Ata Jedari Golparvar

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Over the past eight years, there has been a remarkable surge in the field of sweat analysis, as a non-invasive, continuous, and multi-metabolite monitoring solution tailored for wearable devices. However, its full potential has yet to be fully realized due ...

Microcantilever-based biosensors have emerged as promising technologies for point-of-care sensing systems. However, since they are typically utilized as a single piezoresistor in a quarter Wheatstone bridge configuration, they suffer from output asymmetry ...

We report the successful acquisition of surface electromyography (sEMG) signals from an intelligent armband and its application in localized muscle fatigue monitoring with a costume-designed, small-scale front-end readout circuitry. The correlation coeffic ...

After decades of research on non-invasive glucose monitoring, invasive devices based on finger blood sampling are still the predominant reference for diabetic patients for accurately measuring blood glucose levels. Meanwhile, research continues improving p ...

Dehydration is a frequent condition in the elderly and can lead to serious health complications if not compensated timely. Early diagnosis can be problematic, as medical examinations in the hospital would be needed. Fully wearable low-cost multisensing dev ...

Ata Jedari Golparvar

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Raman Biosensing of Sweat Metabolites: Univariate vs. Multivariate Algorithms

A Novel Piezoresistive Microcantilever Structure for Free Valproic Acid Sensing in Personalized Epilepsy Management

Smart Armband with Graphene Textile Electrodes for EMG-based Muscle Fatigue Monitoring

Very Selective Detection of Low Physiopathological Glucose Levels by Spontaneous Raman Spectroscopy with Univariate Data Analysis

Design and in vitro Characterization of a Wearable Multisensing System for Hydration Monitoring