battery lifetime modeling for a 2 45ghz cochlear implant
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Battery lifetime modeling for a 2.45GHz cochlear implant application - PowerPoint PPT Presentation

Behavioral Modeling and System conference September 23-24, 2010 3.1 10:00 -10:30 AM Battery lifetime modeling for a 2.45GHz cochlear implant application Yannick Vaiarello Gilles Jacquemod William Tatinian LEAT / Neurelec LEAT UMR UNS


  1. Behavioral Modeling and System conference September 23-24, 2010 – 3.1 – 10:00 -10:30 AM Battery lifetime modeling for a 2.45GHz cochlear implant application Yannick Vaiarello Gilles Jacquemod William Tatinian LEAT / Neurelec LEAT UMR UNS CNRS 6071 LEAT UMR UNS CNRS 6071 (+33) 492 94 28 81 (+33) 492 38 85 00 (+33) 492 94 28 51 yvaiarello@neurelec.com gilles.jacquemod@unice.fr william.tatinian@unice.fr

  2. Outlines  Introduction  Communication for cochlear implant  Modeling  Heterogeneous Simulation Framework  Channel and Antenna Modeling and simulation  Transmitter Modeling  Implementation and Simulation Results  Conclusion 2 BMAS 2010 - Session 3.1 - Yannick VAIARELLO

  3. Introduction  Severe to Profound Deafness  Current cochlear implant: inductive system  Visible and unattractive 3 BMAS 2010 - Session 3.1 - Yannick VAIARELLO

  4. Behavioral Modeling and System conference September 23-24, 2010 – 3.1 – 10:00 -10:30 AM Communication for cochlear implant 4 BMAS 2010 - Session 3.1 - Yannick VAIARELLO

  5. Communication for cochlear implant Equivalent Channel 5 BMAS 2010 - Session 3.1 - Yannick VAIARELLO

  6. Communication for cochlear implant  Wire connection not allowed for biomedical application => RF system  Integration of the emitter within ear canal  Small Battery: low power  Miniature antenna  2.45 GHz: Good tradeoff between antenna efficiency and transmission losses 6 BMAS 2010 - Session 3.1 - Yannick VAIARELLO

  7. Behavioral Modeling and System conference September 23-24, 2010 – 3.1 – 10:00 -10:30 AM Modeling 7 BMAS 2010 - Session 3.1 - Yannick VAIARELLO

  8. Modeling  Schematic: power low noise amplifier amplifier audio signal Demod . Modulator (BB + RF)  Analog architecture fixed  LNA sensitivity  Transmission losses depend on patient anatomy  Variation of transmitted power  Critical points: PA and Propagation Channel 8 BMAS 2010 - Session 3.1 - Yannick VAIARELLO

  9. Modeling Heterogeneous Framework  Analog and RF simulation:  Electrical using SPICE simulator  Antennas and Channel :  Electromagnetic simulator : Ansoft HFSS  Battery Lifetime model on Simulink 9 BMAS 2010 - Session 3.1 - Yannick VAIARELLO

  10. Modeling Antenna and Channel Modeling  Electromagnetic Simulation of the propagation channel  Extraction of the equivalent circuit L r L e C e C r R loss-r R loss-e V receive =PL.V transmit R rad-r R rad-e V transmit 10 BMAS 2010 - Session 3.1 - Yannick VAIARELLO

  11. Modeling Simulation Issues  Electromagnetic simulation:  Using sophisticated head phantom: 1 week on a 2.8GHz Core2Duo 4GB RAM  Using equivalent medium phantom: 1 day on a 2.8GHz Core2Duo 4GB RAM  Analytical model: ε + ε + ε . t . t . t ε = skin skin fat fat cart cart + + eq t t t λ D skin fat cart = − m PL ( ). exp( ) π δ 4 D eq 11 BMAS 2010 - Session 3.1 - Yannick VAIARELLO

  12. Modeling Simulation Issues  Typical attenuation in transmission channel: 25 dB  LNA Sensitivity: - 55 dBm (internal design)  Losses due to antennas efficencies: - 15 dB  Typical Transmitted Power: -15 dBm  Channel Variation => Transmitted Power and Battery Lifetime Variations 12 BMAS 2010 - Session 3.1 - Yannick VAIARELLO

  13. Modeling Transmitter Modeling  PA Tuning: V dd modulator ref out matching gnd V dd (V) 500 Power consumption 1.05 1.15 1.25 1.35 1.45 400 300 Pout(dBm) -10 200 (µW) 100 -15 0 0 50 100 150 200 250 P out (µW) -20 13 BMAS 2010 - Session 3.1 - Yannick VAIARELLO

  14. Modeling Implementation  Battery Lifetime estimation:  Using Simulink ( also implementable in any simulator ) 14 BMAS 2010 - Session 3.1 - Yannick VAIARELLO

  15. Behavioral Modeling and System conference September 23-24, 2010 – 3.1 – 10:00 -10:30 AM Results 15 BMAS 2010 - Session 3.1 - Yannick VAIARELLO

  16. Results  Battery Lifetime estimation according to channel variations : T skin (mm) T cart (mm) T fat (mm) Loss (dB) Best 0.5 2 20 19.4 Typical 1 4 34 25.5 worst 2 6 50 30.4 Lifetime Pt (µW) P PA (µW) P tot (µW) (days) Best 10 96 396 12 Typical 30 139 439 11 Worst 100 250 550 9 16 BMAS 2010 - Session 3.1 - Yannick VAIARELLO

  17. Results  Battery Lifetime estimation according to other variations :  Typical => 3% efficiency ; adaptation @ -20 dB P PA Lifetime Pt (µW) P tot (µW) (µW) (days) Typical 30 139 439 11 Antenna adaptation @ - 10 dB 33 144 444 10.8 Antenna adaptation @ - 6 dB 36 148 448 10.7 Antenna Efficiency x2 15 115 415 11.5 17 BMAS 2010 - Session 3.1 - Yannick VAIARELLO

  18. Channel noise modeling and simulation  Worst Case  ASK modulation: P 1 /P 0 = 0 dBm /- 10 dBm  Noise Channel (WIFI interference ): 20 dBm @ 3m 18 BMAS 2010 - Session 3.1 - Yannick VAIARELLO

  19. Conclusion  Channel losses are very important on biomedical transmission  This model permit to:  Know the transmitted power necessary  Evaluate multiple modulation to find the better SNR  Optimise the bitrate with digital modulation 19 BMAS 2010 - Session 3.1 - Yannick VAIARELLO

  20. Behavioral Modeling and System conference September 23-24, 2010 – 3.1 – 10:00 -10:30 AM Thank you for your attention. Any Questions ? 20 BMAS 2010 - Session 3.1 - Yannick VAIARELLO

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