In this paper we analyze a wireless biotelemetry link for an implanted UWB antenna located in the upper arm of a human. We use finite element analysis to characterize the specific absorption rate (SAR) of the surrounding tissue to determine the limits on transmitter power level for safe operation within the FCC restrictions on implanted electronics. We show the tradeoffs of safe transmit power levels verses bit error rate (BER), distance and data rate (R b ) for line of sight (LOS) and non-line of sight (NLOS) indoor propagation channels. A link budget is created to determine the received power levels for our FCC SAR compliant system as a function of distance, data rate and system bandwidth. Results demonstrate that for a BER of 1e-6 and data rate of 100 Mbps, the biotelemetry system can communicate using FSK modulation for distances up to 3.5 m and 0.7 m assuming worst case LOS and NLOS path loss environments, respectively. The system is analyzed using the maximum bandwidth (7.5 GHz) of the UWB spectrum and various FCC limited transmit power levels.I.
Abstract-Next generation neural recording and BrainMachine Interface (BMI) devices call for high density or distributed systems with more than 1000 recording sites. As the recording site density grows, the device generates data on the scale of several hundred megabits per second (Mbps). Transmitting such large amounts of data induces significant power consumption and heat dissipation for the implanted electronics. Facing these constraints, efficient on-chip compression techniques become essential to the reduction of implanted systems power consumption. This paper analyzes the communication channel constraints for high density neural recording devices. This paper then quantifies the improvement on communication channel using efficient on-chip compression methods. Finally, This paper describes a Compressed Sensing (CS) based system that can reduce the data rate by > 10× times while using power on the order of a few hundred nW per recording channel.
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