Evidence map›Paper›PMID 30071601›Full record

ArticleSensors (Basel, Switzerland)2018

Real-Time Distributed Architecture for Remote Acoustic Elderly Monitoring in Residential-Scale Ambient Assisted Living Scenarios.

Joan Navarro, Ester Vidaña-Vila, Rosa Ma Alsina-Pagès, Marcos Hervás

Abstract 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 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
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  6. Article
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  10. Smart Environments and Social Robots for Age-Friendly Integrated Care Services.International journal of environmental research and public health · 2020
    Article
  11. Review
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.

Joan NavarroGRITS-Grup de Recerca en Internet Techologies and Storage, c/Quatre Camins, 30, 08022 Barcelona, Spain. jnavarro@salleurl.edu.ORCID 0000-0003-3916-9279
Ester Vidaña-VilaGTM-Grup de Recerca en Tecnologies Mèdia, c/Quatre Camins, 30, 08022 Barcelona, Spain. ester.vidana@salle.url.edu.ORCID 0000-0002-4265-2985
Rosa Ma Alsina-PagèsGTM-Grup de Recerca en Tecnologies Mèdia, c/Quatre Camins, 30, 08022 Barcelona, Spain. rosamaria.alsina@salle.url.edu.ORCID 0000-0003-2261-5471
Marcos HervásFICOSA-Can Mitjans, s/n, 08232 Viladecavalls, Barcelona, Spain. marcosantonio.hervas@salle.url.edu.ORCID 0000-0003-2021-9264

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ambient Assisted Living (AAL) has become a powerful alternative to improving the life quality of elderly and partially dependent people in their own living environments. In this regard, tele-care and remote surveillance AAL applications have emerged as a hot research topic in this domain. These services aim to infer the patients' status by means of centralized architectures that collect data from a set of sensors deployed in their living environment. However, when the size of the scenario and number of patients to be monitored increase (e.g., residential areas, retirement homes), these systems typically struggle at processing all associated data and providing a reasonable output in real time. The purpose of this paper is to present a fog-inspired distributed architecture to collect, analyze and identify up to nine acoustic events that represent abnormal behavior or dangerous health conditions in large-scale scenarios. Specifically, the proposed platform collects data from a set of wireless acoustic sensors and runs an automatic two-stage audio event classification process to decide whether or not to trigger an alarm. Conducted experiments over a labeled dataset of 7116 s based on the priorities of the Fundació Ave Maria health experts have obtained an overall accuracy of 94.6%.

Indexed as

Assisted Living FacilitiesComputer SystemsAcousticsAgedHumansMonitoring, PhysiologicQuality of LifeWireless Technologyacoustic sensor networkambient assisted livinggraphics processor unithome monitoringresidence assistancesurveillance

Identifiers

PMID30071601
PMCPMC6112031

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.