Evidence map›Paper›PMID 32664479›Full record

ArticleSensors (Basel, Switzerland)2020

SnapKi-An Inertial Easy-to-Adapt Wearable Textile Device for Movement Quantification of Neurological Patients.

Ana Oliveira, Duarte Dias, Elodie Múrias Lopes, Maria do Carmo Vilas-Boas, João Paulo Silva Cunha

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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 49% 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

2 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. 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

5 authors at 2 institutions in 1 country.

Ana OliveiraBiomedical Research and INnovation (BRAIN), Centre for Biomedical Engineering Research (C-BER), INESC Technology and Science, 4200-465 Porto, Portugal.ORCID 0000-0002-9323-6754
Duarte DiasBiomedical Research and INnovation (BRAIN), Centre for Biomedical Engineering Research (C-BER), INESC Technology and Science, 4200-465 Porto, Portugal.ORCID 0000-0002-8119-258X
Elodie Múrias LopesBiomedical Research and INnovation (BRAIN), Centre for Biomedical Engineering Research (C-BER), INESC Technology and Science, 4200-465 Porto, Portugal.ORCID 0000-0001-5563-8544
Maria do Carmo Vilas-BoasBiomedical Research and INnovation (BRAIN), Centre for Biomedical Engineering Research (C-BER), INESC Technology and Science, 4200-465 Porto, Portugal.ORCID 0000-0002-5012-789X
João Paulo Silva CunhaBiomedical Research and INnovation (BRAIN), Centre for Biomedical Engineering Research (C-BER), INESC Technology and Science, 4200-465 Porto, Portugal.ORCID 0000-0003-4131-9045
Universidade do Porto · PTInstitute for Systems Engineering and Computers · PT

Funding

Centro Hospitalar Universitário do Porto BI.02/2018/UCA/CHPFundação para a Ciência e a Tecnologia POCI-01-0145-FEDER-028618 (PTDC/CCI-COM/28618/2017)Fundação para a Ciência e a Tecnologia SFRH/BD/140273/2018Fundação para a Ciência e a Tecnologia UIDB/50014/2020
6 · The paper itself

Abstract

The development of wearable health systems has been the focus of many researchers who aim to find solutions in healthcare. Additionally, the large potential of textiles to integrate electronics, together with the comfort and usability they provide, has contributed to the development of smart garments in this area. In the field of neurological disorders with motor impairment, clinicians look for wearable devices that may provide quantification of movement symptoms. Neurological disorders affect different motion abilities thus requiring different needs in movement quantification. With this background we designed and developed an inertial textile-embedded wearable device that is adaptable to different movement-disorders quantification requirements. This adaptative device is composed of a low-power 9-axis inertial unit, a customised textile band and a web and Android cross application used for data collection, debug and calibration. The textile band comprises a snap buttons system that allows the attachment of the inertial unit, as well as its connection with the analog sensors through conductive textile. The resulting system is easily adaptable for quantification of multiple motor symptoms in different parts of the body, such as rigidity, tremor and bradykinesia assessments, gait analysis, among others. In our project, the system was applied for a specific use-case of wrist rigidity quantification during Deep Brain Stimulation surgeries, showing its high versatility and receiving very positive feedback from patients and doctors.

Indexed as

MovementTextilesWearable Electronic DevicesDeep Brain StimulationHumansNervous System DiseasesWrist Jointinertial sensorsmovement quantificationneurological disorderssmart textiles

Identifiers

PMID32664479
PMCPMC7412064
OpenAlexW3040819389

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.