PALMS Story
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Sensors for Physical Activity, Location & Exposure
Physical activity– M – Actigraph– M – Actical– HR+M - Actiheart– HR+M – Actitrainer– HR+M+ respiration +
skin temp – Bioharness
Location - GPS– DG-100– BT-335– Qstarz 1000
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Accelerometers and heart rate monitors tell how active and when…
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When combined with GPS, we also know
where activity occurs
Heart rateshown inGoogle Earth
resting light moderate vigorous
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Heart rateshown inESRI ArcGISagainst land use
When combined with GIS, we know the context in which activity occurs
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PALMS GPS Data Cleaning
Before – Multi-story buildings generate noise
After – Noise removedYellow = walking Orange = pausedGray circles = relative time at location
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Indoor/Outdoor Detection with location clustering
OutdoorsIndoors / In-vehicle
Locations shown in gray
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PALMS CVS Outputanalyzed by ArcGIS system
Activity within parks by accelerometer count coded by
intensity
Activity within parks 15
PALMS is being designed for Data Sharing
• “… making data as widely and freely available as possible, while safeguarding the privacy of participants, and protecting confidential and proprietary data.” – NIH
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— Data related to your own specialty — Rare data
— Clinical population data — Pooled data
— Data promoting education — Test/training data
— Calculations & visualizations — Protocols
1http://grants.nih.gov/grants/policy/data_sharing/data_sharing_guidance.htm
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Our Questions
Large Data Sets
Population vs. Individuals
Time Dependence
Visualizations
Pattern Recognition 17
All photos via Flickr (Slide#/Flickr ID)
1/caveman_92223 2/CarbonNYC 3/mrbling 4/respres 5/soaptrail 6/gringod 17/oberazzi
Ernesto Ramirezerramirez@ucsd.edu
Fredric Raabfraab@ucsd.edu
cwphs.ucsd.edu