Evidence map›Paper›PMID 33919143›Full record

ArticleSensors (Basel, Switzerland)2021

Channel Modeling of an Optical Wireless Body Sensor Network for Walk Monitoring of Elderly.

Alassane Kaba, Stephanie Sahuguede, Anne Julien-Vergonjanne

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Alassane KabaXLIM Laboratory, UMR CNRS 7252, University of Limoges, 87000 Limoges, France.ORCID 0000-0001-5644-0732
Stephanie SahuguedeXLIM Laboratory, UMR CNRS 7252, University of Limoges, 87000 Limoges, France.ORCID 0000-0002-4238-9136
Anne Julien-VergonjanneXLIM Laboratory, UMR CNRS 7252, University of Limoges, 87000 Limoges, France.ORCID 0000-0002-1141-2874

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The growing aging of the world population is leading to an aggravation of diseases, which affect the autonomy of the elderly. Wireless body sensor networks (WBSN) are part of the solutions studied for several years to monitor and prevent loss of autonomy. The use of optical wireless communications (OWC) is seen as an alternative to radio frequencies, relevant when electromagnetic interference and data security considerations are important. One of the main challenges in this context is optical channel modeling for efficiently designing high-reliability systems. We propose here a suitable optical WBSN channel model for tracking the elderly during a walk. We discuss the specificities related to the model of the body, to movements, and to the walking speed by comparing elderly and young models, taking into account the walk temporal evolution using the sliding windowing technique. We point out that, when considering a young body model, performance is either overestimated or underestimated, depending on which windowing parameter is fixed. It is, therefore, important to consider the body model of the elderly in the design of the system. To illustrate this result, we then evaluate the minimal power according to the maximal bandwidth for a given quality of service.

Indexed as

WalkingWireless TechnologyAgedHumansMonitoring, PhysiologicReproducibility of Resultschannel modelingelderly monitoringmobilityoptical wireless communicationswireless body sensor network

Identifiers

PMID33919143
PMCPMC8122262

What OpenQuestion holds

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Registered trials

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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.