EP & ERP set

Evoked Potentials
Event-Related Potential

OVERVIEW

EP & ERP set is intended for recording and analysis the potentials of the human brain, caused by the presentation of sound or visual stimuli.

EP & ERP is used by professionals in the neuroscience, cognitive psychology, cognitive sciences, and psychophysiological research. Module methods are well suited for studying the rate of neural activity.

In clinical research, EP & ERP is used to treat neurological conditions such as ADHD, dementia, Parkinson's disease, multiple sclerosis, head trauma, stroke obsessive-compulsive disorder, etc.

EP & ERP set is an option to NEUROvisor clinical EEG system. EEG amplifier NVX 36 or NVX 52 is not included in the EP & ERP set. PC with Windows 10 64 bit or higher is required for installation.

Get Quotation

Publications

Documents

SOFTWARE

EP & ERP set provides precise positioning of the stimulus label on the EEG when recording evoked potentials. Set is designed for use with EEG amplifiers NVX and NEUROvisor software, as well as with other amplifiers and software.

Set includes an audio stimulator with the ability to synchronize event marks, headphones, a keyboard for recording the response of the subject, and an optical sensor for synchronizing the presented visual stimuli.

EP/ERP SET SUPPORTS MORE THAN 60 DIFFERENT TESTS

P300

ERP component elicited in the process of decision making

VN400

ERP component elicited to visual inclusion of meaningful words in sentence contexts

Mathematics

test of brain’s reaction in the process of solving mathematical tasks

ECPT

test to assess the ability to focus on constant activity

GONOGO

test of variation of decisions about spatial complexity or functional connectivity of visual objects by EEG

VCPT

test to assess the ability to focus on visual stimulus

VISUAL EP

a flashing chessboard to detect damage or injury to the visual system

VCPT ERP

continuous performance test. Target and non-target stimuli appear on the screen in the form of cartoon images without letters and numbers

SPECIFICATION

Electrical stimulator unit Astim

Astim
Number of audio channels	1
Number of audio playback control channels	1
Sound modes	right ear, left ear, both ear
Dynamic range	96 dB
Resolution of audio stream	16
Signal sampling frequency	32 kHz, 44.1 kHz, 48 kHz
Frequency of response	10‑19500 Hz (for 44.1 kHz sample rate)
THD + Noise (THD+N), max	0.005%
Maximum output voltage level for headphones	2 Vrms
Group delay of audio output	0.79 ms
Output triggers, all	8
The number of broadcast triggers from the audio playback control channel	2
Number of broadcast triggers from the patient's keyboard	5
The number of broadcast triggers from the optical sensor	1
Digital trigger input cable connector (ER keyboard)	DB‑9F
Digital trigger output cable connector (SyncOut)	DB‑9M
Connector type for headphones (ER headphones) and optical sensor (VGAsens)	3.5 stereo plug
Galvanic isolation of headphone jacks and patient keyboard from PC and EEG amplifier	reinforced, test voltage 5 kV, 1 min
PC interface	USB 2.0
Supply voltage	5 VDC (±5%)
Maximum power consumption	400 mA from USB power lines
Dimensions (LxWxH)	120 x 80 x 35 mm
Weight	160 ±10 g

ER headphones

ER headphones
Type	Closed
Impedance	24 Ohm
Frequency of response	from 21 to 18000 Hz
Sound Pressure	108 dB
Colors of rigth / left ear pads	red / blue
Сable length	3.0 ±0.1 m
Cable connector type	3.5 stereo plug
Weight	215 ±10 g

ER keyboard

ER keyboard
Keys	5
Ingress Protection	IP44
Сable length	1.5 ±0.1 m
Cable connector type	DB‑9M
Dimensions (LxWxH)	130×60×30 ±5 mm
Weight	130 ±10 g

Photometric sensor VGAsens

Photometric sensor VGAsens
Minimal dimensions of «flash area»	5 x 5 mm
Intensity threshold *	3 to 300 Lux (adjustable)
Switching time, typical *	20 to 60 µs
Holding time, typical *	2.40 ms
Supply voltage	5 VDC (±5%)
Maximum power consumption	25 mA
Сable length	5 ±0.1 m
Cable connector type	3.5 stereo plug
Dimensions (LxWxH)	35 x 35 x 16 ±0.5 mm
Weight	100 ±10 g

Program module Neurovisor-ERP

Parameter	Value
Age groups	infants and children (0‑10 years) adults and teenager from 10 years
Working mode	EEG acquisition and automatic report generation, EEG analysis and report editing
Scenario types	built-in (with the ability to edit the number of samples)
Types of stages	learning, experiment
Duration of stages	from 20 sec. to 20 min.
Transition to next stage of EEG recording	manual
Acquisition management	pause, increase in the number of stimulus, early completion of the stage
EEG montages	The list of available montages depends on the selected test
Re-montage during analysis of EEG	no
EEG electrodes impedance quality level (impedance borders default)	good (< 20 kOhm), average (from 20 to 40 kOhm), bad (> 40 kOhm), no contact
Regulated borders of EEG electrodes impedance quality	good – average, average – bad
Speed	7.5 mm/s, 15 mm/s, 30 mm/s (by default), 60 mm/s
Gain of EEG channels	12.5 µV/cm, 25 µV/cm, 50 µV/cm, 70 µV/cm (by default), 100 µV/cm, 200 µV/cm
HPF EEG cannels at -3 dB, Butterwort 1st order	0.016 Hz, 0.05 Hz, 0.1 Hz, 0.16 Hz (by default), 0.5 Hz, 1 Hz, 2 Hz configurable for each test
LPF EEG cannels at -3 dB, Butterwort 4st order	15 Hz, 30 Hz (default), 70 Hz, 100 Hz, 500 Hz configurable for each test
Power line rejection filter of EEG channels; base / 2d harmonic	off, 50/100 Hz (default), 60/120 Hz configurable for each test
Artifact amplitude threshold	from 50 to 1000 μV (100 μV by default)
Calculation segment	from –500 to 0 ms configurable for each test
Patient button delay	from 25 to 5000 ms configurable for each test
Patient button delay, lower limit	from 25 to 100 ms
Patient button delay, upper limit	from 125 to 5000 ms
Number of stimulus presented	from 25 to 1000 (200 by default)
On screen manual measuring of times and amplitudes	tolerance not worse 5% for length of segment more 20 mm
Sound volume control	yes
Positive axis direction	Up, Down (by default)
The ability to conduct examination with poor impedance.	yes, no (by default)
Ignore patient button clicks	yes, no (by default)
Report file format	PDF 1.7 according to ISO 32000-1 (Portable Document Format)
Report pages size	A4 210×297 мм (by default), Letter 215,9×279,4 mm
EEG export format	EDF+
EEG text description export format	XLS (Excel)
Recommended EEG amplifiers	NVX24, NVX36, NVX52 (MCS) Compatibility with other amplifiers, check with the manufacturer
Recommended Equipment	Electrical stimulator unit Astim (MCS) Photometric sensor VGAsens (MCS) ER headphones (MCS) ER keyboard (MCS)
Methodology	Гнездицкий В. В. Вызванные потенциалы мозга в клинической практике Таганрог: Издательство ТРТУ. -1997. -252 с.: 124 иллюстрации. –ISBN 5‑230‑24743‑6 Miranda P. Event-related-potential (ERP) markers of traumatic brain injury (TBI) severity and cognitive function – Understanding how the brain works and thinks post TBI. Journal of Systems and Integrative Neuroscience, 2020. Volume 6: 1‑12 Duncan, C. C., Barry, R. J., Connolly, J. F., Fischer, C., Michie, P. T., Näätänen, R., … Van Petten, C. (2009). Event-related potentials in clinical research: Guidelines for eliciting, recording, and quantifying mismatch negativity, P300, and N400. Clinical Neurophysiology, 120(11), 1883‑1908. Kropotov, Quantitative EEG Event-Related Potentials, 2008 Ira A. Noveck, Andres Posada, Characterizing the time course of an implicature: An evoked potentials study. Phillip J. Holcomb. Event-Related Brain Potentials Elicited by Syntactic Anomaly. Emily S. Kappenman, Steven J. Luck, The Oxford Handbook of Event-Related Potential Components, 2012 Steven J. Luck, An Introduction to the Event-Related Potential Technique, 2014 Steven J. Luck. Overview of Common ERP Components. MIT Press, 2014. p. 85-87. PSYTASK, User Manual 1.50, 2008. MATTHEW B. PONTIFEX, KATHRYN L. GWIZDALA, ANDREW C. PARKS, MARTIN BILLINGER, AND CLEMENS BRUNNER. Variability of ICA decomposition may impact EEG signals when used to remove eyeblink artifacts. Psychophysiology, 54 (2017), 386–398. Wiley Periodicals, Inc. DOI: 10.1111/psyp.12804 Zohreh Zakeri. Optimised Use of Independent Component Analysis for EEG Signal Processing. The University of Birmingham, January 2016. Natasa Kovacevic⁎ and Anthony Randal McIntosha. Groupwise independent component decomposition of EEG data and partial least square analysis. NeuroImage 35 (2007) 1103–1112. Tzyy-Ping Jung, Scott Makeig, Marissa Westerfield, Jeanne Townsend, Eric Courchesne, Terrence J. Sejnowski. Removal of eye activity artifacts from visual event-related potentials in normal and clinical subjects. Clinical Neurophysiology 111 (2000) 1745-1758 Ahmad Mayeli, Obada Al Zoubi*, Kaylee Henry, Chung Ki Wong, Evan J. White, Qingfei Luo, Vadim Zotev, Hazem Refai, Tulsa 1000 Investigators#, Jerzy Bodurka. Automated Pipeline for EEG Artifact Reduction (APPEAR) Recorded during fMRI
Software version	1.4

Software module NeuroVisor-EP

Parameter	Value
Age groups	infants and children (0‑10 years) adults and teenager from 10 years
Working mode	EEG acquisition and automatic report generation, EEG analysis and report editing
Scenario types	embedded (not editable),
Transition to next stage of EEG recording	automatic (default), manual
Acquisition management	pause, increase in the number of stimulus, early completion of the stage
EEG electrodes impedance quality level (impedance borders default)	good (less 20 kOhm), average (20‑40 kOhm), bad (more 40 kOhm), no contact
Regulated borders of EEG electrodes impedance quality	good – average, average – bad
Speed	7.5 mm/sec, 15 mm/sec, 30 mm/sec (default), 60 mm/sec
Gain of EEG channels	12.5 uV/cm, 25 uV/cm, 50 uV/cm, 70 uV/cm (default), 100 uV/cm, 200 uV/cm
HPF EEG cannels at -3 dB	10 Hz, 30 Hz (default), 100 Hz, 200 Hz configurable for each test
LPF EEG cannels at -3 dB	1000 Hz, 1500 Hz, 2000 Hz (default), 3000 Hz configurable for each test
Power line rejection filter of EEG channels; base / 2d harmonic	off, 50/100 Hz (default), 60/120 Hz configurable for each test
Calculation segment	from –500 to 5000 ms configurable for each test
EEG amplitude threshold for artifact detection	from 50 to 1000 μV (by default 100 μV)
On screen manual measuring of times and amplitudes	tolerance not worse 5% for length of segment more 20 mm
Automatic text description of the EEG	based on automatic measurements of amplitudes and frequencies of EEG waves
Automatic text conclusion of EEG editing	at analyze mode
Report file format	PDF 1.7 according to ISO 32000-1 (Portable Document Format)
Report pages size	A4 210×297 mm (default), Letter 215,9×279,4 mm
EEG export format	EDF+
Export format of EEG text conclusion and spectral data	XLS (Excel)
Recommended EEG amplifiers	NVX24, NVX36, NVX52 (MCS) * Compatibility with other amplifiers, check with the manufacturer
Recommended Equipment	Electrical stimulator unit Astim (MCS) Photometric sensor VGAsens (MCS) ER headphones (MCS) Photic stimulator FSS4 (MCS)
Methodology	Гнездицкий В. В. Вызванные потенциалы мозга в клинической практике Таганрог: Издательство ТРТУ. -1997. -252 с.: 124 иллюстрации. –ISBN 5‑230‑24743‑6 Halliday A.M. Clinical value of evoked potentials. //EEG clin Neurophys., 1978, supp. 34. Regan D. (1978). Assessment of Visual Acuity by Evoked Potential Recording: Ambiguity Caused by Temporal Dependence of Spatial Frequency Selectivity. Vision Research, 18, 439-45. S. Sokol, A. Moskowitz, V.L. Towle. Age-related changes in the latency of the visual evoked potential: Influences of check size. Electroencephalography and Clinical Neurophysiology, v. 51, Issue 5, 1981, p. 559‑562. Yiannikas, C., & Walsh, J. C. (1983). The variation of the pattern shift visual evoked response with the size of the stimulus field. Electroencephalography & Clinical Neurophysiology, 55(4), 427–435. Chen-Lan Shen, Tai-Li Chou, Wen-Sung Lai, Ming H. Hsieh, Chen-Chung Liu, Chih-Min Liu and Hai-Gwo Hwu. P50, N100, and P200 Auditory Sensory Gating Deficits in Schizophrenia Patients. Front. Psychiatry, 27 August 2020 Bob Oranje, Mark A.Geyer, Koen B.E.Bocker, J.Leon Kenemans, Marinus N.Verbaten. Prepulse inhibition and P50 suppression: Commonalities and dissociations. Psychiatry ResearchVolume 143, Issues 2–3, 30 August 2006, Pages 147-158. Atsuhito Toyomaki, Naoki Hashimoto, Yuki Kako, Yoshiro Tomimatsu, Tsukasa Koyama, Ichiro Kusumi. Different P50 sensory gating measures reflect different cognitivedysfunctions in schizophrenia Schizophrenia Research: Cognition 2 (2015) 166–169. Steven J. Luck, An Introduction to the Event-Related Potential Technique, 2014 Emily S. Kappenman, Steven J. Luck, The Oxford Handbook of Event-Related Potential Components, 2012 Miranda P. Event-related-potential (ERP) markers of traumatic brain injury (TBI) severity and cognitive function – Understanding how the brain works and thinks post TBI. Journal of Systems and Integrative Neuroscience, 2020. Volume 6: 1‑12
Software version	1.0