0000000000598706

AUTHOR

Raimondo Rizzo

showing 6 related works from this author

Functional Near Infrared Spectroscopy System Validation for Simultaneous EEG-FNIRS Measurements

2019

Functional near-infrared spectroscopy (fNIRS) applied to brain monitoring has been gaining increasing relevance in the last years due to its not invasive nature and the capability to work in combination with other well–known techniques such as the EEG. The possible use cases span from neural-rehabilitation to early diagnosis of some neural diseases. In this work a wireline FPGA–based fNIRS system, that use SiPM sensors and dual-wavelength LED sources, has been designed and validated to work with a commercial EEG machine without reciprocal interference.

medicine.diagnostic_testbusiness.industryComputer sciencePattern recognitionFPGA System on Chip EEG-fNIRS Silicon PhotomultiplierBrain monitoringElectroencephalographySettore ING-INF/01 - ElettronicaSilicon photomultiplierSettore ING-INF/06 - Bioingegneria Elettronica E InformaticamedicineFunctional near-infrared spectroscopySystem validationArtificial intelligencebusiness
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Exploring FPGA Based Lock-in Techniques for Brain Monitoring Applications

2017

Functional Near Infrared Spectroscopy (fNIRS) systems for e-health applications usually suffer of poor signal detection mainly due to a low end-to-end signal to noise ratio of the electronics chain. Lock-In Amplifiers (LIA) historically represent a powerful technique helping to improve performances in such circumstances. In this work it has been designed and implemented a digital LIA system, based on a Zynq® Field Programmable Gate Array (FPGA), trying to explore if this technique might improve fNIRS system performances. More broadly, FPGA based solution flexibility has been investigated, with particular emphasis applied to digital filter parameters, needed in the digital LIA, and i…

Computer sciencebusiness.industryNoise (signal processing)Emphasis (telecommunications)Signallaw.inventionMicroprocessorlawelectrical_electronic_engineeringVHDLDetection theorybusinessField-programmable gate arrayDigital filtercomputerComputer hardwarecomputer.programming_language
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Fiberless, Multi-Channel fNIRS-EEG System Based on Silicon Photomultipliers: Towards Sensitive and Ecological Mapping of Brain Activity and Neurovasc…

2020

Portable neuroimaging technologies can be employed for long-term monitoring of neurophysiological and neuropathological states. Functional Near-Infrared Spectroscopy (fNIRS) and Electroencephalography (EEG) are highly suited for such a purpose. Their multimodal integration allows the evaluation of hemodynamic and electrical brain activity together with neurovascular coupling. An innovative fNIRS-EEG system is here presented. The system integrated a novel continuous-wave fNIRS component and a modified commercial EEG device. fNIRS probing relied on fiberless technology based on light emitting diodes and silicon photomultipliers (SiPMs). SiPMs are sensitive semiconductor detectors, whose large…

clinical brain monitoringBrain activity and meditationComputer scienceneurovascular couplingElectroencephalographylcsh:Chemical technologySettore ING-INF/01 - Elettronica01 natural sciencesBiochemistryArticleAnalytical Chemistry010309 optics03 medical and health sciences0302 clinical medicineSilicon photomultiplierNeuroimagingInterference (communication)Component (UML)0103 physical sciencesmedicineHumanslcsh:TP1-1185electroencephalography (EEG)Electrical and Electronic EngineeringSpectroscopyInstrumentationBrain MappingSpectroscopy Near-Infraredmedicine.diagnostic_testEcologyHemodynamicsmultimodal neuroimagingBrainMultimodal neuroimagingElectroencephalographyNeurophysiologyAtomic and Molecular Physics and Opticsmedicine.anatomical_structureFPGA Brain Oxygenation Map clinical brain monitoringScalpSettore ING-INF/06 - Bioingegneria Elettronica E Informaticasilicon photomultipliers.Neurovascular couplingsilicon photomultipliers030217 neurology & neurosurgeryfunctional near infrared spectroscopy (fNIRS)Sensors
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Exploring FPGA‐Based Lock‐In Techniques for Brain  Monitoring Applications

2017

Functional near‐infrared spectroscopy (fNIRS) systems for e‐health applications usually suffer from poor signal detection, mainly due to a low end‐to‐end signal‐to‐noise ratio of the electronics chain. Lock‐in amplifiers (LIA) historically represent a powerful technique helping to improve performance in such circumstances. In this work a digital LIA system, based on a Zynq® field programmable gate array (FPGA) has been designed and implemented, in an attempt to explore if this technique might improve fNIRS system performance. More broadly, FPGA‐based solution flexibility has been investigated, with particular emphasis applied to digital filter parameters, needed in the digital LIA, and its …

Engineeringhardware description language (HDL) near‐infrared  spectroscopy (NIRS)light emitting diode (LED)Computer Networks and Communicationslcsh:TK7800-836002 engineering and technologysilicon photomultiplier (SiPM)Settore ING-INF/01 - Elettronica01 natural sciencesSignaldigital lock‐in amplifier (DLIA)law.invention hardware description language (HDL)microprocessorslawVHDL0202 electrical engineering electronic engineering information engineeringElectronic engineeringDetection theoryElectrical and Electronic EngineeringField-programmable gate arraycomputer.programming_languagebusiness.industryNoise (signal processing)lcsh:Electronics010401 analytical chemistryEmphasis (telecommunications)near‐infrared spectroscopy (NIRS)020206 networking & telecommunications0104 chemical sciences light emitting diode (LED) microprocessorsfield programmable gate array (FPGA)Microprocessordigital lock‐in amplifier (DLIA)Hardware and ArchitectureControl and Systems EngineeringSignal Processingbusinessdigital lock‐in amplifier (DLIA); field programmable gate array (FPGA); near‐infrared  spectroscopy (NIRS); hardware description language (HDL); light emitting diode (LED); silicon  photomultiplier (SiPM); microprocessors field programmable gate array (FPGA) silicon  photomultiplier (SiPM)Digital filtercomputerComputer hardwareElectronics
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FPGA based digital lock-in amplifier for fNIRS systems

2018

Lock-In Amplifiers (LIA) represent a powerful technique helping to improve signals detectability when low signal to noise ratios are experienced. Continuous Wave functional Near Infrared Spectroscopy (CW-fNIRS) systems for e-health applications usually suffer of poor detection due to the presence of strong attenuations of the optical recovering path and therefore small signals are severely dipped in a high noise floor. In this work a digital LIA system, implemented on a Zynq® Field Programmable Gate Array (FPGA), has been designed and tested to verify the quality of the developed solution, when applied in fNIRS systems. Experimental results have shown the goodness of the proposed solutions.

010302 applied physicsComputer scienceAmplifier0206 medical engineeringLock-in amplifierDigital lock-in amplifier02 engineering and technology020601 biomedical engineering01 natural sciencesNoise floorSettore ING-INF/01 - ElettronicaSilicon photomultiplier (SiPM)Quality (physics)0103 physical sciencesElectronic engineeringContinuous waveFunctional near-infrared spectroscopyField-programmable gate arrayFpgaFunctional near-infrared spectroscopy
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Wearable, Fiber-less, Multi-Channel System for Continuous Wave Functional Near Infrared Spectroscopy Based on Silicon Photomultipliers Detectors and …

2019

Development and in-vivo validation of a Continuous Wave (CW) functional Near Infrared Spectroscopy (fNIRS) system is presented. The system is wearable, fiber-less, multi-channel (16×16, 256 channels) and expandable and it relies on silicon photomultipliers (SiPMs) for light detection. SiPMs are inexpensive, low voltage and resilient semiconductor light detectors, whose performances are analogous to photomultiplier tubes (PMTs). The advantage of SiPMs with respect to PMTs is that they allow direct contact with the scalp and avoidance of optical fibers. In fact, the coupling of SiPMs and light emitting diodes (LEDs) allows the transfer of the analog signals to and from the scalp through thin …

PhotomultiplierSpectroscopy Near-InfraredOptical fiberMaterials scienceDynamic rangebusiness.industryDetectorBrainElectroencephalographySignal Processing Computer-Assisted01 natural scienceslaw.invention010309 opticsWearable Electronic Devices03 medical and health sciences0302 clinical medicineSilicon photomultiplierAnalog signallaw0103 physical sciencesOptoelectronicsPhotonicsbusinessOptical filter030217 neurology & neurosurgery2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
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