Ronald Deang Email & Phone Number

Detroit, Mi, Us

Dexter, Mi

Ypsilanti, Mi

Product development for an NIH funded implanted cardiac pressure sensing system.•Performing data analysis to verify accuracy of implants subjected to simulated use conditions.•Designing and performing verification and validation testing for system software and hardware.•Coordinating, assisting, and troubleshooting regulatory compliance testing with third party test labs.•Supporting and training personnel for animal studies in conjunction with University of Michigan.

Chantilly, Va

Development of software and hardware for medical devices focusing on intravenous fluid warming. Interfacing with clients for contract based development work.•Brought software design in-house, resulting in cost savings by eliminating contracted work and allowing for greater control over end product.•Took ownership of software design of next generation fluid warming cabinet incorporating heater control, device communications, and UI development, resulting in performance and aesthetic improvements over previous version of product.•Shifted development focus from utilizing off the shelf components to custom built hardware by leading design of PCBs, reducing component costs as well as allowing for greater control and customization of end product.•Contributed to design of next generation fluid warming cabinets by designing PCBs using Microchip PIC18 and PIC32 series microcontrollers. Development, from component sourcing to electrical schematic design, resulted in modular redesign simplifying device assembly and future repair.•Gained experience with IEC 60601-1 3rd Edition by visiting nationally recognized test labs to witness and troubleshoot compliance testing•Assisted in re-design of existing products from companies including Ecolab and Smisson-Cartledge Biomedical, resulting in a wider range of products for manufacturing and sales force.

Ann Arbor, Mi

Development of signal processing algorithm for low cost dialysis access monitoring device. Device intended to monitor blood flow through accesses and ultimately predict access failures.•Tested algorithm against measurements taken on flow phantom laboratory setup as well as validated clinical data.•Performed data analysis using MATLAB through FFT frequency analysis.