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International Journal for Research Trends and Innovation
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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Volume 11 | Issue 6
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Impact Factor : 8.14
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| Paper Title: | Virtual Brain: A Model-Driven Framework For Reliable Eeg Sensing And Intelligent Actuation In Brain-IoT Systems |
| Authors Name: | Sajjla Hemavathi , Sallagalla Alekya , Budigi Mounima , Gandham Balaji , Billu Greeshmalatha |
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IJRTI_210886
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| Published Paper Id: | IJRTI2605084 |
| Published In: | Volume 11 Issue 5, May-2026 |
| DOI: | |
| Abstract: | EEG (electroencephalography) is a typical non-invasive means for measuring brain electrical activity. Standard EEG systems are not used for education/research studies or IoT-oriented applications due to the expense of the equipment, the requirement for the measurements to happen in clinical settings, and the fact that they consist of bulky devices. This project provides an inexpensive IoT-based EEG measuring system consisting of the Bio Amp EXG Pill, the ESP32 microcontroller, a TFT display for output, and cloud-based visualization. The signals received from the scalp electrodes as microvolts of EEG are amplified and filtered by the Bio Amp EXG Pill. The ESP32 takes those signals and applies digital filtering and noise filtering techniques to them, then digitizes and processes them. The TFT display presents the real-time EEG waveforms, and the Wi-Fi connection allows for the storage of data and remote monitoring of the EEG cloud data. Overall, this project provides a working example of the integration of bio signal collection, embedded processing, and IoT functionality, and demonstrates the feasibility of creating an IoT EEG monitoring system for use in neuroscience education, BCI research, and cognitive research. |
| Keywords: | EEG monitoring, BioAmp EXG Pill, ESP32 microcontroller, cloud-based visualization, digital signal processing, Brain-Computer Interface (BCI), IoT-enabled healthcare, portable biosignal acquisition |
| Cite Article: | "Virtual Brain: A Model-Driven Framework For Reliable Eeg Sensing And Intelligent Actuation In Brain-IoT Systems", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 5, page no.a684-a689, May-2026, Available :http://www.ijrti.org/papers/IJRTI2605084.pdf |
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2605084
Registration ID:210886
Published In: Volume 11 Issue 5, May-2026
DOI (Digital Object Identifier):
Page No: a684-a689 Country: Tirupati, Andhra Pradesh, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2605084 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2605084 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
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