Evidence map›Paper›PMID 33142738›Full record

ArticleSensors (Basel, Switzerland)2020

Inertial Sensors-Applications and Challenges in a Nutshell.

Thomas Seel, Manon Kok, Ryan S McGinnis

Abstract readEditorial
In one paragraph

Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Multi-Modal Sensing for Propulsion Estimation in People Post-Stroke Across Speeds.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2025
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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.

Thomas SeelControl Systems Group, Technische Universität Berlin, 10587 Berlin, Germany.
Manon KokDelft Center for Systems and Control, Delft University of Technology, 2628 CD Delft, The Netherlands.ORCID 0000-0002-2441-2240
Ryan S McGinnisDepartment of Electrical and Biomedical Engineering, University of Vermont, Burlington, VT 05405, USA.ORCID 0000-0001-8396-6967

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This editorial provides a concise introduction to the methods and applications of inertial sensors. We briefly describe the main characteristics of inertial sensors and highlight the broad range of applications as well as the methodological challenges. Finally, for the reader's guidance, we give a succinct overview of the papers included in this special issue.

Indexed as

accelerometersbody area networkserror modeling and calibrationgyroscopesinertial motion trackinginertial sensors in health care and sports engineeringinertial sensors in robotics and manufacturinginertial sensors in vehicle motion estimation and controllocalization and mappingmachine learning applied to inertial sensor datamagnetometerssensor fusion

Identifiers

PMID33142738
PMCPMC7662337

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.