medical-device-design

J.D. Sharp — Biomedical engineer building Physical AI-driven manufacturing systems for medical device design, surgical robotics, and electromechanical systems. ISO 13485 design control through clinical translation.

A biomedical signal processing engine in Python that simulates dual-wavelength Red/IR PPG optical signals, isolates AC/DC components, and maps empirical R-curves for continuous SpO2 extraction.

Low-power Analog Front-End (AFE) input stage for EEG applications featuring a high-CMRR Instrumentation Amplifier, active Right-Leg Drive (RLD) common-mode cancellation, and low-noise filtering. Modeled and simulated in LTspice.

A biomedical signal processing pipeline implementing the Pan-Tompkins algorithm in Python for automated QRS-complex peak detection and real-time Heart Rate Variability (HRV) metrics extraction.

A custom L1–L2 titanium interbody fusion cage designed for posterior fixation, featuring an anatomical wedge, chamfered edges, convex endplates with anti-migration teeth, and an oversized rectangular lattice intentionally scaled to allow bone in-growth and accommodate osteoinductive gel.