Evidence map›Paper›PMID 32756509›Full record

ArticleSensors (Basel, Switzerland)2020

Sensorized Tip for Monitoring People with Multiple Sclerosis that Require Assistive Devices for Walking.

Asier Brull, Asier Zubizarreta, Itziar Cabanes, Ana Rodriguez-Larrad

Open access · goldAbstract read
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 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.0field-weighted citation impact, top 13% 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.

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

7 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Article
  3. Sensors in Multiple Sclerosis.Current neurology and neuroscience reports · 2025
    Review
  4. Article
  5. Article
  6. Article
  7. 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 at 1 institution in 1 country.

Asier BrullDepartment of Automatic and Control Systems, University of the Basque Country UPV/EHU, Faculty of Engineering of Bilbao, Ingeniero Torres Quevedo Square, 48013 Bilbao, Biscay, Spain.ORCID 0000-0003-4639-970X
Asier ZubizarretaDepartment of Automatic and Control Systems, University of the Basque Country UPV/EHU, Faculty of Engineering of Bilbao, Ingeniero Torres Quevedo Square, 48013 Bilbao, Biscay, Spain.ORCID 0000-0001-6049-2308
Itziar CabanesDepartment of Automatic and Control Systems, University of the Basque Country UPV/EHU, Faculty of Engineering of Bilbao, Ingeniero Torres Quevedo Square, 48013 Bilbao, Biscay, Spain.
Ana Rodriguez-LarradDepartment of Physiology, University of the Basque Country UPV/EHU, Faculty of Medicine and Nursing, Barrio Sarriena, s/n, 48940 Leioa, Biscay, Spain.ORCID 0000-0003-0923-0788
University of the Basque Country · ES

Funding

Euskal Herriko Unibertsitatea GIU19/045Euskal Herriko Unibertsitatea PIF18/067Eusko Jaurlaritza IT1381-19Ministerio de Ciencia e Innovación DPI2017-82694-R
6 · The paper itself

Abstract

Multiple Sclerosis (MS) is a neurological degenerative disease with high impact on our society. In order to mitigate its effects, proper rehabilitation therapy is mandatory, in which individualisation is a key factor. Technological solutions can provide the information required for this purpose, by monitoring patients and extracting relevant indicators. In this work, a novel Sensorized Tip is proposed for monitoring People with Multiple Sclerosis (PwMS) that require Assistive Devices for Walking (ADW) such as canes or crutches. The developed Sensorized Tip can be adapted to the personal ADW of each patient to reduce its impact, and provides sensor data while naturally walking in the everyday activities. This data that can be processed to obtain relevant indicators that helps assessing the status of the patient. Different from other approaches, a full validation of the proposed processing algorithms is carried out in this work, and a preliminary study-case is carried out with PwMS considering a set of indicators obtained from the Sensorized Tip's processed data. Results of the preliminary study-case demonstrate the potential of the device to monitor and characterise patient status.

Indexed as

Multiple SclerosisSelf-Help DevicesWalkingAdultCrutchesGaitHumansMaleYoung Adultmultiple sclerosispatient monitoringrehabilitationsensorized tipwearable sensors

Identifiers

PMID32756509
PMCPMC7436237
OpenAlexW3047269081

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.