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24 Channel dual-band wireless neural recorder with activity-dependent power consumption

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Abstract

A complete light weight 24 channel wireless neural recording system enabled by a custom IC is presented. By transmitting only the action potential (AP) data, the system power consumption is scaled based on the activity of the neural signal. By detecting an AP event prior to digitization, the ASIC can reduce the power consumed in all subsequent stages and yet conserves the entire AP shape without affecting the classification performance. The complete 2.5 cm3 head stage weighing below 7 g can operate for 3 h. The ASIC achieves <3.5 µVrms noise (both in AP and LFP band) and >70 dB CMRR.

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Acknowledgment

This work was made possible by the STW 07613 grant from the University of Amsterdam. The authors would like to thank Dr. Francesco Battaglia for his inputs in defining the specifications.

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Authors and Affiliations

  1. Kapeldreef 75, Leuevn, Belgium

    Srinjoy Mitra, Jan Putzeys, Carolina Mora Lopez & Refet Firat Yazicioglu

  2. University of Amsterdam, Amsterdam, The Netherlands

    C. M. A Pennartz

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  1. Srinjoy Mitra
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  2. Jan Putzeys
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  3. Carolina Mora Lopez
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  4. C. M. A Pennartz
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  5. Refet Firat Yazicioglu
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Correspondence to Srinjoy Mitra.

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Mitra, S., Putzeys, J., Lopez, C.M. et al. 24 Channel dual-band wireless neural recorder with activity-dependent power consumption. Analog Integr Circ Sig Process 83, 317–329 (2015). https://doi.org/10.1007/s10470-015-0532-0

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  • DOI: https://doi.org/10.1007/s10470-015-0532-0

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