Full Text Available
Note: Clicking the button above will open the full text document at the original institutional repository in a new window.
Development of a wearable sensor-platform for physiological monitoring during sleep
Thesis (MEngSc)--Stellenbosch University, 2025.
Saved in:
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Thesis |
| Language: | en_ZA |
| Published: |
Stellenbosch : Stellenbosch University
2025
|
| Tags: |
No Tags, Be the first to tag this record!
|
| _version_ | 1867613910553591808 |
|---|---|
| access_status_str | Open Access |
| author | van der Walt, Carina |
| author2 | Grobler, Leenta |
| author_browse | Grobler, Leenta van der Walt, Carina |
| author_facet | Grobler, Leenta van der Walt, Carina |
| author_sort | van der Walt, Carina |
| collection | Thesis |
| dc_rights_str_mv | Stellenbosch University |
| description | Thesis (MEngSc)--Stellenbosch University, 2025. |
| format | Thesis |
| id | oai:scholar.sun.ac.za:10019.1/132362 |
| institution | Stellenbosch University (South Africa) |
| language | en_ZA |
| last_indexed | 2026-06-10T12:43:39.397Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from SUNScholar — Stellenbosch University Repository |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | Stellenbosch : Stellenbosch University |
| publisherStr | Stellenbosch : Stellenbosch University |
| record_format | dspace |
| source_str | SUNScholar — Stellenbosch University Repository |
| spelling | oai:scholar.sun.ac.za:10019.1/132362 Development of a wearable sensor-platform for physiological monitoring during sleep van der Walt, Carina Grobler, Leenta Schreve, Kristiaan Stellenbosch University. Faculty of Engineering. Dept. of Mechanical & Mechatronic Engineering. Thesis (MEngSc)--Stellenbosch University, 2025. van der Walt, C. 2025. Development of a wearable sensor-platform for physiological monitoring during sleep. Unpublished masters thesis. Stellenbosch: Stellenbosch University [online]. Available: https://scholar.sun.ac.za/items/6b63730e-2c32-4bc1-b80f-b74d789c8bed ENGLISH ABSTRACT: Sleep monitoring plays a crucial role in understanding and managing sleep disorders. Yet current technologies, such as polysomnography (PSG), are limited by their intrusive nature and unsuitability for long-term, home-based monitoring. This study addresses these limitations by developing a novel wearable sensor platform (device) designed to monitor key physiological parameters during sleep, specifically targeting the detection of sleep paralysis. The sensor platform integrates electromyography (EMG), electrooculography (EOG), and electrocardiography (ECG) sensors to provide comprehensive, non-intrusive monitoring of muscle tone, eye movements, and heart rate. EEG is excluded due to its intrusive nature and the requirement of a laboratory and trained staff. The aim is to provide an accessible, reliable, and user-friendly solution for real-world, long-term sleep monitoring. The research involved two phases of testing. The first phase consisted of a controlled observational study where 20 participants were monitored to assess the device's accuracy in recording physiological parameters related to sleep. The second phase involved 10 participants using the device during their normal sleep routines at home over a period of five nights, allowing for real-world applicability and performance testing. Data from these studies demonstrated that the platform successfully monitored physiological signals in real-time and detected patterns associated with sleep paralysis. The results demonstrate that the developed sensor platform offers comparable accuracy to traditional monitoring systems, while providing the added benefit of portability and ease of use. However, challenges related to signal interference, battery longevity, and device stability were noted. Despite these limitations, the platform shows promise for widespread application in both clinical and home settings. This study contributes to the field of sleep monitoring by providing a novel, cost-effective solution for detecting sleep paralysis and possibly other sleep disorders. Future research should focus on improving the platform’s hardware and software design, expanding the participant pool for more diverse testing, and exploring additional physiological markers to enhance diagnostic capabilities. The wearable sensor platform has the potential to revolutionize sleep health management by enabling continuous, real-time monitoring outside of traditional clinical environments. AFRIKAANSE OPSOMMING: Slaapmonitering speel 'n deurslaggewende rol in die verstaan en bestuur van slaapversteurings, maar beskikbare tegnologie, soos polisomnografie (PSG), is onvanpas vir langtermyn, tuisgebaseerde monitering. Hierdie studie spreek hierdie beperkings aan deur 'n nuwe draagbare sensorplatform te ontwikkel wat ontwerp is om sleutelfisiologiese parameters tydens slaap te monitor, met spesifieke fokus op die identifisering van slaapverlamming. Die sensorplatform integreer elektromiografie (EMG), elektrokulografie (EOG) en elektrokardiografie (EKG) sensors om omvattende, nie-indringende monitering van spiertonus, oogbewegings en hartklop na te spoor. EEG word uitgesluit weens die indringende aard daarvan en die vereiste van 'n laboratorium en opgeleide personeel. Die doel is om 'n toeganklike, betroubare en gebruikersvriendelike oplossing te bied vir effektiewe langtermyn-slaapmonitering. Die navorsing het twee toets-fases behels. Die eerste fase het bestaan uit 'n beheerde waarnemingstudie waar 20 deelnemers gemonitor is om die toestel se akkuraatheid in die opname van fisiologiese parameters wat met slaap verband hou, te bepaal. Die tweede fase het behels dat 10 deelnemers die toestel gebruik het tydens hul normale slaaproetines tuis oor ‘n periode van vyf nagte, wat die werklike toepaslikheid en prestasietoetsing moontlik gemaak het. Die data wat hierdie studies opgelewer het, het getoon dat die platform fisiologiese seine suksesvol gemonitor en patrone wat geassosieer word met slaapverlamming, opgespoor het. Die resultate toon dat die sensorplatform vergelykbare akkuraatheid bied wanneer vergelyk word met tradisionele moniteringstelsels terwyl dit die bykomende voordeel van gebruiksgemak bied. Uitdagings wat verband hou met seinversteuring, batterylewe en toestelstabiliteit is egter opgemerk. Ten spyte van hierdie beperkings, toon die platform belofte vir wydverspreide toepassing in beide kliniese en tuisomgewings. Hierdie studie dra by tot die studie van slaapmonitering deur 'n nuwe, koste effektiewe oplossing te bied vir die identifisering van slaapverlamming en ander slaapversteurings. Toekomstige navorsing moet fokus op die verbetering van die hardeware en sagteware-ontwerp van die platform, die uitbreiding van die deelname segment vir meer diverse toetsing, en die ondersoek van bykomende fisiologiese merkers om diagnostiese vermoëns te verbeter. Die draagbare sensorplatform het die potensiaal om slaapgesondheidsbestuur te revolusioneer deur deurlopende, intydse monitering buite tradisionele kliniese omgewings moontlik te maak. Masters 2025-06-05T06:25:25Z 2025-06-05T06:25:25Z 2025-03 Thesis https://scholar.sun.ac.za/handle/10019.1/132362 en_ZA Stellenbosch University xvi, 119 pages : illustrations application/pdf Stellenbosch : Stellenbosch University |
| spellingShingle | van der Walt, Carina Development of a wearable sensor-platform for physiological monitoring during sleep |
| title | Development of a wearable sensor-platform for physiological monitoring during sleep |
| title_full | Development of a wearable sensor-platform for physiological monitoring during sleep |
| title_fullStr | Development of a wearable sensor-platform for physiological monitoring during sleep |
| title_full_unstemmed | Development of a wearable sensor-platform for physiological monitoring during sleep |
| title_short | Development of a wearable sensor-platform for physiological monitoring during sleep |
| title_sort | development of a wearable sensor platform for physiological monitoring during sleep |
| url | https://scholar.sun.ac.za/handle/10019.1/132362 |
| work_keys_str_mv | AT vanderwaltcarina developmentofawearablesensorplatformforphysiologicalmonitoringduringsleep |