MLZ2012A3R3W datasheet(5/68 Pages) TI1

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Overview

2.1

Introduction

The ADS1299EEG-FE is intended for evaluating the ADS1299 low-power, low noise 24-bit, simultaneously

sampling, eight-channel front-end for EEG applications. The digital SPI™ control interface is provided by

the MMB0 Modular EVM motherboard (Rev. D or higher) that connects to the ADS1299EEG FE

evaluation board (Rev A). The ADS1299EEG-FE (see Figure 1) is NOT a reference design for EEG

applications; rather, its purpose is to expedite evaluation and system development. The output of the

ADS1299 yields a raw, unfiltered EEG signal.

The MMB0 motherboard allows the ADS1299EEG-FE to be connected to the computer via an available

USB port. This manual shows how to use the MMB0 as part of the ADS1299EEG-FE, but does not

provide technical details about the MMB0 itself.

Throughout this document, the abbreviation EVM and the term evaluation module are synonymous with

the ADS1299EEG-FE.

2.2

Supported Features

Hardware Features:

•

Configurable for bipolar or unipolar supply operation

•

Configurable for internal and external clock and reference via jumper settings

•

Configurable for dc-coupled inputs

•

External bias electrode drive

•

Option to provide a common reference to all channels negative terminals.

•

Option to select any electrode as reference electrode

•

Option to choose any electrode as bias electrode

•

External shield drive amplifier

Software Features:

•

Analysis tools including a virtual oscilloscope, histogram, FFT.

•

Data export for post-processing of raw EEG data

2.3

Features Not Supported in Current Version

NOTE:

The following features are NOT SUPPORTED by the current version of the evaluation kit.

•

Real-time data processing

•

AC lead-off detection filters

2.4

ADS1299EEG-FE Hardware

Figure 1 shows the hardware included in the ADS1299EEG-FE kit. Contact the factory if any component is

missing. Also, it is highly recommended that you check the TI website at http://www.ti.com to verify that

you have the latest software.

SLAU443 – May 2012

EEG Front-End Performance Demonstration Kit

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