2014
DOI: 10.15265/iy-2014-0019
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What Does Big Data Mean for Wearable Sensor Systems?

Abstract: SummaryObjectives:The aim of this paper is to discuss how recent developments in the field of big data may potentially impact the future use of wearable sensor systems in healthcare. Methods: The article draws on the scientific literature to support the opinions presented by the IMIA Wearable Sensors in Healthcare Working Group. Results: The following is discussed: the potential for wearable sensors to generate big data; how complementary technologies, such as a smartphone, will augment the concept of a wearab… Show more

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Cited by 36 publications
(6 citation statements)
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“…Approaches for semi-automatic verification of data quality derived from ICT-based RWE procedures are the subject of active research. Specific problems of data quality for wearable sensors may, for instance, arise from poor device placement [ 75 ] and lack of a gold standard. In addition, a low signal-to-noise ratio may blur signal structure.…”
Section: Requirements For Rwe Obtained By Sensor Technologymentioning
confidence: 99%
“…Approaches for semi-automatic verification of data quality derived from ICT-based RWE procedures are the subject of active research. Specific problems of data quality for wearable sensors may, for instance, arise from poor device placement [ 75 ] and lack of a gold standard. In addition, a low signal-to-noise ratio may blur signal structure.…”
Section: Requirements For Rwe Obtained By Sensor Technologymentioning
confidence: 99%
“…There are a variety of passive monitoring projects for bipolar disorder, mostly in the pilot phase, with examples shown in Table 5 . The implementation of routine passive monitoring for large numbers of patients faces many hurdles, including patient acceptance, physician usability, and processing large volumes of data from sensors (Redmond et al 2014 ; Muench 2014 ). Many passive monitoring projects involve smartphones.…”
Section: Data Sources From Patients and Non-providersmentioning
confidence: 99%
“…Many passive monitoring projects involve smartphones. Both the differing physical characteristics of the standard devices available to consumers such as sensor accuracy and memory size, and methods selected for analysis may impact the findings (Banaee et al 2013 ; Redmond et al 2014 ). The sales of smartphones are flat in developed countries with saturation reached, and usage patterns vary among countries (Thomas 2014 , Waters 2015 ).…”
Section: Data Sources From Patients and Non-providersmentioning
confidence: 99%
“…However, the reality of the growth in the “wearables” industry (e.g., Fitbit or Apple Watch) has vastly outstripped any standardization efforts (Redmond et al, 2014), which suggests that the initial sets of apps for these data streams will remain confined to their respective platforms and also integrate with EHR data in very limited ways. Patient-driven open data efforts (Chiauzzi et al, 2015) may be required to enforce cross-platform standardization.…”
Section: Figurementioning
confidence: 99%