Evidence map›Paper›PMID 42817460›Full record

ArticleSensors (Basel, Switzerland)2026

A Wearable Device to Measure Bioimpedance and Electrodermal Activity.

Jesús Ponce de León, José Ramón Beltrán, David Asiain

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Jesús Ponce de LeónEscuela Universitaria Politécnica de La Almunia (EUPLA), University of Zaragoza, 50100 Zaragoza, Spain.ORCID 0000-0003-0832-6112
José Ramón BeltránEscuela de Ingeniería y Arquitectura (EINA), University of Zaragoza, 50009 Zaragoza, Spain.ORCID 0000-0002-7500-4650
David AsiainEscuela Universitaria Politécnica de La Almunia (EUPLA), University of Zaragoza, 50100 Zaragoza, Spain.ORCID 0000-0003-3618-4940

Funding

Ministry of Science and Information PID2022-136779OB-C31
6 · The paper itself

Abstract

Continuous non-invasive health monitoring requires wearable devices capable of capturing synchronized, multi-parametric physiological data without compromising user comfort or signal integrity. However, existing platforms often suffer from insufficient accuracy in complex modalities such bioimpedance. To address these limitations, this paper introduces the Multi-sensor Wearable Wristband Version 2.0 (MsW2-v2), an optimized, highly integrated platform designed for high-precision measurements. The methodology encompasses the hardware optimization of a previous prototype, integrating a low-leakage switching matrix and dual-bandwidth analog front ends to capture, in a quasi-simultaneous (time-multiplexed) manner, electrodermal activity (EDA) and bioimpedance (BiZ), as well as other physiological signals such as skin temperature, oxygen saturation, heart rate, and inertial motion. System validation was performed through rigorous laboratory calibration against reference impedances and subsequent in vivo testing on a human volunteer in an isolated room with no external stimuli whatsoever. The laboratory results indicated high-precision performance, with the mean absolute errors of the measurements being below 3 Ω in modulus and 0.2° in phase across a wide range of frequencies, from 1 kHz to 200 kHz. Preliminary in vivo benchmarks confirm the functionality of the device. These findings demonstrate that the MsW2-v2 successfully bridges the gap between high accuracy and wearable form factors, bringing us to the conclusion that this device could serve as a viable, scalable solution for real-time physiological measurements and biomedical signal monitoring.

Indexed as

Electric ImpedanceGalvanic Skin ResponseWearable Electronic DevicesHeart RateHumansMonitoring, PhysiologicSignal Processing, Computer-AssistedSkin TemperatureAFE AD5941 integrated circuitapproximate Cole model of skinbioimpedance (BiZ)biosignalselectrodermal activity (EDA)wearables

Identifiers

PMID42817460
PMCPMC13611199

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.