@inproceedings{aecc5269c12843d4a0ea90a67c4e1da9,
title = "Enhance the use of medical wearables through meaningful data analytics",
abstract = "Increasing wearable usage in healthcare faces the challenge in low long-term adoption partially due to a redundancy of devices and lack of meaningful uses of wearable technology. This paper aims at the reality needs to present a holistic view of data analytics and medical wearables; and clarify how to apply analytics techniques to a wearable problem or opportunity. The paper addresses the challenges related to undergoing data analytics with medical wearables, details how certain data mining and analytical techniques impact on processing wearable data, and outlines a framework developed for using data analytics with medical wearables data.",
keywords = "Data analytics, Medical wearables, Ubiquitous computing",
author = "Kurt Reifferscheid and Xiaokun Zhang",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2017.; 8th International Conference on Digital Human Modeling and Applications in Health, Safety, Ergonomics, and Risk Management, DHM 2017, held as part of 19th International Conference on Human-Computer Interaction, HCI 2017 ; Conference date: 09-07-2017 Through 14-07-2017",
year = "2017",
doi = "10.1007/978-3-319-58466-9_26",
language = "English",
isbn = "9783319584652",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "281--296",
editor = "Duffy, {Vincent G.}",
booktitle = "Digital Human Modeling",
}