doc.: ieee 802.15- 15-08-0163-00-0006 submission 18 march, 2008 guido dolmans, imec-nlslide 1...

18 March, 2008

Guido Dolmans, IMEC-NLSlide 1

doc.: IEEE 802.15-15-08-0163-00-0006

Submission

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

Submission Title: [Applications, Channels, and Radio Architectures]Date Submitted: [18 March, 2008]Source: [Guido Dolmans] Company [Holst Centre / IMEC-NL]Address [High Tech Campus 31, Eindhoven, the Netherlands]Voice:[+31 40 2774094], FAX: [+44 40 2746400], E-Mail:[[email protected]]

Re: []

Abstract: [This presentation puts forward a list of applications, channel models, and radio architectures.]

Purpose: [For discussion by the group in order to provide applications scenarios, develop channel models and discuss radio architectures for IEEE P802.15.6.]

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.

18 March, 2008


doc.: IEEE 802.15-15-08-0163-00-0006

Submission

Presentation Outline

Applications

Channel Models

Radio Architectures

18 March, 2008


doc.: IEEE 802.15-15-08-0163-00-0006

Submission

Medical check-up Physical rehabilitation Physiological monitoring

BAN Applications

BAN Applications

HEALTHCARE

ASSISTED LIVING

Blind person Speech disability Artificial hands/legs

Wearable audio Video game controller Fitness monitoring

ENTERTAINMENT & SPORTS

18 March, 2008


doc.: IEEE 802.15-15-08-0163-00-0006

Submission

From Technology to Emerging Health Monitoring Concepts

• Wireless autonomous EEG monitoring• Wireless sleep staging• Wireless ECG patch

• Wireless Emotion Monitoring

18 March, 2008


doc.: IEEE 802.15-15-08-0163-00-0006

Submission

Wireless ambulatory EEG monitoring• ULP biopotential read-

out ASIC• 3D-SiP layer integration• 1cm3• Low power <10mW

2002 2006 2008

18 March, 2008


doc.: IEEE 802.15-15-08-0163-00-0006

Submission

Wireless EEG system powered by body heat

• 2 channel wireless EEG– 10m range– Consuming 0.8mW

• Thermo electric generator– 2mW– 0.03mW/cm2

Thermo-electric

generator

Powerconditioningelectronicsand energybuffering

EEGelectrodes

Ultra lowpower EEGamplifiers

Digitalsignal

processing& control

RadioTransceiver

(2.4 GHz)

Thermo-electric

generator

Powerconditioningelectronicsand energybuffering

EEGelectrodes

Ultra lowpower EEGamplifiers

Digitalsignal

processing& control

RadioTransceiver

(2.4 GHz)

Thermo-electricgenerator EEG

electrode

Electronicsunit

Stretchableheadband

Thermo-electricgenerator EEG

electrode

Electronicsunit

Stretchableheadband

18 March, 2008


doc.: IEEE 802.15-15-08-0163-00-0006

Submission

Wireless Sleep monitoring

• Sleep apnea prevalence – Europe: 4% male population, 2% female population– USA: 10% population

• Narcolepsy prevalence – 1 in 1359

• Dramatic socio-economic consequences

• Current sleep monitoring systems– Expensive, non-natural environment– Wired systems: cumbersome, noisy, hinder

mobility

• Wireless sleep staging system– Ambulatory and comfort– Pre-screening in home environment

18 March, 2008


doc.: IEEE 802.15-15-08-0163-00-0006

Submission

Wireless Body Area Network for sleep staging

• Enhanced patient comfort– No wires from head to body– Miniaturized and light-weight

• Noise reduction

• 20+ hours autonomy

18 March, 2008


doc.: IEEE 802.15-15-08-0163-00-0006

Submission

Preliminary clinical evaluation

18 March, 2008


doc.: IEEE 802.15-15-08-0163-00-0006

Submission

Wireless ECG patch• Hybrid integration

– Electronics integration on flex substrate

– Textile integration for stretchability

• Flexible core part

– ULP bio-potential read-out front end

– 175mAh Li-ion battery

• Band-aid integration

– Wire-free and easy to set-up

– Fits any body shapes and electrode placement

18 March, 2008


doc.: IEEE 802.15-15-08-0163-00-0006

Submission

Towards automated arrhythmia detection

99.5499.5410010099.9099.9099.90Se(% )

7.903.98-1.18-1.416.4510.8312.06Me (samples)

22.9719.4813.214.4413.9622.6132.33Sd (samples)

3542354236233623319431943194# annotations

TendTpeakQRSendQRSonPendPpeakPonParameters

99.5499.5410010099.9099.9099.90Se(% )

7.903.98-1.18-1.416.4510.8312.06Me (samples)

22.9719.4813.214.4413.9622.6132.33Sd (samples)

3542354236233623319431943194# annotations

TendTpeakQRSendQRSonPendPpeakPonParameters

18 March, 2008


doc.: IEEE 802.15-15-08-0163-00-0006

Submission

Monitoring emotions

Emotional response

ANS

Homeostasis…

CNS

Control behaviorInfo processing

…

Vocal system

Speech…

• Emotional response is one of many reasons for changes in ANS, CNS and vocal system– Need to isolate emotion

response– Need for integration of

multi-modalities

• Ultra-low-power wireless sensor nets as enabling technology

18 March, 2008


doc.: IEEE 802.15-15-08-0163-00-0006

Submission

Emotion monitoring: psycho-physiological response to external stimuli

18 March, 2008


doc.: IEEE 802.15-15-08-0163-00-0006

Submission

First prototype of emotion monitor

EmotionCla

ssifi

er

ECG

GSR

Temp

Respiration

MeanMean 1st diff

MeanMean 1st diff

Mean

MeanMean 1st diff

Emotion

HR + filter

analysis

Filter

Filter

RR + filter

FFT

Cla

ssifi

er

ECG

GSR

Temp

Respiration

MeanMean 1st diff

MeanMean 1st diff

Mean

MeanMean 1st diff

Emotion

HR + filter

analysis

Filter

Filter

RR + filter

FFT

18 March, 2008


doc.: IEEE 802.15-15-08-0163-00-0006

Submission

Application 1: monitoring psycho-physiological (emotional) acceptance of drug treatment

Hospital analysis

WB

AN

: U

LP U

WB

for

15.

14a

stan

dard

Net

wor

k (s

ecur

ity,

priv

acy,

rel

iabi

lity)

Continuous monitoring from home

18 March, 2008


doc.: IEEE 802.15-15-08-0163-00-0006

Submission

Application 2: Biofeedback and emotion controlECG, Respiration

Temperature, GSR

Back muscle stiffness

Emotionclassification

FeedbackVisualAuditivePharmaceutical

18 March, 2008


doc.: IEEE 802.15-15-08-0163-00-0006

Submission


Applications

Channel Models

Radio Architectures

18 March, 2008


doc.: IEEE 802.15-15-08-0163-00-0006

Submission

• Deployment of BAN devices can be indoor, outdoor, in home, hospital, small clinic, fitness center

• Wearable BAN: multipath including blocking sensitive to human movement (e.g. twisting, turning, sitting,

walking, running) • Implantable BAN:

Different path losses among organs and tissues

: on-body devices: in-body devices

Implant Wearable

PHY choice wearable BAN: narrowband or UWB ?

BAN Propagation Scenarios

18 March, 2008


doc.: IEEE 802.15-15-08-0163-00-0006

Submission

BAN Measurements

• Measurements on body (around and along the torso)

18 March, 2008


doc.: IEEE 802.15-15-08-0163-00-0006

Submission

Narrowband ISM Band Measurements

Measured pathloss around the body

18 March, 2008


doc.: IEEE 802.15-15-08-0163-00-0006

Submission

UWB BAN Measurements (1)

PdB = P0dB + 10n log(d=d0)

• Path Loss around and along the torso

Antennas are separated from the body by 5mm

18 March, 2008


doc.: IEEE 802.15-15-08-0163-00-0006

Submission

UWB BAN Measurements (2)

• Power fluctuations of body standing still and in a walking motion

18 March, 2008


doc.: IEEE 802.15-15-08-0163-00-0006

Submission

Path loss diffracted around the body is much higher than waves traveling along the front the body

Significant variations when arms are moved so that they shadow the LOS between the two antennas

Significant amount of energy due to reflections from objects in surrounding office environment after 30 cm TX-RX separation.

UWB BAN Measurements Conclusions

18 March, 2008


doc.: IEEE 802.15-15-08-0163-00-0006

Submission


Applications

Channel Models

Radio Architectures

18 March, 2008


doc.: IEEE 802.15-15-08-0163-00-0006

Submission

S10W

A10W

FrontEnd

20W DSP20W

Radio20W

Micropower System -100W

P20W

Technology

Thermal, Vibrational, RF, Light, Bio-chemical

NonElectrical

World

18 March, 2008


doc.: IEEE 802.15-15-08-0163-00-0006

Submission

Fundamental design guidelines (recapitulation)

• Miniaturized sensor nodes – small form factor• Limited range (0.01 to 2 meters, extendable to 5 meters)• Extremely low consumption power (0.1 to 1 mW)• Significant path loss• Energy scavenging / battery-less operation• Scalable data rate: 10 bps - 1 Mbps, extendable to 10 Mbps• Different classes of QoS for high reliability, asymmetric traffic• Energy efficient, low complexity MAC and upper layers• High security/privacy required for certain applications

18 March, 2008


doc.: IEEE 802.15-15-08-0163-00-0006

Submission

Network Characteristics• Traffic patterns and features:

Continuous periodic data e.g., low rate medical signals, or high rate audio streaming

Event-driven/burst data e.g., transmission requests, network commands, alarm signals

Upstream data from sensors to controller are dominant

Little redundancy in traffic, as limited space on body for redundant sensors

• Network topology Multihop optionally Reservation based MAC Star network Receiver diversity optionally

18 March, 2008


doc.: IEEE 802.15-15-08-0163-00-0006

Submission

Proposed Networks Receive diversity option

Relay channel option: data rate is very low (below 1Mbps)

ECC encoding

Wake up strategy

Smart wake up receiver

Routing algorithms

ULP radio

Subsampling / superregenerative receivers

Modulation scheme

BPSK

OOK

18 March, 2008


doc.: IEEE 802.15-15-08-0163-00-0006

Submission

Receiver Diversity Exploitation

Sensor node: extremely tight power budget

Shifting as much complexity as possible to the master device

Master device: slightly more relaxed power budget

Exploitation of receiver diversity to reduce transmission power

Spatial Diversity(multiple antennas)

Temporal Diversity(oversampling)

Networking Diversity(multiple routes)

Motivation

Possible Solutions

18 March, 2008


doc.: IEEE 802.15-15-08-0163-00-0006

Submission

Receiver Diversity Example

Sensor Node

Sensor Node

Master Device

Master device can jointly process data from different links.

Networking Diversity

Spatial Diversity

Temporal Diversity

doc.: ieee 802.15- 15-08-0163-00-0006 submission 18 march, 2008 guido dolmans, imec-nlslide 1...

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