Electroencephalography (EEG)

Single-lead EEG sensor designed for evoked potentials and other localized EEG applications.

The biosignalsplux Electroencephalography (EEG) sensor has been specifically designed with both classic and localized EEG measurement applications in mind. This single-lead EEG sensor is ideal for experimental setups for which an EEG cap is too intrusive, only a limited number of EEG channels are needed, or when multiple sensor types are being used in combination with localized EEG monitoring.

The bipolar configuration, with two measurement electrodes, detects the electrical potentials in the specific scalp region and is used in combination with a reference electrode, placed at a region of low muscular activity. The resulting signal is the amplified difference between these two signals and the result of the brain’s electrical activity in the monitored scalp region.

This sensor enables non-invasive, unobtrusive, and localized EEG monitoring, which, for example, can be used to track changes in cerebral activity as a result of visual or auditory stimuli.

Features
  • Single-channel bipolar sensor
  • Pre-conditioned analog output
  • High signal-to-noise ratio
  • Medical-grade raw data output
  • Ready-to-use
  • Miniaturized form-factor
Gain 47.780
Bandwidth 0.80-48.23Hz
CMRR 100dB
Connector Type UC-E6 (Male)
Range ±37.5μV (with VCC=3V)
Input Impedance >100GOhm
Cable Length 100cm±0.5cm (customizable)

This sensor is not a standalone use sensor and requires the use of a biosignalsplux hub and electrodes in order to acquire any data. It can be included in the following biosignalsplux kits which come with all the needed hardware and accessories for EEG data acquisition:

E. Costa, K. Baptista, J. Cavalho, J. Costa, Influence of thermal environment on occipital EEG signal amplitude in sedentary activities, in International Journal of Occupational and Environmental Safety, vol.3, vol.1, 2019

J. Heinisch, I. Hübener, K. David, The Impact of Physical Activities on the Physiological Response to Emotions, in Proc. of the International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops), 2018

L. Shu, J. Xie, M. Yang, Z. Li, D. Liao, X. Xu, X. Yang, A review of Emotion Recognition Using Phyisological Signals, in Sensors, vol. 18, no. 2074, pp. 1-41, 2018

E. Sürer, Physical and Cognitive Training of Children with Down Syndrome Using Video Games, in Smart Objects and Technologies for Social Good, pp. 362-365, 2017

A. Hariharan, M. Thomas, P. Adam, K. Fuong, Towards Understanding the Interplay of Cognitive Demand and Arousal in Auction Bidding, in Proc. of the European Conf. On Information Systems (ECIS), 2014

Looking for more?

Visit the biosignalsplux publications page for a full list of available publications.

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