I contacted EMOTIV Support and they informed me that, in the current edition, you cannot view the marker type. They said that feature has been added for the next edition.

Though this is not possible in Emotiv Pro 2.0, I have found a way to do this in Matlab. I used the following code to plot the EEG data in Matlab and add the event markers. I have also attached the Matlab file.

%% Importing_and_Plotting_EEG_Example

close all; clear all; clc;

% look to 300 ms for peak after stimulation

% add folder with csv file to path

addpath 'C:\Users\chris\Documents\College\Sixth Year\DAGSI\Data\EMOTIV Recordings\Event Marker Try 4'

% change current directory to where this Matlab file is

cd 'C:\Users\chris\Documents\College\Sixth Year\DAGSI\Data\EMOTIV Recordings'

% stops Matlab from rounding numbers

format long;

% Importing csv data

T=readtable('Try 4.csv'); %This reads the csv data into a table named T

timestampOrig=T.Timestamp; %this makes timestampOrig equal to the original Timestamp

T.Timestamp=T.Timestamp-T.Timestamp(1); %This changes the official Timestamp column so it is 0 at the start of the recording

% Changes the sensor names from EEG_ to

T.Properties.VariableNames(2:end)=extractAfter(T.Properties.VariableNames(2:end),'_');

%T5=head(T, 5) %shows first 5 rows of table T

Int=readtable('Event Marker Try 4_EPOCX_126368_2021.06.04T15.42.31.04.00_intervalMarker.csv');

EvtMar=Int.latency;

EvtMarLab=Int.type;

EvtLab=readtable('Try 4 Event Labels.xlsx');

table(EvtLab)

%% Stacked Plot

% Plot all electrode readings on the same plot (vs timestamp)

fig0=figure('Name', 'EEG Signals - Stacked Plot');

%creates a stacked plot with Timestamp as x-axis and the values of the variables in

%columns 2:end as the y-axis

sp=stackedplot(T,T.Properties.VariableNames(2:end),'XVariable','Timestamp');

ax = findobj(sp.NodeChildren, 'Type','Axes');

arrayfun(@(sp)xline(sp,EvtMar,'--',{'EO','BE','BE','BE','EC','BE','CE','CE','BE','OM','OM'}),ax);

grid on; xlabel('Timestamp (s)'); %turns on grid and labels the x-axis

title('EEG Signals - Stacked Plot');

fig0.WindowState = 'maximize'; %maximizes the figure window -> easier to see

%% Reg Plot - all EEG Signals and peaks on same plot

%Plot EEG signals on same plot and find their peaks (when the peak is at

%least 100 above the nearest values

fig2=figure('Name', 'EEG Signals and Peaks - Same Plot');

%sets color order to 14 different colors

newcolors={'#0072BD', '#D95319', '#EDB120', '#7E2F8E','#77AC30','#4DBEEE', '#A2142F', '#FF0000', '#9000de', '#0000FF', '#00FFFF', '#FF00FF', '#2fde00', '#8a8a8a'};

colororder(newcolors); %sets the new color order to use

%Next 15 lines plot findpeaks for all sensors on the same plot - can

%adjust each prominence as desired

findpeaks(T.AF3, T.Timestamp,'MinPeakProminence',100);

grid on; hold on; %turns on grid and plots all peaks on same plot

findpeaks(T.F7, T.Timestamp,'MinPeakProminence',100);

findpeaks(T.F3, T.Timestamp,'MinPeakProminence',100);

findpeaks(T.FC5, T.Timestamp,'MinPeakProminence',100);

findpeaks(T.T7, T.Timestamp,'MinPeakProminence',100);

findpeaks(T.P7, T.Timestamp,'MinPeakProminence',100);

findpeaks(T.O1, T.Timestamp,'MinPeakProminence',100);

findpeaks(T.O2, T.Timestamp,'MinPeakProminence',100);

findpeaks(T.P8, T.Timestamp,'MinPeakProminence',100);

findpeaks(T.T8, T.Timestamp,'MinPeakProminence',100);

findpeaks(T.FC6, T.Timestamp,'MinPeakProminence',100);

findpeaks(T.F4, T.Timestamp,'MinPeakProminence',100);

findpeaks(T.F8, T.Timestamp,'MinPeakProminence',100);

findpeaks(T.AF4, T.Timestamp,'MinPeakProminence',100);

xline(EvtMar,'--',{'EO','BE','BE','BE','EC','BE','CE','CE','BE','OM','OM'}); %Vertical Lines as event markers

%Creates legend for the plot

legend({'AF3', 'AF3 Peaks', 'F7', 'F7 Peaks', 'F3', 'F3 Peaks', 'FC5', 'FC5 Peaks', 'T7', 'T7 Peaks', 'P7', 'P7 Peaks', 'O1', 'O1 Peaks', 'O2', 'O2 Peaks', 'P8', 'P8 Peaks', 'T8', 'T8 Peaks', 'FC6', 'FC6 Peaks', 'F4', 'F4 Peaks', 'F8', 'F8 Peaks', 'AF4', 'AF4 Peaks'}, 'NumColumns', 2);

title('All Peaks on Same Graph');

xlabel('Timestamp (s)');

ylabel('EEG Value (uV)');

fig2.WindowState = 'maximize';

%% Individual Figures (Can change individual prominence)

%Plots each electrode on a new figure

mnpkprom=400;

%AF3

fig5=figure('Name', 'Try 4 AF3 Peaks Prominence: 400');

fig5.WindowState = 'maximize';

plot(T.Timestamp, T.AF3);

findpeaks(T.AF3, T.Timestamp,'MinPeakProminence',mnpkprom); %the mnpkprom means the peaks drop off by >=mnpkprom on each side of the peak

ylabel('AF3 (uV)');

xline(EvtMar, '--', {'EO','BE','BE','BE','EC','BE','CE','CE','BE','OM','OM'}); %Vertical Lines as event markers

title('Try 4 AF3 Peaks Prominence: 400');

grid on;

%F7

fig6=figure('Name', 'Try 4 F7 Peaks Prominence: 400');

fig6.WindowState = 'maximize';

plot(T.Timestamp, T.F7);

findpeaks(T.F7, T.Timestamp,'MinPeakProminence',mnpkprom);

xline(EvtMar, '--', {'EO','BE','BE','BE','EC','BE','CE','CE','BE','OM','OM'}); %Vertical Lines as event markers

ylabel('F7 (uV)');

title('Try 4 F7 Peaks Prominence: 400');

%F3

fig7=figure('Name', 'Try 4 F3 Peaks Prominence: 400');

fig7.WindowState = 'maximize';

plot(T.Timestamp, T.F3);

findpeaks(T.F3, T.Timestamp,'MinPeakProminence',mnpkprom);

xline(EvtMar, '--', {'EO','BE','BE','BE','EC','BE','CE','CE','BE','OM','OM'}); %Vertical Lines as event markers

ylabel('F3 (uV)');

title('Try 4 F3 Peaks Prominence: 400');

%FC5

fig8=figure('Name', 'Try 4 FC5 Peaks Prominence: 400');

fig8.WindowState = 'maximize';

plot(T.Timestamp, T.FC5);

findpeaks(T.FC5, T.Timestamp,'MinPeakProminence',mnpkprom);

xline(EvtMar, '--', {'EO','BE','BE','BE','EC','BE','CE','CE','BE','OM','OM'}); %Vertical Lines as event markers

ylabel('FC5 (uV)');

title('Try 4 FC5 Peaks Prominence: 400');

%T7

fig9=figure('Name', 'Try 4 T7 Peaks Prominence: 400');

fig9.WindowState = 'maximize';

plot(T.Timestamp, T.T7);

findpeaks(T.T7, T.Timestamp,'MinPeakProminence',mnpkprom);

xline(EvtMar, '--', {'EO','BE','BE','BE','EC','BE','CE','CE','BE','OM','OM'}); %Vertical Lines as event markers

ylabel('T7 (uV)');

title('Try 4 T7 Peaks Prominence: 400');

%P7

fig10=figure('Name', 'Try 4 P7 Peaks Prominence: 400');

fig10.WindowState = 'maximize';

plot(T.Timestamp, T.P7);

findpeaks(T.P7, T.Timestamp,'MinPeakProminence',mnpkprom);

xline(EvtMar, '--', {'EO','BE','BE','BE','EC','BE','CE','CE','BE','OM','OM'}); %Vertical Lines as event markers

ylabel('P7 (uV)');

title('Try 4 P7 Peaks Prominence: 400');

%O1

fig11=figure('Name', 'Try 4 O1 Peaks Prominence: 400');

fig11.WindowState = 'maximize';

plot(T.Timestamp, T.O1);

findpeaks(T.O1, T.Timestamp,'MinPeakProminence',mnpkprom);

xline(EvtMar, '--', {'EO','BE','BE','BE','EC','BE','CE','CE','BE','OM','OM'}); %Vertical Lines as event markers

ylabel('O1 (uV)');

title('Try 4 O1 Peaks Prominence: 400');

%O2

fig12=figure('Name', 'Try 4 O2 Peaks Prominence: 400');

fig12.WindowState = 'maximize';

plot(T.Timestamp, T.O2);

findpeaks(T.O2, T.Timestamp,'MinPeakProminence',mnpkprom);

xline(EvtMar, '--', {'EO','BE','BE','BE','EC','BE','CE','CE','BE','OM','OM'}); %Vertical Lines as event markers

ylabel('O2 (uV)');

title('Try 4 O2 Peaks Prominence: 400');

%P8

fig13=figure('Name', 'Try 4 P8 Peaks Prominence: 400');

fig13.WindowState = 'maximize';

plot(T.Timestamp, T.P8);

findpeaks(T.P8, T.Timestamp,'MinPeakProminence',mnpkprom);

xline(EvtMar, '--', {'EO','BE','BE','BE','EC','BE','CE','CE','BE','OM','OM'}); %Vertical Lines as event markers

ylabel('P8 (uV)');

title('Try 4 P8 Peaks Prominence: 400');

%T8

fig14=figure('Name', 'Try 4 T8 Peaks Prominence: 400');

fig14.WindowState = 'maximize';

plot(T.Timestamp, T.T8);

findpeaks(T.T8, T.Timestamp,'MinPeakProminence',mnpkprom);

xline(EvtMar, '--', {'EO','BE','BE','BE','EC','BE','CE','CE','BE','OM','OM'}); %Vertical Lines as event markers

ylabel('T8 (uV)');

title('Try 4 T8 Peaks Prominence: 400');

%FC6

fig15=figure('Name', 'Try 4 FC6 Peaks Prominence: 400');

fig15.WindowState = 'maximize';

plot(T.Timestamp, T.FC6);

findpeaks(T.FC6, T.Timestamp,'MinPeakProminence',mnpkprom);

xline(EvtMar, '--', {'EO','BE','BE','BE','EC','BE','CE','CE','BE','OM','OM'}); %Vertical Lines as event markers

ylabel('FC6 (uV)');

title('Try 4 FC6 Peaks Prominence: 400');

%F4

fig16=figure('Name', 'Try 4 F4 Peaks Prominence: 400');

fig16.WindowState = 'maximize';

plot(T.Timestamp, T.F4);

findpeaks(T.F4, T.Timestamp,'MinPeakProminence',mnpkprom);

xline(EvtMar, '--', {'EO','BE','BE','BE','EC','BE','CE','CE','BE','OM','OM'}); %Vertical Lines as event markers

ylabel('F4 (uV)');

title('Try 4 F4 Peaks Prominence: 400');

%F8

fig17=figure('Name', 'Try 4 F8 Peaks Prominence: 400');

fig17.WindowState = 'maximize';

plot(T.Timestamp, T.F8);

findpeaks(T.F8, T.Timestamp,'MinPeakProminence',mnpkprom);

xline(EvtMar, '--', {'EO','BE','BE','BE','EC','BE','CE','CE','BE','OM','OM'}); %Vertical Lines as event markers

ylabel('F8 (uV)');

xlabel('Timestamp (s)');

title('Try 4 F8 Peaks Prominence: 400');

%AF4

fig18=figure('Name', 'Try 4 AF4 Peaks Prominence: 400');

fig18.WindowState = 'maximize';

plot(T.Timestamp, T.AF4);

findpeaks(T.AF4, T.Timestamp,'MinPeakProminence',mnpkprom);

xline(EvtMar, '--', {'EO','BE','BE','BE','EC','BE','CE','CE','BE','OM','OM'}); %Vertical Lines as event markers

ylabel('AF4 (uV)');

xlabel('Timestamp (s)');

title('Try 4 AF4 Peaks Prominence: 400');