Medical Device And Healthcare Engineering For Cardiac Diagnostics Startup

Discover The Projects

Cardiac Diagnostics Startup works at the boundary of healthcare and engineering, where measurement integrity and device behavior under realistic conditions matter more than checklists. Test infrastructure has to produce data clinicians and engineers will actually trust.

Good Automation engaged across 4 projects spanning data acquisition, software. Each scope was treated as production-grade work: clean architecture, structured V&V where required, and documentation the customer's own engineers could pick up and extend.

Novel EKG device data logging system Phase 1

Developed the initial data logging and playback system for a novel EKG device employing wavelet and Fourier analysis to detect cardiac blockages and disease states in vivo.

EKG signal analysis data logging system Phase 2

Extended the data logging system with enhanced signal processing, expanded data channels, and improved playback fidelity for the novel EKG device characterization.

EKG diagnostic data system V&V Phase 3 completion

Completed the third phase of the data logging system with full verification and validation capabilities for the diagnostic EKG device.

EKG data logging system assembly

Assembled and deployed five complete data logging and playback systems for parallel EKG device characterization and testing.

Trusted by

Medtronic GD Energy Products Bell Helicopter Johnson & Johnson GE Healthcare Halliburton Shell Stryker Alcon Abbott Qorvo Qualcomm Keysight Technologies National Instruments MIT Oak Ridge National Lab Ethicon Bridgestone IBM U.S. Department of Energy Georgia Tech Stanford University University of Texas at Austin Verb Surgical Berkeley Lab Pacific Northwest Lab Hewlett Packard Enterprise Gardner Denver Lockheed Martin

Project Highlights

  • 4-project engagement covering complementary scopes under one engineering relationship.
  • Capability mix: Data Acquisition, Medical Device.
  • Engineering scoped to the customer's actual operating context: measurement integrity and device behavior under realistic conditions, without overlaying regulatory boilerplate that did not apply to this engagement.