Evidence map›Paper›PMID 37896739›Full record

ArticleSensors (Basel, Switzerland)2023

Multisensory System for Long-Term Activity Monitoring to Facilitate Aging-in-Place.

Sergio Lluva-Plaza, Ana Jiménez-Martín, David Gualda-Gómez, José Manuel Villadangos-Carrizo, Juan Jesús García-Domínguez

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.1field-weighted citation impact, top 20% 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

4 citing papers in PubMed, 9 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.

Sergio Lluva-PlazaDepartment of Electronics, University of Alcalá, 28801 Madrid, Spain.ORCID 0000-0002-0050-2807
Ana Jiménez-MartínDepartment of Electronics, University of Alcalá, 28801 Madrid, Spain.ORCID 0000-0003-0713-0054
David Gualda-GómezDepartment of Signal Theory and Communications, University Rey Juan Carlos, 28943 Fuenlabrada, Spain.ORCID 0000-0003-2071-6260
José Manuel Villadangos-CarrizoDepartment of Electronics, University of Alcalá, 28801 Madrid, Spain.ORCID 0000-0001-5900-0978
Juan Jesús García-DomínguezDepartment of Electronics, University of Alcalá, 28801 Madrid, Spain.ORCID 0000-0002-7121-8651
Universidad de Alcalá · ESUniversidad Rey Juan Carlos · ES

Funding

Regional Government Madrid RACC CM/JIN/2021-016Regional Government of Castile-La Mancha SBPLY/21/180501/000216Spanish Ministry of Science and Innovation PID2021-122642OB-C41/AEI/10.13039/501100011033/ FEDER, UESpanish Ministry of Science and Innovation RTI2018-095168-B-C51Spanish Ministry of Science and Innovation TED2021-130867B-I00
6 · The paper itself

Abstract

Demographic changes and an ageing population require more effective methods to confront the increased prevalence of chronic diseases which generate dependence in older adults as well as an important rise in social expenditure. The challenge is not only to increase life expectancy, but also to ensure that the older adults can fully enjoy that moment in their lives, living where they wish to (private home, nursing home, …). Physical activity (PA) is a representative parameter of a person's state of health, especially when we are getting older, because it plays an important role in the prevention of diseases, and that is the reason why it is promoted in older adults. One of the goals of this work is to assess the feasibility of objectively measuring the PA levels of older adults wherever they live. In addition, this work proposes long-term monitoring that helps to gather daily activity patterns. We fuse inertial measurements with other technologies (WiFi- and ultrasonic-based location) in order to provide not only PA, but also information about the place where the activities are carried out, including both room-level location and precise positioning (depending on the technology used). With this information, we would be able to generate information about the person's daily routines which can be very useful for the early detection of physical or cognitive impairment.

Indexed as

AgingNursing HomesAgedExerciseHumansactivity monitoringaging in placefrailty assessmenthealthy ageingroutine detection

Identifiers

PMID37896739
PMCPMC10611293
OpenAlexW4387874478

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.