Evidence map›Paper›PMID 31547181›Full record

SynthesisSensors (Basel, Switzerland)2019

Wearable Inertial Sensors to Assess Standing Balance: A Systematic Review.

Marco Ghislieri, Laura Gastaldi, Stefano Pastorelli, Shigeru Tadano, Valentina Agostini

Registry-linked trialOpen access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06666816 (Observational Study for the Identification of Fatigue and Gait Biomarkers in Populations With Neuromuscular Pathologies in the Clinical Context and Daily Life), which is not on this map. Cited by 93 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
93citing papers in PubMed, 5 pooled it
48.1field-weighted citation impact, top 1% of its field
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.

NCT06666816 recruitingnot on this map

Observational Study for the Identification of Fatigue and Gait Biomarkers in Populations With Neuromuscular Pathologies in the Clinical Context and Daily Life

TypeobservationalSponsorIRCCS Eugenio MedeaRan2017 to 2026Enrolled120ConditionsMuscular Dystrophies, Myopathies, Spinal Muscular Atrophy (SMA), Charcot Marie Tooth DiseaseArmsinapplicable
3 · Its place in the literature

Who cites it

93 citing papers in PubMed, 5 syntheses or guidelines pooled it, 189 citations in OpenAlex.

  1. Pooled it
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  8. Instrumental assessment of Sit-to-Stand in Parkinson's disease: a scoping review.Journal of neuroengineering and rehabilitation · 2026
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  15. Head kinematic analysis in idiopathic scoliosis: a case-control study.Journal of orthopaedic surgery and research · 2025
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33 more citing papers are in PubMed but not listed here.

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 at 2 institutions in 2 countries.

Marco GhislieriDepartment of Electronics and Telecommunications, Politecnico di Torino, 10129 Torino, Italy. marco.ghislieri@polito.it.ORCID 0000-0001-7626-1563
Laura GastaldiDepartment of Mathematical Sciences, Politecnico di Torino, 10129 Torino, Italy. laura.gastaldi@polito.it.
Stefano PastorelliDepartment of Mechanical and Aerospace Engineering, Politecnico di Torino, 10129 Torino, Italy. stefano.pastorelli@polito.it.
Shigeru TadanoNational Institute of Technology, Hakodate College, Hakodatate 042-8501, Japan. tadano@eng.hokudai.ac.jp.
Valentina AgostiniDepartment of Electronics and Telecommunications, Politecnico di Torino, 10129 Torino, Italy. valentina.agostini@polito.it.ORCID 0000-0001-5887-1499
Politecnico di Torino · ITHokkaido University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wearable sensors are de facto revolutionizing the assessment of standing balance. The aim of this work is to review the state-of-the-art literature that adopts this new posturographic paradigm, i.e., to analyse human postural sway through inertial sensors directly worn on the subject body. After a systematic search on PubMed and Scopus databases, two raters evaluated the quality of 73 full-text articles, selecting 47 high-quality contributions. A good inter-rater reliability was obtained (Cohen's kappa = 0.79). This selection of papers was used to summarize the available knowledge on the types of sensors used and their positioning, the data acquisition protocols and the main applications in this field (e.g., "active aging", biofeedback-based rehabilitation for fall prevention, and the management of Parkinson's disease and other balance-related pathologies), as well as the most adopted outcome measures. A critical discussion on the validation of wearable systems against gold standards is also presented.

Indexed as

Wearable Electronic DevicesAccidental FallsHumansParkinson DiseasePostural Balanceaccelerometersfall riskIMUinertial sensorsParkinson’s diseasepostural balancepostural swayposturographyvalidationwearable

Identifiers

PMID31547181
PMCPMC6806601
OpenAlexW2973711559

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.