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公开(公告)号：US20240272088A1
公开(公告)日：2024-08-15
申请号：US18168017
申请日：2023-02-13
Applicant: STMicroelectronics S.r.l.
Inventor： Michele Calabretta , Francesco Rundo , Salvatore Coffa , Marco Alfio Torrisi , Riccardo Emanuele Sarpietro
CPC classification number: G01N21/9501 , G06T7/0004 , G06T2207/20081 , G06T2207/20084 , G06T2207/30148
Abstract: In an embodiment, a method includes: capturing a first image of a power module, the power module including a power electronics circuit, the power electronics circuit including power semiconductor dies; identifying positions of the power semiconductor dies in the first image with a die detection model; extracting second images of the power semiconductor dies from the first image according to the positions of the power semiconductor dies in the first image; and identifying defects of the power semiconductor dies in the second images with a defect detection model, the defect detection model being different from the die detection model.
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公开(公告)号：US10602975B2
公开(公告)日：2020-03-31
申请号：US16439194
申请日：2019-06-12
Applicant: STMicroelectronics S.r.l.
Inventor： Francesco Rundo , Giuseppe Luigi Banna
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.
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公开(公告)号：US11164315B2
公开(公告)日：2021-11-02
申请号：US16687207
申请日：2019-11-18
Applicant: STMicroelectronics S.r.l.
Inventor： Francesco Rundo , Sabrina Conoci , Giuseppe Luigi Banna
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.
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4.发明申请公开(公告)号：US20200330020A1
公开(公告)日：2020-10-22
申请号：US16819688
申请日：2020-03-16
Applicant: STMicroelectronics S.r.l.
Inventor： Francesco Rundo , Sabrina Conoci
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.
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公开(公告)号：US12059271B2
公开(公告)日：2024-08-13
申请号：US17644703
申请日：2021-12-16
Applicant: STMicroelectronics S.r.l.
Inventor： Francesco Rundo , Sabrina Conoci , Piero Fallica , Rosalba Parenti , Vincenzo Perciavalle
CPC classification number: A61B5/7264 , A61B5/021 , A61B5/02108 , A61B5/0261 , A61B5/168 , A61B5/18 , A61B5/6826 , A61B5/6893 , A61B5/7239 , A61B5/7246 , A61B5/725 , A61B5/7267 , A61B5/7278 , G06N3/08 , A61B5/02416 , A61B5/7242 , A61B2503/22 , 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.
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Patent Agency Ranking
公开(公告)号：US20210232901A1
公开(公告)日：2021-07-29
申请号：US17156052
申请日：2021-01-22
Applicant: STMicroelectronics S.r.l.
Inventor： Francesco Rundo , Sabrina Conoci , Concetto Spampinato
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.
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公开(公告)号：US20190290188A1
公开(公告)日：2019-09-26
申请号：US16439194
申请日：2019-06-12
Applicant: STMicroelectronics S.r.l.
Inventor： Francesco Rundo , Giuseppe Luigi Banna
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.
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公开(公告)号：US20190159735A1
公开(公告)日：2019-05-30
申请号：US16195114
申请日：2018-11-19
Applicant: STMicroelectronics S.r.l.
Inventor： Francesco Rundo , Sabrina Conoci
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.
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公开(公告)号：US20180146912A1
公开(公告)日：2018-05-31
申请号：US15607178
申请日：2017-05-26
Applicant: STMicroelectronics S.r.l.
Inventor： Francesco Rundo , Giuseppe Luigi Banna
CPC classification number: A61B5/444 , A61B5/0073 , A61B5/1032 , A61B5/1072 , A61B5/7264 , G01N2800/20 , G06T7/0012 , G06T2207/30088 , G06T2207/30096
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.
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公开(公告)号：US20200214614A1
公开(公告)日：2020-07-09
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: A61B5/18 , A61B5/024 , A61B5/0255 , A61B5/00 , B60W60/00 , B60W40/08 , B60W50/14 , G06K9/00 , G06N3/08 , G06N3/04
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.
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