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EEC 787/687 Class Project

BioRadio Final Report 6Version 3

Group EPIC

Members:

Qing Wu & Himanshu Sharma

Coordinator:

Dr. Chansu Yu

2016-12-7

Team Introduction

Team Coordinator: Dr. Chansu Yu

Team Members: - Qing Wu- Himanshu Sharma

Project Topic: Bioradio & its applications

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Introduction

System Introduction

Electroencephalographic (EEG) technique is well established and widely used in

the field of clinical and neuroscience. Digital signal process is widely utilized in

EEG for signal analysis in both time and frequency domains for several

biomedical applications, such as cognitive analysis, seizure detection, and so on.

In this paper, we applied a wearable biomedical device by utilizing BioRadio

150 set from Great Lakes NeuroTechnologies Company as a data transmitter

[1], and a Cleveland State University EEG cap (CEC) for four-channel EEG

data acquisition with gold cup electrode sensors (Figure 1).

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System Introduction

BioRadio EPIC System Graph

The BioRadio 150 is a wireless data acquisition system capable of recording,

displaying, and analyzing physiological signals in real time [1]. Furthermore,

we implemented a EEG data acquisition and processing platform (named as

“BioRadio EPIC”) to analyze real-time human EEG feed-backs from CEC, as

an entertainment application for movie trailer quality evaluation and research

purpose for human learning process (Figure 3).

Experiments Introduction

In the functional part, we tested several simple/typical human gestures

and facial movements. In this section, we mainly used BioCapture

software offered by Great Lakes NeuroTechnologies Company (i.e. for

EEG data acquisition once captured by BioRadio devices [2]). First, we

tried the old set BioRadio150 with 2 attachments on human’s forehead,

known as Fp1 and Fp2 shown in Figure 2. We developed our

experiments up to 4 channels (i.e. Fp1, Fp2, O1, O2 shown in Figure 2)

using the new BioRadio set. Later on, we tried our CEC with

volunteers while they were watching different types of movies.

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Experiments Introduction

EEG Electric Nodes Placement Guides

EEG

Segment

Frequency

Band (Hz)

Normal

Functions

Other

Notes

Delta (δ) 0 - 4 Sleep Stationary

Theta (θ) 4 – 8 Idling Stationary

Alpha (α) 8 – 12 Eye

movements

Seizures

Beta (β) 12 -30 Medication

, Focus

Drug

Effect,

Anxious

Gamma

(γ)

30 - 70 Learning,

Memory

Seizures

Experiments Introduction

EEG

Channels

Electrode

Placement

Testing Tasks with Set No.

(BioRadio Set 150/New Set)

Sensors

Applied

2 Fp1, Fp2 Set 1: Eye blinks; Breath; Hand

movement

(BioRadio Set 150)

Galvanic Skin

Response (GSR)

2 Fp1, Fp2

Set 2: Eye blinks; Regular phone

speaking; Watch different types of

movies; (BioRadio New Set)

Advanced

Medical Cables

(AMC)

4 Fp1, Fp2, O1, O2 Set 3: Eye blinks; Watch different types

of movies. (BioRadio New Set)

Gold Cups

Electrode (GCE)

4 Fp1, Fp2, O1, O2 Set 4: Watch a real funny movie

(BioRadio New Set)

Set 5: Watch 2 funny movie trailers

Set 6: Watch 2 horror movie trailers

(BioRadio 150 Set)

CSU EEG Cap

(CEC)

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Experiments Introduction

Set 2 (7 tests in all):

1. Breath smoothly, eye blink test

2. Watch Movie Trailer: Guardians of the Galaxy Vol. 2 Official Trailer

https://www.youtube.com/watch?v=wX0aiMVvnvg

3. Watch Movie Trailer in Indian Language: Befikre Official Trailer

https://www.youtube.com/watch?v=p7X7mwcEJ-w

4. Watch a kid movie: SpongeBob SquarePants(Subject never laughed)

5. Speaking in phone

6. Watch a horror Movie Trailer (1)

7. Watch a horror Movie Trailer (2)

Results &Discussion:

Avg_Alpha Avg_Beta Avg_Gamma

Set 6 1.32E-03 1.56E-03 2.55E-04

Set 7 1.45E-03 1.90E-03 3.80E-04

0.00E+00

2.00E-04

4.00E-04

6.00E-04

8.00E-04

1.00E-03

1.20E-03

1.40E-03

1.60E-03

1.80E-03

2.00E-03

Fre

qu

en

cy B

an

ds

High Frequency Bands EEG Energy of Horror Movie Trailers

EEG high frequency

bands energy of movie

trailer Set 7 is overall

higher than Set 6 (i.e.

more nervous). It matches

our observation notes (i.e.

ground truth) from

volunteer’s report after

test that he feels Movie set

7 is more horrible than set

6.

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Results &Discussion:

Avg_Alpha Avg_Beta Avg_Gamma

Set 4 1.80E-03 2.30E-03 3.77E-04

CEC 1.92E-05 2.41E-05 9.72E-06

0.00E+00

5.00E-04

1.00E-03

1.50E-03

2.00E-03

2.50E-03

Fre

qu

en

cy B

an

ds

High Frequency Bands EEG Energy of Funny Movie Trailers

EEG high frequency

bands energy of movie

trailer CEC is much lower

than Set 4 (i.e. more

relaxed). It matches our

observation notes (i.e.

ground truth) from

volunteer’s report after

test that he feels Movie

test CEC is a real funny

trailer than set 4.

Results &Discussion:

We had newly added 12 sets experiments of 4 different movies. We

chose 2 funny movie trailers, and 2 horror movie trailers. We had 3

volunteers this time. More details will in our reports.

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P1 stands for person 1. He thinks Movie Trailer M1 is much funny/

entertained than M2.

M1.Alpha M1.Beta M1.Gamma P1 M2.Alpha M2.Beta M2.Gamma

Avg_O1&O2 0.015022672 0.015991058 0.006209128 0 0.006784738 0.004437829 0.001282462

Avg_FP1&FP2 0.00052326 0.002037763 0.464107216 0 0.00040521 0.005809923 0.451926344

High Frequency Bands Energy of EEG in 2 Funny Movies

P2 stands for person 2. She thinks Movie Trailer M1 is much funny/

entertained than M2.

M1.Alpha M1.Beta M1.Gamma P2 M2.Alpha M2.Beta M2.Gamma

Avg_O1&O2 0.000298439 0.011610946 0.474497632 0 0.01254609 0.014136495 0.026101931

Avg_FP1&FP2 4.96845E-06 9.72765E-05 0.470067544 0 0.00046958 0.002608086 0.453136535

High Frequency Bands Energy of EEG in 2 Funny Movies

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P3 stands for person 3. He thinks Movie Trailer M1 is almost the same

feeling with M2.

M1.Alpha M1.Beta M1.Gamma P3 M2.Alpha M2.Beta M2.Gamma

Avg_O1&O2 0.000847558 0.008804519 0.412253729 0 0.013828853 0.03503376 0.180912415

Avg_FP1&FP2 0.000182902 0.002913772 0.477795907 0 0.004441236 0.022789686 0.40374747

High Frequency Bands Energy of EEG in 2 Funny Movies

0 0.05 0.1 0.15 0.2 0.25 0.3 0.35 0.4

M3.Alpha

M3.Beta

M3.Gamma

P1

M4.Alpha

M4.Beta

M4.Gamma

M3.Alpha M3.Beta M3.Gamma P1 M4.Alpha M4.Beta M4.Gamma

Avg_O1&O2 0.014041073 0.01992446 0.014459396 0 0.01057177 0.008381936 0.04156099

Avg_FP1&FP2 0.011945936 0.02926031 0.19702135 0 0.000868703 0.008177201 0.339358372

High Frequency Bands Energy of EEG in 2 Horror Movies

P1 thinks Movie Trailer M4 is much horrible than M3. The

related EEG energy in high frequency bands comparisons show

as below. M4 has overall higher energy than M3 (i.e. more

anxious/stressed).

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0 0.1 0.2 0.3 0.4 0.5 0.6

M3.Alpha

M3.Beta

M3.Gamma

P2

M4.Alpha

M4.Beta

M4.Gamma

M3.Alpha M3.Beta M3.Gamma P2 M4.Alpha M4.Beta M4.Gamma

Avg_O1&O2 0.001381504 0.002969769 0.011813668 0 0.023735348 0.043752058 0.145929464

Avg_FP1&FP2 0.000356288 0.001363035 0.214086344 0 6.06895E-05 0.000791568 0.491136073

High Frequency Bands Energy of EEG in 2 Horror Movies

P2 thinks Movie Trailer M4 is much horrible than M3. The

related EEG energy in high frequency bands comparisons show

as below. M4 has overall higher energy than M3 (i.e. more

anxious/stressed).

0 0.05 0.1 0.15 0.2 0.25 0.3 0.35 0.4 0.45 0.5

M3.Alpha

M3.Beta

M3.Gamma

P3

M4.Alpha

M4.Beta

M4.Gamma

M3.Alpha M3.Beta M3.Gamma P3 M4.Alpha M4.Beta M4.Gamma

Avg_O1&O2 0.01150263 0.046186077 0.382822105 0 0.006559366 0.0265872 0.235694415

Avg_FP1&FP2 0.000401602 0.021083992 0.457635869 0 0.000809731 0.009824952 0.272209018

High Frequency Bands Energy of EEG in 2 Horror Movies

P3 thinks Movie Trailer M4 is more “interesting” than M3. The related

EEG energy in high frequency bands comparisons show as below. M4 has

overall lower energy than M3 (i.e. more entertained).

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Results &Discussion:

It’s surprised that the EEG analysis results of person 3 when

he does the tests on M3 and M4. He shows a different opinion

other than the previous 2 persons. When him answered the

question of being terrified or not after the test, he said “No”.

He felt M4 is more interesting. However, from our EEG

analysis, we have the similar result (i.e. more entertained).

In all, we concluded that EEG analysis can also demonstrate

peoples’ inner side feelings when they watch a movie trailer.

Structure Platform Implementation

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Structure Platform Implementation

In the structure platform implementation, we developed our own

user-defined interface for CEC as 4 channel EEG data

acquisition application. We also applied several EEG analysis

algorithms both in time and frequency domains to develop

software functions in Matlab. Finally, we integrated both Data

Acquisition and Analysis Platform together called “BioRadio

EPIC” demo for this project.

Graphical Representation of Data Acquired by BioRadio set 150 Implemented by C#

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A look at our workspace in Visual Studio C++

Challenges in SDK Development

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Challenges in SDK Development

Configuration File used in our Software Design

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A One-channel Data GUI

Four-channel EEG Data Acquisition GUI

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Four-channel EEG Data Acquisition GUI

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Future works

We have already implemented a demo program for

volunteers to evaluate a movie trailer quality by using

CEC as a human EEG application system. We are

working on demo platform demonstration.

The authors thank Bryan Szwec and Bernard

Tarver at Great Lakes NeuroTechnologies

Company for their valuable input and support.

Acknowledgment

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References

[1] BioRadio, https://glneurotech.com/about-us/

[2] BioRadio 150 Software Development Kit, https://glneurotech.com/bioradio/bioradio-150/

[3] Gold Cups Sensor, https://glneurotech.com/bioradio/store/?model_number=116-0035

[4] J. Birjandtalab; M. Baran Pouyan; M. Nourani., Nonlinear dimension reduction for EEG-based epileptic seizure detection, 2016 IEEE-EMBS

[5] Qing Wu, Himanshu Sharma, Chansu Yu, Design Project Progress Report 1 Of BioRadio (Version 3), 2016-10-12

[6] Electroencephalography, https://en.wikipedia.org/wiki/Electroencephalography

[7] Qing Wu, Characterization of Impulse Noise and Hazard Analysis of Impulse Noise Induced Hearing Loss using AHAAH Modeling, 2014

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Thanks!