Thesis
EXPERIMENTAL CHARACTERISATION AND MODELING OF A WEARABLE, SOFT SENSOR FOR QUANTIFICATION OF BREAST VOLUME
Washington State University
Master of Science (MS), Washington State University
01/2022
DOI:
https://doi.org/10.7273/000004490
Handle:
https://hdl.handle.net/2376/124924
Abstract
Women stop breastfeeding their infants earlier than desired due to perceived milk insufficiency. They have a strong desire to understand how much milk is being produced and consumed by the baby. A simple, non-invasive device for this purpose is studied in this thesis. The proposed sensor, which was developed by Gozen et al prior to the start of this thesis study, contains an elastomeric body with a non-volatile ionically conductive liquid embedded in a microchannel. This thesis focuses on modelling and experimental characterization a soft sensor that correlates changes in breast volume, to milk production and output while simultaneously documenting breast temperature in real time. The strain and temperature sensitivities of the ionic liquid is studied to gain a better fundamental understanding and to make it more applicable. The temperature dependency is found to be a material property of the sensor that doesn’t pertain to change w.r.t sensor shape, or size or other factors like humidity. Volume dependency of the sensor is studied to understand variation in sensitivity related to sensor dimensions, and various shapes, sizes of human breasts. Characterization of the sensor using geometric model is proposed to understand the no-slip condition hypothesis of the sensor posed in the study. Finally, obtain independent temperature measurements from volume-temperature dependent signals of the sensor by incorporating modification to the existing sensor design.
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Details
- Title
- EXPERIMENTAL CHARACTERISATION AND MODELING OF A WEARABLE, SOFT SENSOR FOR QUANTIFICATION OF BREAST VOLUME
- Creators
- Mamatha Muralidharan
- Contributors
- Arda Gozen (Advisor)Roland Chen (Committee Member)John P Swensen (Committee Member)
- Awarding Institution
- Washington State University
- Academic Unit
- Mechanical and Materials Engineering, School of
- Theses and Dissertations
- Master of Science (MS), Washington State University
- Publisher
- Washington State University
- Number of pages
- 55
- Identifiers
- 99900882236301842
- Language
- English
- Resource Type
- Thesis