{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/132479"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/132479","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Monitoring breathing with smart fabrics","abstract":"Wearable sensing technologies offer promising solutions for non-intrusive monitoring in healthcare, fitness, and assistive applications. This thesis investigates respiration monitoring using off-the-shelf, commercially available stretchable conductive fabric as the sensing element, eliminating the need for numerous embedded components. Resistance changes from thoracic expansion are acquired in real time using Keysight EDU34450A Digital Multimeter and compared against (i) a force-sensing belt and (ii) audio-based respiration detection. Results show close alignment in breath timing and rate, followed by a discussion of noise during speech and placement sensitivity. The work outlines a path toward comfortable, scalable wearables with wireless integration.","abstract_html":"Wearable sensing technologies offer promising solutions for non-intrusive monitoring in healthcare, fitness, and assistive applications. This thesis investigates respiration monitoring using off-the-shelf, commercially available stretchable conductive fabric as the sensing element, eliminating the need for numerous embedded components. Resistance changes from thoracic expansion are acquired in real time using Keysight EDU34450A Digital Multimeter and compared against (i) a force-sensing belt and (ii) audio-based respiration detection. Results show close alignment in breath timing and rate, followed by a discussion of noise during speech and placement sensitivity. 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This thesis investigates respiration monitoring using off-the-shelf, commercially available stretchable conductive fabric as the sensing element, eliminating the need for numerous embedded components. Resistance changes from thoracic expansion are acquired in real time using Keysight EDU34450A Digital Multimeter and compared against (i) a force-sensing belt and (ii) audio-based respiration detection. Results show close alignment in breath timing and rate, followed by a discussion of noise during speech and placement sensitivity. The work outlines a path toward comfortable, scalable wearables with wireless integration.","Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2026-02-19 without embargo terms","The student, Hajara-Yasmin Isa, accepted the attached license on 2025-11-07 at 20:07.","The student, Hajara-Yasmin Isa, submitted this Thesis for approval on 2025-11-07 at 20:13.","This Thesis was approved for publication on 2025-11-11 at 10:24.","DSpace SAF Submission Ingestion Package generated from Vireo submission #22850 on 2026-02-19 at 18:24:29"]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Monitoring breathing with smart fabrics"]}]}],"canonical_facts":{"dc:contributor":["Kravets, Robin H"],"dc:creator":["Isa, Hajara-Yasmin"],"dc:date":["2025-12","2025-11-11"],"dc:description":["Wearable sensing technologies offer promising solutions for non-intrusive monitoring in healthcare, fitness, and assistive applications. This thesis investigates respiration monitoring using off-the-shelf, commercially available stretchable conductive fabric as the sensing element, eliminating the need for numerous embedded components. Resistance changes from thoracic expansion are acquired in real time using Keysight EDU34450A Digital Multimeter and compared against (i) a force-sensing belt and (ii) audio-based respiration detection. Results show close alignment in breath timing and rate, followed by a discussion of noise during speech and placement sensitivity. The work outlines a path toward comfortable, scalable wearables with wireless integration.","Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2026-02-19 without embargo terms","The student, Hajara-Yasmin Isa, accepted the attached license on 2025-11-07 at 20:07.","The student, Hajara-Yasmin Isa, submitted this Thesis for approval on 2025-11-07 at 20:13.","This Thesis was approved for publication on 2025-11-11 at 10:24.","DSpace SAF Submission Ingestion Package generated from Vireo submission #22850 on 2026-02-19 at 18:24:29"],"dc:format":["application/pdf"],"dc:identifier":["https://hdl.handle.net/2142/132479"],"dc:language":["en"],"dc:rights":["Copyright 2025 Hajara-Yasmin Isa"],"dc:subject":["smart fabrics, e-textile, breath monitoring"],"dc:title":["Monitoring breathing with smart fabrics"],"dc:type":["text","Thesis"],"thesis:degree_discipline":["Computer Science"],"thesis:degree_level":["Thesis"],"thesis:degree_name":["M.S."],"thesis:institution_name":["University of Illinois Urbana-Champaign"]},"updated_at":"2026-07-22T22:25:07Z"}