BioRadio Final Report 6 Version 3

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1 EEC 787/687 Class Project BioRadio Final Report 6 Version 3 Group EPIC Members: Qing Wu & Himanshu Sharma Coordinator: Dr. Chansu Yu Team Coordinator: Dr. Chansu Yu Team Members: - Qing Wu - Himanshu Sharma Team Introduction Project Topic: Bioradio & its applications 1

Introduction System Introduction Electroencephalographic (EEG) technique is well established and widely used in the field of clinical and neuroscience.

2 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). 2

System Introduction The BioRadio 150 is a wireless data acquisition system capable of recording, displaying, and analyzing physiological signals in real time [1].

3 System Introduction 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). BioRadio EPIC System Graph 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. 3

Experiments Introduction 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 Seizures movements Beta (β)

4 Experiments Introduction 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 Seizures movements Beta (β) Medication, Focus Drug Effect, Anxious Gamma (γ) Learning, Memory Seizures EEG Electric Nodes Placement Guides 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) 4

5 Frequency Bands 12/19/2016 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 3. Watch Movie Trailer in Indian Language: Befikre Official Trailer 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: 2.00E E E E E E E E E-04 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 E E+00 Avg_Alpha Avg_Beta Avg_Gamma Set E E E-04 Set E E E-04 5

6 Frequency Bands 12/19/2016 Results &Discussion: 2.50E E E E E-04 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 E+00 Avg_Alpha Avg_Beta Avg_Gamma Set E E E-04 CEC 1.92E E E-06 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. 6

7 P1 stands for person 1. He thinks Movie Trailer M1 is much funny/ entertained than M2. High Frequency Bands Energy of EEG in 2 Funny Movies M1.Alpha M1.Beta M1.Gamma P1 M2.Alpha M2.Beta M2.Gamma Avg_O1&O Avg_FP1&FP P2 stands for person 2. She thinks Movie Trailer M1 is much funny/ entertained than M2. High Frequency Bands Energy of EEG in 2 Funny Movies M1.Alpha M1.Beta M1.Gamma P2 M2.Alpha M2.Beta M2.Gamma Avg_O1&O Avg_FP1&FP E E

8 P3 stands for person 3. He thinks Movie Trailer M1 is almost the same feeling with M2. High Frequency Bands Energy of EEG in 2 Funny Movies M1.Alpha M1.Beta M1.Gamma P3 M2.Alpha M2.Beta M2.Gamma Avg_O1&O Avg_FP1&FP 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). High Frequency Bands Energy of EEG in 2 Horror Movies M4.Gamma M4.Beta M4.Alpha P1 M3.Gamma M3.Beta M3.Alpha M3.Alpha M3.Beta M3.Gamma P1 M4.Alpha M4.Beta M4.Gamma Avg_O1&O Avg_FP1&FP

9 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). High Frequency Bands Energy of EEG in 2 Horror Movies M4.Gamma M4.Beta M4.Alpha P2 M3.Gamma M3.Beta M3.Alpha M3.Alpha M3.Beta M3.Gamma P2 M4.Alpha M4.Beta M4.Gamma Avg_O1&O Avg_FP1&FP E 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). High Frequency Bands Energy of EEG in 2 Horror Movies M4.Gamma M4.Beta M4.Alpha P3 M3.Gamma M3.Beta M3.Alpha M3.Alpha M3.Beta M3.Gamma P3 M4.Alpha M4.Beta M4.Gamma Avg_O1&O Avg_FP1&FP

10 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 10

Structure Platform Implementation In the structure platform implementation, we developed our own user-defined interface for CEC as 4 channel EEG data acquisition application.

11 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# 11

12 A look at our workspace in Visual Studio C++ Challenges in SDK Development 12

13 Challenges in SDK Development Configuration File used in our Software Design 13

14 A One-channel Data GUI Four-channel EEG Data Acquisition GUI 14

15 Four-channel EEG Data Acquisition GUI 15

16 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. Acknowledgment The authors thank Bryan Szwec and Bernard Tarver at Great Lakes NeuroTechnologies Company for their valuable input and support. 16

17 References [1] BioRadio, [2] BioRadio 150 Software Development Kit, [3] Gold Cups Sensor, [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), [6] Electroencephalography, [7] Qing Wu, Characterization of Impulse Noise and Hazard Analysis of Impulse Noise Induced Hearing Loss using AHAAH Modeling,

18 Thanks! 18

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