Evidence map›Paper›PMID 42817400›Full record

ArticleSensors (Basel, Switzerland)2026

System Integration and Participant-Level Validation of a Gate-Based Contactless Multimodal System for Railway Pre-Duty Screening.

Cheolwoo Lee, Taemyoung Yin

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Cheolwoo LeeSAFETYLAB Co., Ltd., 18 Bucheon-ro 198beon-gil, Wonmi-gu, Bucheon-si 14547, Republic of Korea.
Taemyoung YinDepartment of Railway Driving Systems Engineering, Songwon University, Gwangju 61756, Republic of Korea.

Funding

Korea Agency for Infrastructure Technology Advancement RS-2023-00239464
6 · The paper itself

Abstract

Railway pre-duty assessments require rapid, objective measurements that do not disrupt operational workflows. This study evaluated the system-level integration and participant-level measurement performance of a gate-based Through-Pass platform for railway pre-duty screening. The platform combines radio-frequency identification, infrared temperature sensing, camera-based remote photoplethysmography, breath-alcohol sensing, signal-quality control, edge processing, and rule-based screening. Participant-level method comparison was performed in 300 adults using paired Through-Pass and reference measurements of body temperature, heart rate, systolic and diastolic blood pressure, and blood alcohol concentration. Agreement was assessed using Bland-Altman analysis, concordance statistics, error metrics, Deming regression, and multivariable models of measurement error. Mean biases were close to zero for all five outcomes, and Lin's concordance correlation coefficients ranged from 0.938 to 0.995. After multiple-testing correction, measurement error showed no consistent associations with age, sex, body mass index, grouped Fitzpatrick skin type, or eyeglass use, whereas the reference-value magnitude was associated with error for diastolic blood pressure and blood alcohol concentration. These findings support the feasibility of integrating established sensing components into a unified pre-duty measurement platform under controlled indoor conditions; field and screening-classification validation remain necessary before operational implementation.

Indexed as

RailroadsAdultBlood PressureBody TemperatureEthanolFemaleHeart RateHumansMaleMiddle AgedPhotoplethysmographyEthanolBland–Altman analysisblood pressure estimationbreath alcohol detectioncontactless physiological monitoringmultimodal sensingoccupational health screeningpre-duty screeningrailway safetyremote photoplethysmography

Identifiers

PMID42817400
PMCPMC13611049

What OpenQuestion holds

Textmetadata
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.