Hypoalert: Designing mobile technology for hypoglycemic detection and monitoring—based on human breath

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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of the 12th EAI International Conference on Pervasive Computing Technologies for Healthcare, 2018
EditorsNoga Minsky, Venet Osmani
DOIs
StatePublished - 2018
Event12th EAI International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth 2018 - New York, United States
Duration: May 21 2018May 24 2018

Publication series

NamePervasiveHealth: Pervasive Computing Technologies for Healthcare
ISSN (Print)2153-1633

Conference

Conference12th EAI International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth 2018
Country/TerritoryUnited States
CityNew York
Period5/21/185/24/18

Bibliographical note

Publisher Copyright:
© 2018 Association for Computing Machinery.

Funding

This work is supported by a NSF/SCH grant:#1502310. See: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1502310

FundersFunder number
National Science Foundation Arctic Social Science Program
Seattle Children’s Hospital1502310

    Keywords

    • Data visualization
    • Diabetes, Breathing sensor
    • Hypoglycemia
    • Interface
    • Mobile health

    ASJC Scopus subject areas

    • Information Systems
    • Health Informatics
    • Computer Networks and Communications
    • Computer Science Applications

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