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doc.: IEEE 802.15-11-0564-00-0006 Submission July 2011 Darrell M. Wilson, MD (Stanford) Slide 1 Project: IEEE P802.15 Working Group for Wireless Personal Area Networks (WPANs) Submission Title: IEEE Body Area Network Diabetes - July 11 Date Submitted: July 21, 2011 Source: Darrell M. Wilson, MD Contact: Darrell M. Wilson, MD (Stanford) Voice: +1 650 704-2517, E-Mail: dped.stanford.edu Re: IEEE Body Area Network Diabetes - July 11 Abstract: IEEE Body Area Network Diabetes - July 11. Purpose: To summarize diabetes research Notice: This document has been prepared to assist the IEEE P802.15. It is offered as a basis for discussion and is not binding on the contributing individual(s) or organization(s). The material in this document is subject to change in form and content after further study. The contributor(s) reserve(s) the right to add, amend or withdraw material contained herein. Release: The contributor acknowledges and accepts that
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Doc.: IEEE 802.15-11-0564-00-0006 Submission July 2011 Darrell M. Wilson, MD (Stanford)Slide 1 Project: IEEE P802.15 Working Group for Wireless Personal.

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Page 1: Doc.: IEEE 802.15-11-0564-00-0006 Submission July 2011 Darrell M. Wilson, MD (Stanford)Slide 1 Project: IEEE P802.15 Working Group for Wireless Personal.

doc.: IEEE 802.15-11-0564-00-0006

Submission

July 2011

Darrell M. Wilson, MD (Stanford)

Slide 1

Project: IEEE P802.15 Working Group for Wireless Personal Area Networks (WPANs)

Submission Title: IEEE Body Area Network Diabetes - July 11Date Submitted: July 21, 2011Source: Darrell M. Wilson, MDContact: Darrell M. Wilson, MD (Stanford)Voice: +1 650 704-2517, E-Mail: dped.stanford.eduRe: IEEE Body Area Network Diabetes - July 11Abstract: IEEE Body Area Network Diabetes - July 11.Purpose: To summarize diabetes research

Notice: This document has been prepared to assist the IEEE P802.15. It is offered as a basis for discussion and is not binding on the contributing individual(s) or organization(s). The material in this document is subject to change in form and content after further study. The contributor(s) reserve(s) the right to add, amend or withdraw material contained herein.

Release: The contributor acknowledges and accepts that this contribution becomes the property of IEEE and may be made publicly available by P802.15.

Page 2: Doc.: IEEE 802.15-11-0564-00-0006 Submission July 2011 Darrell M. Wilson, MD (Stanford)Slide 1 Project: IEEE P802.15 Working Group for Wireless Personal.

doc.: IEEE 802.15-11-0564-00-0006

Submission

IEEE Body Area NetworkDiabetes - July 11

Darrell M. Wilson, MD

[email protected]

dped.stanford.edu

July 2011

Slide 2 Darrell M. Wilson, MD (Stanford)

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doc.: IEEE 802.15-11-0564-00-0006

Submission

Goals

• Review diabetes for a few minutes• Discuss current conventional treatment

approaches• Discuss cut-edge approaches include

closed loop systems and there problems

July 2011

Slide 3 Darrell M. Wilson, MD (Stanford)

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doc.: IEEE 802.15-11-0564-00-0006

Submission

Goals

• What “we” envision as  Body Area Network  upsides for diabetes

• What “we” envision as important features/functional aspects  to such a network

• Regulatory issues• Q and A

July 2011

Slide 4 Darrell M. Wilson, MD (Stanford)

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doc.: IEEE 802.15-11-0564-00-0006

Submission

Diabetes Mellitus Major Forms

• Insulin dependent• IDDM• Juvenile onset• Brittle

• Type 1

• Non-insulin dependent

• NIDDM• Adult onset

• Type 2

Atypical DiabetesMinor forms

July 2011

Slide 5 Darrell M. Wilson, MD (Stanford)

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doc.: IEEE 802.15-11-0564-00-0006

Submission

What’s New in Type 2?

• Epidemic of Type 2• “Atypical” diabetes

– Type 2 with an edge• sometimes presenting with DKA

• Related to obesity

July 2011

Slide 6 Darrell M. Wilson, MD (Stanford)

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doc.: IEEE 802.15-11-0564-00-0006

Submission

Obesity Trends* Among U.S. AdultsBRFSS, 2009

(*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person)

No Data <10% 10%–14% 15%–19% 20%–24% 25%–29% ≥30%

July 2011

Slide 7 Darrell M. Wilson, MD (Stanford)

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doc.: IEEE 802.15-11-0564-00-0006

Submission

Genetics Environmentaltriggers

Insulitis

Type 1 Diabetes

Diabetes Exposure

RenalComplications

EyeComplications

LargeVessels

July 2011

Slide 8 Darrell M. Wilson, MD (Stanford)

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doc.: IEEE 802.15-11-0564-00-0006

Submission

Time Course of Diabetes

Time .....0

20

40

60

80

100

Pe

rce

nt

DemandMassFunction

Trigger?

Insulinresistantperiods

ClinicalPresentation

Honeymoon

July 2011

Slide 9 Darrell M. Wilson, MD (Stanford)

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doc.: IEEE 802.15-11-0564-00-0006

Submission Travis, DM in Children, MPCP#29, 1987

Diab Care 29:1150, 2006

July 2011

Slide 10 Darrell M. Wilson, MD (Stanford)

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doc.: IEEE 802.15-11-0564-00-0006

Submission

Diabetes Impact

• Type 1 ~ 800,000 to 1,000,000– ~120,000 < 20 years of age

• Type 2 ~ 7 million– another ~ 7 million undiagnosed– Prevalence

• 1.3% 18-44 years of age• 6.2% 45-65 years of age• 10.4% 65-74 years of age

July 2011

Slide 11 Darrell M. Wilson, MD (Stanford)

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Submission

$92

$109

$138

$40$47

$54

$132

$156

$192

$0

$40

$80

$120

$160

$200

$240

Direct Indirect Total

2002

2010

2020

Diabetes Care 26:917-932, 2003

Costs Continue to Increase (U.S.)(in Billions of Dollars)

July 2011

12 Darrell M. Wilson, MD (Stanford)

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Submission

Mazze DTT 2008

Single Subject without DM

July 2011

Slide 13 Darrell M. Wilson, MD (Stanford)

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doc.: IEEE 802.15-11-0564-00-0006

Submission Mazze DTT 2008

Single Subject With DM

July 2011

Slide 14 Darrell M. Wilson, MD (Stanford)

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doc.: IEEE 802.15-11-0564-00-0006

Submission

Hemoglobin A1c

http://www.cem.msu.edu/~cem252/sp97/ch18/ch18s20.GIF

July 2011

Slide 15 Darrell M. Wilson, MD (Stanford)

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Submission

Hemoglobin A1c

http://home.comcast.net/~creationsunltd/images/comparebsandhga1c.gif

July 2011

Slide 16 Darrell M. Wilson, MD (Stanford)

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Submission

July 2011

Slide 17 Darrell M. Wilson, MD (Stanford)

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Submission

DCCT

DCCT NEJM, 329:977,1993

July 2011

Slide 18 Darrell M. Wilson, MD (Stanford)

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Submission

Glucose ControlGlycosylated Hemoglobin

DCCT NEJM, 329:977,1993

July 2011

Slide 19 Darrell M. Wilson, MD (Stanford)

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Submission

RetinopathyPrimary Prevention

DCCT NEJM, 329:977,1993

July 2011

Slide 20 Darrell M. Wilson, MD (Stanford)

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doc.: IEEE 802.15-11-0564-00-0006

Submission

DCCT Data

Glycosylated Hemoglobin (%)5.0 5.5 6.0 6.5 7.0 7.5 8.0 8.5 9.0 9.5 10.0 10.5

Pro

gre

ssio

n -

Ret

ino

pat

hy

(per

100

pt-

yr)

0

2

4

6

8

10

Sev

ere

Hyp

og

lyce

mia

(per

100

pt/

yr)

20

40

60

80

100

120

July 2011

Slide 21 Darrell M. Wilson, MD (Stanford)

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doc.: IEEE 802.15-11-0564-00-0006

Submission

Average Daily Risk Range

Glucose (mg/dL)

50 100 150 200 250 300 350 400

Rel

ativ

e R

isk

0

1

2

3

4

5

6

Kovatchev

July 2011

Slide 22 Darrell M. Wilson, MD (Stanford)

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Submission

Buckingham Diab Care 2008

July 2011

Slide 23 Darrell M. Wilson, MD (Stanford)

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doc.: IEEE 802.15-11-0564-00-0006

Submission

17 yo Female, A1c 6.2

Seizure

• 36,000 nights in JDRF RCT, 176 subjects• Hypoglycemia occurred 8.5% of nights

• (2 consecutive CGM readings < 60 mg/dl)• Mean duration 81 minutes

• For 23% duration was at least 2 hours• For 11% duration was at least 3 hours

Darrell M. Wilson, MD (Stanford)

July 2011

Slide 24

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doc.: IEEE 802.15-11-0564-00-0006

Submission

‘DEAD-IN-BED’ SYNDROMETanenberg, Endocr Pract 2009; 15:1-13

Darrell M. Wilson, MD (Stanford)

July 2011

Slide 25

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Submission

Dead in BedTattersall, Diabet Med 8:49, 1991

Thordarson, Diabet Med 12: 782, 1995Koltin, Ped Diabetes 9:504, 2008

Secrest, Diabet Med 28: 293, 2011

• Account for 3 – 6% of deaths in patients with diabetes < 40 years old

• Age range 7-43 years• Incidence ≈ 17-60/100,000 patient years

– About 35-130 deaths/year in US

Darrell M. Wilson, MD (Stanford)

July 2011

Slide 26

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Submission

23 Alarms

3 child awakenings – Orange 10 parent awakenings-Green

Children 4-17 years old awoke to 29% of all alarms

• Awoke to 40% of first alarms• Awoke to 28% of subsequent alarms

Response to Videotaped Nocturnal AlarmsBuckingham, DTT 7:440, 2005

Darrell M. Wilson, MD (Stanford)

July 2011

Slide 27

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Submission

Insulin Action Curves

Hours

0 5 10 15 20 25 30

Act

ion

0

20

40

60

80

100 LisproRegularNPH & LenteUltra

July 2011

Slide 28 Darrell M. Wilson, MD (Stanford)

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doc.: IEEE 802.15-11-0564-00-0006

Submission

Four Shots

Time

0 4 8 12 16 20 24

Act

ion

July 2011

Slide 29 Darrell M. Wilson, MD (Stanford)

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doc.: IEEE 802.15-11-0564-00-0006

Submission

Pumps

• What do they do?• Basal(s) rates• Meal boluses• Correction bolus• What don't they do?• Still open loop• Require a great deal of attention to detail

July 2011

Slide 30 Darrell M. Wilson, MD (Stanford)

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Submission

Pumps

July 2011

Slide 31 Darrell M. Wilson, MD (Stanford)

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Submission

Pump Example

Time

0 4 8 12 16 20 24

Act

ion

July 2011

Slide 32 Darrell M. Wilson, MD (Stanford)

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doc.: IEEE 802.15-11-0564-00-0006

Submission

How to Select the Correct Amount of Insulin

• Good carbohydrate counting– Frequently in error

• Using pumps– Use the calculators/wizards

• Using injections– Use a discrete plan

• Adjusting for exercise• Bedtime snacks

July 2011

Slide 33 Darrell M. Wilson, MD (Stanford)

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Submission

Insulin Variability

Heinemann DTT 4:673, 2002

July 2011

Slide 34 Darrell M. Wilson, MD (Stanford)

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doc.: IEEE 802.15-11-0564-00-0006

Submission

Maximizing Bolus DeliveryGetting the Bolus

• The price of a missed bolus is high

Burdick Peds 113:211e, 2004

July 2011

Slide 35 Darrell M. Wilson, MD (Stanford)

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doc.: IEEE 802.15-11-0564-00-0006

Submission

Kinetics vs Dynamics

Approximate Time (min)

0 100 200 300 400

Per

cen

t

0

20

40

60

80

100pharmacokineticspharmacodynamics

July 2011

Slide 36 Darrell M. Wilson, MD (Stanford)

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doc.: IEEE 802.15-11-0564-00-0006

Submission

Sensor LagSensor Lag

Time (minutes) (0 = start if meal)

-40 -20 0 20 40 60 80 100 120 140

Blo

od

Glu

cose

(m

g/d

l)

0

100

200

300

400

500

Freestyle Sensor

July 2011

Slide 37 Darrell M. Wilson, MD (Stanford)

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doc.: IEEE 802.15-11-0564-00-0006

Submission

Feature SummaryParadigm

722DexCom7-plus Navigator

Rate of change arrows

Yes Yes Yes

Projected low alarm

No No Yes

Days of wear 5 7 5

Ability to download Yes Yes Yes

Ability to integrate with pump

Yes (MiniMed)

Yes(Animas)

Pending (Cozmo)

July 2011

Slide 38 Darrell M. Wilson, MD (Stanford)

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doc.: IEEE 802.15-11-0564-00-0006

Submission

FreeStyle Navigator™ Continuous Glucose Monitor

Receiver

Transmitter

Sensor/Sensor Mount

July 2011

Slide 39 Darrell M. Wilson, MD (Stanford)

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doc.: IEEE 802.15-11-0564-00-0006

Submission

FreeStyle Navigator™ System

Intended Features– Home continuous monitoring system. – 3-day sensor continuously measures

glucose– Transmitter sends updated glucose reading

every minute– Alarms for hi/lo glucose– Alarms for projected hi/lo glucose– On-board trend and statistical reporting– Event entry (food, insulin, meds, exercise,

etc)– 60-day memory & upload to computer– Traditional glucose meter built in

• System calibration• Backup glucose meter

July 2011

40 Darrell M. Wilson, MD (Stanford)

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doc.: IEEE 802.15-11-0564-00-0006

Submission

Pilot Study to Evaluate the Navigator in Children with T1D

• 30 children with T1D• HA1c 7.1 ± 0.6%• Smart pumps• Ask to wear sensor

daily• Algorithm based

adjustments of insulin infusion rates

July 2011

41 Darrell M. Wilson, MD (Stanford)

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Submission

>2 (mg/dL)/min

< -2 (mg/dL)/min

-1 to -2 (mg/dL)/min

1 to 2 (mg/dL)/min

-1 to 1 (mg/dL)/min

Trend ArrowsNavigator MiniMed

Updated every minute Updated every 5 minutes

July 2011

42 Darrell M. Wilson, MD (Stanford)

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Submission

http://www.childrenwithdiabetes.com/continuous.htm

MiniMed Paradigm REAL-Time withnew, smaller MiniLinkTM Transmitter

July 2011

Slide 43 Darrell M. Wilson, MD (Stanford)

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Submission

http://www.dexcom.com/products

July 2011

Slide 44 Darrell M. Wilson, MD (Stanford)

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doc.: IEEE 802.15-11-0564-00-0006

Submission

MiniMed Paradigm REAL-Time Insulin Pump and Continuous Glucose Monitoring System

July 2011

Slide 45 Darrell M. Wilson, MD (Stanford)

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doc.: IEEE 802.15-11-0564-00-0006

Submission

ResultsC

ha

ng

e i

n g

lyc

ate

d h

em

og

lob

in

July 2011

Slide 46

Darrell M. Wilson, MD (Stanford)

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Submission

Sensors are a behavior modification tool!

July 2011

Slide 47 Darrell M. Wilson, MD (Stanford)

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Submission

July 2011

Slide 48 Darrell M. Wilson, MD (Stanford)

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Submission

Artificial Pancreas (b-cell) • Artificial Pancreas Software (APS) Features:

– Communication with sensors & pumps– Modularity, Plug-and-Play (PnP) – Human Machine Interfaces (HMIs)– Physician control– Data storage– Audio & Visual alarms– Standalone application– Data recording

– Safety and redundancy

Controller

Insulin PumpHMI

APS HMI

Sensor HMI

APS

Database

Startup Interface

July 2011

Slide 49 Darrell M. Wilson, MD (Stanford)

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Submission Darrell M. Wilson, MD (Stanford)

Proportional-Integral-Derivative (PID) Control

dt

tdedttetekutu

tytrte

D

t

Ic

00

1

Manipulated

Input (insulin)

Error = setpoint – measured output

= desired glucose – measured glucose

Proportional

gainIntegral time Derivative time

• Integral “windup” can lead to postprandial hypoglycemia

• Many possible tuning procedures

July 2011

Slide 50

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Submission Darrell M. Wilson, MD (Stanford)

Internal Model Control (IMC)

Controller(approximate“model inverse”)

sensor pump subject

glucose setpoint

Insulin-

Glucose

Model

Sensor

Model

~ymodel-predictedoutput

measured output (glucose)

y

+_

manipulated input(insulin infusion)

u

r

Estimates of other variables (possible)

model-reality mismatch

July 2011

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Submission

Closed-loop vs. hybrid control

6 12 18 24 30 36 420

100

200

300

400Closed Loop (N=5)

meals

setpoint

Hybrid Closed Loop (N=5)

Glu

cose

(m

g/d

l)

Mean Nocturnal Peak PP

Full CL 156 (149-163) 109 (87-131) 232 (208-256)

Hybrid 135 (129-141) 114 (98-131) 191 (168-215)

July 2011

Slide 52 Darrell M. Wilson, MD (Stanford)

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doc.: IEEE 802.15-11-0564-00-0006

Submission

Steps to Artificial Pancreas• Passive – Warning only

– High and Low alerts– Predictive high and low alerts

• Minimally Active – Emergency action– Temporarily stop insulin for low glucose

• Fail safe

• Active– Urgent action, Treat to range– Full control

July 2011

Slide 53 Darrell M. Wilson, MD (Stanford)

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Submission

Preventing Nocturnal Hypoglycemia with a Partial

Closed Loop SystemStanford: B. Buckingham, Darrell Wilson, Fraser

Cameron, P. Clinton, Kimberly Caswell

Barbara Davis Center: H. Peter Chase, Erin Cobry, Victoria Gage

UCSB: Frank Doyle, Eyal Dassau

Rensselaer Polytechnic Institute: Wayne Bequette, Hyunjin Lee

Acknowledgments:Juvenile Diabetes Research Foundation (JDRF) grants# 22-2006-1107 and 22-2007-479

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Submission

Algorithm Prediction of Hypoglycemia

55

10 11 12 1340

60

80

100

120

140

160

Time (24 hour)

Mea

sure

men

t (m

g/dL

)

Example 1 Blood Glucose with Hypoalarm for Alarm Threshold = 70 and Prediction Horizon = 55

Calibrated SensorFreeStyle MeasurementsKF AlarmSP AlarmHIIR AlarmNLA AlarmLinear Prediction Alarm

(5/5) ~35 min, ~100 mg/dL

(3/5) ~45 min, ~108 mg/dL

(2/5) ~50 min, ~115 mg/dL

Buckingham

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Submission

Regulatory item 1

• FDA and LGS – Veo– Many countries, not the US

July 2011

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Submission

What we would like to see in a Body Area Network

• A stable, company neutral system to reliably exchange data among diabetes related devices– Glucose meters– Glucose sensors– Insulin infusion devices – Control algorithm devices (if not

embedded)

July 2011

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Submission

What we would like to see in a Body Area Network

• A stable, company neutral system to reliably exchange data among diabetes related devices– External alarms– Activity monitors– GPS– Phone– External communication devices– Ear buds?

July 2011

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Submission

The All-In-One Device

Buckingham

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Submission

What we would like to see in a Body Area Network

• Transmission of data that will control an active device

• Note the difference – NOT just a sensor network– Insulin infusion devices– Insulin infusion algorithm

• NOW we are infusing insulin, a potential lethal medicine

July 2011

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Submission

What we would like to see in a Body Area Network

• High security• High specificity

July 2011

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Submission

What we would like to see in a Body Area Network

• Bidirectional communications between devices with confirmation and error checking

• Reasonable transmission range– thru the body at least

• Monitoring of BAN status• Fails safely with clear warnings• Management/limit of interacting of devices

July 2011

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Submission

What we would like to see in a Body Area Network

• Easily interrogated (downloadable)– Cell phone, internet

July 2011

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Submission

What we would like to see in a Body Area Network

• Privacy and safety • Privacy vs safety• Systematic “attacks” vs “HCP” control• Personal “attacks” vs Personal control

http://www.nicolejohnson.com/website/images/baby2.jpg

1999

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Submission

FDA Disclosures• I’m an academic involved in clinical

research that can intersect with the FDA– IDE – investigational device exemptions

• A discussion all in itself

• I don’t work for the FDA– Other side

• I don’t work for a device/software company whose products require FDA approval

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Submission

Assumptions

• As I understand it, you are developing a communication standard

• Those that will use this standard will, for significant medical uses, need FDA approval

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Submission

Regulatory• FDA approval

– Medical Device Definition• Medical devices range from simple tongue depressors and

bedpans to complex programmable pacemakers with micro-chip technology and laser surgical devices.

– "an instrument, apparatus, implement, machine, contrivance, implant, in vitro reagent, or other similar or related article, including a component part, or accessory which is:

http://www.fda.gov/medicaldevices/deviceregulationandguidance/overview/classifyyourdevice/ucm051512.htmp

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Submission

Regulatory– …..– intended for use in the diagnosis of disease or

other conditions, or in the cure, mitigation, treatment, or prevention of disease, in man or other animals, or

– intended to affect the structure or any function of the body of man … and which does not achieve any of it's primary intended purposes through chemical action ….[not just a drug - different dept]

http://www.fda.gov/medicaldevices/deviceregulationandguidance/overview/classifyyourdevice/ucm051512.htmp

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Submission

Regulatory

• Recent good news Feb. 14, 2011• FDA finalizes regulation for certain software,

hardware used with medical devices• Rule provides more predictable path to market• The rule classifies these products, known as Medical

Device Data Systems or MDDS, as Class I or low-risk devices, making them exempt from premarket review but still subject to quality standards

http://www.fda.gov/NewsEvents/Newsroom/PressAnnouncements/ucm243283.htm

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Submission

Regulatory

• Medical Device Data Systems are off-the-shelf or custom hardware or software products used alone or in combination that display unaltered medical device data, or transfer, store or convert medical device data for future use, in accordance with a preset specification.

• Examples of MDDS products include: devices that collect and store data from a blood pressure cuff for future use or that transfer thermometer readings to be displayed at a nursing station for future use.

http://www.fda.gov/NewsEvents/Newsroom/PressAnnouncements/ucm243283.htm

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Submission

Regulatory

• Premarket approval (PMA) is the FDA process of scientific and regulatory review to evaluate the safety and effectiveness of Class III medical devices.

• Class III devices are those that support or sustain human life, are of substantial importance in preventing impairment of human health, or which present a potential, unreasonable risk of illness or injury.

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Submission

Guidances

• “Guidance for Industry, FDA Reviewers and Compliance on Off-The-Shelf Software Use in Medical Devices”– http://

www.fda.gov/downloads/MedicalDevices/DeviceRegulationandGuidance/GuidanceDocuments/ucm073779.pdf (issued 9/9/1999)

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Submission

Guidances

• “General Principles of Software Validation; Final Guidance for Industry and FDA Staff” (issued 1/11/2002) – http://www.fda.gov/downloads/

MedicalDevices/DeviceRegulationandGuidance/GuidanceDocuments/UCM085371.pdf

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Submission

Guidances

• “Guidance for Industry. Cybersecurity for Networked Medical Devices Containing Off-The-Shelf (OTS) Software”. (issued 1/14/05)– http://www.fda.gov/downloads/

MedicalDevices/DeviceRegulationandGuidance/GuidanceDocuments/ucm077823.pdf

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Submission

More

• IEC 62304:2006 (Medical device software – Software life-cycle processes)

• ISO 14971:2000 (Medical devices - Application of risk management to medical devices).

July 2011

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Submission

EMC and Wireless Technology

• Many CGM devices use wireless technology to upload the sensor signal to the receiver. The following information should be included in your submission:

• Then many pages…

July 2011

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Submission

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Slide 78

A. Electromagnetic Compatibility (EMC). Explain what was tested and why, the modes and functions tested and why, the configurations used for such testing and why, and the pass/fail criteria for these functions or modes. This should include a brief summary of all device functional modes, how EMC has been addressed for each mode, and a brief description of the test protocol and results. This information should address the following points.

i. A clear summary of all EMC testing (emissions and immunity) of this device with the test results and data to support their claims for immunity to electromagnetic interference (EMI).

ii. A brief explanation of how each EMC test was performed and how the testing for each mode addresses the risks for EMI and demonstrates EMC to the claimed levels. This should include a brief explanation of how the testing addresses connections to the patient, alarms, and the time for the device to perform its function.

iii. References to appropriate EMC testing standards such as the IEC 60601-1-2 standard. If there were any deviations from the referenced standards or modifications to the device under test these must be explained and justified.

iv. The pass/fail criteria for each of the EMC tests, how these were quantified and measured, and justifications for these criteria.

v. If there were any modifications to the device in order to pass any of the EMC tests then the sponsor should provide brief summary explanations of the modification and a clear statement that all modifications will be incorporated into all production units.

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Submission

July 2011

Darrell M. Wilson, MD (Stanford)

Slide 79

B. Device EMC labeling. The EMC related labeling recommended in the FDA recognized IEC 60601-1-2 standard should be part of the device labeling. In addition, the labeling should be clear about risks for patients and to other devices and what can be done if electromagnetic interference affects are encountered. Additionally, if the device system contains or is linked via any wireless technology connections to other devices or systems, then the following points should also be addressed.

C. Device description regarding wireless technology: Provide a description of all RF wireless technology used in the device system including specifications for the operating frequencies, operating distances and ranges, and device system wireless functions and capabilities. The labeling for each device system component incorporating wireless technology should contain a summary of this information as well.

D. Address safety and effectiveness concerns involving the wireless technology, which are largely outside the scope of the IEC 60601-1-2 standard for EMC. This includes the following areas with testing and information that describes: the device wireless specifications and characteristics, the device functions and associated risks, testing results, and acceptable tolerances for: data integrity (ensuring proper wireless function), data latency (ensuring functions occur in a timely fashion), coexistence with other RF wireless (see point 3 for details), EMC of the wireless signals, and data security. A brief summary of the testing and results should include the following points:

i. Provide detailed information on the RF wireless technology implemented on the device, including: transfer power, RF frequency (and scheme), modulation, data rate, data flow, protocol, security. The information should indicate whether other devices (medical or non-medical) can operate on the same network.

ii. Summary of claims for the device wireless function and performance, including safeguards and redundancy. The claims should be related to the risks for the device functions and their failure.

iii. A summary of all wireless data integrity, coexistence, EMC, and security testing of this device, with justifications for what was done, test results and data to support all claims, and the pass/fail criteria.

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Submission

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Slide 80 Darrell M. Wilson, MD (Stanford)

E. Wireless coexistence. Wireless coexistence is the ability of one system to perform a task in a given shared environment where other systems have an ability to perform their tasks and may or may not be using the same set of rules. To address this concern the sponsor should speak to the likelihood of other wireless devices operating in the same vicinity as the device and perform reasonable testing with such devices. In addition, if the sponsor foresees multiple devices to be operated in the same vicinity then multiple devices should also be included in this testing. A brief summary of the wireless coexistence testing should include the following points.

i. Describe all devices or equipment to be included in the coexistence test plan and justify their choice and how they represent a worst case scenario. Include all pertinent information such as transfer power, frequency (and scheme), modulation, data rate, data flow, protocol, and security for all the interfering devices.ii. Provide the pass/fail criteria for the device and the interfering devices with justifications on how these criteria were chosen and how they will be quantified and measured. Important parameters to keep in mind while testing are data integrity and latency.

ii. Explain how the wireless coexistence testing was performed and how the testing addresses the potential risks from other wireless devices. Important parameters include separation distances, number of interferers, test configuration and location, and orientation.

F. Wireless labeling. Labeling for medical devices and systems incorporating wireless technology should include a description of the wireless technology and information about how the system should be configured and operated with details such as the needed quality of service, security requirements, and how to deal with risks and problems that may arise. This information should be added to the labeling for the device system.

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Submission

EMC and Wireless Technology

• So how will FDA look at an “open” network?

• How will device companies form their applications to the FDA?

• Will there need to be procedures– Restricting interactions between some

devices?– Sort of a VPNish system?

July 2011

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Submission

http://www.fda.gov/MedicalDevices/ProductsandMedicalProcedures/GeneralHospitalDevicesandSupplies/InfusionPumps/ucm202511.htm

July 2011

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Submission

dped.stanford.edu

July 2011

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Submission

dped.stanford.edu

July 2011

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Submission

What we would like to see in a Body Area Network

• And of course– Adopted by all– Cheap– Low energy requiring– Long lasting– Green– Easy to use while safe and secure

July 2011

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Submission

July 2011

Darrell M. Wilson, MD (Stanford)

Slide 86

Thanks!