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Your search keyword '"María Luisa Dotor-Castilla"' showing total 3 results
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3 results on '"María Luisa Dotor-Castilla"'

1. Are Activity Wrist-Worn Devices Accurate for Determining Heart Rate during Intense Exercise?

Author

Pilar Martín-Escudero, Ana María Cabanas, María Luisa Dotor-Castilla, Mercedes Galindo-Canales, Francisco Miguel-Tobal, Cristina Fernández-Pérez, Manuel Fuentes-Ferrer, and Romano Giannetti

Subjects
heart rate, wearables, physical exertion, exercise prescription, digital health, monitoring, Technology, Biology (General), QH301-705.5
Abstract

The market for wrist-worn devices is growing at previously unheard-of speeds. A consequence of their fast commercialization is a lack of adequate studies testing their accuracy on varied populations and pursuits. To provide an understanding of wearable sensors for sports medicine, the present study examined heart rate (HR) measurements of four popular wrist-worn devices, the (Fitbit Charge (FB), Apple Watch (AW), Tomtom runner Cardio (TT), and Samsung G2 (G2)), and compared them with gold standard measurements derived by continuous electrocardiogram examination (ECG). Eight athletes participated in a comparative study undergoing maximal stress testing on a cycle ergometer or a treadmill. We analyzed 1,286 simultaneous HR data pairs between the tested devices and the ECG. The four devices were reasonably accurate at the lowest activity level. However, at higher levels of exercise intensity the FB and G2 tended to underestimate HR values during intense physical effort, while the TT and AW devices were fairly reliable. Our results suggest that HR estimations should be considered cautiously at specific intensities. Indeed, an effective intervention is required to register accurate HR readings at high-intensity levels (above 150 bpm). It is important to consider that even though none of these devices are certified or sold as medical or safety devices, researchers must nonetheless evaluate wrist-worn wearable technology in order to fully understand how HR affects psychological and physical health, especially under conditions of more intense exercise.

Published
2023
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2. [Untitled]

Author

Romano Giannetti, Dolores Golmayo Fernández, Francisco Miguel-Tobal, Amaya Bilbao Monasterio, Pilar Martín Escudero, Sonnia María López-Silva, María Luisa Dotor Castilla, Mercedes Galindo Canales, and J.P. Silveira

Subjects
Artifact (error), Heartbeat, medicine.diagnostic_test, business.industry, Computer science, Biomedical Engineering, General Medicine, Signal, Photoplethysmogram, Heart rate, medicine, Computer vision, sense organs, Artificial intelligence, Treadmill, business, Electrocardiography, Simulation, Linear filter
Abstract

Photoplethysmography (PPG) is a non-invasive optical technique that can be used to quantify the arterial blood pulse rate. Signal corruption by motion artifacts limits the practical accuracy and applicability of instruments for monitoring pulse rate during intense physical exercise. This study develops and validates an algorithm, which is based on linear filtering and frequency-domain and heuristic analyses, for extracting the heart rate from a PPG signal in the presence of severe motion artifacts. The basis of the hearth beat frequency selection is the observed high harmonic content of movement artifact signals with respect to the PPG-derived heartbeat. The algorithm, implemented in an experimental PPG measurement device, is developed by analyzing a set of PPG data recorded from a group of athletes exercising on a treadmill. An extensive set of tests is carried out during maximal exercise tests on a treadmill to validate the proposed algorithm by comparison with a reference electrocardiography measurement system. The Bland-Altman method is used to compare and evaluate PPG signals. The accuracy of the heartbeat measurement is better than ± 6.5 beats per minute (bpm) ( ≤ 4.2 %) even under maximal exercise conditions.

Published
2012
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3. Near-infrared transmittance pulse oximetry with laser diodes

Author

Juan Pedro Silveira Martín, María Luisa Dotor Castilla, and Sonnia María López Silva

Subjects
Materials science, Spectrophotometry, Infrared, Laser diodes, Near infrared, Transducers, Biomedical Engineering, Sensitivity and Specificity, Semiconductor laser theory, law.invention, Fingers, Biomaterials, Optics, law, medicine, Transmittance, Humans, Oximetry, Oxygen saturation, Aged, Diode, Aged, 80 and over, medicine.diagnostic_test, business.industry, Lasers, Near-infrared spectroscopy, Reproducibility of Results, Signal Processing, Computer-Assisted, Middle Aged, Laser, Atomic and Molecular Physics, and Optics, Electronic, Optical and Magnetic Materials, Pulse oximetry, Oxygen, Semiconductors, Optical sensor, Calibration, Optoelectronics, Respiratory Insufficiency, business, Saturation (chemistry), Algorithms
Abstract

Pulse oximeters are widely used for noninvasive monitoring of oxygen saturation in arterial blood hemoglobin. We present a transmittance pulse oximetry system based on near-infrared (NIR) laser diodes (750 and 850 nm) for monitoring oxygen saturation of arterial blood hemoglobin. The pulse oximetry system is made up of the optical sensor, sensor electronics, and processing block. Also, we show experimental results obtained during the development of the whole NIR transmittance pulse oximetry system along with modifications in the sensor configuration, signal processing algorithm, and calibration procedure. Issues concerning wavelength selection and its implications for the improvement of the transmittance pulse oximetry technique are discussed. The results obtained demonstrate the proposed system’s usefulness in monitoring a wide range of oxygen saturation levels, SMLS is supported by Programa Ramo´n y Cajal from the Spanish Ministry of Science and Technology.

Published
2003
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