Evidence map›Paper›PMID 42783153›Full record

ArticleBiosensors2026

Wearable and Invisible ECG Quality and Usability Assessment in Cockpit Monitoring.

Mariangela Pinnelli, Ana Sofia Antunes Calado, Tiago Filipe Rodrigues Fernandes, Paulo Sérgio de Brito André, Emiliano Schena, Carlo Massaroni, Hugo Plácido da Silva

Abstract read
In one paragraph

Article in Biosensors, 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

7 authors.

Mariangela PinnelliDepartment of Engineering, Università Campus Bio-Medico di Roma, 00128 Rome, Italy.ORCID 0009-0004-3357-8615
Ana Sofia Antunes CaladoInstituto de Telecomunicações, Instituto Superior Técnico, 1049-001 Lisbon, Portugal.
Tiago Filipe Rodrigues FernandesInstituto de Telecomunicações, Instituto Superior Técnico, 1049-001 Lisbon, Portugal.
Paulo Sérgio de Brito AndréInstituto de Telecomunicações, Instituto Superior Técnico, 1049-001 Lisbon, Portugal.
Emiliano SchenaDepartment of Engineering, Università Campus Bio-Medico di Roma, 00128 Rome, Italy.ORCID 0000-0002-9696-1265
Carlo MassaroniDepartment of Engineering, Università Campus Bio-Medico di Roma, 00128 Rome, Italy.ORCID 0000-0002-3090-5623
Hugo Plácido da SilvaInstituto de Telecomunicações, Instituto Superior Técnico, 1049-001 Lisbon, Portugal.ORCID 0000-0001-6764-8432

Funding

Foundation for Science and Technology UID/50008/2025, Instituto de TelecomunicaçõesLISBOA2030-640 FEDER-01318700 EU funds through LISBOA 2030, Portugal 2030, under LISBOA2030-640 FEDER-01318700
6 · The paper itself

Abstract

Continuous physiological monitoring can support pilot-state assessment, but routine cockpit use requires sensing approaches that are both unobtrusive and physiologically reliable. Wearable ECG (wECG) provides stable cardiac recordings through skin-contact electrodes, whereas cockpit-integrated invisible ECG (iECG) can reduce user burden by acquiring signals through instrumented controls. However, iECG depends on intermittent hand contact and may show incomplete ECG morphology even when cardiac timing information is still preserved. This study proposes a window-based framework to assess the quality and task-specific usability of simultaneous wECG and iECG acquired during simulated flight. ECG data were collected in an Airbus A320 simulator from 14 volunteers, including experienced pilots and novices. The framework combines contact availability, R-peak reliability, PQRST morphology, and complementary signal quality indices into graded usability classes for heart rate (HR)-oriented monitoring. The iECG channel remained accessible for most of the analyzed recording time, with 93.8% of windows showing full or partial contact. Several windows classified as low quality by individual SQIs were retained as HR-usable when contact and R-peak timing remained reliable, indicating that single-metric rejection can be overly conservative for external-contact ECG. HR agreement supported the physiological relevance of the proposed classes: concordant wECG-iECG windows showed a mean absolute error (MAE) of 1.1 bpm, compared with 7.1 bpm for discordant windows. Bland-Altman analysis for iECG windows classified as usable for HR estimation showed a small mean bias of 1.4 bpm. These findings indicate that incomplete ECG morphology does not necessarily imply loss of HR usability, and that contact-aware, task-specific classification can preserve useful physiological information from unobtrusive cockpit interfaces.

Indexed as

ElectrocardiographyWearable Electronic DevicesHeart RateHumansMonitoring, Physiologiccockpit monitoringelectrocardiographyheart rate estimationinvisible ECGpilot workloadprinted electrodessignal quality assessmentwearable ECG

Identifiers

PMID42783153
PMCPMC13604650

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.