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High-pass filter implementation of the Pan-Tompkins algorithm based on explicit difference equations, optimized for hardware-friendly design and validated in MATLAB using coefficient-based filtering for baseline wander removal in ECG signals.
Hardware-based 3-layer SNN prototype (3-2-1 architecture) using discrete 74LS series logic. Features event-driven temporal pattern recognition via 74LS161 integration and 74LS85 thresholding. Validated at 10kHz with asynchronous RC reset loops to mimic biological refractory periods. Developed as a standalone hardware neural inference engine.
Low-pass filter implementation of the Pan-Tompkins algorithm using explicit recursive coefficients, designed for MATLAB validation and direct translation to VHDL, aiming at noise reduction and QRS enhancement in ECG signals.