Hypoalert: Designing Mobile Technology For Hypoglycemic Detection And Monitoring-Based On Human Breath

Anthony Faiola,Haleh Vatani, Kate Greenhill, Manjula Bhuma,Mangilal Agarwal

PROCEEDINGS OF THE 12TH EAI INTERNATIONAL CONFERENCE ON PERVASIVE COMPUTING TECHNOLOGIES FOR HEALTHCARE (PERVASIVEHEALTH 2018)(2018)

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摘要
Hypoglycemia (HYPO) is characterized by low blood glucose (BG)-leading to complications such as sweating, weakness, passing-out, coma, and even death. Effective HYPO management is required to avoid complications and to increase quality of life. Recently, a noninvasive smart breathing sensor was developed for detection of HYPO in human breath (HYPOalert). The device has the ability to deliver data (via Bluetooth) to a mobile application-with the intent to support Type 1 and 2 diabetics with the self-management of their hypoglycemia. This paper presents the first two (prototype) design iterations of research and testing of HYPOalert. Twelve Type 1 and 2 diabetics were interviewed to deduce user requirements and to understand their perception and level of interest in the proposed mobile system. Outcomes informed a human-centered design process of the interactive prototype, currently under final testing. Results were positive-showing that users were very interested in HYPOalert's use of visualization, as well as its HYPO monitoring and alert system that supports diabetes patients' healthy lifestyle management.
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关键词
Hypoglycemia, Diabetes, Breathing sensor, Mobile health, Interface, Data visualization
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