Browsing by Author "Peiris, TS"

Now showing 1 - 2 of 2

item: Conference-Extended-Abstract
Analyzing the viability of a real-time sweat analysis system utilizing electrospun textiles
(Department of Textile and Apparel Engineering, 2023-08-31) Medagedara, MH; Peiris, TS; Wansekara, ND; Niles, SN; Nandasiri, GK; Pathirana, M; Madhurangi, C
Health and wellness have become significant trends of the 21st century, with people embracing lifestyles that prioritize physical and mental wellbeing. Continuous monitoring of vital body functions is vital for a holistic approach to wellbeing. As a result, the research and business arena of wellness devices that seamlessly integrate into modern consumers' daily lives is rapidly growing, showing promising potential. Wearable technology, incorporating micro-controllers and electronic devices on the skin or within clothing, serves as signal receptors, analytical tools, and signal transmitters for monitoring human body vitals. This study aims to develop a smart textile-based wearable platform to enable continuous monitoring of vital signs [1].
item: Conference-Full-text
Modeling surface conductivity in a sweat analyzing wearable smart textile platform
(IEEE, 2021-07) Medagedara, MH; Peiris, TS; Wanasekara, ND; Adhikariwatte, W; Rathnayake, M; Hemachandra, K
Wearable self-health monitoring devices are a contemporary necessity with modern life-style and health implications of this decade. Current devices have transitioned to non-invasive sampling due to benefits including minimal possibility of infections, convenience, no requirement for storage, and physiological safety of neo-natal and geriatric patients. Sweat, in this regard, is of importance as the variations in the sweat composition have been validated as bio markers of different diseases. Corresponding variations in the surface resistivity as the sweat composition is changed, has been introduced in this novel research with a synergistic approach, based on developing a conductive sweat sensing and analyzing textile platform. The relationship between the macro porosity of the proposed textile platform and the measured surface conductivity values has been mathematically modeled and presented in this paper. A simulation of the mathematical model concluded that variations in the localized surface area for sweat accumulation and the fabric weight of the textile platform has minimal effect on the performance of the wearable sweat monitoring platform, while a satisfactorily measurable surface conductivity value can be obtained at sweat concentration levels in the order 0.01M.