ODAX EDA Research Sensor Board

ODAX EDA Research Sensor Board hero

Research-grade precision electrodermal activity EDA / galvanic skin response GSR analog output sensor board for high-impedance ADC and DAQ inputs.


Overview

The ODAX EDA Research Sensor Board is a compact research-grade analog front-end board for electrodermal activity EDA (aka. galvanic skin response GSR) measurement with two skin-contact electrodes.

It is built for researchers and developers who need a stable, low-noise analog EDA/GSR signal, a documented output model, and a straightforward VOUT interface for high-impedance ADC or DAQ inputs.

At the board level, it applies a nominal 0.5 V differential excitation, measures the resulting skin-current magnitude with a low-leakage transimpedance amplifier, subtracts the buffered reference, scales the result, low-pass filters the signal, and presents a buffered zero-based analog voltage at VOUT.

The board is intended for relative EDA and GSR response timing, event-locked waveform analysis, calibrated conductance estimation, psychophysiology experiments, HCI research, biofeedback research, and custom data acquisition systems. It is not a medical device and is not intended for diagnosis, monitoring, treatment, or safety-critical use.

Why Researchers Buy It

What You Can Build

Datasheet

Product Photos

ODAX EDA Research Sensor Board back view

Back view

ODAX EDA Research Sensor Board front view

Front view

Key Features

Built for Research Prototypes

The ODAX EDA Research Board is designed for teams that want a documented, calibration-aware analog path without designing the high-impedance front end from scratch.

For relative analysis, the voltage trace can be used directly for response timing, event-locked waveform shape, and within-session amplitude changes when the same board and ADC path are used. For calibrated conductance estimates or cross-device comparison, the datasheet documents the constants and conversion model that should be measured and recorded.

Applications

Technical Details

ParameterSymbolMinTypMaxNotes
Supply voltage, recommendedVIN3.0 V3.3 V5.0 VUse a clean battery-powered or isolated low-noise supply while electrodes contact skin
Preferred ADC supply alignment3.3 VPower from the same clean 3.3 V analog domain when practical
Reference voltageVREF0.700 VBuffered reference node
Excitation voltageVEXC0.200 VBuffered low-voltage excitation node
Excitation differencedV0.500 VNominal differential excitation
Useful signal bandwidthBWDC6.75 HzIntended for slow EDA and GSR dynamics
ADC input impedanceZADC100 kOhmHigherHigh-impedance ADC or DAQ input preferred
Output response directionPositiveHigher conductance produces higher VOUT

Output Scale

Skin resistanceConductanceNominal VOUTInterpretation
2 MOhm0.500 uS0.135 VVery dry / very low conductance
1 MOhm1.000 uS0.264 VDry / low conductance
600 kOhm1.667 uS0.430 VNominal expected baseline
220 kOhm4.545 uS1.058 VModerate conductance
100 kOhm10.00 uS1.964 VElevated conductance
70 kOhm14.29 uS2.500 VNear-full-scale design point

User Connections

ConnectionDirectionDescription
VINInputDC supply input. Recommended 3 V to 5 V from a clean battery-powered or isolated low-noise supply while electrodes contact skin
GNDReferenceCommon ground for the board and ADC or DAQ system
VOUTOutputGround-referenced analog EDA/GSR output. Connect to a high-impedance ADC or DAQ input

Mechanical

ParameterNominalUnitNotes
PCB length38.5mmWithout input jack
PCB width29mmNominal board dimension
Total length41mmWith input jack
User electrical interfaceVIN, GND, VOUTThree simple user connections
MPNODAX-EDA-RB1-100-ASM-R1Released R1 assembly

Getting Started

  1. Power the board from a clean battery-powered or properly isolated 3 V to 5 V system.
  2. Connect VOUT to a high-impedance ADC or DAQ input and share common GND.
  3. Attach two skin-contact electrodes or ODAX EDA contact straps to the electrode input.
  4. Place the contacts on adjacent fingers of the same hand.
  5. Allow the signal to settle before using the trace for baseline-sensitive analysis.

End-system performance depends on electrode condition, skin condition, contact pressure, motion, ADC scaling, ADC input impedance, firmware filtering, and calibration choices.