Journal of Low Power Electronics and Applications (May 2024)

A Microdevice in a Submicron CMOS for Closed-Loop Deep-Brain Stimulation (CLDBS)

  • Tiago Matheus Nordi,
  • Rodrigo Gounella,
  • Marcio L. M. Amorim,
  • Maximiliam Luppe,
  • João Navarro Soares Junior,
  • Joao L. Afonso,
  • Vitor Monteiro,
  • Jose A. Afonso,
  • Erich Talamoni Fonoff,
  • Eduardo Colombari,
  • João Paulo Carmo

DOI
https://doi.org/10.3390/jlpea14020028
Journal volume & issue
Vol. 14, no. 2
p. 28

Abstract

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Deep-brain stimulation (DBS) is a highly effective and safe medical treatment that improves the lives of patients with a wide range of neurological and psychiatric diseases. It has been established as a first-line tool in the treatment of these conditions for the past two decades. Closed-loop deep-brain stimulation (CLDBS) advances this tool further by automatically adjusting the stimulation parameters in real time based on the brain’s response. In this context, this paper presents a low-noise amplifier (LNA) and a neurostimulator circuit fabricated using the low-power/low-voltage 65 nm CMOS process from TSMC. The circuits are specifically designed for implantable applications. To achieve the best tradeoff between input-referred noise and power consumption, metaheuristic algorithms were employed to determine and optimize the dimensions of the LNA devices during the design phase. Measurement results showed that the LNA had a gain of 41.2 dB; a 3 dB bandwidth spanning over three decades, from 1.5 Hz to 11.5 kHz; a power consumption of 5.9 µW; and an input-referred noise of 3.45 µVRMS, from 200 Hz to 11.5 kHz. The neurostimulator circuit is a programmable Howland current pump. Measurements have shown its capability to generate currents with arbitrary shapes and ranging from −325 µA to +318 µA. Simulations indicated a quiescent power consumption of 0.13 µW, with zero neurostimulation current. Both the LNA and the neurostimulator circuits are supplied with a 1.2 V voltage and occupy a microdevice area of 145 µm × 311 µm and 88 µm × 89 µm, respectively, making them suitable for implantation in applications involving closed-loop deep-brain stimulation.

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