Release Notes: Multi-Modal Patient Monitoring#

Version 1.0.0 - March 25, 2026#

This is the initial release of the application, therefore, it is considered a preview version.

Multi-Modal Patient Monitoring showcases how a single Intel-powered edge system can simultaneously run computer vision, physiological signal processing, artificial intelligence inference, and real-time medical device telemetry — all within one integrated dashboard.

It proves that heterogeneous workloads — from 3D human pose estimation to heart-rate extraction, AI-based ECG analysis, and medical device simulation — can coexist efficiently on one platform without compromising performance or stability.

New

The initial feature set of the application is now available:

  • Heart and respiratory rate monitoring

  • Integration with medical devices

  • Pose estimation with joint tracking

  • ECG analysis with 12-lead classification

Known issues

  • Docker fails with the gathering device information error.

    This may happen on systems without NPU. NPU is optional for use but is still defined as a possible accelerator in the image setup.

    To work around the issue, in docker-compose.yaml, remove the device by commenting out the following lines, like so:

    # devices:
#   - /dev/dri
#   - /dev/accel
#   - /dev/accel/accel0