Abstract

This paper presents the design results of a 100-channel integrated circuit dedicated to various biomedical experiments requiring both electrical stimulation and recording ability. The main design motivation was to develop an architecture that would comprise not only the recording and stimulation, but would also block allowing to meet different experimental requirements. Therefore, both the controllability and programmability were prime concerns, as well as the main chip parameters uniformity. The recording stage allows one to set their parameters independently from channel to channel, i.e., the frequency bandwidth can be controlled in the (0.3 Hz–1 kHz)–(20 Hz–3 kHz) (slow signal path) or (0.3 Hz–1 kHz)–4.7 kHz (fast signal path) range, while the voltage gain can be set individually either to 43.5 dB or 52 dB. Importantly, thanks to in-pixel circuitry, main system parameters may be controlled individually allowing to mitigate the circuitry components spread, i.e., lower corner frequency can be tuned in the 54 dB range with approximately 5% precision, and the upper corner frequency spread is only 4.2%, while the voltage gain spread is only 0.62%. The current stimulator may also be controlled in the broad range (69 dB) with its current setting precision being no worse than 2.6%. The recording channels’ input-referred noise is equal to 8.5 µVRMS in the 10 Hz–4.7 kHz bandwidth. The single-pixel occupies 0.16 mm2 and consumes 12 µW (recording part) and 22 µW (stimulation blocks).

Highlights

  • Existing technologies allow building systems comprised of sensors combined with electronics that can be used for different kinds of application [1,2]

  • Conclusions ration, and programmability proves it may be highly efficient in a variety of biomedical In this paper, the design, measurement, experiment results of the componentsand spread influence is shown that allowschip one aredefine presented

  • The proposed architecture to limits in area minimization of suchcomposed systems. of both recording and stimulating functionalities supported by blocks for main parameters configuIt can be seen that, thanks to theresponsible different techniques employed incorrection, the presented deration, and programmability proves it may be highly efficient in a variety of biomedical sign, it was feasible to develop a chip that has both a large functionality

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Summary

Introduction

Existing technologies allow building systems comprised of sensors combined with electronics that can be used for different kinds of application (i.e., science, consumer market, military) [1,2] Whenever such systems need to be very small, have large functionality, low power consumption, battery-less supply, and architecture allowing for multisite signal processing (see Figure 1), modern technologies are the only way to satisfy these requirements. There is a need to perform, directly on-chip data processing as much as possible to as to decrease the amount of valuable data, i.e., signal detection and classification, its conversion and data compression, etc Having all of these in mind, one can see that neurobiologists expect highly functional systems comprising as many active sites as possible with large functionality, meaning that modern submicron or even nanometer technologies adaptation becomes one possible solution.

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