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公开(公告)号：US20170265768A1
公开(公告)日：2017-09-21
申请号：US15616069
申请日：2017-06-07
Inventor： Nourhan Yahya Bayasi , Temesghen Tekeste Habte , Hani Hasan Mustafa Saleh , Ahsan Habib Khandoker , Mohammed Ismail Elnaggar
IPC: A61B5/0468 , A61B5/0428 , A61B5/0245 , A61B5/0402 , A61B5/00 , A61B5/04 , A61B5/0464 , A61B5/0456 , A61B5/024
CPC classification number: A61B5/0468 , A61B5/02405 , A61B5/0245 , A61B5/04012 , A61B5/0402 , A61B5/0428 , A61B5/0456 , A61B5/0464 , A61B5/7264
Abstract: A medical device and method for detecting a ventricular arrhythmia event is disclosed. The medical device includes input circuitry configured to receive an electrocardiogram (ECG) signal and processing circuitry coupled to the input circuitry that is configured to identify fiducial points within the ECG signal. Feature extraction circuitry coupled to the processing circuitry is configured to determine interval variability between the fiducial points. Machine learning circuitry is coupled to the feature extraction circuitry and is configured to detect ventricular arrhythmia based on the interval variability between the fiducial points.
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2.发明授权公开(公告)号：US09600739B2
公开(公告)日：2017-03-21
申请号：US14686905
申请日：2015-04-15
Inventor： Ehab Najeh Salahat , Hani Hasan Mustafa Saleh , Andrzej Stefan Sluzek , Mohammed Ismail Elnaggar
IPC: G06K9/46
CPC classification number: G06K9/4671
Abstract: Architecture for real-time extraction of maximally stable extremal regions (MSERs) is disclosed. The architecture includes communication interface and processing circuitry that is adapted in hardware to receive a data streams of an intensity image and a depth image in real-time and provide intensity labels for image regions within the intensity image that match a given intensity threshold and provide depth labels for image regions within the depth image that match a given depth threshold. The processing circuitry is also adapted in hardware to find intensity extremal regions within the intensity image based upon the intensity labels and to find depth extremal regions within the depth image based upon the depth labels. The processing circuitry determines strong extremal regions based upon significant overlap between the intensity extremal regions and depth extremal regions. The processing circuitry then determines X-MSER ellipses parameters based upon the strong extremal regions and X-MSER criteria.
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3.发明申请HARDWARE ARCHITECTURE FOR REAL-TIME EXTRACTION OF MAXIMALLY STABLE EXTREMAL REGIONS (MSERs) 有权用于实时提取最大稳定区域的硬件架构（MSER）公开(公告)号：US20160071280A1
公开(公告)日：2016-03-10
申请号：US14482482
申请日：2014-09-10
Inventor： Ehab Najeh Salahat , Hani Hasan Mustafa Saleh , Andrzej Stefan Sluzek , Mahmoud Al-Qutayri , Baker Mohammad , Mohammed Ismail Elnaggar
CPC classification number: G06K9/00771 , G06K9/00986 , G06K9/342 , G06K9/4609 , G06K9/4661 , G06T2207/30232
Abstract: Hardware architecture for real-time extraction of maximally stable extremal regions (MSERs) is disclosed. The architecture includes a communication interface and processing circuitry that are configured in hardware to receive a data stream of an intensity image in real-time and provide labels for image regions within the intensity image that match a given intensity threshold. The communication interface and processing circuitry are also configured in hardware to find extremal regions within the intensity image based upon the labels and to determine MSER ellipses parameters based upon the extremal regions and MSER criteria. In at least one embodiment, the MSER criteria include minimum and maximum MSER areas, and an acceptable growth rate value for MSER area. In another embodiment, the MSER criteria include a nested MSER tolerance value.
Abstract translation: 公开了用于实时提取最大稳定极值区域（MSER）的硬件架构。 该架构包括通信接口和处理电路，其被配置成硬件以实时地接收强度图像的数据流，并且提供与强度图像内匹配给定强度阈值的图像区域的标签。 通信接口和处理电路也被配置在硬件中以基于标签找到强度图像内的极值区域，并且基于极值区域和MSER标准来确定MSER椭圆参数。 在至少一个实施例中，MSER标准包括MSER区域的最小和最大MSER区域以及可接受的生长速率值。 在另一个实施例中，MSER标准包括嵌套的MSER容差值。
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4.发明授权Hardware architecture for real-time extraction of maximally stable extremal regions (MSERs) 有权用于实时提取最大稳定极值地区（MSER）的硬件体系结构公开(公告)号：US09489578B2
公开(公告)日：2016-11-08
申请号：US14482482
申请日：2014-09-10
Inventor： Ehab Najeh Salahat , Hani Hasan Mustafa Saleh , Andrzej Stefan Sluzek , Mahmoud Al-Qutayri , Baker Mohammad , Mohammed Ismail Elnaggar
CPC classification number: G06K9/00771 , G06K9/00986 , G06K9/342 , G06K9/4609 , G06K9/4661 , G06T2207/30232
Abstract: Hardware architecture for real-time extraction of maximally stable extremal regions (MSERs) is disclosed. The architecture includes a communication interface and processing circuitry that are configured in hardware to receive a data stream of an intensity image in real-time and provide labels for image regions within the intensity image that match a given intensity threshold. The communication interface and processing circuitry are also configured in hardware to find extremal regions within the intensity image based upon the labels and to determine MSER ellipses parameters based upon the extremal regions and MSER criteria. In at least one embodiment, the MSER criteria include minimum and maximum MSER areas, and an acceptable growth rate value for MSER area. In another embodiment, the MSER criteria include a nested MSER tolerance value.
Abstract translation: 公开了用于实时提取最大稳定极值区域（MSER）的硬件架构。 该架构包括通信接口和处理电路，其被配置成硬件以实时地接收强度图像的数据流，并且提供与强度图像内匹配给定强度阈值的图像区域的标签。 通信接口和处理电路也被配置在硬件中以基于标签找到强度图像内的极值区域，并且基于极值区域和MSER标准来确定MSER椭圆参数。 在至少一个实施例中，MSER标准包括MSER区域的最小和最大MSER区域以及可接受的生长速率值。 在另一个实施例中，MSER标准包括嵌套的MSER容差值。
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Patent Agency Ranking
5.发明授权Architecture and method for real-time parallel detection and extraction of maximally stable extremal regions (MSERS) 有权用于实时并行检测和提取最大稳定极值区域（MSERS）的架构和方法公开(公告)号：US09311555B2
公开(公告)日：2016-04-12
申请号：US14482629
申请日：2014-09-10
Inventor： Ehab Najeh Salahat , Hani Hasan Mustafa Saleh , Andrzej Stefan Sluzek , Mahmoud Al-Qutayri , Baker Mohammad , Mohammed Ismail Elnaggar
CPC classification number: H04N7/18 , G06K9/00986 , G06K9/3233 , G06T7/246 , G06T2207/30232
Abstract: Architecture for real-time extraction of maximally stable extremal regions (MSERs) is disclosed. The architecture includes a communication interface and processing circuitry that are configured in hardware to receive a data stream of an intensity image in real-time and provide labels for light image regions and dark image regions within the intensity image that match a given intensity threshold during a single processing pass. The communication interface and processing circuitry are also configured in hardware to find extremal regions within the intensity image based upon the labels and to determine MSER ellipses parameters based upon the extremal regions and MSER criteria. In at least one embodiment, the MSER criteria include minimum and maximum MSER areas, and an acceptable growth rate value for MSER areas. In another embodiment, the MSER criteria include a nested MSER tolerance value.
Abstract translation: 公开了用于实时提取最大稳定极值区域（MSER）的架构。 该架构包括通信接口和处理电路，其被配置为硬件以实时地接收强度图像的数据流，并且提供在强度图像内的光图像区域和暗图像区域的标签，所述亮度图像区域和暗图像区域在一个 单处理通行证 通信接口和处理电路也被配置在硬件中以基于标签找到强度图像内的极值区域，并且基于极值区域和MSER标准来确定MSER椭圆参数。 在至少一个实施例中，MSER标准包括MSER区域的最小和最大MSER区域以及可接受的生长速率值。 在另一个实施例中，MSER标准包括嵌套的MSER容差值。
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6.发明申请ARCHITECTURE AND METHOD FOR REAL-TIME PARALLEL DETECTION AND EXTRACTION OF MAXIMALLY STABLE EXTREMAL REGIONS (MSERS) 有权用于实时并行检测和提取最大稳定极端地区（MSERS）的架构和方法公开(公告)号：US20160070970A1
公开(公告)日：2016-03-10
申请号：US14482629
申请日：2014-09-10
Inventor： Ehab Najeh Salahat , Hani Hasan Mustafa Saleh , Andrzej Stefan Sluzek , Mahmoud Al-Qutayri , Baker Mohammad , Mohammed Ismail Elnaggar
CPC classification number: H04N7/18 , G06K9/00986 , G06K9/3233 , G06T7/246 , G06T2207/30232
Abstract: Architecture for real-time extraction of maximally stable extremal regions (MSERs) is disclosed. The architecture includes a communication interface and processing circuitry that are configured in hardware to receive a data stream of an intensity image in real-time and provide labels for light image regions and dark image regions within the intensity image that match a given intensity threshold during a single processing pass. The communication interface and processing circuitry are also configured in hardware to find extremal regions within the intensity image based upon the labels and to determine MSER ellipses parameters based upon the extremal regions and MSER criteria. In at least one embodiment, the MSER criteria include minimum and maximum MSER areas, and an acceptable growth rate value for MSER areas. In another embodiment, the MSER criteria include a nested MSER tolerance value.
Abstract translation: 公开了用于实时提取最大稳定极值区域（MSER）的架构。 该架构包括通信接口和处理电路，其被配置为硬件以实时地接收强度图像的数据流，并且提供在强度图像内的光图像区域和暗图像区域的标签，该标签在一 单处理通行证 通信接口和处理电路也被配置在硬件中以基于标签找到强度图像内的极值区域，并且基于极值区域和MSER标准来确定MSER椭圆参数。 在至少一个实施例中，MSER标准包括MSER区域的最小和最大MSER区域以及可接受的生长速率值。 在另一个实施例中，MSER标准包括嵌套的MSER容差值。
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公开(公告)号：US20160120431A1
公开(公告)日：2016-05-05
申请号：US14926554
申请日：2015-10-29
Inventor： Temesghen Tekeste Habte , Nourhan Yahya Bayasi , Hani Hasan Mustafa Saleh , Ahsan Habib Khandoker , Baker Mohammad , Mahmoud Al-Qutayri , Mohammed Ismail Elnaggar
IPC: A61B5/0468 , A61B5/04 , A61B5/0456
CPC classification number: A61B5/0468 , A61B5/02405 , A61B5/0245 , A61B5/04012 , A61B5/0402 , A61B5/0428 , A61B5/0456 , A61B5/0464 , A61B5/7264
Abstract: A medical device having automated electrocardiogram (ECG) feature extraction is disclosed. The medical device includes input circuitry configured to receive an ECG signal. Processing circuitry coupled to the input circuitry is configured to identify at least one fiducial point of heartbeat signature of the ECG signal. The processing circuitry is further configured to perform substantially simultaneously both a discrete wavelet transform (DWT) and a curve length transform (CLT) to identify the at least one fiducial point.
Abstract translation: 公开了具有自动心电图（ECG）特征提取的医疗装置。 医疗设备包括被配置为接收ECG信号的输入电路。 耦合到输入电路的处理电路被配置为识别ECG信号的心跳特征的至少一个基准点。 处理电路还被配置为基本同时执行离散小波变换（DWT）和曲线长度变换（CLT）两者以识别至少一个基准点。
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公开(公告)号：US20160120430A1
公开(公告)日：2016-05-05
申请号：US14926483
申请日：2015-10-29
Inventor： Nourhan Yahya Bayasi , Temesghen Tekeste Habte , Hani Hasan Mustafa Saleh , Ahsan Habib Khandoker , Mohammed Ismail Elnaggar
IPC: A61B5/0468 , A61B5/0428 , A61B5/0245 , A61B5/04
CPC classification number: A61B5/0468 , A61B5/02405 , A61B5/0245 , A61B5/04012 , A61B5/0402 , A61B5/0428 , A61B5/0456 , A61B5/0464 , A61B5/7264
Abstract: A medical device and method for detecting a ventricular arrhythmia event is disclosed. The medical device includes input circuitry configured to receive an electrocardiogram (ECG) signal, processing circuitry coupled to the input circuitry and configured to identify at least one fiducial point of a first heartbeat signature and at least fiducial point of a second heartbeat signature of the ECG signal, and feature extraction circuitry coupled to the processing circuitry. The feature extraction circuitry is configured to determine at least one difference between the at least one fiducial point of the first heartbeat signal and the at least one fiducial point of the second heartbeat signal. Machine learning circuitry is coupled to the feature extraction circuitry and is configured to select a ventricular arrhythmia class based on the at least one difference.
Abstract translation: 公开了一种用于检测室性心律失常事件的医疗装置和方法。 医疗设备包括被配置为接收心电图（ECG）信号的输入电路，耦合到输入电路的处理电路，并且被配置为识别第一心跳标记的至少一个基准点和心电图的第二心跳特征的至少基准点 信号和特征提取电路，其耦合到处理电路。 特征提取电路被配置为确定第一心跳信号的至少一个基准点与第二心跳信号的至少一个基准点之间的至少一个差异。 机器学习电路耦合到特征提取电路，并且被配置为基于至少一个差异来选择心室心律失常类别。
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9.发明申请ARCHITECTURE FOR REAL-TIME EXTRACTION OF EXTENDED MAXIMALLY STABLE EXTREMAL REGIONS (X-MSERs) 有权实时提取扩展极限极限区域的架构（X-MSER）公开(公告)号：US20160070975A1
公开(公告)日：2016-03-10
申请号：US14686905
申请日：2015-04-15
Inventor： Ehab Najeh Salahat , Hani Hasan Mustafa Saleh , Andrzej Stefan Sluzek , Mohammed Ismail Elnaggar
CPC classification number: G06K9/4671
Abstract: Architecture for real-time extraction of maximally stable extremal regions (MSERs) is disclosed. The architecture includes communication interface and processing circuitry that is adapted in hardware to receive a data streams of an intensity image and a depth image in real-time and provide intensity labels for image regions within the intensity image that match a given intensity threshold and provide depth labels for image regions within the depth image that match a given depth threshold. The processing circuitry is also adapted in hardware to find intensity extremal regions within the intensity image based upon the intensity labels and to find depth extremal regions within the depth image based upon the depth labels. The processing circuitry determines strong extremal regions based upon significant overlap between the intensity extremal regions and depth extremal regions. The processing circuitry then determines X-MSER ellipses parameters based upon the strong extremal regions and X-MSER criteria.
Abstract translation: 公开了用于实时提取最大稳定极值区域（MSER）的架构。 该架构包括通信接口和处理电路，其适于在硬件中实时地接收强度图像和深度图像的数据流，并且提供与强度图像内匹配给定强度阈值的图像区域的强度标签，并提供深度 在与深度阈值相匹配的深度图像内的图像区域的标签。 处理电路还适用于硬件，以基于强度标签来发现强度图像内的强度极值区域，并且基于深度标签找到深度图像内的深度极值区域。 处理电路基于强度极值区域和深度极值区域之间的显着重叠来确定强极端区域。 处理电路然后基于强极限区域和X-MSER标准确定X-MSER椭圆参数。
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