Battery lifetime modeling for a 2.45GHz cochlear implant application
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1 Behavioral Modeling and System conference September 23-24, :00-10:30 AM Battery lifetime modeling for a 2.45GHz cochlear implant application William Tatinian LEAT UMR UNS CNRS 6071 (+33) william.tatinian@unice.fr Yannick Vaiarello LEAT / Neurelec (+33) yvaiarello@neurelec.com Gilles Jacquemod LEAT UMR UNS CNRS 6071 (+33) gilles.jacquemod@unice.fr
2 Introduction Outlines Communication for cochlear implant Modeling Heterogeneous Simulation Framework Channel and Antenna Modeling and simulation Transmitter Modeling Implementation and Simulation Results Conclusion 2
3 Introduction Severe to Profound Deafness Current cochlear implant: inductive system Visible and unattractive 3
4 Behavioral Modeling and System conference September 23-24, :00-10:30 AM Communication for cochlear implant 4
5 Communication for cochlear implant Equivalent Channel 5
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
7 Behavioral Modeling and System conference September 23-24, :00-10:30 AM Modeling 7
8 Schematic: Modeling audio signal power amplifier low noise amplifier Modulator (BB + RF) Demod. Analog architecture fixed LNA sensitivity Transmission losses depend on patient anatomy Variation of transmitted power Critical points: PA and Propagation Channel 8
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
10 Modeling Antenna and Channel Modeling Electromagnetic Simulation of the propagation channel Extraction of the equivalent circuit L e C e L r C r R loss-e R loss-r V receive=pl.v transmit R rad-e V transmit R rad-r 10
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 eq = ε skin. t + ε. t + ε skin t skin fat + t fat fat + t cart cart. t cart PL λm D = ( ).exp( 4πD δ eq ) 11
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
13 Modeling Transmitter Modeling PA Tuning: V dd ref modulator matching out gnd Pout(dBm) V dd (V) Power consumption (µw) P out (µw) 13
14 Modeling Implementation Battery Lifetime estimation: Using Simulink (also implementable in any simulator) 14
15 Behavioral Modeling and System conference September 23-24, :00-10:30 AM Results 15
16 Results Battery Lifetime estimation according to channel variations : T skin (mm) T cart (mm) T fat (mm) Loss (db) Best Typical worst Pt (µw) P PA (µw) P tot (µw) Lifetime (days) Best Typical Worst
17 Results Battery Lifetime estimation according to other variations : Typical => 3% efficiency ; -20 db Pt (µw) P PA (µw) P tot (µw) Lifetime (days) Typical Antenna - 10 db Antenna - 6 db Antenna Efficiency x
18 Channel noise modeling and Worst Case simulation ASK modulation: P1/P0 = 0 dbm /- 10 dbm Noise Channel (WIFI interference ): 20 3m 18
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
20 Behavioral Modeling and System conference September 23-24, :00-10:30 AM Thank you for your attention. Any Questions? 20
Battery lifetime modelling for a 2.45GHz cochlear implant application
Battery lifetime modelling for a 2.45GHz cochlear implant application William Tatinian LEAT UMR UNS CNRS 6071 250 Avenue A. Enstein 06560 Valbonne, France (+33) 492 94 28 51 william.tatinian@unice.fr Yannick
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