Patents by Inventor Sabrina Conoci

Sabrina Conoci has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 11954922
    Abstract: A time series of face images of a human during a human activity are captured. A first artificial neural network (ANN) processing pipeline processes the captured time series of face images to provide a first attention level indicator signal. An electrophysiological signal indicative of the level of attention of the human during the activity is also captured. A second ANN processing pipeline processes the sensed electrophysiological signal to providing a second attention level indicator signal. A risk indicator signal is then generated based on at least one of the first attention level indicator and second attention level indicator. A user circuit is then triggered as a result of the risk indicator reaching or failing to reach at least one attention level threshold.
    Type: Grant
    Filed: April 7, 2022
    Date of Patent: April 9, 2024
    Assignee: STMicroelectronics S.r.l.
    Inventors: Francesco Rundo, Giancarlo Asnaghi, Sabrina Conoci
  • Patent number: 11950911
    Abstract: An embodiment method comprises collecting at least one electrophysiological signal of a human over a limited time duration, and computing a set of electrophysiological signal features. The computing comprises at least one of: providing at least one reference electrophysiological signal and applying dynamic time warping processing to the at least one collected and at least one reference electrophysiological signals, applying stacked-auto-encoder artificial neural network processing to the collected electrophysiological signal, or filtering the electrophysiological signal collected via joint low-pass and high-pass filtering. The method further comprises applying pattern recognition processing to the computed set of features, producing a virtual key signal indicative of an identity of the human, and applying the virtual key signal to a user circuit to switch it between a first state and a second state as a result of the virtual key signal matching an authorized key signal stored in the user circuit.
    Type: Grant
    Filed: September 1, 2020
    Date of Patent: April 9, 2024
    Assignee: STMicroelectronics S.r.l.
    Inventors: Francesco Rundo, Sabrina Conoci, Concetto Spampinato
  • Publication number: 20240055102
    Abstract: An image classification method, in particular medical images, for example radiographic images, wherein a sub-image RI which contains, for example, a Region Of Interest (ROI) in which a portion of limb and a prosthesis inserted into the same limb are visible is subjected to a classification process designed to define whether the sub-image RI belongs to a first class C1 of images with a respective first probability P1 or to a second class of images C2 with a respective probability P2.
    Type: Application
    Filed: December 17, 2021
    Publication date: February 15, 2024
    Inventors: Sabrina Conoci, Francesco Traina
  • Publication number: 20240001003
    Abstract: The present invention relates to a method for the antibacterial treatment of a solid surface comprising the steps of: a) activation of said surface by means of oxygen plasma; b) deposition from the vapor phase of a silane or siloxane having at least one fluorocarburic terminal group. A method is also provided for the antibacterial treatment of a solid surface comprising the step of functionalizing said surface with nanoparticles of gamma-Fe2O3.
    Type: Application
    Filed: December 9, 2021
    Publication date: January 4, 2024
    Inventors: Sabrina Conoci, Francesco Traina, Salvatore Petralia
  • Patent number: 11793406
    Abstract: A method includes receiving a video signal that comprises a time series of images of a face of a human, wherein the images in the time series of images comprise a set of landmark points in the face, applying tracking processing to the video signal to reveal variations over time of at least one image parameter at the set of landmark points in the human face, generating a set of variation signals indicative of variations revealed at respective landmark points in the set of landmark points, applying processing to the set of variation signals, the processing comprising artificial neural network processing to produce a reconstructed PhotoPletysmoGraphy (PPG) signal, and estimating a heart rate variability of a variable heart rate of the human as a function of the reconstructed PPG signal.
    Type: Grant
    Filed: September 20, 2022
    Date of Patent: October 24, 2023
    Assignee: STMicroelectronics S.r.l.
    Inventors: Francesco Rundo, Francesca Trenta, Sabrina Conoci, Sebastiano Battiato
  • Publication number: 20230009282
    Abstract: A method includes receiving a video signal that comprises a time series of images of a face of a human, wherein the images in the time series of images comprise a set of landmark points in the face, applying tracking processing to the video signal to reveal variations over time of at least one image parameter at the set of landmark points in the human face, generating a set of variation signals indicative of variations revealed at respective landmark points in the set of landmark points, applying processing to the set of variation signals, the processing comprising artificial neural network processing to produce a reconstructed PhotoPletysmoGraphy (PPG) signal, and estimating a heart rate variability of a variable heart rate of the human as a function of the reconstructed PPG signal.
    Type: Application
    Filed: September 20, 2022
    Publication date: January 12, 2023
    Inventors: Francesco Rundo, Francesca Trenta, Sabrina Conoci, Sebastiano Battiato
  • Patent number: 11471084
    Abstract: A method includes receiving a video signal that comprises a time series of images of a face of a human, wherein the images in the time series of images comprise a set of landmark points in the face, applying tracking processing to the video signal to reveal variations over time of at least one image parameter at the set of landmark points in the human face, generating a set of variation signals indicative of variations revealed at respective landmark points in the set of landmark points, applying processing to the set of variation signals, the processing comprising artificial neural network processing to produce a reconstructed PhotoPletysmoGraphy (PPG) signal, and estimating a heart rate variability of a variable heart rate of the human as a function of the reconstructed PPG signal.
    Type: Grant
    Filed: December 30, 2019
    Date of Patent: October 18, 2022
    Assignee: STMicroelectronics S.R.L.
    Inventors: Francesco Rundo, Francesca Trenta, Sabrina Conoci, Sebastiano Battiato
  • Publication number: 20220327845
    Abstract: A time series of face images of a human during a human activity are captured. A first artificial neural network (ANN) processing pipeline processes the captured time series of face images to provide a first attention level indicator signal. An electrophysiological signal indicative of the level of attention of the human during the activity is also captured. A second ANN processing pipeline processes the sensed electrophysiological signal to providing a second attention level indicator signal. A risk indicator signal is then generated based on at least one of the first attention level indicator and second attention level indicator. A user circuit is then triggered as a result of the risk indicator reaching or failing to reach at least one attention level threshold.
    Type: Application
    Filed: April 7, 2022
    Publication date: October 13, 2022
    Applicant: STMicroelectronics S.r.l.
    Inventors: Francesco RUNDO, Giancarlo ASNAGHI, Sabrina CONOCI
  • Publication number: 20220273183
    Abstract: In an embodiment, PhotoPlethysmoGraphy (PPG) signals are processed by detecting peaks and valleys in the PPG signal, segmenting the PPG signal to provide a time series of PPG waveforms located between two subsequent valleys in the PPG signal, applying to the waveforms in the time series pattern recognition with respect to a reference PPG waveform pattern produced based on a mathematical model of the PPG signal by assigning to the waveforms in the time series a recognition score. A resulting PPG signal is produced by retaining the waveforms in the time series having an assigned recognition score reaching a recognition threshold, and discarding the waveforms in the time series having an assigned recognition score failing to reach the recognition threshold.
    Type: Application
    Filed: May 17, 2022
    Publication date: September 1, 2022
    Inventors: Francesco Rundo, Piero Fallica, Sabrina Conoci, Salvatore Petralia, Massimo Cataldo Mazzillo
  • Patent number: 11337617
    Abstract: In an embodiment, PhotoPlethysmoGraphy (PPG) signals are processed by detecting peaks and valleys in the PPG signal, segmenting the PPG signal to provide a time series of PPG waveforms located between two subsequent valleys in the PPG signal, applying to the waveforms in the time series pattern recognition with respect to a reference PPG waveform pattern produced based on a mathematical model of the PPG signal by assigning to the waveforms in the time series a recognition score. A resulting PPG signal is produced by retaining the waveforms in the time series having an assigned recognition score reaching a recognition threshold, and discarding the waveforms in the time series having an assigned recognition score failing to reach the recognition threshold.
    Type: Grant
    Filed: July 17, 2018
    Date of Patent: May 24, 2022
    Assignee: STMICROELECTRONICS S.R.L.
    Inventors: Francesco Rundo, Piero Fallica, Sabrina Conoci, Salvatore Petralia, Massimo Cataldo Mazzillo
  • Publication number: 20220104775
    Abstract: Blood pressure signals are reconstructed from PhotoPlethysmoGraphy (PPG) signals by: receiving PPG signals including systolic, diastolic and dicrotic phases; and determining first and second derivatives of the PPG signals and: a first set of values indicative of lengths of the signal paths of the PPG signal, the first derivative and the second derivative thereof in the systolic, diastolic and dicrotic phases; a second set of values indicative of relative durations of the PPG signal and the first and second derivatives thereof in the systolic, diastolic and dicrotic phases; and a third set of values indicative of the time separation of peaks and/or valleys in subsequent waveforms of the PPG signal. Reconstruction also includes applying artificial neural network processing to the first, second and third set of values. The artificial neural network processing includes artificial neural network training as a function of blood pressure signals to produce reconstructed blood pressure signals.
    Type: Application
    Filed: December 16, 2021
    Publication date: April 7, 2022
    Inventors: Francesco Rundo, Sabrina Conoci, Piero Fallica, Rosalba Parenti, Vincenzo Perciavalle
  • Patent number: 11229404
    Abstract: Blood pressure signals are reconstructed from PhotoPlethysmoGraphy (PPG) signals by: receiving PPG signals including systolic, diastolic and dicrotic phases; and determining first and second derivatives of the PPG signals and: a first set of values indicative of lengths of the signal paths of the PPG signal, the first derivative and the second derivative thereof in the systolic, diastolic and dicrotic phases; a second set of values indicative of relative durations of the PPG signal and the first and second derivatives thereof in the systolic, diastolic and dicrotic phases; and a third set of values indicative of the time separation of peaks and/or valleys in subsequent waveforms of the PPG signal. Reconstruction also includes applying artificial neural network processing to the first, second and third set of values. The artificial neural network processing includes artificial neural network training as a function of blood pressure signals to produce reconstructed blood pressure signals.
    Type: Grant
    Filed: November 19, 2018
    Date of Patent: January 25, 2022
    Assignee: STMICROELECTRONICS S.R.L.
    Inventors: Francesco Rundo, Sabrina Conoci, Piero Fallica, Rosalba Parenti, Vincenzo Perciavalle
  • Patent number: 11164315
    Abstract: A method includes receiving a time series of slice images of medical imaging. The images have a region of interest located at a lung lesion. The method also includes tracking over at least one subset of slice images in a time series of slice images variations over time of at least one image parameter at the set of points in the region of interest. Classifier processing is applied to set of signals indicative of tracked time variations of the at least one image parameter at respective points in the set of points. A classification signal is indicative of the tracked time variations of the at least one image parameter reaching or failing to reach at least one classification threshold.
    Type: Grant
    Filed: November 18, 2019
    Date of Patent: November 2, 2021
    Assignee: STMICROELECTRONICS S.R.L.
    Inventors: Francesco Rundo, Sabrina Conoci, Giuseppe Luigi Banna
  • Publication number: 20210232901
    Abstract: An embodiment method includes segmenting at least one electrophysiological signal and producing a set of sampled waveforms, applying artificial neural network processing to the set of sampled waveforms and a set of randomly generated noise samples and producing at least one altered data pattern, the altered data pattern comprising the set of filtered waveforms altered as a function of the randomly generated noise samples, providing calibration data comprising expected waveforms for filtered waveforms in the set of filtered waveforms, applying classifier processing to the produced at least one altered data pattern to detect a degree of resemblance between the produced at least one altered data pattern and the calibration data patterns, the classifier processing producing classification signals having values above or below at least one threshold value as a function of the detected degree of resemblance, and triggering a user circuit as a function of the classification signal.
    Type: Application
    Filed: January 22, 2021
    Publication date: July 29, 2021
    Inventors: Francesco Rundo, Sabrina Conoci, Concetto Spampinato
  • Patent number: 10987007
    Abstract: A method of processing electrophysiological signals includes: receiving, over a limited time duration, sample electrocardiography (ECG) signals indicative of heart pulsatile activity occurring with a variable heart rate, wherein receiving the sample ECG signals is discontinued at an expiry of the limited time duration; receiving photoplethysmography (PPG) signals indicative of the heart pulsatile activity; determining a correlation between the sample ECG signals and the PPG signals; determining reconstructed ECG signals from the PPG signals as a function of the correlation between the sample ECG signals and the PPG signals; and estimating a heart rate variability of the variable heart rate as a function of the reconstructed ECG signals.
    Type: Grant
    Filed: October 23, 2018
    Date of Patent: April 27, 2021
    Assignee: STMicroelectronics S.R.L.
    Inventors: Francesco Rundo, Sabrina Conoci, Piero Fallica
  • Publication number: 20210068739
    Abstract: An embodiment method comprises collecting at least one electrophysiological signal of a human over a limited time duration, and computing a set of electrophysiological signal features. The computing comprises at least one of: providing at least one reference electrophysiological signal and applying dynamic time warping processing to the at least one collected and at least one reference electrophysiological signals, applying stacked-auto-encoder artificial neural network processing to the collected electrophysiological signal, or filtering the electrophysiological signal collected via joint low-pass and high-pass filtering. The method further comprises applying pattern recognition processing to the computed set of features, producing a virtual key signal indicative of an identity of the human, and applying the virtual key signal to a user circuit to switch it between a first state and a second state as a result of the virtual key signal matching an authorized key signal stored in the user circuit.
    Type: Application
    Filed: September 1, 2020
    Publication date: March 11, 2021
    Inventors: Francesco Rundo, Sabrina Conoci, Concetto Spampinato
  • Publication number: 20200330020
    Abstract: In an embodiment, a method of processing an electrophysiological signal includes collecting the electrophysiological signal that is indicative of a level of attention of a human; filtering the electrophysiological signal via joint low-pass and high-pass filtering using a set of filtering parameters including low-pass filters parameters and high-pass filters parameters having a set of low-pass cut-off frequencies and a set of high-pass cut-off frequencies respectively. The method further includes applying artificial neural network processing to the filtered electrophysiological signal to extract therefrom a set of features of the electrophysiological signal. The method further includes applying classifier processing to the set of features extracted from the filtered electrophysiological signal and producing a classification signal indicative of the level of attention of the human. The method further includes generating a trigger signal to trigger a user circuit based on the classification signal.
    Type: Application
    Filed: March 16, 2020
    Publication date: October 22, 2020
    Inventors: Francesco Rundo, Sabrina Conoci
  • Publication number: 20200214614
    Abstract: A method includes receiving a video signal that comprises a time series of images of a face of a human, wherein the images in the time series of images comprise a set of landmark points in the face, applying tracking processing to the video signal to reveal variations over time of at least one image parameter at the set of landmark points in the human face, generating a set of variation signals indicative of variations revealed at respective landmark points in the set of landmark points, applying processing to the set of variation signals, the processing comprising artificial neural network processing to produce a reconstructed PhotoPletysmoGraphy (PPG) signal, and estimating a heart rate variability of a variable heart rate of the human as a function of the reconstructed PPG signal.
    Type: Application
    Filed: December 30, 2019
    Publication date: July 9, 2020
    Inventors: Francesco Rundo, Francesca Trenta, Sabrina Conoci, Sebastiano Battiato
  • Publication number: 20200184648
    Abstract: A method includes receiving a time series of slice images of medical imaging. The images have a region of interest located at a lung lesion. The method also includes tracking over at least one subset of slice images in a time series of slice images variations over time of at least one image parameter at the set of points in the region of interest. Classifier processing is applied to set of signals indicative of tracked time variations of the at least one image parameter at respective points in the set of points. A classification signal is indicative of the tracked time variations of the at least one image parameter reaching or failing to reach at least one classification threshold.
    Type: Application
    Filed: November 18, 2019
    Publication date: June 11, 2020
    Inventors: Francesco Rundo, Sabrina Conoci, Giuseppe Luigi Banna
  • Patent number: 10518264
    Abstract: A microreactor includes: a substrate (2; 102; 202) made of semiconductor material; a plurality of wells (5; 105; 205) separated by walls (6; 106; 206) in the substrate (2; 102; 202); a dielectric structure (7; 107; 207a, 207b) coating at least the top of the walls (6; 106; 206); a cap (3; 103; 203), bonded to the substrate (2; 102; 202) and defining a chamber (10; 110; 210) above the wells (5; 105; 205); and a biasing structure (2, 8, 13; 102, 108, 113; 202, 208a, 208b, 213), configured for setting up a voltage (VB) between the substrate (2; 102; 202) and the chamber (10; 110; 210).
    Type: Grant
    Filed: March 20, 2014
    Date of Patent: December 31, 2019
    Assignee: DISTRETTO TECNOLOGICO SICILIA MICRO E NANO SISTEMI S.C.A.R.L.
    Inventors: Sabrina Conoci, Maria Eloisa Castagna, Massimo Orazio Spata