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Stream/Area:
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Paper ID:
IJSREM62048
Volume:
10 |
4 |
April 2026
Pages:
1-5
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Department of Electronics and Telecommunication Engineering
Anuradha College of Engineering and Technology, Chikhli, Dist. Buldana (M.S.) India, Sant Gadge Baba Amravati University, Amravati 444602, India
Department of Electronics and Telecommunication Engineering
Anuradha College of Engineering and Technology, Chikhli, Dist. Buldana (M.S.) India, Sant Gadge Baba Amravati University, Amravati 444602, India
EXTC
Anuradha College of Engineering and Technology, Chikhli
Department of Electronics and Telecommunication Engineering
Anuradha College of Engineering and Technology, Chikhli, Dist. Buldana (M.S.) India, Sant Gadge Baba Amravati University, Amravati 444602, India
Department of Electronics and Telecommunication Engineering
Anuradha College of Engineering and Technology, Chikhli, Dist. Buldana (M.S.) India, Sant Gadge Baba Amravati University, Amravati 444602, India
Department of Electronics and Telecommunication Engineering
Anuradha College of Engineering and Technology, Chikhli, Dist. Buldana (M.S.) India, Sant Gadge Baba Amravati University, Amravati 444602, India
Brain-Computer Interfaces (BCIs) represent a transformative technology enabling direct communication between the human brain and external computational systems without reliance on conventional neuromuscular pathways. This paper presents NeuroLink Pro v3.0, a complete non-invasive EEG/EOG-based BCI system utilizing the Upside Down Labs BioAmp EXG Pill v1.0 analogue front-end and the Arduino UNO R4 Minima microcontroller. A five-stage firmware-level signal processing pipeline implements adaptive baseline tracking, deviation computation, hysteresis-protected threshold comparison, and temporal double-blink classification at 250 Hz. The NeuroLink Pro v3.0 Electron desktop application delivers eleven BCI-controlled functional modules spanning communication, productivity, entertainment, and clinical data infrastructure. Systematic evaluation yielded single-blink detection accuracy exceeding 99%, double-blink detection exceeding 98%, 0% false-positive rate over 2-minute quiet rest intervals, and end-to-end latency below 50 ms. All eleven modules achieved 100% PASS rate in structured testing. Hardware implementation employs three disposable Ag/AgCl surface electrodes in a differential bipolar configuration, achieving electrode-skin impedance below 10 kΩ and instrumentation amplifier common-mode rejection exceeding 80 dB, ensuring high signal-to-noise ratio under real-world conditions. Auto-calibration autonomously computes the detection threshold from 750 ADC rest samples within 3 seconds, eliminating the manual parameter tuning required by prior systems. The four-tier layered software architecture spanning hardware acquisition, embedded firmware, Electron host application, and user interface—communicates via unidirectional serial interfaces at 250Hz to maintain sub-50 ms end-to-end latency. The complete system is realizable at approximately USD 50 in commodity hardware, representing a significant step toward democratizing assistive BCI technology for the estimated 75 million individuals worldwide living with severe motor disabilities including ALS, spinal cord injury, cerebral palsy, and locked-in syndrome.
KEYWORDS
7.1 Summary of Achievements NeuroLink Pro v3.0 has been presented as a complete non-invasive EEG/EOG-based BCI system achieving all stated objectives. The five-stage firmware pipeline achieves >99% single-blink detection, >98% double-blink detection, 0% false-positive rate over 2-minute rest intervals, and <50 ms end-to-end latency. All eleven Electron application modules passed structured testing — a 100% module-level pass rate. The system demonstrates that zero-training, rapidly deployable BCI assistive technology matching research-grade performance is achievable with commodity hardware (~USD 50 total). This is a meaningful contribution toward making BCI accessible to the 75 million individuals worldwide with severe motor disabilities [3].
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Publication Date
4/30/2026
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