Evidence map›Paper›PMID 29607211›Full record

ArticleElectronics2017

Development of a Multisensory Wearable System for Monitoring Cigarette Smoking Behavior in Free-Living Conditions.

Masudul Haider Imtiaz, Raul I Ramos-Garcia, Volkan Yusuf Senyurek, Stephen Tiffany, Edward Sazonov

Open access · goldAbstract read
In one paragraph

Article in Electronics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 2 pooled it
3.0field-weighted citation impact, top 9% 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

21 citing papers in PubMed, 2 syntheses or guidelines pooled it, 43 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Article
  6. Smartphone and Wearable Device-Based Digital Phenotyping to Understand Substance use and its Syndemics.Journal of medical toxicology : official journal of the American College of Medical Toxicology · 2024
    Article
  7. An Update on the Use of Wearable Devices in Men's Health.The world journal of men's health · 2023
    Review
  8. Article
  9. Article
  10. SmokeMon: Unobtrusive Extraction of Smoking Topography Using Wearable Energy-Efficient Thermal.Proceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies · 2022
    Article
  11. Observational
  12. Feasibility Assessment of Wearable Respiratory Monitors for Ambulatory Inhalation Topography.International journal of environmental research and public health · 2021
    Article
  13. Article
  14. Wearable Egocentric Camera as a Monitoring Tool of Free-Living Cigarette Smoking: A Feasibility Study.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2020
    Article
  15. Computation of Cigarette Smoke Exposure Metrics From Breathing.IEEE transactions on bio-medical engineering · 2020
    Article
  16. Article
  17. Article
  18. Article
  19. 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 at 2 institutions in 1 country.

Masudul Haider ImtiazDepartment of Electrical and Computer Engineering, The University of Alabama, Tuscaloosa, AL 35487, USA.
Raul I Ramos-GarciaDepartment of Electrical and Computer Engineering, The University of Alabama, Tuscaloosa, AL 35487, USA.
Volkan Yusuf SenyurekDepartment of Electrical and Computer Engineering, The University of Alabama, Tuscaloosa, AL 35487, USA.
Stephen TiffanyDepartment of Psychology, University at Buffalo, The State University of New York, Buffalo, NY 14260, USA.
Edward SazonovDepartment of Electrical and Computer Engineering, The University of Alabama, Tuscaloosa, AL 35487, USA.
University of Alabama · USUniversity at Buffalo, State University of New York · US

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
NIDA NIH HHS R01 DA035828
6 · The paper itself

Abstract

This paper presents the development and validation of a novel multi-sensory wearable system (Personal Automatic Cigarette Tracker v2 or PACT2.0) for monitoring of cigarette smoking in free-living conditions. The contributions of the PACT2.0 system are: (1) the implementation of a complete sensor suite for monitoring of all major behavioral manifestations of cigarette smoking (lighting events, hand-to-mouth gestures, and smoke inhalations); (2) a miniaturization of the sensor hardware to enable its applicability in naturalistic settings; and (3) an introduction of new sensor modalities that may provide additional insight into smoking behavior e.g., Global Positioning System (GPS), pedometer and Electrocardiogram(ECG) or provide an easy-to-use alternative (e.g., bio-impedance respiration sensor) to traditional sensors. PACT2.0 consists of three custom-built devices: an instrumented lighter, a hand module, and a chest module. The instrumented lighter is capable of recording the time and duration of all lighting events. The hand module integrates Inertial Measurement Unit (IMU) and a Radio Frequency (RF) transmitter to track the hand-to-mouth gestures. The module also operates as a pedometer. The chest module monitors the breathing (smoke inhalation) patterns (inductive and bio-impedance respiratory sensors), cardiac activity (ECG sensor), chest movement (three-axis accelerometer), hand-to-mouth proximity (RF receiver), and captures the geo-position of the subject (GPS receiver). The accuracy of PACT2.0 sensors was evaluated in bench tests and laboratory experiments. Use of PACT2.0 for data collection in the community was validated in a 24 h study on 40 smokers. Of 943 h of recorded data, 98.6% of the data was found usable for computer analysis. The recorded information included 549 lighting events, 522/504 consumed cigarettes (from lighter data/self-registered data, respectively), 20,158/22,207 hand-to-mouth gestures (from hand IMU/proximity sensor, respectively) and 114,217/112,175 breaths (from the respiratory inductive plethysmograph (RIP)/bio-impedance sensor, respectively). The proposed system scored 8.3 ± 0.31 out of 10 on a post-study acceptability survey. The results suggest that PACT2.0 presents a reliable platform for studying of smoking behavior at the community level.

Indexed as

accelerometerbio-impedancecigarette smokingECGGPSPACTRIP

Identifiers

PMID29607211
PMCPMC5877467
OpenAlexW2769920475

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.