Evidence map›Paper›PMID 40292968›Full record

ReviewSensors (Basel, Switzerland)2025

Recent Advances in Vehicle Driver Health Monitoring Systems.

Lauris Melders, Ruslans Smigins, Aivars Birkavs

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Automotive Health 2.0: Steering Toward Proactive Preventive Care.Mayo Clinic proceedings. Digital health · 2026
    Article
  2. Article
  3. 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

3 authors.

Lauris MeldersFaculty of Engineering and Information Technologies, Latvia University of Life Sciences and Technologies, LV3001 Jelgava, Latvia.ORCID 0009-0004-1943-6346
Ruslans SmiginsFaculty of Engineering and Information Technologies, Latvia University of Life Sciences and Technologies, LV3001 Jelgava, Latvia.ORCID 0000-0002-1953-6185
Aivars BirkavsFaculty of Engineering and Information Technologies, Latvia University of Life Sciences and Technologies, LV3001 Jelgava, Latvia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The need for creative solutions in the real-time monitoring of health is rapidly increasing, especially in light of health incidents in relation to drivers of motor vehicles. A sensor-based health monitoring system provides an integrated mechanism for diagnosing and managing in real time, enabling the detection, prediction, and recommendation of treatment and the prevention of disease onset. The real-time monitoring of driver's health represents a significant advancement in the assurance of driver safety and well-being. From fitness trackers to advanced biosensors, these devices have not only made healthcare more accessible but have also transformed how people interact with their health data. The purpose of this scoping review is to systematically collect and evaluate information from publications on driver health monitoring systems to provide a comprehensive overview of the current state of research on wearable or remote sensor technologies for driver health monitoring. It aims to identify knowledge gaps that need to be addressed and suggest future research directions that will help to fill these gaps. This approach involves the topic of vehicle safety and healthcare and will contribute to the advancement of this field. By focusing on the real-time monitoring of health parameters in an automotive context, this review highlights the potential of different types of technologies to bridge the gap between health monitoring and driver safety.

Indexed as

Automobile DrivingBiosensing TechniquesFitness TrackersHumansMonitoring, PhysiologicMotor VehiclesWearable Electronic Devicesadvanced wearable devicesbiosensorsdriver health monitoringremote health devices

Identifiers

PMID40292968
PMCPMC11946474

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.