PsychMatrix: Advanced Interactive Control

Started in October 2024, PsychMatrix is my final year biomedical and electronics engineering project that represents my work in Bangladesh in developing brain-computer interface technology. This stems from my interest in biomedical engineering and the challenge of creating thought-controlled device applications.

PsychMatrix is designed to detect imaginary motor commands and translate them into control signals for external devices. The system aims to control a mini car through thought patterns, demonstrating BCI capabilities for real-world applications.

Looking forward, this work aims to show that effective neural interface systems can be built with determination and resourcefulness, potentially inspiring others to pursue innovative human-machine interface technologies.

One part of the project that uses PCBs extensively is the signal processing system: The PsychMatrix platform is composed of two distinct PCB circuits - an analog frontend circuit and an FPGA processing unit circuit.

1. Analog Frontend Circuit

Its role is to acquire and condition EEG brain signals from multiple channels. It includes differential amplifiers for brain signal capture, precision analog filters for noise reduction, and multi-rail power management for clean biomedical signal processing. The circuit operates with low-noise design principles and incorporates medical-grade components for accurate signal measurement.

2. FPGA Processing Circuit

This circuit board features an FPGA development platform for real-time digital signal processing. It includes high-speed ADC interfaces for signal conversion, communication ports for data streaming, status LED indicators, and power management circuits. It allows for real-time filtering, frequency analysis, and pattern recognition of EEG signals with low-latency processing capabilities.

The project would greatly benefit from PCBWay's support. As someone working on a biomedical and electronics engineering project, I am facing challenges in sourcing and manufacturing professional 4-layer PCBs within budget and timeline constraints. Quick turnaround capabilities would allow me to complete this brain-computer interface project successfully within my academic timeline.

PCBWay's support would enable me to develop effective brain-computer interface technology and demonstrate practical applications of thought-controlled devices. I am excited about the opportunity to collaborate with PCBWay and achieve my project goals through your support.