Recent advances in wearable computing devices such as smart glasses provide new opportunities for performing various diagnostic tasks. We demonstrate the ability for one such smart device, the Google Glass, to perform qualitative decisions and quantitative measurements on lateral flow immunochromatographic diagnostic tests using a hands-free voice-controllable rapid diagnostic test (RDT) reader software application without any external hardware attachments. After users run our application to image RDTs with attached Quick Response (QR) code identifiers generated though a web tool, the images are digitally transferred to our servers for automated evaluation of all RDTs in the image. The resulting diagnoses are returned to the user's Glass device and made available along with their QR code data and other associated information (e.g. geographic) on a central server, which provides the test results via tabular and geospatial (i.e., world map with geo-tagged data) representations. We demonstrate this system's ability to evaluate qualitative (i.e., yes/no) human immunodeficiency virus (HIV) and quantitative prostate-specific antigen (PSA) tests. For the quantitative PSA tests, we imaged and measured both Free and Total PSA tests at concentrations ranging from 0 to 200 ng/mL and generated calibration curves mapping image line intensities to absolute PSA concentrations. Providing real-time spatiotemporal tracking of various diseases and medical conditions, hands-free sensing and imaging platforms on wearable computing devices such as Google Glass could prove quite useful for epidemiology, mobile health and telemedicine applications.

Google Glass based immunochromatographic diagnostic test analysis

248th National Meeting (2014)

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