ReviewSensors (Basel, Switzerland)2020
Unobtrusive Health Monitoring in Private Spaces: The Smart Vehicle.
Review in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses that pooled 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.
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.
Who cites it
24 citing papers in PubMed, 2 syntheses or guidelines pooled it, 66 citations in OpenAlex.
- Automated Features, Algorithms, and Technologies of Electronic Early Warning/Track-and-Trigger Systems: Systematic Review.Journal of medical Internet research · 2026Pooled it
- Continuous Monitoring of Vital Signs Using Cameras: A Systematic Review.Sensors (Basel, Switzerland) · 2022Pooled it
- AI-Driven Smart Cockpit: Monitoring of Sudden Illnesses, Health Risk Intervention, and Future Prospects.Sensors (Basel, Switzerland) · 2025Review
- A comprehensive review of heart rate measurement using remote photoplethysmography and deep learning.Biomedical engineering online · 2025Review
- Wearable Spine Tracker vs. Video-Based Pose Estimation for Human Activity Recognition.Sensors (Basel, Switzerland) · 2025Article
- Respiratory Monitoring with Textile Inductive Electrodes in Driving Applications: Effect of Electrode's Positioning and Form Factor on Signal Quality.Sensors (Basel, Switzerland) · 2025Article
- A Quantitative Method to Guide the Integration of Textile Inductive Electrodes in Automotive Applications for Respiratory Monitoring.Sensors (Basel, Switzerland) · 2024Article
- The applicability of noncontact sensors in the field of rehabilitation medicine.Journal of Yeungnam medical science · 2024Article
- Robust in-vehicle heartbeat detection using multimodal signal fusion.Scientific reports · 2023Article
- Robust in-vehicle respiratory rate detection using multimodal signal fusion.Scientific reports · 2023Article
- Stress Level Detection Based on the Capacitive Electrocardiogram Signals of Driving Subjects.Sensors (Basel, Switzerland) · 2023Article
- A Portable Multi-Modal Cushion for Continuous Monitoring of a Driver's Vital Signs.Sensors (Basel, Switzerland) · 2023Article
- Accident & Emergency Informatics and One Digital Health.Yearbook of medical informatics · 2022Article
- Body Acoustics for the Non-Invasive Diagnosis of Medical Conditions.Bioengineering (Basel, Switzerland) · 2022Review
- Advanced e-Call Support Based on Non-Intrusive Driver Condition Monitoring for Connected and Autonomous Vehicles.Sensors (Basel, Switzerland) · 2021Article
- Signal Quality Index Based on Template Cross-Correlation in Multimodal Biosignal Chair for Smart Healthcare.Sensors (Basel, Switzerland) · 2021Article
- Design of Smart Steering Wheel for Unobtrusive Health and Drowsiness Monitoring.Sensors (Basel, Switzerland) · 2021Article
- Automatic Information Exchange in the Early Rescue Chain Using the International Standard Accident Number (ISAN).Healthcare (Basel, Switzerland) · 2021Article
- Notable Papers and New Directions in Sensors, Signals, and Imaging Informatics.Yearbook of medical informatics · 2021Review
- Proposing an International Standard Accident Number for Interconnecting Information and Communication Technology Systems of the Rescue Chain.Methods of information in medicine · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Unobtrusive in-vehicle health monitoring has the potential to use the driving time to perform regular medical check-ups. This work intends to provide a guide to currently proposed sensor systems for in-vehicle monitoring and to answer, in particular, the questions: (1) Which sensors are suitable for in-vehicle data collection? (2) Where should the sensors be placed? (3) Which biosignals or vital signs can be monitored in the vehicle? (4) Which purposes can be supported with the health data? We reviewed retrospective literature systematically and summarized the up-to-date research on leveraging sensor technology for unobtrusive in-vehicle health monitoring. PubMed, IEEE Xplore, and Scopus delivered 959 articles. We firstly screened titles and abstracts for relevance. Thereafter, we assessed the entire articles. Finally, 46 papers were included and analyzed. A guide is provided to the currently proposed sensor systems. Through this guide, potential sensor information can be derived from the biomedical data needed for respective purposes. The suggested locations for the corresponding sensors are also linked. Fifteen types of sensors were found. Driver-centered locations, such as steering wheel, car seat, and windscreen, are frequently used for mounting unobtrusive sensors, through which some typical biosignals like heart rate and respiration rate are measured. To date, most research focuses on sensor technology development, and most application-driven research aims at driving safety. Health-oriented research on the medical use of sensor-derived physiological parameters is still of interest.
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What OpenQuestion holds
Registered trials
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.