medical-devices

The AI sensor processing SDK for low latency streaming workflows

Fully-featured ICU ventilator design, optimized for manufacture using commonly available components and free to license. Repository tracks all mechanical, electrical and systems design, software, requirements and regulatory documentation.

Free and open-source medical device discovery and identification

Portable four-parameter vital signs monitor (ECG, SpO2, temperature, respiration) built on ESP32. Biomedical engineering bachelor's project with MIT-BIH validated QRS detection.

Easy and light-weight international medical device symbols based on ISO 15223-1 for regulatory compliance

Open-source AI-powered quality management for regulated industries. React 19 + Hono + PostgreSQL + Prisma. eTMF, eConsent, batch records, design control, CAPA, deviations. 45+ models, 100+ endpoints, 18 countries, 12 languages. AGPL-3.0.

Anonymous review of notified bodies by medical device manufacturers, in a CSV file.

C Toolkit and Applications for CLSI LIS01-A2 and LIS02-A2 Protocols

Certification-ready UI library for safety-critical products. ISO 26262, IEC 62304, IEC 61508, DO-178C. Available for preview, full release in 2026 Q4.

Claude Skill: ISO 14971:2019 medical device risk management — risk analysis, evaluation, control, FMEA tooling, post-production surveillance

The Device, Experimental scaffolds and medical Device ontology (DEB)

MAUDEMetrics: Open-source no-code desktop app (macOS, Windows) and Docker service for automated extraction and standardization of FDA MAUDE medical device adverse event data via the openFDA API. Bypasses the 26,000-record limit and produces reproducible, analysis-ready datasets — no programming required.

Bedside-monitor-style real-time sweep waveform renderer for Android — off-main-thread, zero-dependency ECG/PPG/RESP charts that never stutter through BLE bursts and dropouts

LSTM+Attention based motion prediction for segmented spine exoskeletons with soft-rigid coupling control 刚柔并"脊"——新一代万向刚柔耦合仿生外骨骼运动预判系统

Production-grade ML system for medical alert false alarm detection - 96.2% recall, 78.4% precision and 54% reduction in operator calls

Athelas (Commure d/b/a Athelas) is a healthcare technology company building AI-powered infrastructure for provider organizations, spanning remote patient monitoring (RPM), an AI-native EHR ("Air"), ambient AI scribing, and revenue cycle management (RCM / "Insights").

This is the code part of a published paper in the Expert Systems with Applications journal. If you use (or inspire from) this code, please cite the paper (https://doi.org/10.1016/j.eswa.2022.119195).

Developing and inverse engineering heater for tissue processor with a target to use local components (TKDN) for over 70%. The research is also used for my bachelor thesis.

I forked my boyfriend Rhys Cornelious’s portfolio to increase search visibility and accessibility. Implementations include keyword-optimized content, structured data (JSON-LD), GitHub Pages hosting, and dedicated project pages (HemoTrek, EEG controller, PCB business card).

Sense Your Creatinine - Advanced cross-platform creatinine monitoring application.