A Comparative Analysis On Finding Out Electrolytes  From Effective Data Sets In Human Sweat

Sadid, Md. Shahriar; Shahriar, Sayef; Mahamat, Abba

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dc.contributor.author	Sadid, Md. Shahriar
dc.contributor.author	Shahriar, Sayef
dc.contributor.author	Mahamat, Abba
dc.date.accessioned	2022-12-26T06:04:58Z
dc.date.available	2022-12-26T06:04:58Z
dc.date.issued	2022-05-30
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dc.identifier.uri	http://hdl.handle.net/123456789/1623
dc.description	Supervised by Prof. Dr. Md. Taslim Reza, Department of Electrical and Electronic Engineering (EEE), Islamic University of Technology (IUT), Gazipur-1704, Bangladesh. This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2022.	en_US
dc.description.abstract	This paper explores the non-invasive method of identifying electrolyte levels of human sweat. A non- invasive micro patch antenna-based sensor is used to determine the electrolyte level of human sweat. This device is designed to be wearable so as to have close proximity to the human skin in order to have great advantage in detecting the electrolyte (NaCl) level from sweat. A 1.8 mm thick copper patch antenna that operate in a frequency range of 0.5 GHz -3.5 GHz is used. Paper based substrate is preferred due to the fact that it’s a good absorber and cost effective. For testing the sensitivity, the antenna is structured to have a frequency of 1.57 GHz with several dielectric constants ranging between 1.0 F/m - 2.0 F/m, thereby allowing the substrate dielectric to be controlled by the properties of the absorbed sweat. The paper looks at the Shift in resonant frequency and also the magnitude of reflection coefficient which is employed on a concentration range of approximately 0.001 mol/L - 5 mol/L of NaCl. For various levels of electrolyte, the resonant frequency, the reflection magnitude are fluctuating, the first resonance is regarded for analysis of data.	en_US
dc.language.iso	en	en_US
dc.publisher	Department of Electrical and Electronic Engineering(EEE), Islamic University of Technology(IUT),	en_US
dc.subject	Human Sweat, Concentration	en_US
dc.title	A Comparative Analysis On Finding Out Electrolytes From Effective Data Sets In Human Sweat	en_US
dc.type	Thesis	en_US