Estimation of Muscles fatigue by ions and EMG sensors
Giuliano Angelo Giufre'
Estimation of Muscles fatigue by ions and EMG sensors.
Rel. Danilo Demarchi. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Biomedica, 2021
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Abstract
There is growing interest in health monitoring using minimally invasive wearabledevices. Clinics often use blood analysis for the monitoring condition of thehuman body but it often requires invasive and annoying collection and is notsuitable for continuous monitoring. In order to solve these issues, sweat hasrecently been deeply studied by researchers and identified as a potential bloodsubstitute in diagnosis. Metabolic markers that are present in sweat, indeed,could provide a more direct indicator of human health for accurate assessment ofathletic performance, clinical diagnosis, and for managing chronic health conditionsincluding generating alerts in cases of emergencies. Sweat is promising since itis easily accessible and can be collected non invasively using the iontophoresis orchemical stimulation methods.
Sweat is very rich in physiological and metabolicbiomarkers, for example, sodium from sweat can indicate the hydration statusand electrolyte imbalance in a body, lactate concentration can be an indicatorof the muscle fatigue, ammonium for metabolic conditions, potassium level formuscle cramps dehydration and cardiovascular problem and calcium for the bonemineral loss
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