Determining Fatigue through Real-Time Sweat Analysis

Master Thesis (2019)
Author(s)

M.R. Thomas (TU Delft - Mechanical Engineering)

Contributor(s)

Paddy J. French – Mentor

H.E.J. Veeger – Mentor

A. Bossche – Graduation committee member

Dick Plettenburg – Graduation committee member

Faculty
Mechanical Engineering
Copyright
© 2019 Miguel Thomas
More Info
expand_more
Publication Year
2019
Language
English
Copyright
© 2019 Miguel Thomas
Graduation Date
21-01-2019
Awarding Institution
Delft University of Technology
Programme
['Mechanical Engineering']
Faculty
Mechanical Engineering
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

At present, commercially available wearable sensors are only capable of tracking an individual’s physical activities and vital signs (such as heart rate). However, these devices fail to provide insight into fatigue itself. Fatigue is a broad term with many meanings. Fatigue in this paper refers to physiological changes where the muscle becomes fatigued due to increased lactate concentration during high physical activities. Real-time measurements of thermal sweat out of the eccrine glands could enable such insight because it contains physiologically and metabolically rich information that can be retrieved non-invasively. Thermal sweat that secretes out of the eccrine glands contains multiple inorganic constituents such as salt and potassium, nitrogen compounds such as ammonia and urea, and sugars such as glucose and lactate. Most literature agrees that ammonia is a potential constituent for determining the state of muscular fatigue. Different methods were proposed for real-time ammonia monitoring. Out of all these methods, a concept was designed using MOS sensors which measures ammonia concentration in a gas phase. This design was tested by letting participants perform an incremental cycling exercise up to the point while monitoring the ammonia concentration, temperature, humidity, and respiratory exchange ratio to validate whether the sensor is able to determine fatigue. The results are inconclusive whether it is able to determine fatigue through real-time ammonia monitoring.

Files

Miguel_Thomas.pdf
(pdf | 25.3 Mb)
License info not available