VSCC Studio — a live web dashboard + research database built on VSCapture, MQTT, SciChart & TimeseriesDB #745

chris (2026-06-12 21:52) · 6 view(s)

Hi all, I've been building VSCC (VitalSignsCapture + Charts) — an open-source stack that puts a live web dashboard and a research-grade time-series database on top of VSCapture by John George K.

VSCapture does the hard part (talking to the monitor); VSCC handles visualization, storage, and export so the data is easy to watch live and analyze later.

Full credit and thanks to John — VSCC depends on VSCapture and the installer pulls the latest release automatically. It's running against a Philips IntelliVue MP50 over LAN.

What it gives you:

Live 60 FPS waveforms in the browser (WebGL/SciChart) — ECG, Pleth, Respiration, EEG, BIS — plus every numeric the monitor exports (SpO₂, HR, NIBP, RR, BIS index…).

New monitor modules are auto-discovered, no code change. Session recording, like a case recorder — auto-starts when data flows, or start/stop a named session with subject code + notes.

Research exports — CSV, Parquet, and EDF (one channel per signal, for EDFbrowser / MNE / biosignal toolchains), plus per-session data-loss statistics (measured sample rates, expected vs. actual samples, gaps).

Configure the VSCapture capture service from the browser — monitor IP, interval, waveset, scale.

One command to run it all (Docker, multi-arch — Linux/macOS/Windows/Raspberry Pi).

Data stays local on your network (MQTT/EMQX + TimescaleDB).

Already have VSCapture recordings? The dashboard can replay exported files (*WaveExport.csv + JSON numerics) directly in the browser — so you can try it on your own data with no backend and no hardware.

Install (one line): wget -qO- https://raw.githubusercontent.com/chsbusch-dot/vscc-mqtt-server/main/install_backend.sh | bash

Then open http://<;host>/ and press PLAY LIVE.</host>

GitHub: Backend (start here): https://github.com/chsbusch-dot/vscc-mqtt-server

Dashboard (VSCC Studio): https://github.com/chsbusch-dot/vscc-dashboard-client

Both repos are MIT-licensed.

It's early and I'd genuinely value feedback — especially from anyone capturing other IntelliVue models or other vendors VSCapture supports.

 

On the near-term roadmap: a hardware-free demo/replay mode and derived HRV metrics. Happy to answer anything.

Research/education only — not a medical device. Keep captured telemetry (possible PHI) on your own network.

Feedback welcome.