5G-HEART: Pillcam

Overview of 5G-HEART: Pillcam

This demonstration and trial focus on testing real-time transmission with feedback control of a colon capsule (PillCam) to improve diagnosis. Colon cancer is the second most common cause of cancer mortality for both men and women. It is a cancer type where early detection is of clear value. Using wireless technology to connect medical implantable devices to a cloud provides a high impact on monitoring health information.

The use case covers:

• Implementing a high data rate wireless capsule endoscope (WCE) bridging the video data to the cloud by means of a 5G network, enabling data processing, AI analysis for decision-making support and feedback control from the cloud.
• An external body reader device Wireless Capture System (WCS) is used to transmit the RF signal and read the video signal in real time. The WCS system will bridge to a 5G network for the transmission of capsule image data to our medical cloud.
• Real-time image processing is conducted using cloud computing and artificial intelligence (AI) methods, with the aim of making automatic, fast, and reliable diagnoses and detections.
• Real-time communication, image processing and analysis with low latency protocols enable adjustment of the capsule’s sensor setting such as light intensity, spectrum and camera resolution to obtain high-quality images for reliable detection of gastric disease such as polyps, bleeding, etc.
• the bridging between the implant and the 5G network enables the application of cloud-based AI analysis for accurate therapy, diagnosis and decision support.

Use Case Data Summary

Locations: Oslo, Norway

Dates: Q1-2021, Q3-2022

Partners involved: Oslo University Hospital (Norway), Telenor (Norway)

Funding reference: Horizon 2020; ICT-19-2019 - Advanced 5G validation trials across multiple vertical industries

Funding cycle: June 2019-November 2022

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