<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Lin H</submitter><funding>NIDDK NIH HHS</funding><funding>Henry Samueli School of Engineering and Applied Science, University of California, Los Angeles</funding><funding>National Institutes of Health</funding><pagination>4267-4275</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9757655</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>22(22)</volume><pubmed_abstract>Advancements in wearable bioanalytical microsystems have enabled diurnal and (semi)continuous monitoring of physiologically-relevant indices that are accessible through probing sweat. To deliver an undistorted and physiologically-meaningful interpretation of these readings, tracking the sweat secretion rate is essential, because it allows for calibrating the biomarker readings against variations in sweat secretion and inferring the body's hydration/electrolyte homeostasis status. To realize an autonomous wearable solution with intrinsically high signal-to-noise ratio sweat rate sensing capabilities, here, we devise a digitized microbubble detection mechanism-delivered by a hybrid microfluidic/electronic system with a compact footprint. This mechanism is based on the intermittent generation</pubmed_abstract><journal>Lab on a chip</journal><pubmed_title>Autonomous wearable sweat rate monitoring based on digitized microbubble detection.</pubmed_title><pmcid>PMC9757655</pmcid><funding_grant_id>R21 DK128711</funding_grant_id><funding_grant_id>R21DK128711-01</funding_grant_id><pubmed_authors>Lin S</pubmed_authors><pubmed_authors>Lin H</pubmed_authors><pubmed_authors>Yu W</pubmed_authors><pubmed_authors>Milla C</pubmed_authors><pubmed_authors>Sankararaman S</pubmed_authors><pubmed_authors>Emaminejad S</pubmed_authors><pubmed_authors>Athavan H</pubmed_authors><pubmed_authors>Wang Y</pubmed_authors><pubmed_authors>Yeung C</pubmed_authors><pubmed_authors>Suarez JED</pubmed_authors></additional><is_claimable>false</is_claimable><name>Autonomous wearable sweat rate monitoring based on digitized microbubble detection.</name><description>Advancements in wearable bioanalytical microsystems have enabled diurnal and (semi)continuous monitoring of physiologically-relevant indices that are accessible through probing sweat. To deliver an undistorted and physiologically-meaningful interpretation of these readings, tracking the sweat secretion rate is essential, because it allows for calibrating the biomarker readings against variations in sweat secretion and inferring the body's hydration/electrolyte homeostasis status. To realize an autonomous wearable solution with intrinsically high signal-to-noise ratio sweat rate sensing capabilities, here, we devise a digitized microbubble detection mechanism-delivered by a hybrid microfluidic/electronic system with a compact footprint. This mechanism is based on the intermittent generation</description><dates><release>2022-01-01T00:00:00Z</release><publication>2022 Nov</publication><modification>2025-04-04T13:09:35.029Z</modification><creation>2025-04-04T13:09:35.029Z</creation></dates><accession>S-EPMC9757655</accession><cross_references><pubmed>36268642</pubmed><doi>10.1039/d2lc00670g</doi></cross_references></HashMap>