OBJECTIVE MEASURES

RDT TEST STRIPS

In partnership with Audere we have developed automated RDT reading for flu test strips which includes image acquisition, detection and analysis. The system runs on an Android-based phone with an optional back-end service.

 

The algorithms developed within this project can identify and analyze test strips at various scales, rotations, lighting conditions and can aid in situations where less trained professionals cannot accurately interpret the results. It also enables the capture of a digital record of an RDT reading, whether anonymized or personalized, which enables real-time surveillance at scale, for example. Most RDT readings are lost to paper record logs or disconnected digital systems.

Our image enhancement technique is able to read lines on test strips that may be too light or faint for a healthcare worker to accurately interpret. 

Original image of test strip

Image enhanced to interpret the blue control line

Image enhanced to interpret the red line indicating a positive flu test

IPRD Solutions, in partnership with Audere we have developed automated RDT reading for flu test strips which includes image acquisition, detection and analysis. The system runs on an Android-based phone with an optional back-end service.

ACCELERATING INTEROPERABILITY OF CAPABILITIES

E.G. HEART RATE DETECTION

Traditional medical diagnostic devices are beginning to be replaced by more flexible, off the shelf, mobile devices. For example, to the right is a heart rate detection tool (developed by Conrad Tucker at CMU) which uses video from a mobile phone to detect the human pulse. Typically such capabilities remain isolated and are not useful by themselves.  We are developing FHIR-based standards for such emerging capabilities that make it easier for developers to integrate them and other capabilities into total solutions that are then capable of scale.

[IPRD Solutions Objective Measures] A heart rate detection tool (developed by Conrad Tucker at CMU) which uses video from a mobile phone to detect the human pulse. Typically such capabilities remain isolated and are not useful by themselves.  We are developing FHIR-based standards for such emerging capabilities that make it easier for developers to integrate them and other capabilities into total solutions that are then capable of scale
IPRD Solutions a heart rate detection tool (developed by Conrad Tucker at CMU) which uses video from a mobile phone to detect the human pulse. Typically such capabilities remain isolated and are not useful by themselves.  We are developing FHIR-based standards for such emerging capabilities that make it easier for developers to integrate them and other capabilities into total solutions that are then capable of scale