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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：US09527726B2
公开(公告)日：2016-12-27
申请号：US14963052
申请日：2015-12-08
Applicant: STMicroelectronics S.r.l.
Inventor： Sabrina Conoci , Paolo Ferrari
CPC classification number: B81C1/00198 , B01F11/0082 , B01F13/0059 , B01F13/0091 , B01L3/502707 , B01L3/50273 , B01L2200/12 , B01L2300/06 , B81C1/00166 , B81C1/00182 , C12M27/02 , Y10T29/49009
Abstract: A microfluidic device, comprising: a semiconductor body, having a first side and a second side, opposite to one another in a first direction; and at least one well, configured for containing a fluid, extending in the semiconductor body starting from the first side and being delimited at the bottom by a bottom surface. The microfluidic device further comprises a stirring structure integrated in the well at the bottom surface, the stirring structure including a first stirring portion coupled to the semiconductor body and provided with at least one first suspended beam configured for being moved in a second direction so as to generate, in use, agitation of the fluid present in said well.
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13.发明申请MICROFLUIDIC DEVICE WITH INTEGRATED STIRRING STRUCTURE AND MANUFACTURING METHOD THEREOF 有权具有集成式搅拌结构的微流体装置及其制造方法公开(公告)号：US20140308738A1
公开(公告)日：2014-10-16
申请号：US14250098
申请日：2014-04-10
Applicant: STMicroelectronics S.r.l.
Inventor： Sabrina Conoci , Paolo Ferrari
CPC classification number: B81C1/00198 , B01F11/0082 , B01F13/0059 , B01F13/0091 , B01L3/502707 , B01L3/50273 , B01L2200/12 , B01L2300/06 , B81C1/00166 , B81C1/00182 , C12M27/02 , Y10T29/49009
Abstract: A microfluidic device, comprising: a semiconductor body, having a first side and a second side, opposite to one another in a first direction; and at least one well, configured for containing a fluid, extending in the semiconductor body starting from the first side and being delimited at the bottom by a bottom surface. The microfluidic device further comprises a stirring structure integrated in the well at the bottom surface, the stirring structure including a first stirring portion coupled to the semiconductor body and provided with at least one first suspended beam configured for being moved in a second direction so as to generate, in use, agitation of the fluid present in said well.
Abstract translation: 一种微流体装置，包括：半导体本体，具有在第一方向上彼此相对的第一侧和第二侧; 以及至少一个孔，构造成用于容纳流体，所述流体在所述半导体本体中从所述第一侧开始并且在底部由底面限定。 微流体装置还包括集成在底表面中的井中的搅拌结构，搅拌结构包括耦合到半导体主体并设置有至少一个第一悬置梁的第一搅拌部分，所述第一悬吊梁被配置为沿第二方向移动，以便 在使用中产生在所述井中存在的流体的搅动。
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14.发明授权公开(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
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.
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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
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.
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Patent Agency Ranking
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
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.
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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.
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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.
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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.
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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
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.
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