公开(公告)号：US20160045117A1

公开(公告)日：2016-02-18

申请号：US14827035

申请日：2015-08-14

Applicant: Nehemiah T. Liu ,  U.S. Government, as represented by the Secretary of the Army

Inventor： Nehemiah T. Liu ,  Jose Salinas

IPC: A61B5/0205 ,  A61B5/044 ,  A61B5/04 ,  A61B5/00 ,  A61B5/021 ,  A61B5/0408

CPC classification number: A61B5/02405 ,  A61B5/021 ,  A61B5/0245 ,  A61B5/04018 ,  A61B5/0456 ,  A61B5/7203 ,  A61B5/7221 ,  A61B5/7264 ,  A61B5/7282

Abstract: The invention in at least one embodiment includes a method for providing a beat determination based on signals from a plurality of medical sensors in substantially real time, said method including: receiving in at least two analysis modules at least one signal (including an ECG signal and/or a pulse signal) from at least one medical sensor such that at least one analysis module receives one ECG signal and at least one analysis module receives one pulse signal; in each analysis module processing one signal through a plurality of detection algorithm modules to produce at least one quantitative decision, fusing the quantitative decisions together with a fusion module, and outputting at least one detected peak from the fusion module to an aggregation module; and producing from the aggregation module a series of detected peaks based on detected peaks received from the analysis modules. In a further embodiment, the detected peaks produced by the aggregation module are used to determine heart rate variability/complexity. At least one embodiment includes a system for performing any of the above methods.

Abstract translation: 本发明在至少一个实施例中包括一种用于基本上实时地基于来自多个医疗传感器的信号提供节拍确定的方法，所述方法包括：在至少两个分析模块中接收至少一个信号（包括ECG信号和 /或脉冲信号），使得至少一个分析模块接收一个ECG信号，并且至少一个分析模块接收一个脉冲信号; 在每个分析模块中，通过多个检测算法模块处理一个信号以产生至少一个定量决定，将定量决定与融合模块融合，并将至少一个检测到的峰值从融合模块输出到聚合模块; 并且基于从分析模块接收的检测到的峰值，从聚合模块生成一系列检测到的峰。 在另一个实施例中，由聚合模块产生的检测到的峰值用于确定心率变异性/复杂性。 至少一个实施例包括用于执行上述任何方法的系统。

公开(公告)号：US20180125450A1

公开(公告)日：2018-05-10

申请号：US15568974

申请日：2016-04-25

Applicant: U.S. Government, as Represented by the Secretary of the Army

Inventor： Lorne H. Blackbourne ,  Jose Salinas ,  Ronald D. Grisell

IPC: A61B8/08 ,  A61B5/00

CPC classification number: A61B8/0891 ,  A61B5/489 ,  A61B8/06 ,  A61B8/0841

Abstract: An embodiment of the invention provides a method including obtaining ultrasonic images of one or more vessel to be catheterized with an ultrasonic imaging device 212 and identifying the center(s) of the vessel(s) with the ultrasonic images. One of the vessels is punctured with a needle 220 based on the identifying of the center of the vessel. A guide wire 230 is inserted into the vessel and maneuvered with guide wire ultra-sonic feedback control. The guide wire ultra-sonic feedback control includes obtaining ultrasonic images of the vessel and the guide wire 230 in the vessel, and displaying the ultrasonic images of the vessel and the guide wire 230 in the vessel to a user. A catheter sheath 240 is inserted over the guide wire 230 and maneuvered with sheath ultrasonic feedback control. The guide wire 230 is removed and a catheter 250 is inserted into the catheter sheath 240 and maneuvered with catheter ultrasonic feedback control.

公开(公告)号：US20160239959A1

公开(公告)日：2016-08-18

申请号：US15026197

申请日：2014-09-30

Applicant: Ronald GRISELL ,  Jose SALINAS ,  Lorne BLACKBOURNE ,  Eric CHIN ,  Shane SUMMERS ,  U.S. Government, as represented by the Secretary of the Army

Inventor： Lorne Blackbourne ,  Eric Chin ,  Ronald Grisell ,  Jose Salinas ,  Shane Summers

IPC: G06T7/00 ,  G06K9/46

CPC classification number: G06T7/0012 ,  G06K9/46 ,  G06K2209/05 ,  G06K2209/051 ,  G06T2207/10132 ,  G06T2207/30061

Abstract: An embodiment of the invention provides a method for identifying internal trauma in a patient for pneumothorax, hemothorax and abdominal hemorrhage using ultrasound in B-modes with radial, longitudinal, phased array probes, and with M-mode for verification of lung sliding and lung point. Identifications are based on statistical classifications of image features, including A-line, B-line, lung sliding, barcode, sky, seashore, and beach patterns. For blood pools, a polygon is fitted to the boundary, and a cellular automaton extracts local interference patterns due to cavity shape. Logic is then applied to extractions to identify the trauma. With B-mode, feature extraction involves specialized algorithms operating at frame rate for tracking of features such as ribs and rib shadows, pleural line and fast changes in peak intensities along the pleural line. Results are presented on screen by means of highlighting and textual cues.

Abstract translation: 本发明的一个实施例提供了一种利用B型模式的径向，纵向，相控阵列探针识别患者气胸，血胸和腹部出血的内部创伤的方法，以及用于验证肺部滑动和肺点的M模式 。 识别基于图像特征的统计分类，包括A线，B线，肺滑动，条形码，天空，海滨和海滩模式。 对于血液池，边界上装有一个多边形，细胞自动机由于空腔形状而提取局部干涉图案。 然后将逻辑应用于提取以识别创伤。 使用B模式，特征提取涉及以帧速率操作的专用算法，用于跟踪诸如肋和肋阴影之类的特征，胸膜线以及沿着胸膜线的峰值强度的快速变化。 结果通过突出显示和文字提示显示在屏幕上。