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1.
Sensors (Basel) ; 22(19)2022 Sep 26.
Artículo en Inglés | MEDLINE | ID: mdl-36236399

RESUMEN

Mental workload (MW) represents the amount of brain resources required to perform concurrent tasks. The evaluation of MW is of paramount importance for Advanced Driver-Assistance Systems, given its correlation with traffic accidents risk. In the present research, two cognitive tests (Digit Span Test-DST and Ray Auditory Verbal Learning Test-RAVLT) were administered to participants while driving in a simulated environment. The tests were chosen to investigate the drivers' response to predefined levels of cognitive load to categorize the classes of MW. Infrared (IR) thermal imaging concurrently with heart rate variability (HRV) were used to obtain features related to the psychophysiology of the subjects, in order to feed machine learning (ML) classifiers. Six categories of models have been compared basing on unimodal IR/unimodal HRV/multimodal IR + HRV features. The best classifier performances were reached by the multimodal IR + HRV features-based classifiers (DST: accuracy = 73.1%, sensitivity = 0.71, specificity = 0.69; RAVLT: accuracy = 75.0%, average sensitivity = 0.75, average specificity = 0.87). The unimodal IR features based classifiers revealed high performances as well (DST: accuracy = 73.1%, sensitivity = 0.73, specificity = 0.73; RAVLT: accuracy = 71.1%, average sensitivity = 0.71, average specificity = 0.85). These results demonstrated the possibility to assess drivers' MW levels with high accuracy, also using a completely non-contact and non-invasive technique alone, representing a key advancement with respect to the state of the art in traffic accident prevention.


Asunto(s)
Conducción de Automóvil , Accidentes de Tránsito , Electrocardiografía , Humanos , Aprendizaje Automático , Carga de Trabajo
2.
Sensors (Basel) ; 19(24)2019 Dec 17.
Artículo en Inglés | MEDLINE | ID: mdl-31861123

RESUMEN

The development and validation of a system for multi-site photoplethysmography (PPG) and electrocardiography (ECG) is presented. The system could acquire signals from 8 PPG probes and 10 ECG leads. Each PPG probe was constituted of a light-emitting diode (LED) source at a wavelength of 940 nm and a silicon photomultiplier (SiPM) detector, located in a back-reflection recording configuration. In order to ensure proper optode-to-skin coupling, the probe was equipped with insufflating cuffs. The high number of PPG probes allowed us to simultaneously acquire signals from multiple body locations. The ECG provided a reference for single-pulse PPG evaluation and averaging, allowing the extraction of indices of cardiovascular status with a high signal-to-noise ratio. Firstly, the system was characterized on optical phantoms. Furthermore, in vivo validation was performed by estimating the brachial-ankle pulse wave velocity (baPWV), a metric associated with cardiovascular status. The validation was performed on healthy volunteers to assess the baPWV intra- and extra-operator repeatability and its association with age. Finally, the baPWV, evaluated via the developed instrumentation, was compared to that estimated with a commercial system used in clinical practice (Enverdis Vascular Explorer). The validation demonstrated the system's reliability and its effectiveness in assessing the cardiovascular status in arterial ageing.


Asunto(s)
Arterias/diagnóstico por imagen , Arterias/fisiología , Sistema Cardiovascular/diagnóstico por imagen , Electrocardiografía , Fotopletismografía , Adulto , Anciano , Anciano de 80 o más Años , Índice Tobillo Braquial , Humanos , Persona de Mediana Edad , Análisis de la Onda del Pulso , Rigidez Vascular , Adulto Joven
3.
IEEE Trans Biomed Circuits Syst ; 12(6): 1267-1277, 2018 12.
Artículo en Inglés | MEDLINE | ID: mdl-30489273

RESUMEN

This paper presents a sub-mW ASIC for multimodal brain monitoring. The ASIC is co-integrated with electrode(s) and optodes (i.e., optical source and detector) as an active sensor to measure electroencephalography (EEG), bio-impedance (BioZ), and near-infrared spectroscopy (NIRS) on scalp. The target is to build a wearable EEG-NIRS headset for low-cost functional brain imaging. The proposed NIRS readout utilizes the near-infrared light to measure the pulse oximetry and blood oxygen saturation (SpO2). While traditional photodiodes are supported, the readout also allows the use of silicon photomultipliers (SiPMs) as optical detectors. The SiPM improves optical sensitivity while significantly reducing the average power of two LEDs to 150 µW. On circuit level, a SAR-based calibration compensates maximum 40 µA current from ambient light, while digital DC-servo loops reduces the baseline static SiPM current up to 400 µA, leading to an overall dynamic range of 87 dB. The EEG readout exhibits 720 MΩ input impedance at 50 Hz. The BioZ readout has 3 mΩ/√(Hz) impedance sensitivity by employing dynamic circuit techniques. When EEG, BioZ, and NIRS are enabled at the same time, one ASIC consumes 665 µW including the power of LEDs.


Asunto(s)
Electroencefalografía/instrumentación , Neuroimagen Funcional/instrumentación , Procesamiento de Señales Asistido por Computador/instrumentación , Espectroscopía Infrarroja Corta/instrumentación , Dispositivos Electrónicos Vestibles , Encéfalo/fisiología , Equipos y Suministros Eléctricos , Diseño de Equipo , Humanos , Masculino
4.
Biomed Opt Express ; 9(10): 4679-4688, 2018 Oct 01.
Artículo en Inglés | MEDLINE | ID: mdl-30319895

RESUMEN

In this work, we investigate some major issues for the use of silicon photomultiplier (SiPM) devices in continuous wave functional near-infrared spectroscopy (CW fNIRS). We analyzed the after-pulsing effect, proposing the physical mechanism causing it, and determining its relevance for CW fNIRS. We studied the SiPM transients occurring as the SiPM device goes from the dark (LED in off state) to the illumination (LED in on state) conditions, and vice-versa. Finally, we studied the SiPM SNR in standard CW fNIRS operation.

5.
Neurophotonics ; 4(3): 035002, 2017 Jul.
Artículo en Inglés | MEDLINE | ID: mdl-28983487

RESUMEN

We report development, testing, and in vivo characterization of a multichannel optical probe for continuous wave (CW) functional near-infrared spectroscopy (fNIRS) that relies on silicon photomultipliers (SiPMs) detectors. SiPMs are cheap, low voltage, and robust semiconductor light detectors with performances analogous to photomultiplier tubes (PMTs). In contrast with PMTs, SiPMs allow direct contact with the head and transfer of the analog signals through thin cables greatly increasing the system flexibility avoiding optical fibers. The coupling of SiPMs and light-emitting diodes (LEDs) made the optical probe lightweight and robust against motion artifacts. After characterization of SiPM performances, which was proven to provide a noise equivalent power below 3 fW, the apparatus was compared through an in vivo experiment to a commercial system relying on laser diodes, PMTs, and optical fibers for light probing and detection. The optical probes were located over the primary sensorimotor cortex and the similarities between the hemodynamic responses to the contralateral motor task were assessed. When compared to other state-of-the-art wearable fNIRS systems, where photodiode detectors are employed, the single photon sensitivity and dynamic range of SiPMs can fully exploit the long and variable interoptode distances needed for correct estimation of brain hemodynamics using CW-fNIRS.

6.
Biomed Opt Express ; 7(4): 1183-92, 2016 Apr 01.
Artículo en Inglés | MEDLINE | ID: mdl-27486551

RESUMEN

We experimentally analyze the signal-to-noise ratio of continuous wave (CW) near infrared spectroscopy (NIRS) reflectance systems based on light emitting diodes and silicon photomultipliers for high performance low cost NIRS biomedical systems. We show that under suitable experimental conditions such systems exhibit a high SNR, which allows an SDS of 7 cm, to our knowledge the largest ever demonstrated in a CW-NIRs system.

7.
Sensors (Basel) ; 10(12): 10828-36, 2010.
Artículo en Inglés | MEDLINE | ID: mdl-22163500

RESUMEN

New equations for paralyzable, non paralyzable and hybrid DT models, valid for any time dependent sources are presented. We show how such new equations include the equations already used for constant rate sources, and how it's is possible to correct DT losses in the case of time dependent sources. Montecarlo simulations were performed to compare the equations behavior with the three DT models. Excellent accordance between equations predictions and Montecarlo simulation was found. We also obtain good results in the experimental validation of the new hybrid DT equation. Passive quenched SPAD device was chosen as a device affected by hybrid DT losses and active quenched SPAD with 50 ns DT was used as DT losses free device.


Asunto(s)
Cómputos Matemáticos , Modelos Teóricos , Procesamiento de Señales Asistido por Computador , Simulación por Computador , Generalización Psicológica , Láseres de Semiconductores/normas , Modelos Biológicos , Método de Montecarlo , Procesamiento de Señales Asistido por Computador/instrumentación , Factores de Tiempo
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