ISSN (Online) 2581-9429
IJARSCT
International Journal of Advanced Research in Science, Communication and Technology (IJARSCT)
Volume 4, Issue 2, April 2021
Impact Factor: 4.819
Virtual Brain: Model Based Framework for
Dependable EEG Sensing and Actuation In Intelligent
Brain IoT System
Dr. M. V. Karthikeyan1, R. Rakshana2 and M. Sanjana3
Associate Professor, Department of Electronics and Communication Engineering1
UG Students, Department of Electronics and Communication Engineering2,,3
St. Joseph’s Institute of Technology, Chennai
Abstract: Virtual Brain Model is one of the interesting research works. In this paper we have developed
a model to ensure security for E-Will using IOT and also monitor the Patient Health using Sweat Sensor.
The Brain Activity of the patient is monitored using EEG electrodes and the collected data are stored in
the cloud platform with the help of IOT Module. The E-Will will be uploaded in cloud Platform in
presence of Notary. Hence, The Brain Activity of the patient will be monitored accurately and once the
electrodes senses there is no brain activity, Then the device wait for certain time delay and confirms
there is no brain activity. Therefore, after the confirmation the E-Will will be sent to the authorized
person through mail or a message. The patient health is Monitored with the help of Sweat Sensor. When
the bedridden patient has any heart related abnormalities the person starts to sweat initially, indication
with this temperature and pulse rate is monitored if any abnormalities found the information is sent to
the doctor immediately via GSM Module. This ensures that the patients can be taken much care and the
life of the patient can be saved without any delay.
Keywords: Brain Computer Interface; Brain Activity; IOT ,E-Will ,Sweat Sensor, GSM Module.
I. INTRODUCTION
Nowadays, Automation and Digitalization plays a major role in ruling the Industrial fields as well as Medical field.
In proving this fact, many innovation has been done such as laser operations, Automotive Machines, Smart Homes,
Digitalization of Ration Card, Aadhaar card etc. In this project, we have created a digitalized E-Will which will be very
helpful for rich people in safeguarding their Assests. The system described above makes use of the Brain-Computer
interface (BCI), as the name indicates it is a communication of brain signal to the computer. We are monitoring the
cerebral activity of the brain with the help of EEG Electrodes. Once the signal is sensed by the electrodes the data get
stored in the IOT platform. The Sweat Sensor are one of the Biomedical Sensors which will be attached to the body of
the patient and thus senses the value of sweat and monitors it continuously.
II. PREVIOUS WORKS
In previous works, Health Monitoring of the patient is not done effectively where they use a low cost Embedded
Systems. Due to this the data was not effectively transferred to the doctor and effective care is not taken to the patient.
This Low Cost Embedded system include Bluetooth and ZigBee. Later it was developed with IOT with the help of
temperature sensor, blood pressure sensor. The data transmission was not efficient and digitalization of E-Will is not
done here.
III. PROPOSED SYSTEM
In proposed system, we have used IOT based system. In this IOT based system the data transmission done over a
longer distance and added to it the data transmission rate is fast. This helps doctor to monitor the patient regularly.
We have three major development trends of Brain Computer Interface(BCI), Which are EEG, IOT, Cloud Computing
Copyright to IJARSCT DOI: 10.48175/IJARSCT-977 55
www.ijarsct.co.in
ISSN (Online) 2581-9429
IJARSCT
International Journal of Advanced Research in Science, Communication and Technology (IJARSCT)
Volume 4, Issue 2, April 2021
Impact Factor: 4.819
using these it is Completely useful for finding the true state of patient’ sheath and Brain activity. So here the activity of
the brain signal is monitored to safeguard the E-Will and the Sweat Rate is monitored, if there are any abnormalities the
information is sent to the doctor via GSM Module and the patient is treated with proper medication before the patient
gets hospitalized. We have added a Novality along with health monitoring system of the patient called as E-Will. Since
the E-Will can be authorized by many un authorized people and many dummy Wills are being created. We have made a
separate cloud technology for that particular person. So that the person writes his/her E-Will which he/she write in a
conscious state. Once the circuit confirms the patient is dead the E-Will will be sent to the Authorized person.
IV. BLOCK DIAGRAM
Figure: Block Diagram
Figure: Health Monitoring Alert Module
Figure: Virtual Brain Software Section
Copyright to IJARSCT DOI: 10.48175/IJARSCT-977 56
www.ijarsct.co.in
ISSN (Online) 2581-9429
IJARSCT
International Journal of Advanced Research in Science, Communication and Technology (IJARSCT)
Volume 4, Issue 2, April 2021
Impact Factor: 4.819
The sensors will act on 5v DC supply. We have added Transformer as it Step down 230V AC current. The bridge
rectifier used to convert AC to DC current. The TFT (Thin Film Transistor) is connected to the Arduino. The EEG
sensor will be connected to the Brain. The information from the TFT is set to the IOT cloud. The Sweat sensor shows
the sweat values. The TFT displays basically shows whether the brain is dead or not.
V. RESULTS
A) When the system is ON, the TFT displays the brain symbol.
B) When the system detects the brain Activity with the help of EEG Electrodes, The TFT displays dotted symbols in
Brain.
C) When no Brain activity is detected the circuit displays it as “Brain Dead” and the information will be sent to the
authorized person.
Copyright to IJARSCT DOI: 10.48175/IJARSCT-977 57
www.ijarsct.co.in
ISSN (Online) 2581
2581-9429
IJARSCT
International Journal of Advanced Research in Science, Communication and Technology (IJARSCT)
Volume 4, Issue 2, April 2021
Impact Factor: 4.819
Figure: Sweat Monitoring
D) Mail to Authorized Person
E) Alert To Doctor
Copyright to IJARSCT DOI: 10.48175/IJARSCT-977 58
www.ijarsct.co.in
ISSN (Online) 2581-9429
IJARSCT
International Journal of Advanced Research in Science, Communication and Technology (IJARSCT)
Volume 4, Issue 2, April 2021
Impact Factor: 4.819
REFERENCES
[1]. Bi, L., Lian, J., Jie, K., Lai, R. and Liu, Y. A speed and direction-based cursor control system with P300 and
SSVEP. Biomedical Signal Processing and Control 14 (1) (2014) 126-133.
[2]. Chatterjee, R. and Bandyopadhyay, T. EEG based Motor Imagery Classification using SVM and MLP. 2nd
International Conference on Computational Intelligence and Networks (CINE), 2016, 84-89.
[3]. Chen, X., Wang, Y., Gao, S., Jung, T.P. and Gao, X. Filter bank canonical correlation analysis for
implementing a high-speed SSVEP-based brain–computer interface. Journal of neural engineering 12 (4)
(2015).
[4]. Ehsan Kamrani, S.K.Hahn, S.H.Andy Yun (2015); Optical EEG (OEEG): A Novel Technique toward Plug
and Play Non-Invasive Brain Imaging and Human – Machine Interfacing.
[5]. Efficient Bio-Signal Feature Based Secure Secret Key Generation Scheme a Simplified Model for Wireless
Body Area Network (EFSKG Scheme)Authors: Karthikeyan, M. V.; Manickam, J. Martin Leo
[6]. A 128 Bit secret key generation using unique ECG Bio-Signal for Medical Data Cryptography in Lightweight
Wireless body area networks. M.V. Karthikeyan1 , J. Martin Leo Manickam2.
[7]. Raspberry Pi implemented with MATLAB simulation and communication of physiological signal-based fast
chaff point (RPSC) generation algorithm for WBAN systems. M. V. Karthikeyan Venkatesan Munive and
Tephillah Samraj
[8]. Secret key Generation of 128 Bit using Patient using ECG Signal and Secret Transmission for IMDS
Authentication using Steganography M.V.Karthikeyan1 , J.Martin Leo Manickam2
Copyright to IJARSCT DOI: 10.48175/IJARSCT-977 59
www.ijarsct.co.in
