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A Prototype Smartwatch Utilizing Spectroscopy for Real-Time Monitoring of Hydration Status.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	A Prototype Smartwatch Utilizing Spectroscopy for Real-Time Monitoring of Hydration Status./
Author:	Belabbaci, Nazim A.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2024,
Description:	39 p.
Notes:	Source: Masters Abstracts International, Volume: 85-08.
Contained By:	Masters Abstracts International85-08.
Subject:	Computer science. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30695651
ISBN:	9798381447781

A Prototype Smartwatch Utilizing Spectroscopy for Real-Time Monitoring of Hydration Status.
Belabbaci, Nazim A.

A Prototype Smartwatch Utilizing Spectroscopy for Real-Time Monitoring of Hydration Status. - Ann Arbor : ProQuest Dissertations & Theses, 2024 - 39 p.

Source: Masters Abstracts International, Volume: 85-08.

Thesis (M.S.)--University of Massachusetts Lowell, 2024.

This item must not be sold to any third party vendors.

The demand for continuous health monitoring solutions has led to the development of innovative wearable biosensors. In this thesis, we introduce a novel approach to real-time hydration assessment using smartwatches equipped with a low-cost spectroscopy sensor. By integrating this technology into everyday a wearable, we aim to provide a convenient and non-invasive method for monitoring hydration levels based on blood electrolytes concentration. We present two significant use cases: 1.the measurement of electrolyte solutions using our low-cost spectroscopy sensor and benchmark it with a high resolution spectrometer that follows industry standards. 2. the assessment of skin hydration during workout and fasting experiments. These use cases demonstrate the credibility of the proposed system.We describe the signal processing techniques we used to extract meaningful data from spectroscopic measurements. Additionally, an AI algorithm is implemented on the edge, allowing real-time classification of hydration status into 3 distinct classes.In the results evaluation section, we present the findings of our research, showcasing the system’s accuracy and performance in assessing hydration status. We also delve into additional results, focusing on emotion recognition. For this purpose, a dedicated experimental setup is described, involving the use of spectroscopy data to develop an algorithm to classify emotions as sad or happy.In conclusion, our thesis underscores the significance of smartwatch-based electrolyte measurement for real-time hydration assessment and its potential applications in diverse areas of health monitoring. We discuss the implications of our findings and suggest future work that can further enhance this technology’s capabilities.

ISBN: 9798381447781Subjects--Topical Terms:

573171
Computer science.
Subjects--Index Terms:

Edge computing

A Prototype Smartwatch Utilizing Spectroscopy for Real-Time Monitoring of Hydration Status.
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245 1 2 $a A Prototype Smartwatch Utilizing Spectroscopy for Real-Time Monitoring of Hydration Status.
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300 $a 39 p.
500 $a Source: Masters Abstracts International, Volume: 85-08.
500 $a Advisor: Alam, Mohammad Arif Ul.
502 $a Thesis (M.S.)--University of Massachusetts Lowell, 2024.
506 $a This item must not be sold to any third party vendors.
520 $a The demand for continuous health monitoring solutions has led to the development of innovative wearable biosensors. In this thesis, we introduce a novel approach to real-time hydration assessment using smartwatches equipped with a low-cost spectroscopy sensor. By integrating this technology into everyday a wearable, we aim to provide a convenient and non-invasive method for monitoring hydration levels based on blood electrolytes concentration. We present two significant use cases: 1.the measurement of electrolyte solutions using our low-cost spectroscopy sensor and benchmark it with a high resolution spectrometer that follows industry standards. 2. the assessment of skin hydration during workout and fasting experiments. These use cases demonstrate the credibility of the proposed system.We describe the signal processing techniques we used to extract meaningful data from spectroscopic measurements. Additionally, an AI algorithm is implemented on the edge, allowing real-time classification of hydration status into 3 distinct classes.In the results evaluation section, we present the findings of our research, showcasing the system’s accuracy and performance in assessing hydration status. We also delve into additional results, focusing on emotion recognition. For this purpose, a dedicated experimental setup is described, involving the use of spectroscopy data to develop an algorithm to classify emotions as sad or happy.In conclusion, our thesis underscores the significance of smartwatch-based electrolyte measurement for real-time hydration assessment and its potential applications in diverse areas of health monitoring. We discuss the implications of our findings and suggest future work that can further enhance this technology’s capabilities.
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650 4 $a Computer engineering. $3 569006
650 4 $a Biomedical engineering. $3 588770
650 4 $a Analytical chemistry. $3 1182118
650 4 $a Optics. $3 595336
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653 $a Machine learning
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