Evidence map›Paper›PMID 40285266›Full record

ArticleSensors (Basel, Switzerland)2025

Breath-by-Breath Measurement of Respiratory Frequency and Tidal Volume with a Multiple-Camera Motion Capture System During Cycling Incremental Exercise.

Carlo Massaroni, Andrea Nicolò, Ana Luiza de Castro Lopes, Chiara Romano, Mariangela Pinnelli, Karine Sarro, Emiliano Schena, Pietro Cerveri, Massimo Sacchetti, Sergio Silvestri and 1 more

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. 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

11 authors.

Carlo MassaroniUnit of Measurements and Biomedical Instrumentation, Departmental Faculty of Engineering, Università Campus Bio-Medico di Roma, 00128 Rome, Italy.ORCID 0000-0002-3090-5623
Andrea NicolòDepartment of Movement, Human and Health Sciences, University of Rome "Foro Italico", 00135 Rome, Italy.ORCID 0000-0002-4716-1667
Ana Luiza de Castro LopesFaculdade de Educação Física, Universidade Estadual de Campinas, Campinas 13083-970, Brazil.
Chiara RomanoUnit of Measurements and Biomedical Instrumentation, Departmental Faculty of Engineering, Università Campus Bio-Medico di Roma, 00128 Rome, Italy.ORCID 0000-0003-3525-0213
Mariangela PinnelliUnit of Measurements and Biomedical Instrumentation, Departmental Faculty of Engineering, Università Campus Bio-Medico di Roma, 00128 Rome, Italy.ORCID 0009-0004-3357-8615
Karine SarroFaculdade de Educação Física, Universidade Estadual de Campinas, Campinas 13083-970, Brazil.
Emiliano SchenaUnit of Measurements and Biomedical Instrumentation, Departmental Faculty of Engineering, Università Campus Bio-Medico di Roma, 00128 Rome, Italy.ORCID 0000-0002-9696-1265
Pietro CerveriDipartimento di Elettronica Informazione e Bioingegneria, Politecnico di Milano, 20133 Milano, Italy.ORCID 0000-0003-3995-8673
Massimo SacchettiDepartment of Movement, Human and Health Sciences, University of Rome "Foro Italico", 00135 Rome, Italy.ORCID 0000-0002-5365-5161
Sergio SilvestriUnit of Measurements and Biomedical Instrumentation, Departmental Faculty of Engineering, Università Campus Bio-Medico di Roma, 00128 Rome, Italy.ORCID 0000-0002-5863-8336
Amanda Piaia SilvattiDepartamento de Educação Física, Universidade Federal de Viçosa, Viçosa 36570-900, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study evaluates the performance of a 32-marker motion capture (MoCap) system in estimating respiratory frequency (fR) and tidal volume (VT) during cycling exercise. Fourteen well-trained cyclists performed an incremental step test on a cycle ergometer, while simultaneously recording a raw flow signal with a reference metabolic cart (COSMED) and respiratory-induced torso movements with twelve optoelectronic cameras registering the position of 32 markers affixed to the torso. fR and VT were calculated from both systems on a breath-by-breath basis. The MoCap system showed a strong correlation with the COSMED system when measuring fR and VT (r2 = 0.99, r2 = 0.87, respectively) during exercise. For fR, the mean absolute error (MAE) and mean absolute percentage error (MAPE) were 0.79 breaths/min and 2.1%, respectively. For VT, MoCap consistently underestimated values compared to COSMED, showing a bias (MOD ± LOA) of -0.11 ± 0.42 L and MAPE values of 8%. These findings highlight the system's capabilities for real-time respiratory monitoring in athletic environments.

Indexed as

BicyclingExerciseRespiratory RateTidal VolumeAdultExercise TestHumansMaleMonitoring, PhysiologicMotionMotion CaptureRespirationYoung Adultbreathing biomechanicsbreathing monitoringincremental exercisemeasurementsmotion capture systemsvalidity

Identifiers

PMID40285266
PMCPMC12031557

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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.