Evidence map›Paper›PMID 37305516›Full record

ArticleHeliyon2023

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

Nhat Truong Pham, Montree Bunruangses, Phichai Youplao, Anita Garhwal, Kanad Ray, Arup Roy, Sarawoot Boonkirdram, Preecha Yupapin, Muhammad Arif Jalil, Jalil Ali and 4 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.9field-weighted citation impact, top 30% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 6 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 11 institutions in 9 countries.

Nhat Truong PhamComputational Biology and Bioinformatics Laboratory, Department of Integrative Biotechnology, College of Biotechnology and Bioengineering, Sungkyunkwan University, Suwon 16419, Gyeonggi-do, Republic of Korea.
Montree BunruangsesDepartment of Computer Engineering, Faculty of Industrial Education, Rajamangala University of Technology Phra Nakhon, Bangkok 10300, Thailand.
Phichai YouplaoDepartment of Electrical Engineering, Faculty of Industry and Technology, Rajamangala University of Technology Isan Sakon Nakhon Campus, 199 Village no. 3, Phungkon, Sakon Nakhon 47160, Thailand.
Anita GarhwalAsia Metropolitan University, 6, Jalan Lembah, Bandar Baru Seri Alam 81750, Masai, Johor, Malaysia.
Kanad RayAmity School of Applied Sciences, Amity University Rajasthan, Jaipur, India.
Arup RoySchool of Computing and Information Technology, Reva University, Bengaluru, Karnataka 560064, India.
Sarawoot BoonkirdramProgram of Electrical and Electronics, Faculty of Industrial Technology, Sakon Nakhon Rajabhat University, 680 Nittayo, Mueang, Sakon Nakhon 47000, Thailand.
Preecha YupapinDepartment of Electrical Technology, School of Industrial Technology, Sakonnakhon Technical College, Institute of Vocational Education Northeastern 2, Sakonnakhon 47000, Thailand.
Muhammad Arif JalilDepartment of Physics, Faculty of Science, Unversiti Teknologi Malaysia, 81310 Skudai, Johor, Malaysia.
Jalil AliDepartment of Electrical Engineering, Faculty of Industry and Technology, Rajamangala University of Technology Isan Sakon Nakhon Campus, 199 Village no. 3, Phungkon, Sakon Nakhon 47160, Thailand.
Shamim KaiserInstitute of Information Technology, Jahangirnagar University, Savar, Dhaka 1342, Bangladesh.
Mufti MahmudNottingham Trent University, Clifton Lane, NG11 8NS, Nottingham, United Kingdom.
Saurav MallikDepartment of Environmental Health, Harvard T H Chan School of Public Health, Boston, MA 02115, USA.
Zhongming ZhaoCenter for Precision Health, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA.
Rajamangala University of Technology Isan · THSakon Nakhon Rajabhat University · THHarvard University · USJahangirnagar University · BDNottingham Trent University · GBRajamangala University of Technology Phra Nakhon · THREVA University · INSungkyunkwan University · KRThe University of Texas Health Science Center at Houston · USUniversité de Montréal · CAUniversity of Technology Malaysia · MY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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

Indexed as

Biosensors on human brain/actionBrain neural networkBrain-Rabi antennaDeep brain sensorsDeep learningSensitivitySimulation

Identifiers

PMID37305516
PMCPMC10256856
OpenAlexW4366978940

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.