Evidence map›Paper›PMID 41374523›Full record

ArticleSensors (Basel, Switzerland)2025

Gait Cycle Duration Analysis in Lower Limb Amputees Using an IoT-Based Photonic Wearable Sensor: A Preliminary Proof-of-Concept Study.

Bruna Alves, Alessandro Fantoni, José Pedro Matos, João Costa, Manuela Vieira

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.

Bruna AlvesLisbon School of Engineering (ISEL), Polytechnic University of Lisbon (IPL), 1949-014 Lisboa, Portugal.ORCID 0009-0007-9312-6196
Alessandro FantoniLisbon School of Engineering (ISEL), Polytechnic University of Lisbon (IPL), 1949-014 Lisboa, Portugal.ORCID 0000-0002-9938-0351
José Pedro MatosEscola Superior de Tecnologias da Saúde de Lisboa, Polytechnic University of Lisbon (IPL), 1990-096 Lisbon, Portugal.ORCID 0000-0002-7769-1976
João CostaLisbon School of Engineering (ISEL), Polytechnic University of Lisbon (IPL), 1949-014 Lisboa, Portugal.ORCID 0000-0002-8058-3685
Manuela VieiraLisbon School of Engineering (ISEL), Polytechnic University of Lisbon (IPL), 1949-014 Lisboa, Portugal.ORCID 0000-0002-1150-9895

Funding

FCT UIDB/00066/2023
6 · The paper itself

Abstract

This study represents a preliminary proof of concept intended to demonstrate the feasibility of using a single-point LiDAR sensor for wearable gait analysis. The study presents a low-cost wearable sensor system that integrates a single-point LiDAR module and IoT connectivity to assess Gait Cycle Duration (GCD) and gait symmetry in real time. The device is positioned on the medial side of the calf to detect the contralateral limb crossing-used as a proxy for mid-stance-enabling the computation of GCD for both limbs and the derivation of the Symmetry Ratio and Symmetry Index. This was conducted under simulated walking at three cadences (slow, normal and fast). GCD estimated by the sensor was compared against the visual annotation with Kinovea

Indexed as

AmputeesGaitGait AnalysisLower ExtremityWearable Electronic DevicesAdultFemaleHumansMaleProof of Concept StudyWalkinggait analysisgait cycle durationgait symmetryIoTLiDARlower limb amputationprosthesisrehabilitationwearable sensor

Identifiers

PMID41374523
PMCPMC12694134

What OpenQuestion holds

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Registered trials

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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.