Evidence map›Paper›PMID 33923071›Full record

ArticleSensors (Basel, Switzerland)2021

A Wearable System with Embedded Conductive Textiles and an IMU for Unobtrusive Cardio-Respiratory Monitoring.

Joshua Di Tocco, Luigi Raiano, Riccardo Sabbadini, Carlo Massaroni, Domenico Formica, Emiliano Schena

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 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. 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.

Joshua Di ToccoUnit of Measurements and Biomedical Instrumentation, Università Campus Bio-Medico di Roma, Via Alvaro del Portillo, 00128 Rome, Italy.ORCID 0000-0002-9841-7861
Luigi RaianoUnit of Neurophysiology and Neuroengineering of HumanTechnology Interaction (NeXT), Università Campus Bio-Medico di Roma, Via Alvaro del Portillo, 00128 Rome, Italy.ORCID 0000-0002-3242-4057
Riccardo SabbadiniUnit of Measurements and Biomedical Instrumentation, Università Campus Bio-Medico di Roma, Via Alvaro del Portillo, 00128 Rome, Italy.ORCID 0000-0002-3574-9842
Carlo MassaroniUnit of Measurements and Biomedical Instrumentation, Università Campus Bio-Medico di Roma, Via Alvaro del Portillo, 00128 Rome, Italy.ORCID 0000-0002-3090-5623
Domenico FormicaUnit of Neurophysiology and Neuroengineering of HumanTechnology Interaction (NeXT), Università Campus Bio-Medico di Roma, Via Alvaro del Portillo, 00128 Rome, Italy.ORCID 0000-0003-0240-1265
Emiliano SchenaUnit of Measurements and Biomedical Instrumentation, Università Campus Bio-Medico di Roma, Via Alvaro del Portillo, 00128 Rome, Italy.ORCID 0000-0002-9696-1265

Funding

European Commission 871803Istituto Nazionale per l'Assicurazione Contro Gli Infortuni sul Lavoro ID10/2018Regione Lazio POR FESR LAZIO 2014-2020
6 · The paper itself

Abstract

The continuous and simultaneous monitoring of physiological parameters represents a key aspect in clinical environments, remote monitoring and occupational settings. In this regard, respiratory rate (RR) and heart rate (HR) are correlated with several physiological and pathological conditions of the patients/workers, and with environmental stressors. In this work, we present and validate a wearable device for the continuous monitoring of such parameters. The proposed system embeds four conductive sensors located on the user's chest which allow retrieving the breathing activity through their deformation induced during cyclic expansion and contraction of the rib cage. For monitoring HR we used an embedded IMU located on the left side of the chest wall. We compared the proposed device in terms of estimating HR and RR against a reference system in three scenarios: sitting, standing and supine. The proposed system reliably estimated both RR and HR, showing low error averaged along subjects in all scenarios. This is the first study focused on the feasibility assessment of a wearable system based on a multi-sensor configuration (i.e., conductive sensors and IMU) for RR and HR monitoring. The promising results encourage the application of this approach in clinical and occupational settings.

Indexed as

Wearable Electronic DevicesHeart RateHumansMonitoring, PhysiologicRespiratory RateTextilescardio-respiratory monitoringheart rateIMUrespiratory ratesmart textilewearable devicewearable system

Identifiers

PMID33923071
PMCPMC8123320

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.