Evidence map›Paper›PMID 31661856›Full record

SynthesisSensors (Basel, Switzerland)2019

Wearable Sensors for Monitoring of Cigarette Smoking in Free-Living: A Systematic Review.

Masudul H Imtiaz, Raul I Ramos-Garcia, Shashank Wattal, Stephen Tiffany, Edward Sazonov

Abstract readSystematic Review
In one paragraph

Synthesis in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
–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

30 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Observational
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Application of trauma-focused cognitive behavioral therapy among children and adolescents with childhood household dysfunction.Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2024
    Article
  15. An Update on the Use of Wearable Devices in Men's Health.The world journal of men's health · 2023
    Review
  16. Article
  17. Furthering the Validation of Passive Detection of Cigarette Smoking.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2023
    Article
  18. Review
  19. SmokeMon: Unobtrusive Extraction of Smoking Topography Using Wearable Energy-Efficient Thermal.Proceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies · 2022
    Article
  20. 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

5 authors.

Masudul H ImtiazDepartment of Electrical and Computer Engineering, The University of Alabama, Tuscaloosa, AL 35487, USA. masudul4145@gmail.com.
Raul I Ramos-GarciaDepartment of Electrical and Computer Engineering, The University of Alabama, Tuscaloosa, AL 35487, USA. raul.iramosg@gmail.com.
Shashank WattalDepartment of Electrical and Computer Engineering, The University of Alabama, Tuscaloosa, AL 35487, USA. swattal@crimson.ua.edu.ORCID 0000-0003-4934-785X
Stephen TiffanyDepartment of Psychology, University at Buffalo, The State University of New York, Buffalo, NY 12246, USA. stiffany@buffalo.edu.
Edward SazonovDepartment of Electrical and Computer Engineering, The University of Alabama, Tuscaloosa, AL 35487, USA. esazonov@eng.ua.edu.ORCID 0000-0001-7792-4234

Funding

Validation of a System for Noninvasive Monitoring of Cigarette SmokingR01DA035828 · NIDA · UNIVERSITY OF ALABAMA IN TUSCALOOSA · PI SAZONOV, EDWARD S, TIFFANY, STEPHEN T · 2015 to 2018
$1.4M
NIH HHS R01DA035828
6 · The paper itself

Abstract

Globally, cigarette smoking is widespread among all ages, and smokers struggle to quit. The design of effective cessation interventions requires an accurate and objective assessment of smoking frequency and smoke exposure metrics. Recently, wearable devices have emerged as a means of assessing cigarette use. However, wearable technologies have inherent limitations, and their sensor responses are often influenced by wearers' behavior, motion and environmental factors. This paper presents a systematic review of current and forthcoming wearable technologies, with a focus on sensing elements, body placement, detection accuracy, underlying algorithms and applications. Full-texts of 86 scientific articles were reviewed in accordance with the Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) guidelines to address three research questions oriented to cigarette smoking, in order to: (1) Investigate the behavioral and physiological manifestations of cigarette smoking targeted by wearable sensors for smoking detection; (2) explore sensor modalities employed for detecting these manifestations; (3) evaluate underlying signal processing and pattern recognition methodologies and key performance metrics. The review identified five specific smoking manifestations targeted by sensors. The results suggested that no system reached 100% accuracy in the detection or evaluation of smoking-related features. Also, the testing of these sensors was mostly limited to laboratory settings. For a realistic evaluation of accuracy metrics, wearable devices require thorough testing under free-living conditions.

Indexed as

Cigarette SmokingWearable Electronic DevicesElectrocardiographyHandHumansMouthSignal Processing, Computer-Assistedcigarette smokingECGIMUrespirationRIPsignal processingsmoke exposurewearable sensor

Identifiers

PMID31661856
PMCPMC6864810

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.