Convergent Engineering


Convergent Engineering focuses on applying advanced technology, signal processing, and machine intelligence to biomedical applications. It develops and commercializes innovative medical devices and has a history of creating FDA-cleared products, licensing technology to major healthcare companies, and spinning off specialized companies. Its mission is to improve patient care through intelligent medical device solutions.

Industries

medical-device

Nr. of Employees

small (1-50)

Convergent Engineering

Newberry, Florida, United States, North America


Products

VentAssist decision support system

A machine-intelligence-based decision support system for mechanical ventilation that estimates respiratory mechanics and recommends ventilator settings.

LaborView fetal monitoring system

Fetal monitoring enabled by advanced signal processing to extract fetal heart rate and related metrics from abdominal electrode recordings.

Ingestible sensor medication adherence system

Miniaturized ingestible sensor integrated into a capsule that generates an RF signal in the GI tract detected by an external reader to confirm ingestion.


Services

Clinical decision support and machine intelligence

Development of CDS systems that apply machine intelligence to monitor patients and recommend therapy adjustments.

Medical device design, engineering, and prototyping

End-to-end device engineering including physiologic modeling, hardware/software integration, and prototype development.

Contract engineering and collaborative R&D

Contract engineering services and R&D collaborations to advance device concepts toward commercialization.

Biomedical digital signal processing services

Development of signal-processing algorithms for extraction of clinically relevant metrics from physiologic sensors and waveforms.

Expertise Areas

  • Clinical decision support
  • Biomedical signal processing
  • Medical device design and prototyping
  • Ingestible sensor technology and GI telemetry
  • Show More (5)

Key Technologies

  • Machine learning (neural networks)
  • Fuzzy logic decision systems
  • Biomedical digital signal processing
  • Physiologic modeling
  • Show More (5)

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