Evidence map›Paper›PMID 34451073›Full record

ArticleSensors (Basel, Switzerland)2021

Generation of Gait Events with a FSR Based Cane Handle.

Andrés Trujillo-León, Arturo de Guzmán-Manzano, Ramiro Velázquez, Fernando Vidal-Verdú

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Analysis of Light Grip Influence on Standing Posture.Sensors (Basel, Switzerland) · 2021
    Article
  3. Article
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

4 authors.

Andrés Trujillo-LeónDepartamento de Electrónica, Universidad de Málaga, 29071 Málaga, Spain.ORCID 0000-0003-4798-1777
Arturo de Guzmán-ManzanoDepartamento de Electrónica, Universidad de Málaga, 29071 Málaga, Spain.
Ramiro VelázquezFacultad de Ingeniería, Universidad Panamericana, Aguascalientes 29020, Mexico.ORCID 0000-0001-9966-9131
Fernando Vidal-VerdúDepartamento de Electrónica, Universidad de Málaga, 29071 Málaga, Spain.ORCID 0000-0002-5459-8306

Funding

Andalusian PAIDI research group TIC-182 Group TIC-182 funds
6 · The paper itself

Abstract

Gait analysis has many applications, and specifically can improve the control of prosthesis, exoskeletons, or Functional Electrical Stimulation systems. The use of canes is common to complement the assistance in these cases, and the synergy between upper and lower limbs can be exploited to obtain information about the gait. This is interesting especially in the case of unilateral assistance, for instance in the case of one side lower limb exoskeletons. If the cane is instrumented, it can hold sensors that otherwise should be attached to the body of the impaired user. This can ease the use of the assistive system in daily life as well as its acceptance. Moreover, Force Sensing Resistors (FSRs) are common in gait phase detection systems, and force sensors are also common in user intention detection. Therefore, a cane that incorporates FSRs on the handle can take advantage from the direct interface with the human and provide valuable information to implement real-time control. This is done in this paper, and the results confirm that many events are detected from variables derived from the readings of the FSRs that provide rich information about gait. However, a large inter-subject variability points to the need of tailored control systems.

Indexed as

Artificial LimbsExoskeleton DeviceCanesGaitHumansLower Extremityassistive technologyexoskeletonsFSR sensorsgaitgait eventsgait monitoringinstrumented caneprosthesis

Identifiers

PMID34451073
PMCPMC8402470

What OpenQuestion holds

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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.