title: A Database as a Service for the Healthcare System to Store Physiological Signal Data.
abstract: Wearable devices that measure physiological signals to help develop self-health management habits have become increasingly popular in recent years. These records are conducive for follow-up health and medical care. In this study, based on the characteristics of the observed physiological signal records- 1) a large number of users, 2) a large amount of data, 3) low information variability, 4) data privacy authorization, and 5) data access by designated users-we wish to resolve physiological signal record-relevant issues utilizing the advantages of the Database as a Service (DaaS) model. Storing a large amount of data using file patterns can reduce database load, allowing users to access data efficiently; the privacy control settings allow users to store data securely. The results of the experiment show that the proposed system has better database access performance than a traditional relational database, with a small difference in database volume, thus proving that the proposed system can improve data storage performance.
authors.affiliation: Department of Computer Science and Information Engineering, Chang Gung University, Taoyuan, Taiwan.|Department of Physical Medicine and Rehabilitation, Chang Gung Memorial Hospital, Taoyuan, Taiwan.
authors.forename: Hsien-Tsung
authors.identifier: http://orcid.org/0000-0003-4987-5943
authors.initials: HT
authors.lastname: Chang
authors.affiliation: Department of Computer Science and Information Engineering, Chang Gung University, Taoyuan, Taiwan.
authors.forename: Tsai-Huei
authors.initials: TH
authors.lastname: Lin
mesh_terms: D016208:Databases, Factual; D003695:Delivery of Health Care / Q000706:statistics & numerical data*; D006801:Humans; D016247:Information Storage and Retrieval; D010829:Physiological Phenomena