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Thesis (MEng)--Stellenbosch University, 2023.
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| Format: | Thesis |
| Language: | en_ZA en_ZA |
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Stellenbosch : Stellenbosch University
2023
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| _version_ | 1867613755873951744 |
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| access_status_str | Open Access |
| author | Zietsman, Pieter |
| author2 | Van Rooyen, Gert-Jan |
| author_browse | Van Rooyen, Gert-Jan Zietsman, Pieter |
| author_facet | Van Rooyen, Gert-Jan Zietsman, Pieter |
| author_sort | Zietsman, Pieter |
| collection | Thesis |
| dc_rights_str_mv | Stellenbosch University |
| description | Thesis (MEng)--Stellenbosch University, 2023. |
| format | Thesis |
| id | oai:scholar.sun.ac.za:10019.1/126917 |
| institution | Stellenbosch University (South Africa) |
| language | en_ZA en_ZA |
| last_indexed | 2026-06-10T12:41:10.692Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from SUNScholar — Stellenbosch University Repository |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | Stellenbosch : Stellenbosch University |
| publisherStr | Stellenbosch : Stellenbosch University |
| record_format | dspace |
| source_str | SUNScholar — Stellenbosch University Repository |
| spelling | oai:scholar.sun.ac.za:10019.1/126917 A design proposition for an IoT health data collection system using smart wearable devices Zietsman, Pieter Van Rooyen, Gert-Jan Bam, Louzanne Stellenbosch University. Faculty of Engineering. Dept. of Industrial Engineering. Internet of things Wearable technology Automatic data collection systems Health -- Data processing Physical fitness -- Monitoring Thesis (MEng)--Stellenbosch University, 2023. ENGLISH ABSTRACT: The Internet of Things (IoT) is a collection of numerous devices, sensors, and technological advancements that enables a large number of people with smart devices to be connected through the internet for gathering valuable data. Smartphones and smartwatches are increasingly being used as entry points into the world of IoT. With the increasing uptake of these smart devices, numerous opportunities arise to leverage them for participant health data collection in research studies. One potential application area for using smartwatches and smart bands could be research studies that involve the monitoring of influenza-like illnesses (ILI). Health data gathered from participants could prove valuable to researchers and medical professionals for tracking the progression of these diseases. However, from a high-level overview of prior research studies, a common field problem could be identified from the viewpoint of design science research. There is a lack of guidance for researchers on how to leverage the Internet of Things, particularly wearable technology, for participant health data collection in support of large-scale research studies. This research delivers a design proposition in the form of a field-tested and grounded generic solution that effectively collects participant health data for research purposes. In addition, this research immerses into the research field of ILI monitoring by using smartwatches and smart bands as data-gathering devices along with self-reported participant data. The design proposition comprises a reference design for an IoT-based digital-health data collection system and the design of a concept demonstrator mobile application as a tool for use in the data collection system to facilitate the collect participant health data. The solution-oriented design approach employs design requirements formulated based on the literature topics in the field. The proposition is supported by a detailed set of requirement specifications derived from the knowledge and insights obtained through extensive field testing of the app and the system. Field testing is conducted by self-verifying the specifications of the concept demonstrator app and validating the effectiveness of the IoT health data collection system by conducting alpha and beta testing. Beta testing is carried out by recruiting participants to use the system to obtain sufficient evidence and feedback on the system’s effectiveness. AFRIKAANS OPSOMMING: Die Internet van Dinge (IoT) is ’n versameling van talle toestelle, sensors en tegnologiese vooruitgang wat ’n groot aantal mense met slimtoestelle in staat stel om deur die internet gekoppel te word vir die insameling van waardevolle data. Slimfone en slimhorlosies word toenemend gebruik as toegangspunte tot die wˆereld van IoT. Met die toenemende gebruik van hierdie slimtoestelle, ontstaan talle geleenthede om hulle te benut vir die insameling van deelnemergesondheidsdata in navorsingstudies. Een potensi¨ele toepassingsgebied vir die gebruik van slimhorlosies en slimbande kan navorsingstudies wees wat die monitering van griepagtige siektes (ILI) behels. Gesondheidsdata wat van deelnemers ingesamel is, kan waardevol wees vir navorsers en mediese beroepslui om die vordering van hierdie siektes op te spoor. Uit ’n ho¨evlakoorsig van vorige navorsingstudies kan ’n algemene veldprobleem egter vanuit die oogpunt van ontwerpwetenskapnavorsing ge¨ıdentifiseer word. Daar is ’n gebrek aan leiding vir navorsers oor hoe om die internet van dinge te benut, veral draagbare tegnologie, vir die insameling van elnemergesondheidsdata ter ondersteuning van grootskaalse navorsingstudies. Hierdie navorsing lewer ’n ontwerpvoorstel in die vorm van ’n veldgetoetste en gegronde generiese oplossing wat deelnemergesondheidsdata effektief vir navorsingsdoeleindes insamel. Daarbenewens verdiep hierdie navorsing die navorsingsveld van ILI-monitering deur slimhorlosies en slimbande te gebruik as data-insamelingstoestelle saam met self-gerapporteerde deelnemerdata. Die ontwerpvoorstel bestaan uit ’n verwysingsontwerp vir ’n IoT-gebaseerde digitalegesondheid- data-insamelingstelsel en die ontwerp van ’n konsep demonstreerder mobiele toepassing as ’n hulpmiddel wat in die stelsel gebruik moet word om die insameling van deelnemergesondheidsdata te fasiliteer. Die oplossingsgerigte ontwerpbenadering maak gebruik van ontwerpvereistes wat geformuleer is op grond van die literatuuronderwerpe in die veld. Die voorstel word ondersteun deur ’n gedetailleerde stel vereiste spesifikasies afgelei van die kennis en insigte verkry deur uitgebreide veldtoetsing van die toepassing en die stelsel. Veldtoetse word uitgevoer deur die spesifikasies van die konsep demonstreerder-toep self te verifieer en die doeltreffendheid van die IoT-gesondheidsdata-insamelingstelsel te bekragtig deur alfa- en beta-toetse uit te voer deur deelnemers te werf om die stelsel te gebruik en voldoende bewyse van die stelsel se doeltreffendheid te verkry. Masters 2023-01-26T08:46:47Z 2023-05-18T06:55:43Z 2023-01-26T08:46:47Z 2023-05-18T06:55:43Z 2023-01 Thesis http://hdl.handle.net/10019.1/126917 en_ZA en_ZA Stellenbosch University xix, 197 pages : illustrations application/pdf Stellenbosch : Stellenbosch University |
| spellingShingle | Internet of things Wearable technology Automatic data collection systems Health -- Data processing Physical fitness -- Monitoring Zietsman, Pieter A design proposition for an IoT health data collection system using smart wearable devices |
| title | A design proposition for an IoT health data collection system using smart wearable devices |
| title_full | A design proposition for an IoT health data collection system using smart wearable devices |
| title_fullStr | A design proposition for an IoT health data collection system using smart wearable devices |
| title_full_unstemmed | A design proposition for an IoT health data collection system using smart wearable devices |
| title_short | A design proposition for an IoT health data collection system using smart wearable devices |
| title_sort | design proposition for an iot health data collection system using smart wearable devices |
| topic | Internet of things Wearable technology Automatic data collection systems Health -- Data processing Physical fitness -- Monitoring |
| url | http://hdl.handle.net/10019.1/126917 |
| work_keys_str_mv | AT zietsmanpieter adesignpropositionforaniothealthdatacollectionsystemusingsmartwearabledevices AT zietsmanpieter designpropositionforaniothealthdatacollectionsystemusingsmartwearabledevices |