NeuroPort

The NeuroPort™ Neural Signal Processor is a highly-configurable, easy to use, multichannel data acquisition system. It gives researchers the power and flexibility to implement real-time control strategies for restoring function. The NeuroPort has become the industry standard for brain-computer interface recording and stimulation in humans since 2004.

NeuroPort

Features

The Neuroport Data System at a Glance

FDA Cleared

Real-Time Deterministic Closed Loop

Published in more than 1000 peer-reviewed articles

Record Up to 512 Channels

High Sampling Rate

16-bit ADC, 30 kS/s

Ready for Human Use

FDA Cleared &amp: The NeuroPort ™ Biopotential Signal Processing System has clearance, registration, or distribution in the U.S., EU, Canada, Australia, China, South Korea, and Israel.

Looking for Clinical Software?
Please fill out our Clinical Software Request form for access to our clinical software downloads.

Integrate with Clinical and Research Systems

The NeuroPort Data Acquisition System supports recording, processing, and displaying biopotential signals from user-supplied electrodes including: 

  • Neural Spike Decoding 
  • Local Field Potentials 
  • Electrocorticography (ECoG) 
  • Electromyography (EMG) 
  • Electrocardiography (ECG) 
  • Electrooculography (EOC) 
  • Evoked potentials (EP)
NeuroPort Front Panel
Get in touch!
Take your research to the next level with the NeuroPort Data Acquisition System

Specs

Spec
Dimensions 17" x 12.5" x 3.5"
Sample Frequency 30 kS/s
Channel Count Channel Options: 32, 64, 96, 128, 256, 512
Output Connectors Ethernet, 4x Analog BNC, 2x Audio BNC, 1x Audio 3.5mm, 4x Digital BNC, 1x Clock BNC,
Analog Input 16x ±5V BNC input digitized with 16 Bits sampled at 30 Ks/s
Digital Input 16 Bit TTL input sampled at 30Ks/s with strobe feature, 1x RS 232 Serial Input

Support & Downloads

Project LB# Rev.
Digital NeuroPort Biopotential Signal Processing System IFU LB-1194 5.00
NeuroPort Central Software Request Form

Common Setups Guide

“The NeuroPort gives me easier access to my data and allows me to visualize my EEG data better. I can run an online closed loop.”

Sydney Cash

Associate Professor Of Neurology, Massachusetts General Hospital

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