ArticleNPJ digital medicine2020
Sweat monitoring beneath garments using passive, wireless resonant sensors interfaced with laser-ablated microfluidics.
Article in NPJ digital medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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.
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.
Who cites it
13 citing papers in PubMed, 32 citations in OpenAlex.
- Batteryless wireless tilt sensor with self-calibration capability for structural health monitoring.Communications engineering · 2026Article
- A highly sensitive and multiplexed wireless sensing system with skin-like compliance and stretchability for wearable applications.Science advances · 2025Article
- Microfluidic biosensors for biomarker detection in body fluids: a key approach for early cancer diagnosis.Biomarker research · 2024Review
- A Review of Microstrip Patch Antenna-Based Passive Sensors.Sensors (Basel, Switzerland) · 2024Review
- Rapid Characterization of Solid Tumors Using Resonant Sensors.ACS omega · 2022Article
- Article
- Design Guidelines for Sensors Based on Spiral Resonators.Sensors (Basel, Switzerland) · 2022Article
- Wearable Sweat Loss Measuring Devices: From the Role of Sweat Loss to Advanced Mechanisms and Designs.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022Review
- Design and Optimization of the Resonator in a Resonant Accelerometer Based on Mode and Frequency Analysis.Micromachines · 2021Article
- Wireless Microfluidic Sensor for Metal Ion Detection in Water.ACS omega · 2021Article
- Recent progress, challenges, and opportunities for wearable biochemical sensors for sweat analysis.Sensors and actuators. B, Chemical · 2021Article
- A Battery-Less Wireless Respiratory Sensor Using Micro-Machined Thin-Film Piezoelectric Resonators.Micromachines · 2021Article
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Sweat loss can help determine hydration status of individuals working in harsh conditions, which is especially relevant to those who wear thick personal protective equipment (PPE) such as firefighters. A wireless, passive, conformable sweat sensor sticker is described here that can be worn under and interrogated through thick clothing to simultaneously measure sweat loss volume and conductivity. The sticker consists of a laser-ablated, microfluidic channel and a resonant sensor transducer. The resonant sensor is wirelessly read with a handheld vector network analyzer coupled to two, co-planar, interrogation antennas that measure the transmission loss. A sweat proxy is used to fill the channels and it is determined that the sensor can orthogonally determine the sweat conductivity and volume filled in the channel via peak transmission loss magnitude and frequency respectively. A four-person study is then used to determine level of sensor variance caused by local tissue dielectric heterogeneity and sensor-reader orientation.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.