Enhanced Design and Characterization of a Wearable IMU for High-Frequency Motion Capture.

Diego Valdés-Tirado, Gonzalo García Carro, Juan C Alvarez, Diego Álvarez, Antonio López

Abstract read

In one paragraph

Article in Sensors (Basel, Switzerland), 2025. 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

5 authors.

Diego Valdés-TiradoMultisensor Systems and Robotics Group (SiMuR), Department of Electrical, Electronic, Communications and Systems Engineering, University of Oviedo, 33204 Gijón, Spain.ORCID 0000-0002-7710-0451

Gonzalo García CarroMultisensor Systems and Robotics Group (SiMuR), Department of Electrical, Electronic, Communications and Systems Engineering, University of Oviedo, 33204 Gijón, Spain.ORCID 0009-0000-0920-3099

Juan C AlvarezMultisensor Systems and Robotics Group (SiMuR), Department of Electrical, Electronic, Communications and Systems Engineering, University of Oviedo, 33204 Gijón, Spain.ORCID 0000-0002-8910-4855

Diego ÁlvarezMultisensor Systems and Robotics Group (SiMuR), Department of Electrical, Electronic, Communications and Systems Engineering, University of Oviedo, 33204 Gijón, Spain.ORCID 0000-0003-0395-2712

Antonio LópezMultisensor Systems and Robotics Group (SiMuR), Department of Electrical, Electronic, Communications and Systems Engineering, University of Oviedo, 33204 Gijón, Spain.ORCID 0000-0002-5589-6954

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper presents the third-generation design of Bimu, a compact wearable inertial measurement unit (IMU) tailored for advanced human motion tracking. Building on prior iterations, Bimu R2 focuses on enhancing thermal stability, data integrity, and energy efficiency by integrating onboard memory, redesigning the power management system, and optimizing the communication interfaces. A detailed performance evaluation-including noise, bias, scale factor, power consumption, and drift-demonstrates the device's reliability and readiness for deployment in real-world applications ranging from clinical gait analysis to high-speed motion capture. The improvements introduced offer valuable insights for researchers and engineers developing robust wearable sensing solutions.

Indexed as

Wearable Electronic DevicesEquipment DesignGaitHumansMotionMotion CaptureMovementembedded systemsenergy efficiencygait analysisinertial sensorssignal characterizationwearable IMU

Identifiers

PMID41095047

DOI10.3390/s25196224

PMCPMC12526765

What OpenQuestion holds

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LicenceCC BY

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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.