Evidence map›Paper›PMID 30314352›Full record

ArticleSensors (Basel, Switzerland)2018

StraightenUp+: Monitoring of Posture during Daily Activities for Older Persons Using Wearable Sensors.

Gabriela Cajamarca, Iyubanit Rodríguez, Valeria Herskovic, Mauricio Campos, Juan Carlos Riofrío

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.0field-weighted citation impact, top 19% 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

8 citing papers in PubMed, 18 citations in OpenAlex.

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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.

Gabriela CajamarcaDepartment of Computer Science, Pontificia Universidad Católica de Chile, Santiago 7820436, Chile. mgcajamarca@uc.cl.ORCID 0000-0002-6631-2846
Iyubanit RodríguezDepartment of Computer Science, Pontificia Universidad Católica de Chile, Santiago 7820436, Chile. iyubanit@uc.cl.ORCID 0000-0003-0878-4076
Valeria HerskovicDepartment of Computer Science, Pontificia Universidad Católica de Chile, Santiago 7820436, Chile. vherskov@ing.puc.cl.ORCID 0000-0002-2650-6507
Mauricio CamposSchool of Medicine, Pontificia Universidad Católica de Chile, Santiago 8331150, Chile. macampos@med.puc.cl.ORCID 0000-0002-7880-4303
Juan Carlos RiofríoDepartment of Computer Engineering, Universidad de Santiago de Chile, Santiago 9170124, Chile. juan.riofrio@usach.cl.ORCID 0000-0001-9029-8194
Pontificia Universidad Católica de Chile · CLUniversidad de Santiago de Chile · CL

Funding

Comisión Nacional de Investigación Científica y Tecnológica Fondecyt 1181162Comisión Nacional de Investigación Científica y Tecnológica PCHA 2018-21180784
6 · The paper itself

Abstract

Monitoring the posture of older persons using portable sensors while they carry out daily activities can facilitate the process of generating indicators with which to evaluate their health and quality of life. The majority of current research into such sensors focuses primarily on their functionality and accuracy, and minimal effort is dedicated to understanding the experience of older persons who interact with the devices. This study proposes a wearable device to identify the bodily postures of older persons, while also looking into the perceptions of the users. For the purposes of this study, thirty independent and semi-independent older persons undertook eight different types of physical activity, including: walking, raising arms, lowering arms, leaning forward, sitting, sitting upright, transitioning from standing to sitting, and transitioning from sitting to standing. The data was classified offline, achieving an accuracy of 93.5%, while overall device user perception was positive. Participants rated the usability of the device, in addition to their overall user experience, highly.

Indexed as

Activities of Daily LivingWearable Electronic DevicesAgedAged, 80 and overFemaleHomes for the AgedHumansMaleMiddle AgedMonitoring, AmbulatoryNursing HomesPostureolder usersuser experiencewearable

Identifiers

PMID30314352
PMCPMC6210183
OpenAlexW2898052264

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.