Evidence map›Paper›PMID 36080890›Full record

ArticleSensors (Basel, Switzerland)2022

A Smart Wristband Integrated with an IoT-Based Alarming System for Real-Time Sweat Alcohol Monitoring.

Kodchakorn Khemtonglang, Nataphiya Chaiyaphet, Tinnakorn Kumsaen, Chanyamon Chaiyachati, Oranat Chuchuen

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.6field-weighted citation impact, top 18% 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

4 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
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 1 institution in 1 country.

Kodchakorn KhemtonglangDepartment of Chemical Engineering, Faculty of Engineering, Khon Kaen University, Khon Kaen 40002, Thailand.ORCID 0000-0003-4106-0790
Nataphiya ChaiyaphetDepartment of Chemical Engineering, Faculty of Engineering, Khon Kaen University, Khon Kaen 40002, Thailand.
Tinnakorn KumsaenDepartment of Chemical Engineering, Faculty of Engineering, Khon Kaen University, Khon Kaen 40002, Thailand.
Chanyamon ChaiyachatiDepartment of Chemical Engineering, Faculty of Engineering, Khon Kaen University, Khon Kaen 40002, Thailand.
Oranat ChuchuenDepartment of Chemical Engineering, Faculty of Engineering, Khon Kaen University, Khon Kaen 40002, Thailand.ORCID 0000-0002-4152-683X
Khon Kaen University · TH

Funding

Faculty of Engineering, Khon Kaen University Project_Che-2563/28
6 · The paper itself

Abstract

Breathalyzer is a common approach to measuring blood alcohol concentration (BAC) levels of individuals suspected of drunk driving. Nevertheless, this device is relatively high-cost, inconvenient for people with limited breathing capacity, and risky for COVID-19 exposure. Here, we designed and developed a smart wristband integrating a real-time noninvasive sweat alcohol metal oxide (MOX) gas sensor with a Drunk Mate, an Internet of Thing (IoT)-based alarming system. A MOX sensor acquired transdermal alcohol concentration (TAC) which was converted to BAC and sent via the IoT network to the Blynk application platform on a smartphone, triggering alarming messages on LINE Notify. A user would receive an immediate alarming message when his BAC level reached an illegal alcohol concentration limit (BAC 50 mg%; TAC 0.70 mg/mL). The sensor readings showed a high linear correlation with TAC (R2 = 0.9815; limit of detection = 0.045 mg/mL) in the range of 0.10−1.05 mg/mL alcohol concentration in artificial sweat, achieving an accuracy of 94.66%. The sensor readings of ethanol in water were not statistically significantly different (p > 0.05) from the measurements in artificial sweat and other sweat-related solutions, suggesting that the device responded specifically to ethanol and was not affected by other electrolytes in the artificial sweat. Moreover, the device could continuously monitor TAC levels simulated in real-time in an artificial sweat testing system. With the integration of an IoT-based alarming system, the smart wristband developed from a commercial gas sensor presented here offers a promising low-cost MOX gas sensor monitoring technology for noninvasive and real-time sweat alcohol measurement and monitoring.

Indexed as

COVID-19SweatBlood Alcohol ContentEthanolHumansSmartphoneBlood Alcohol ContentEthanolInternet of Things (IoT)metal oxide (MOX) gas sensornoninvasive sweat alcohol monitoringwearable sensor

Identifiers

PMID36080890
PMCPMC9460546
OpenAlexW4293660863

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.