Big Data, Small Data

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The future of sensing in sustainability and health

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eric c. larson | eclarson.com

big data, small data:

Assistant Professor Computer Science and Engineering

the future of sensing in health and sustainability

easy to get

easy to gethard to get

easy to get

application

hard to get

easy to get

application

application

hard to get

data

data knowledge=

data you

data you

personalization

data you

personalization

feedback

health and sustainability

health and sustainabilitysmall data in

health and sustainability

sensing

you

small data in

health and sustainability

sensing

you

sensing

you

stakeholders

small data in

sustainability and water

lake mead 1983

sustainability and water

lake mead 2011

lake mead 2011

$2,994.83

eco-feedback

Geographic Comparisons Dashboards

Metaphorical Unit Designs Recommendations

eco-feedback

Geographic Comparisons Dashboards

Metaphorical Unit Designs Recommendations

0%

5%

10%

15%

20%

1 2 3 4 5 Untitled 1

20%

12%9.2%8.4%

6.8%

3.8%

Enhanced Billing

Web Based

Daily Feedback

Realtime Feedback

Appliance Level + Personalized

Feedback

Annu

al %

Sav

ings

Based on 36 studies between 1995-2010. Summarized by Ehrhardt-Matinez et al. >20% reduction: Gardner et al. (2008) and Laitner et al. (2009)

Appliance Level

types of eco-feedback

0%

5%

10%

15%

20%

1 2 3 4 5 Untitled 1

20%

12%9.2%8.4%

6.8%

3.8%

Enhanced Billing

Web Based

Daily Feedback

Realtime Feedback

Appliance Level + Personalized

Feedback

Annu

al %

Sav

ings

Based on 36 studies between 1995-2010. Summarized by Ehrhardt-Matinez et al. >20% reduction: Gardner et al. (2008) and Laitner et al. (2009)

Appliance Level

types of eco-feedback

aggregate

0%

5%

10%

15%

20%

1 2 3 4 5 Untitled 1

20%

12%9.2%8.4%

6.8%

3.8%

Enhanced Billing

Web Based

Daily Feedback

Realtime Feedback

Appliance Level + Personalized

Feedback

Annu

al %

Sav

ings

Based on 36 studies between 1995-2010. Summarized by Ehrhardt-Matinez et al. >20% reduction: Gardner et al. (2008) and Laitner et al. (2009)

Appliance Level

types of eco-feedback

aggregate

disaggregated

on average, a consumer can save 15-25%

bathroom usage

bathroom usage

leaky flapper valve

healthmobile

healthm

MiPhone 9 Now with iColon.

> slide to unlock

the promise of mhealth:

the promise of mhealth:

revolutionize medicine

the promise of mhealth:

revolutionize medicineeliminate doctor visits

the promise of mhealth:

revolutionize medicineeliminate doctor visitsremote / automatic diagnosis

the promise of mhealth:

revolutionize medicineeliminate doctor visitsremote / automatic diagnosisequalize developing countries

the promise of mhealth:

revolutionize medicineeliminate doctor visitsremote / automatic diagnosisequalize developing countries

the promise of mhealth:

revolutionize medicineeliminate doctor visitsremote / automatic diagnosisequalize developing countries

stress check

glucose buddyfitness trainer

heart rate

zombie run current mhealth

stress check

glucose buddyfitness trainer

heart rate

zombie run current mhealth43,000 apps for health on the app store

stress check

glucose buddyfitness trainer

heart rate

zombie run current mhealth43,000 apps for health on the app store 96% are for calorie counting & exercise

stress check

glucose buddyfitness trainer

heart rate

zombie run current mhealth43,000 apps for health on the app store 96% are for calorie counting & exercise4% are remote monitoring

stress check

glucose buddyfitness trainer

heart rate

zombie run current mhealth43,000 apps for health on the app store 96% are for calorie counting & exercise4% are remote monitoring~100 are cleared by the FDA

consider physician’s needs

consider physician’s needsconnecting with patient

consider physician’s needsconnecting with patient tracking baselines

consider physician’s needsconnecting with patient tracking baselinespersonalized trending data

consider physician’s needsconnecting with patient tracking baselinespersonalized trending datamanaging chronic disease

consider physician’s needsconnecting with patient tracking baselinespersonalized trending datamanaging chronic disease

30% of all US healthcare spending is on chronic disease

mhealth and chronic disease management

mhealth and chronic disease management

compliance?cost?

doctor patient?data reliability?

compliance

compliance

baseline quantitysensor

phone as a sensorbaseline quantitysensor

phone as a sensorbaseline quantitysensor

embedded sensors

phone as a sensorbaseline quantitysensor

embedded sensors processing

estimated

accelerometer gyroscope magnetometer /compass dual camera / flash 1+ microphones proximity sensor capacitive sensor gps motorized actuator wireless antenna (s)

accelerometer gyroscope magnetometer /compass dual camera / flash 1+ microphones proximity sensor capacitive sensor gps motorized actuator wireless antenna (s)

compliance++;cost--;dr_pat *= 10;

accelerometer gyroscope magnetometer /compass dual camera / flash 1+ microphones proximity sensor capacitive sensor gps motorized actuator wireless antenna (s)

compliance++;cost--;dr_pat *= 10;

data reliability?

what can the mobile phone sense with clinical accuracy?

what can the mobile phone sense with clinical accuracy?

which chronic diseases should be targeted first?

spirometry testing

flow

volume

volum

e

time

flow

volume

volum

e

time

spirometry testing

flow

volume

volum

e

time

spirometry testing

spirometry

standard of care for:

spirometry

standard of care for: asthma COPD post-transplant breathing cystic fibrosis

spirometry

home spirometry

home spirometry

!

faster detection rapid recovery

trending

home spirometry

high cost barrier patient compliance

less coaching limited integration

challenges with

flow rate volume

lung functionairflow sensor

flow rate volume

lung functionairflow sensor

sound pressure microphone

flow rate volume

lung functionairflow sensor

sound pressure microphone processing

estimated

SpiroSmart

availability cost portability more effective coaching interface integrated uploading

Using SpiroSmart

SpiroSmart

SpiroSmart

within ~5-7% of a real spirometer

phone app doctor visit

appropriate for trending and screening

global health non-profit

global health non-profit

patient and doctors

global health non-profit

patient and doctors pharmaceutical drug trials

currently undergoing FDA 510k device approval

diagnostic deployment in India started in January

mhealth and newborns?

other applications in health?

neonatal jaundice in the US

kernicterus: 21

hazardous jaundice: 1158

extreme jaundice: 2,317

severe jaundice: 35,000

phototherapy: 290,000

visible jaundice: 3.5 million

births/year: 4.1 million

Method Accuracy Disadvantages

TSB Gold standard (r=1.0)

Painful, costly, inconvenient, delayed

TcBAccurate

(r= 0.75 -0.93) Meter = $7000

tips $5 unavailable in most

physician offices

Visual assessment (provider or parent)

not accurate (r= 0.36 - 0.7), underestimates

severity

No standardization lighting, pigmentation

bilirubin level in blood

jaundice levelblood draw

bilirubin level in blood

jaundice levelblood draw

yellowness camera

bilirubin level in blood

jaundice levelblood draw

yellowness camera processing

estimated

bilicam

bilicam

correlates with TSB at 0.84TcB correlates anywhere from 0.71 to 0.9

mobile apps are poised to take over the market

nokia x-challenge:grand prize: mobile device that monitors vitals signs can diagnose 10 of 15 diseases

the future of mHealth?

• new sensors will be integrated into phonesthe future of mHealth?

• new sensors will be integrated into phones• health sensing and mobile phone manufacturing

will become highly intertwined

the future of mHealth?

• new sensors will be integrated into phones• health sensing and mobile phone manufacturing

will become highly intertwined• FDA will have a big say in how quickly phones can

be built and pushed out, and what apps are “OK”

the future of mHealth?

• new sensors will be integrated into phones• health sensing and mobile phone manufacturing

will become highly intertwined• FDA will have a big say in how quickly phones can

be built and pushed out, and what apps are “OK”

the future of mHealth?

• new sensors will be integrated into phones• health sensing and mobile phone manufacturing

will become highly intertwined• FDA will have a big say in how quickly phones can

be built and pushed out, and what apps are “OK”

• FDA sanctioned validity study

the future of mHealth?

• new sensors will be integrated into phones• health sensing and mobile phone manufacturing

will become highly intertwined• FDA will have a big say in how quickly phones can

be built and pushed out, and what apps are “OK”

• FDA sanctioned validity study

• four melanoma apps

the future of mHealth?

• new sensors will be integrated into phones• health sensing and mobile phone manufacturing

will become highly intertwined• FDA will have a big say in how quickly phones can

be built and pushed out, and what apps are “OK”

• FDA sanctioned validity study

• four melanoma apps• 30% of cancerous moles

classified as benign

the future of mHealth?

what app makes a phone a medical device?

apps that transform a phone or connect to a medical sensor

what app makes a phone a medical device?

apps that transform a phone or connect to a medical sensorapps that control a device through a phone

what app makes a phone a medical device?

apps that transform a phone or connect to a medical sensorapps that control a device through a phoneapps that display, transfer, store, medical device data

what app makes a phone a medical device?

apps that transform a phone or connect to a medical sensorapps that control a device through a phoneapps that display, transfer, store, medical device dataapps that interact with electronic health records or simple health data

what app makes a phone a medical device?

apps that transform a phone or connect to a medical sensorapps that control a device through a phoneapps that display, transfer, store, medical device dataapps that interact with electronic health records or simple health data

yesyes

yesmayb

e

what app makes a phone a medical device?

apps that transform a phone or connect to a medical sensorapps that control a device through a phoneapps that display, transfer, store, medical device dataapps that interact with electronic health records or simple health data

yesyes

yesmayb

e

what app makes a phone a medical device?

psychiatry, medical dosing, symptom logs, general fitness apps…

apps that transform a phone or connect to a medical sensorapps that control a device through a phoneapps that display, transfer, store, medical device dataapps that interact with electronic health records or simple health data

yesyes

yesmayb

e

what app makes a phone a medical device?

psychiatry, medical dosing, symptom logs, general fitness apps… mayb

e

what app makes a phone a medical device?

we will see?

some approved apps

some approved apps

some approved apps

some approved apps

some approved apps

my take

eclarson.com eclarson@lyle.smu.edu @ec_larson> slide to unlock

Thank You!> slide to unlock

eric c. larson | eclarson.com

eclarson.com eclarson@lyle.smu.edu @ec_larson> slide to unlock

Assistant Professor Computer Science and Engineering

collaborators: !Joseph Camp Shwetak Patel Jim Stout, MD Jim Taylor, MD Margaret Rosenfeld, MD Gaetano Boriello Mayank Goel Lilian DeGreef

big data, small data:the future of sensing in

health and sustainability

Thank You!

eric c. larson | eclarson.com

eclarson.com eclarson@lyle.smu.edu @ec_larson

Assistant Professor Computer Science and Engineering

collaborators: !Joseph Camp Shwetak Patel Jim Stout, MD Jim Taylor, MD Margaret Rosenfeld, MD Gaetano Boriello Mayank Goel Lilian DeGreef

big data, small data:the future of sensing in

health and sustainability

Thank You!