公开(公告)号：US20200184648A1

公开(公告)日：2020-06-11

申请号：US16687207

申请日：2019-11-18

Applicant: STMicroelectronics S.r.l.

Inventor： Francesco Rundo ,  Sabrina Conoci ,  Giuseppe Luigi Banna

IPC: G06T7/00 ,  G06K9/62 ,  G06T11/00 ,  G06N3/04 ,  G06N3/08

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.

公开(公告)号：US10362985B2

公开(公告)日：2019-07-30

申请号：US15607178

申请日：2017-05-26

Applicant: STMicroelectronics S.r.l.

Inventor： Francesco Rundo ,  Giuseppe Luigi Banna

IPC: G06T5/00 ,  A61B5/00 ,  G06T7/00 ,  A61B5/103 ,  A61B5/107

Abstract: A method can be used for analyzing digital images of skin lesions. The images include pixels distributed over a lesion area. Sets of values including a first discrimination value indicative of a weighted average of the image pixels with weighing at the border of the lesion, a second discrimination value indicative of skewness and kurtosis of the distribution of the image pixels, a third discrimination value indicative of the ratio of symmetry and gray-level power of the distribution of the image pixels and calculated. A total additive score of the values in the sets of values is provided and compared with a total score threshold. The first, second and third discrimination values are compared with respective first, second and third discrimination threshold values. An output classification for the image analyzed is provided as a function of the results of the comparing.

公开(公告)号：US12011269B2

公开(公告)日：2024-06-18

申请号：US16819688

申请日：2020-03-16

Applicant: STMicroelectronics S.r.l.

Inventor： Francesco Rundo ,  Sabrina Conoci

IPC: G06F7/00 ,  A61B5/00 ,  A61B5/18 ,  A61B5/316 ,  B60W40/08

CPC classification number: A61B5/18 ,  A61B5/316 ,  A61B5/725 ,  A61B5/7264 ,  A61B5/746 ,  B60W40/08 ,  A61B2560/0228 ,  B60W2040/0872

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.

公开(公告)号：US11954922B2

公开(公告)日：2024-04-09

申请号：US17715744

申请日：2022-04-07

Applicant: STMicroelectronics S.r.l.

Inventor： Francesco Rundo ,  Giancarlo Asnaghi ,  Sabrina Conoci

IPC: G06V20/59 ,  G06V10/77 ,  G06V10/82 ,  G06V40/16

CPC classification number: G06V20/597 ,  G06V10/7715 ,  G06V10/82 ,  G06V40/168

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.

公开(公告)号：US11950911B2

公开(公告)日：2024-04-09

申请号：US17009503

申请日：2020-09-01

Applicant: STMicroelectronics S.r.l.

Inventor： Francesco Rundo ,  Sabrina Conoci ,  Concetto Spampinato

IPC: G06F21/32 ,  A61B5/00 ,  A61B5/024 ,  A61B5/117 ,  A61B5/18 ,  G06N3/045

CPC classification number: A61B5/18 ,  A61B5/02416 ,  A61B5/117 ,  A61B5/7225 ,  A61B5/7246 ,  A61B5/7264 ,  G06F21/32 ,  G06N3/045

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.

公开(公告)号：US11793406B2

公开(公告)日：2023-10-24

申请号：US17948890

申请日：2022-09-20

Applicant: STMicroelectronics S.r.l.

Inventor： Francesco Rundo ,  Francesca Trenta ,  Sabrina Conoci ,  Sebastiano Battiato

IPC: G01C22/00 ,  A61B5/00 ,  B60W60/00 ,  A61B5/024 ,  A61B5/0255 ,  A61B5/18 ,  B60W40/08 ,  B60W50/14 ,  G06N3/08 ,  G06V20/59 ,  G06V40/16 ,  G06N3/044 ,  G06F18/21 ,  G06N3/045 ,  G06V40/10

CPC classification number: A61B5/0077 ,  A61B5/0255 ,  A61B5/02405 ,  A61B5/02416 ,  A61B5/18 ,  A61B5/6893 ,  A61B5/6898 ,  A61B5/7267 ,  A61B5/7278 ,  A61B5/746 ,  B60W40/08 ,  B60W50/14 ,  B60W60/0051 ,  G06N3/044 ,  G06N3/08 ,  G06V20/597 ,  G06V40/165 ,  G06V40/166 ,  G06V40/167 ,  G06V40/171 ,  A61B2576/02 ,  B60W2050/143 ,  G06F18/217 ,  G06N3/045 ,  G06V40/15

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.

公开(公告)号：US20230009282A1

公开(公告)日：2023-01-12

申请号：US17948890

申请日：2022-09-20

Applicant: STMicroelectronics S.r.l.

Inventor： Francesco Rundo ,  Francesca Trenta ,  Sabrina Conoci ,  Sebastiano Battiato

IPC: A61B5/18 ,  B60W60/00 ,  A61B5/024 ,  A61B5/0255 ,  A61B5/00 ,  B60W40/08 ,  B60W50/14 ,  G06N3/04 ,  G06N3/08 ,  G06V20/59 ,  G06V40/16

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.

公开(公告)号：US11471084B2

公开(公告)日：2022-10-18

申请号：US16729879

申请日：2019-12-30

Applicant: STMicroelectronics S.r.l.

Inventor： Francesco Rundo ,  Francesca Trenta ,  Sabrina Conoci ,  Sebastiano Battiato

IPC: G01C22/00 ,  A61B5/18 ,  B60W60/00 ,  A61B5/024 ,  A61B5/0255 ,  A61B5/00 ,  B60W40/08 ,  B60W50/14 ,  G06N3/04 ,  G06N3/08 ,  G06V20/59 ,  G06V40/16 ,  G06K9/62

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.

公开(公告)号：US11337617B2

公开(公告)日：2022-05-24

申请号：US16037328

申请日：2018-07-17

Applicant: STMicroelectronics S.r.l.

Inventor： Francesco Rundo ,  Piero Fallica ,  Sabrina Conoci ,  Salvatore Petralia ,  Massimo Cataldo Mazzillo

IPC: G06K9/00 ,  A61B5/00 ,  G16H10/60 ,  A61B5/349 ,  A61B5/024 ,  G16H50/00 ,  G06V40/10

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.

公开(公告)号：US11229404B2

公开(公告)日：2022-01-25

申请号：US16195114

申请日：2018-11-19

Applicant: STMicroelectronics S.r.l.

Inventor： Francesco Rundo ,  Sabrina Conoci ,  Piero Fallica ,  Rosalba Parenti ,  Vincenzo Perciavalle

IPC: A61B5/00 ,  A61B5/021 ,  A61B5/026 ,  A61B5/18 ,  A61B5/16 ,  G06N3/08 ,  A61B5/024 ,  G16H10/40

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.