Evidence map›Paper›PMID 36268642›Full record

ArticleLab on a chip2022

Autonomous wearable sweat rate monitoring based on digitized microbubble detection.

Haisong Lin, Wenzhuo Yu, Jorge Emiliano De Dios Suarez, Harish Athavan, Yibo Wang, Christopher Yeung, Shuyu Lin, Sriram Sankararaman, Carlos Milla, Sam Emaminejad

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Lab on a chip, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Review
  2. Beyond Flexible: Unveiling the Next Era of Flexible Electronic Systems.Advanced materials (Deerfield Beach, Fla.) · 2024
    Review
  3. Article
  4. Article
  5. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Haisong LinInterconnected & Integrated Bioelectronics Lab (I2BL), Department of Electrical and Computer Engineering, UCLA, USA. emaminejad@ucla.edu.ORCID 0000-0002-5684-6385
Wenzhuo YuInterconnected & Integrated Bioelectronics Lab (I2BL), Department of Electrical and Computer Engineering, UCLA, USA. emaminejad@ucla.edu.
Jorge Emiliano De Dios SuarezInterconnected & Integrated Bioelectronics Lab (I2BL), Department of Electrical and Computer Engineering, UCLA, USA. emaminejad@ucla.edu.
Harish AthavanInterconnected & Integrated Bioelectronics Lab (I2BL), Department of Electrical and Computer Engineering, UCLA, USA. emaminejad@ucla.edu.
Yibo WangInterconnected & Integrated Bioelectronics Lab (I2BL), Department of Electrical and Computer Engineering, UCLA, USA. emaminejad@ucla.edu.
Christopher YeungDepartment of Material Science and Engineering, UCLA, USA.ORCID 0000-0002-8964-1044
Shuyu LinInterconnected & Integrated Bioelectronics Lab (I2BL), Department of Electrical and Computer Engineering, UCLA, USA. emaminejad@ucla.edu.
Sriram SankararamanDepartment of Computer Science, UCLA, USA.
Carlos MillaStanford School of Medicine, Stanford University, USA.ORCID 0000-0001-5515-3053
Sam EmaminejadInterconnected & Integrated Bioelectronics Lab (I2BL), Department of Electrical and Computer Engineering, UCLA, USA. emaminejad@ucla.edu.ORCID 0000-0003-0132-152X

Funding

An Autonomous, Non-invasive, and Bioanalytics-enabled Wearable Platform for Precision Nutrition and Personalized MedicineR33DK128711 · NIDDK · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI EMAMINEJAD, SAM, MILLA, CARLOS · 2023 to 2025
$1.9M
An Autonomous, Non-invasive, and Bioanalytics-enabled Wearable Platform for Precision Nutrition and Personalized MedicineR21DK128711 · NIDDK · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI EMAMINEJAD, SAM, MILLA, CARLOS · 2021 to 2022
$407k
NIDDK NIH HHS R21 DK128711NIDDK NIH HHS R33 DK128711
6 · The paper itself

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 of microliter-scale bubbles

Indexed as

Biosensing TechniquesWearable Electronic DevicesHumansMicrobubblesSweat

Identifiers

PMID36268642
PMCPMC9757655

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.