An exploratory simulation study and prediction model on human brain behavior and activity using an integration of deep neural network and biosensor Rabi antenna

被引：5

作者：

Pham, Nhat Truong ^{[1
]}

Bunruangses, Montree ^{[2
]}

Youplao, Phichai ^{[3
]}

Garhwal, Anita ^{[4
]}

Ray, Kanad ^{[5
,6
,7
]}

Roy, Arup ^{[8
]}

Boonkirdram, Sarawoot ^{[9
]}

Yupapin, Preecha ^{[10
]}

Jalil, Muhammad Arif ^{[11
]}

Ali, Jalil ^{[3
]}

Kaiser, Shamim ^{[12
]}

Mahmud, Mufti ^{[13
]}

Mallik, Saurav ^{[14
]}

Zhao, Zhongming ^{[15
,16
]}

机构：

[1] Sungkyunkwan Univ, Coll Biotechnol & Bioengn, Dept Integrat Biotechnol, Computat Biol & Bioinformat Lab, Suwon 16419, Gyeonggi Do, South Korea

[2] Rajamangala Univ Technol Phra Nakhon, Fac Ind Educ, Dept Comp Engn, Bangkok 10300, Thailand

[3] Rajamangala Univ Technol Isan Sakon Nakhon Campus, Fac Ind & Technol, Dept Elect Engn, 199 Village 3, Sakon Nakhon 47160, Thailand

[4] Asia Metropolitan Univ, 6,Jalan Lembah,Bandar Baru Seri Alam, Masai 81750, Johor, Malaysia

[5] Amity Univ Rajasthan, Amity Sch Appl Sci, Jaipur, India

[6] Benemerita Univ Autonoma Puebla, Fac Ciencias Fis Matemat, Av San Claudio & Ave 18,Col San Manuel Ciudad Univ, Pueble Pue 72570, Mexico

[7] Univ Montreal, Ecole Optometrie, Faubert Lab, Montreal, PQ H3T 1P1, Canada

[8] Reva Univ, Sch Comp & Informat Technol, Bengaluru 560064, Karnataka, India

[9] Sakon Nakhon Rajabhat Univ, Fac Ind Technol, Program Elect & Elect, 680 Nittayo, Sakon Nakhon 47000, Thailand

[10] Inst Vocat Educ, Sakonnakhon Tech Coll, Sch Ind Technol, Dept Elect Technol, Northeastern 2, Sakonnakhon 47000, Thailand

[11] Unv Teknol Malaysia, Fac Sci, Dept Phys, Skudai 81310, Johor, Malaysia

[12] Jahangirnagar Univ, Inst Informat Technol, Dhaka 1342, Bangladesh

[13] Nottingham Trent Univ, Clifton Lane, Nottingham NG11 8NS, England

[14] Harvard T H Chan Sch Publ Hlth, Dept Environm Hlth, Boston, MA 02115 USA

[15] Univ Texas Hlth Sci Ctr Houston, Ctr Precis Hlth, Sch Biomed Informat, Houston, TX 77030 USA

[16] Univ Texas Hlth Sci Ctr Houston, Human Genet Ctr, Sch Publ Hlth, Houston, TX 77030 USA

来源：

HELIYON | 2023年 / 9卷 / 05期

关键词：

Brain neural network; Deep brain sensors; Brain-Rabi antenna; Deep learning; Biosensors on human brain; action; Simulation; Sensitivity; COMPUTER INTERFACES; GENERATION; SYSTEM;

D O I：

10.1016/j.heliyon.2023.e15749

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

The plasmonic antenna probe is constructed using a silver rod embedded in a modified Mach-Zehnder interferometer (MZI) ad-drop filter. Rabi antennas are formed when space-time control reaches two levels of system oscillation and can be used as human brain sensor probes. Photonic neural networks are designed using brain-Rabi antenna communication, and transmissions are connected via neurons. Communication signals are carried by electron spin (up and down) and adjustable Rabi frequency. Hidden variables and deep brain signals can be obtained by external detection. A Rabi antenna has been developed by simulation using computer simulation technology (CST) software. Additionally, a communication device has been developed that uses the Optiwave program with Finite-Difference Time-Domain (OptiFDTD). The output signal is plotted using the MATLAB program with the parameters of the OptiFDTD simulation results. The proposed antenna oscillates in the frequency range of 192 THz to 202 THz with a maximum gain of 22.4 dBi. The sensitivity of the sensor is calculated along with the result of electron spin and applied to form a human brain connection. Moreover, intelligent machine learning algorithms are proposed to identify high-quality transmissions and predict the behavior of transmissions in the near future. During the process, a root mean square error (RMSE) of 2.3332(& PLUSMN;0.2338) was obtained. Finally, it can be said that our proposed model can efficiently predict human mind, thoughts, behavior as well as action/reaction, which can be greatly helpful in the diagnosis of various neuro-degenerative/psychological diseases (such as Alzheimer's, dementia, etc.) and for security purposes.

引用

页数：12

共 34 条

[1] A Review of Actuation and Sensing Mechanisms in MEMS-Based Sensor Devices [J].