Quality Analysis of Sensors Data for Personal Health Records on Mobile Devices

John Puentes (Corresponding author), Julien Montagner, Laurent Lecornu, Jaakko Lähteenmäki

    Research output: Chapter in Book/Report/Conference proceedingChapter or book articleProfessional

    6 Citations (Scopus)

    Abstract

    Data collected by multiple physiological sensors are being increasingly used for wellness monitoring or disease management, within a pervasiveness context facilitated by the massive use of mobile devices. These abundant complementary raw data are challenging to understand and process, because of their voluminous and heterogeneous nature, as well as the data quality issues that could impede their utilization. This chapter examines the main data quality questions concerning six frequently used physiological sensors - glucometer, scale, blood pressure meter, heart rate meter, pedometer, and thermometer -, as well as patient observations that may be associated to a given set of measurements. We discuss specific details that are either overlooked in the literature or avoided by data exploration and information extraction algorithms, but have significant importance to properly preprocess these data. Making use of different types of formalized knowledge, according to the characteristics of physiological measurement devices, relevant data handled by a Personal Health Record on a mobile device, are evaluated from a data quality perspective, considering data deficiencies factors, consequences and reasons. We propose a general scheme for sensors data quality characterization adapted to a pervasive scenario.
    Original languageEnglish
    Title of host publicationPervasive health knowledge management
    EditorsRajeev Bali, Indrit Troshani, Steve Goldberg, Nilmini Wickramasinghe
    Place of PublicationNew York
    PublisherSpringer
    Pages103-133
    ISBN (Electronic)978-1-4614-4514-2
    ISBN (Print)978-1-4614-4513-5, 978-1-4899-8782-2
    DOIs
    Publication statusPublished - 2013
    MoE publication typeD2 Article in professional manuals or guides or professional information systems or text book material

    Publication series

    SeriesHealthcare Delivery in the Information Age
    ISSN2191-5946

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