1. doc.: IEEE 802. 15-06-0217-00-0ban Submission Jacksonville, FL April 2006 Olivier Rousseaux, IMEC NLSlide 1 Project: IEEE P802.15 Working Group for Wireless Personal Area Networks (WPANs) Submission Title: BAN Usage Scenarios and Application Date Submitted: April, 2006 Source: Olivier Rousseaux, IMEC-NL Voice: +32 477 444 276, e-mail: olivier.rousseaux@imec-nl.nl Re: [This document is IMEC’s response to the Call For Application from the IEEE P802.15 Interest Group on BAN] Abstract: This document presents BAN-related application and scenarios together with their corresponding functional requirements. 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.

2. doc.: IEEE 802. 15-06-0217-00-0ban Submission Jacksonville, FL April 2006 Olivier Rousseaux, IMEC NLSlide 2 CFA Body Area Networks Olivier Rousseaux (olivier.rousseaux@imec-nl.nl),olivier.rousseaux@imec-nl.nl Bart Van Poucke, Bert Gyselinckx IMEC-NL, IMEC vzw

3. doc.: IEEE 802. 15-06-0217-00-0ban Submission Jacksonville, FL April 2006 Olivier Rousseaux, IMEC NLSlide 3 IMEC’s Human++ Vision

4. doc.: IEEE 802. 15-06-0217-00-0ban Submission Jacksonville, FL April 2006 Olivier Rousseaux, IMEC NLSlide 4 Case: Ambulatory EEG Monitoring 24 EEG electrodes Data acquisition box Personal health assistant Data receiver plugin Hospital: analysis

5. doc.: IEEE 802. 15-06-0217-00-0ban Submission Jacksonville, FL April 2006 Olivier Rousseaux, IMEC NLSlide 5 Application Scenarios Vital SignalApplication ExampleAverage Datarate (kbps) EEG Sleep Analysis, epilepsy research and monitoring, damaged brain tissues localization 10 - 100 ECG Remote patient monitoring, Sporadic Heart abnormalities identification 10 - 100 EMG Physiotherapy, fall risk, early Parkinson identification, child motor skills dvpt/recovery 10 - 100 EEG Similarity index Epileptic seizure warning. 0.5 Blood Pressure Patient monitoring and automatic emergency response, sport apps 0.01 – 0.1 O2 and CO2 levels Patient monitoring and automatic emergency response, respiratory illness ident. 0.01 – 0.1 Glucose Llevels Diabetic patient monitoring, Automatic Insulin delivery 0.01 – 0.1

6. doc.: IEEE 802. 15-06-0217-00-0ban Submission Jacksonville, FL April 2006 Olivier Rousseaux, IMEC NLSlide 6 Wireless autonomous microsystems as enabler for patient centric care Reduce power & size Increase functionality 2010 1 cm 3 100 W 2002 300 cm 3 140 mW

7. doc.: IEEE 802. 15-06-0217-00-0ban Submission Jacksonville, FL April 2006 Olivier Rousseaux, IMEC NLSlide 7 <10kb/s Technical Challenges DSP&storage Security MAC RF Non-E World SensorCE-ADCProcessorRadio 20W 40W 20W Avg. Power 80 Mops 2nJ/b Energy scavenger 100 W Avg power Power Mgr < 500mV CMOS Above IC MEMS, passives Grain size packaging Ambient

8. doc.: IEEE 802. 15-06-0217-00-0ban Submission Jacksonville, FL April 2006 Olivier Rousseaux, IMEC NLSlide 8 Time step 01 Time step 11 Time step 21 Time step 31 Time step 41 Time step 51 Time step 61 Time step 71 Time step 81 Time step 91 Time step 101 Time step 111 Time step 121 Time step 131 Time step 141 Time step 151 Time step 161 Time step 171 Time step 181 4cm 120cm Wireless BAN Channel Modeling and Simulation Clusters due to reflections from nearby scatterers Diffraction around body

9. doc.: IEEE 802. 15-06-0217-00-0ban Submission Jacksonville, FL April 2006 Olivier Rousseaux, IMEC NLSlide 9 Wireless BAN Channels Statistics Large path loss Variations depending on scenario (60dB) Large fading figures (30 dB)

10. doc.: IEEE 802. 15-06-0217-00-0ban Submission Jacksonville, FL April 2006 Olivier Rousseaux, IMEC NLSlide 10 BAN – Specific Standard (PHY – MAC - Networking) Specs Ultra Low Power : 20 µW average, ~1 nj/bit Variable Data Rate : 0.01 – 100 kbps / device Variable Channel Conditions : 40 – 100 dB path Loss Asymmetric Communication : Sensor to Center Node Integration Friendly : Small form factor, full CMOS solution Low cost Radio : 1$/device Dedicated MAC and Networking layers : Lightweight Differentiated network nodes Multi-hop schemes (cooperative relaying, repeaters in the network)