Evidence map›Paper›PMID 35992726›Full record

ArticleComputer communications2022

A survey on vital signs monitoring based on Wi-Fi CSI data.

Julio C H Soto, Iandra Galdino, Egberto Caballero, Vinicius Ferreira, Débora Muchaluat-Saade, Célio Albuquerque

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Computer communications, 2022. 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
3.7field-weighted citation impact, top 6% 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

1 citing paper in PubMed, 43 citations in OpenAlex.

  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

6 authors at 1 institution in 1 country.

Julio C H SotoMídiaCom Lab, Institute of Computing, Universidade Federal Fluminense, Av. Gal. Milton Tavares de Souza s/n São Domingos, Niterói, 24210-346, Rio de Janeiro, Brazil.
Iandra GaldinoMídiaCom Lab, Institute of Computing, Universidade Federal Fluminense, Av. Gal. Milton Tavares de Souza s/n São Domingos, Niterói, 24210-346, Rio de Janeiro, Brazil.
Egberto CaballeroMídiaCom Lab, Institute of Computing, Universidade Federal Fluminense, Av. Gal. Milton Tavares de Souza s/n São Domingos, Niterói, 24210-346, Rio de Janeiro, Brazil.
Vinicius FerreiraMídiaCom Lab, Institute of Computing, Universidade Federal Fluminense, Av. Gal. Milton Tavares de Souza s/n São Domingos, Niterói, 24210-346, Rio de Janeiro, Brazil.
Débora Muchaluat-SaadeMídiaCom Lab, Institute of Computing, Universidade Federal Fluminense, Av. Gal. Milton Tavares de Souza s/n São Domingos, Niterói, 24210-346, Rio de Janeiro, Brazil.
Célio AlbuquerqueMídiaCom Lab, Institute of Computing, Universidade Federal Fluminense, Av. Gal. Milton Tavares de Souza s/n São Domingos, Niterói, 24210-346, Rio de Janeiro, Brazil.
Universidade Federal Fluminense · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic further highlighted the need to use low-cost remote monitoring procedures for medical patients. Since the results reported in the literature have shown that the use of Channel State Information (CSI) from Wi-Fi networks to remotely monitor patients can provide means to obtain a powerful medical information package in a non-invasive way and at low cost, a consistent review and analysis of the state of the art on this applied technique is developed in the present work. Initially, a mathematical overview of the CSI technology and its functional model is done. Subsequently, details about the technical approach necessary to use CSI in medical applications and a summary of the studies reported in the literature with such applications are presented. Based on the analyses and discussions carried out throughout this work, a better understanding of the current state of the art is achieved. Challenges and perspectives for future research are also highlighted.

Indexed as

Channel state informationeHealthHeart ratePatient remote monitoringRespiration rateVital signsWi-Fi CSI

Identifiers

PMID35992726
PMCPMC9375645
OpenAlexW4291711278

What OpenQuestion holds

Textmetadata
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.