Evidence map›Paper›PMID 37687977›Full record

ReviewSensors (Basel, Switzerland)2023

Wearable Sensors for Respiration Monitoring: A Review.

Tauseef Hussain, Sana Ullah, Raúl Fernández-García, Ignacio Gil

Open access · goldAbstract readReview
In one paragraph

Review 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 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
8.3field-weighted citation impact, top 1% 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

35 citing papers in PubMed, 76 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

4 authors at 2 institutions in 2 countries.

Tauseef HussainDepartment of Electronic Engineering, Universitat Politècnica de Catalunya, 08222 Terrassa, Spain.ORCID 0000-0002-6476-999X
Sana UllahDepartment of Electrical and Information Engineering, Politecnico di Bari, 70126 Bari, Italy.
Raúl Fernández-GarcíaDepartment of Electronic Engineering, Universitat Politècnica de Catalunya, 08222 Terrassa, Spain.ORCID 0000-0002-4030-7256
Ignacio GilDepartment of Electronic Engineering, Universitat Politècnica de Catalunya, 08222 Terrassa, Spain.ORCID 0000-0002-7175-5756
Universitat Politècnica de Catalunya · ESPolytechnic University of Bari · IT

Funding

Spanish Government (MICINN) under Projects TED2021-131209B-I00the Spanish Government (MICINN) under Projects PID2021-124288OB-I00
6 · The paper itself

Abstract

This paper provides an overview of flexible and wearable respiration sensors with emphasis on their significance in healthcare applications. The paper classifies these sensors based on their operating frequency distinguishing between high-frequency sensors, which operate above 10 MHz, and low-frequency sensors, which operate below this level. The operating principles of breathing sensors as well as the materials and fabrication techniques employed in their design are addressed. The existing research highlights the need for robust and flexible materials to enable the development of reliable and comfortable sensors. Finally, the paper presents potential research directions and proposes research challenges in the field of flexible and wearable respiration sensors. By identifying emerging trends and gaps in knowledge, this review can encourage further advancements and innovation in the rapidly evolving domain of flexible and wearable sensors.

Indexed as

KnowledgeWearable Electronic DevicesRespirationbreathing sensorsflexible sensorsrespiration sensorswearable sensors

Identifiers

PMID37687977
PMCPMC10490703
OpenAlexW4386283779

What Socratic 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 Socratic graph.