SENSOR SYSTEMS AND METHODS FOR CHARACTERIZING HEALTH CONDITIONS
A sensing system for non-contact determination of a presence or absence of a condition of a subject comprising: a housing which houses a vibroacoustic sensor module for sensing vibroacoustic signals and comprising a voice coil component, a magnet component, a connector and a diaphragm; and an Echo D...
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Format | Patent |
Language | English French German |
Published |
28.06.2023
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Subjects | |
Online Access | Get full text |
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Abstract | A sensing system for non-contact determination of a presence or absence of a condition of a subject comprising: a housing which houses a vibroacoustic sensor module for sensing vibroacoustic signals and comprising a voice coil component, a magnet component, a connector and a diaphragm; and an Echo Doppler sensor module including at least one emitter component and at least one receiver component; the vibroacoustic sensor module and Echo Doppler sensor module being communicatively connected to a processor of a computing device having a memory storing executable instructions that, when executed by the processor, cause the processor to: receive vibroacoustic signal data corresponding to the subject; receive ultrasound signal data corresponding to the subject; and output, based on the received vibroacoustic signal data and the ultrasound signal data and using a trained machine learning model, an indication of the presence or absence of the condition in the subject. |
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AbstractList | A sensing system for non-contact determination of a presence or absence of a condition of a subject comprising: a housing which houses a vibroacoustic sensor module for sensing vibroacoustic signals and comprising a voice coil component, a magnet component, a connector and a diaphragm; and an Echo Doppler sensor module including at least one emitter component and at least one receiver component; the vibroacoustic sensor module and Echo Doppler sensor module being communicatively connected to a processor of a computing device having a memory storing executable instructions that, when executed by the processor, cause the processor to: receive vibroacoustic signal data corresponding to the subject; receive ultrasound signal data corresponding to the subject; and output, based on the received vibroacoustic signal data and the ultrasound signal data and using a trained machine learning model, an indication of the presence or absence of the condition in the subject. |
Author | KRAWCZYK, Steve KIRKOS, Gregory A KNEZEVIC, Nikola SCHUH, Andreas MORIMOTO, Michael KATSIS, Dimosthenis REXELIUS, Peter JUMBE, Nelson L HAMMOND, Kevin KRAWIEC, Krzysztof |
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DocumentTitleAlternate | SENSORSYSTEME UND VERFAHREN ZUR CHARAKTERISIERUNG VON GESUNDHEITSZUSTÄNDEN SYSTÈMES DE DÉTECTION ET PROCÉDÉS DE CARACTÉRISATION DE PROBLÈMES DE SANTÉ |
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RelatedCompanies | Knezevic, Nikola Krawiec, Krzysztof Jumbe, Nelson L Katsis, Dimosthenis Krawczyk, Steve Schuh, Andreas Morimoto, Michael Rexelius, Peter Level 42 AI Inc Hammond, Kevin Kirkos, Gregory A |
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Title | SENSOR SYSTEMS AND METHODS FOR CHARACTERIZING HEALTH CONDITIONS |
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