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    USE OF HEMOGLOBIN EFFECTORS TO INCREASE THE BIOAVAILABILITY OF THERAPEUTIC GASES
    1.
    发明申请
    USE OF HEMOGLOBIN EFFECTORS TO INCREASE THE BIOAVAILABILITY OF THERAPEUTIC GASES 审中-公开
    HEMOGLOBIN效应使用可以提高治疗气体的生物利用度

    公开(公告)号：US20130266668A1

    公开(公告)日：2013-10-10

    申请号：US13990252

    申请日：2011-12-01

    申请人： Martin Safo ,  Kevin R. Ward

    发明人： Martin Safo ,  Kevin R. Ward

    IPC分类号： A61K31/196 ,  A61K31/6615

    CPC分类号： A61K31/196 ,  A61K9/0019 ,  A61K31/02 ,  A61K31/192 ,  A61K31/6615 ,  A61K31/665 ,  A61K33/00 ,  A61K33/16 ,  A61K38/42 ,  Y02A50/411 ,  A61K2300/00

    摘要： Methods which increase the bioavailability of beneficial gases in the circulatory system are provided. The methods involve administering agents that changes the binding affinity of a medicinal gas such as NO, CO, H2S, N2O, SO, SO2 and O2 for Hb and/or hemoglobin based oxygen carriers (HBOCs). The change results in increased release of gases carried by Hb and HBOCs. As a result, the concentration of the OH gases in circulation is raised, and they are more available to exert their beneficial effects, e.g. in the treatment of disease or conditions caused by low levels of the gases. The methods are optionally used together with administration of medicinal gases and/or administration of HBOCs and/or other non-HBOC gas carriers such as PFC, and as (or in conjunction with) diagnostic methods.

    摘要翻译： 提供了增加循环系统中有益气体的生物利用度的方法。 所述方法涉及改变Hb和/或血红蛋白基氧载体（HBOC）等药物气体如NO，CO，H2S，N2O，SO，SO2和O2的结合亲和力的药剂。 这种变化导致Hb和HBOCs携带的气体释放量增加。 结果，循环中的OH气体的浓度升高，并且它们更有效地发挥其有益效果，例如， 在治疗由低水平的气体引起的疾病或病症。 任选地与药物气体的施用和/或施用HBOC和/或其它非HBOC气体载体（例如PFC）一起使用，以及作为（或与其结合）诊断方法一起使用该方法。

    Automated measurement of brain injury indices using brain CT images, injury data, and machine learning
    2.
    发明授权
    Automated measurement of brain injury indices using brain CT images, injury data, and machine learning 有权

    公开(公告)号：US10303986B2

    公开(公告)日：2019-05-28

    申请号：US13383351

    申请日：2010-03-17

    申请人： Kayvan Najarian ,  Wenan Chen ,  Kevin R. Ward

    发明人： Kayvan Najarian ,  Wenan Chen ,  Kevin R. Ward

    IPC分类号： A61B5/00 ,  G06K9/62 ,  G06T7/00 ,  G06T7/42 ,  G06T7/68 ,  G06F19/00 ,  G16H50/20

    摘要： A decision-support system and computer implemented method automatically measures the midline shift in a patient's brain using Computed Tomography (CT) images. The decision-support system and computer implemented method applies machine learning methods to features extracted from multiple sources, including midline shift, blood amount, texture pattern and other injury data, to provide a physician an estimate of intracranial pressure (ICP) levels. A hierarchical segmentation method, based on Gaussian Mixture Model (GMM), is used. In this approach, first an Magnetic Resonance Image (MRI) ventricle template, as prior knowledge, is used to estimate the region for each ventricle. Then, by matching the ventricle shape in CT images to the MRI ventricle template set, the corresponding MRI slice is selected. From the shape matching result, the feature points for midline estimation in CT slices, such as the center edge points of the lateral ventricles, are detected. The amount of shift, along with other information such as brain tissue texture features, volume of blood accumulated in the brain, patient demographics, injury information, and features extracted from physiological signals, are used to train a machine learning method to predict a variety of important clinical factors, such as intracranial pressure (ICP), likelihood of success a particular treatment, and the need and/or dosage of particular drugs.

    Device for control of difficult to compress hemorrhage
    3.
    发明授权
    Device for control of difficult to compress hemorrhage 有权
    用于控制难以压缩出血的装置

    公开(公告)号：US09271738B2

    公开(公告)日：2016-03-01

    申请号：US12601706

    申请日：2008-05-30

    申请人： Kevin R. Ward ,  Mark Licata

    发明人： Kevin R. Ward ,  Mark Licata

    IPC分类号： A61B17/00 ,  A61B17/132 ,  A61B17/135 ,  A61B17/12

    CPC分类号： A61B17/135 ,  A61B17/12 ,  A61B17/1322 ,  A61B17/1325 ,  A61B2017/12004

    摘要： Bleeding from blood vessels located in difficult-to-compress regions of the body (especially the abdomen, pelvic or groin region) is controlled by the use of a portable, small-footprint belt-like device that contains multiple inflatable bladders. The inflatable bladders are selectively positioned and inflated over exsanguinating blood vessels, thereby exerting pressure to stop the bleeding. The device may also be used to provide perfusion support in low flow disease states such as hemorrhagic shock and cardiac arrest.

    摘要翻译： 通过使用便携式，占地面积小的带状装置来控制位于身体难以压缩区域（特别是腹部，骨盆或腹股沟区域）的血管的出血，该装置包含多个充气囊。 可膨胀气囊在放血血管上被选择性定位和充气，从而施加压力以止血。 该装置还可用于在低流量疾病状态（例如出血性休克和心脏骤停）中提供灌注支持。

    Tissue interrogation spectroscopy
    5.
    发明授权
    Tissue interrogation spectroscopy 有权
    组织询问光谱学

    公开(公告)号：US07113814B2

    公开(公告)日：2006-09-26

    申请号：US10332613

    申请日：2001-07-13

    申请人： Kevin R. Ward ,  R. Wayne Barbee ,  James Terner ,  Rao R. Ivatury ,  Fred Hawkridge

    发明人： Kevin R. Ward ,  R. Wayne Barbee ,  James Terner ,  Rao R. Ivatury ,  Fred Hawkridge

    IPC分类号： A61B5/00

    CPC分类号： G01N21/65 ,  A61B5/0071 ,  A61B5/0075 ,  A61B5/0084 ,  A61B5/0086 ,  A61B5/14539 ,  A61B5/14546 ,  A61B5/1455 ,  A61B5/14551 ,  A61B5/412 ,  A61B5/445

    摘要： In an emergency medicine patient, accurate measurement of change or lack thereof from non-shock, non-ischemic, non-inflammation, non-tissue injury, non-immune dysfunction conditions is important and is provided, as practical, real-time approaches for accurately characterizing a patient's condition, using Raman (3) and/or fluorescence (30) spectroscopy with a high degree of accuracy. Measurement times are on the order of seconds. High-accuracy measurement is achieved with Raman spectroscopy interrogation of tissue. Simultaneous interrogation by NADH fluorescence spectroscopy may he used. Measurements may be non-invasive to minimally invasive. Preclinical (ultra-early) states of shock can be detected (5), severity can be determined, effectiveness of various treatments can be determined.

    摘要翻译： 在紧急医学病人中，从非休克，非缺血，非炎症，非组织损伤，非免疫功能障碍状况的准确测量变化或缺乏是非常重要的，并提供了实际的实时方法 使用拉曼（3）和/或荧光（30）光谱学准确地表征患者的状况。 测量次数为秒数。 通过拉曼光谱询问组织实现高精度测量。 他可以使用NADH荧光光谱法进行同时询问。 测量可能是非侵入性的微创。 可以检测到临床前（超早期）休克状态（5），可以确定严重程度，可以确定各种治疗的有效性。

    Non-invasive aortic impingement and core and cerebral temperature manipulation
    6.
    发明授权
    Non-invasive aortic impingement and core and cerebral temperature manipulation 失效
    非侵入性主动脉冲击和核心和脑温度操纵

    公开(公告)号：US5716386A

    公开(公告)日：1998-02-10

    申请号：US598734

    申请日：1996-02-08

    申请人： Kevin R. Ward ,  Charles G. Brown ,  Roger R. Dzwonczyk

    发明人： Kevin R. Ward ,  Charles G. Brown ,  Roger R. Dzwonczyk

    IPC分类号： A61B17/12 ,  A61F7/12

    CPC分类号： A61B17/12099 ,  A61B17/12022 ,  A61B17/12036 ,  A61B17/12109 ,  A61B17/12136 ,  A61F7/123

    摘要： A non-invasive method and apparatus for at least partially occluding the descending aorta of a patient and for manipulating core and cerebral temperature includes positioning an elongated tubular member which may have a moveable surface through the esophagus and displacing the moveable surface thereby applying a force posteriorly in the direction of the patient's descending aorta sufficient to partially or substantially completely occlude the descending aorta. The tubular member may include a heat exchange surface and a heat transfer mechanism for transferring heat to the heat transfer surface or for transferring heat from the heat transfer surface in order to modify the temperature of a portion of the patient.

    摘要翻译： 用于至少部分闭塞患者的下降主动脉并用于操纵核心和脑温度的非侵入性方法和装置包括定位细长管状构件，该细长管状构件可具有穿过食道的可移动表面并移动可移动表面，从而施加向后的力 在患者降主动脉的方向上足以部分或基本上完全闭塞降主动脉。 管状构件可以包括热交换表面和用于将热传递到传热表面或用于从热传递表面传递热量以便改变患者部分的温度的热传递机构。

    Accurate Pelvic Fracture Detection for X-Ray and CT Images
    9.
    发明申请
    Accurate Pelvic Fracture Detection for X-Ray and CT Images 有权
    X射线和CT图像的准确骨盆骨折检测

    公开(公告)号：US20120143037A1

    公开(公告)日：2012-06-07

    申请号：US13255542

    申请日：2010-03-17

    申请人： Kayvan Najarian ,  Simina Vasilache ,  Rebecca Smith ,  Kevin R. Ward

    发明人： Kayvan Najarian ,  Simina Vasilache ,  Rebecca Smith ,  Kevin R. Ward

    IPC分类号： A61B6/00 ,  G06F15/18

    CPC分类号： G06T7/0012 ,  A61B6/032 ,  A61B6/505 ,  A61B6/5217 ,  A61B6/5235 ,  G06T7/11 ,  G06T2207/10081 ,  G06T2207/10116 ,  G06T2207/20212 ,  G06T2207/30008

    摘要： Accurate pelvic fracture detection is accomplished with automated X-ray and Computed Tomography (CT) images for diagnosis and recommended therapy. The system combines computational methods to process images from two different modalities, using Active Shape Model (ASM), spline interpolation, active contours, and wavelet transform. By processing both X-ray and CT images, features which may be visible under one modality and not under the other are extracted and validates and confirms information visible in both. The X-ray component uses hierarchical approach based on directed Hough Transform to detect pelvic structures, removing the need for manual initialization. The X-ray component uses cubic spline interpolation to regulate ASM deformation during X-ray image segmentation. Key regions of the pelvis are first segmented and identified, allowing detection methods to be specialized to each structure using anatomical knowledge. The CT processing component is able to distinguish bone from other non-bone objects with similar visual characteristics, such a blood and contrast fluid, permitting detection and quantification of soft tissue hemorrhage. The CT processing component draws attention to slices where irregularities are detected, reducing the time to fully examine a pelvic CT scan. The quantitative measurement of bone displacement and hemorrhage area are used as input for a trauma decision-support system, along with physiological signals, injury details and demographic information.

    摘要翻译： 使用自动X射线和计算机断层扫描（CT）图像进行准确的骨盆骨折检测，用于诊断和推荐治疗。 该系统结合计算方法来处理来自两种不同模态的图像，使用主动形状模型（ASM），样条插值，主动轮廓和小波变换。 通过处理X射线和CT图像，可以提取并验证在一种模式下不可见的特征，并验证两者中可见的信息。 X射线组件使用基于定向霍夫变换的分层方法来检测骨盆结构，消除对手动初始化的需要。 X射线成分使用三次样条插值来调节X射线图像分割过程中的ASM变形。 骨盆的关键区域首先被分割和识别，从而允许使用解剖学知识来检测各种结构的检测方法。 CT处理组件能够将具有类似视觉特征的骨骼与其他具有类似视觉特征的非骨骼物体（如血液和造影剂）区分开，从而允许检测和定量软组织出血。 CT处理组件提请注意检测不规则的切片，减少完全检查盆腔CT扫描的时间。 骨移位和出血面积的定量测量用作创伤决策支持系统的输入，以及生理信号，损伤细节和人口统计信息。

    Combining Predictive Capabilities of Transcranial Doppler (TCD) with Electrocardiogram (ECG) to Predict Hemorrhagic Shock
    10.
    发明申请
    Combining Predictive Capabilities of Transcranial Doppler (TCD) with Electrocardiogram (ECG) to Predict Hemorrhagic Shock 失效
    将经颅多普勒（TCD）与心电图（ECG）的预测能力结合预测出血性休克

    公开(公告)号：US20120136224A1

    公开(公告)日：2012-05-31

    申请号：US13255549

    申请日：2010-03-17

    申请人： Kayvan Najarian ,  Kevin R. Ward ,  Soo-Yeon Ji ,  Roya Hakimzadeh

    发明人： Kayvan Najarian ,  Kevin R. Ward ,  Soo-Yeon Ji ,  Roya Hakimzadeh

    IPC分类号： A61B5/0402 ,  A61B5/021 ,  A61B5/053 ,  A61B8/06

    CPC分类号： A61B5/0402 ,  A61B5/026 ,  A61B5/0295 ,  A61B5/04014 ,  A61B5/7203 ,  A61B5/726 ,  A61B5/7267 ,  A61B5/7275 ,  A61B8/06 ,  A61B8/0808 ,  G06F19/00 ,  G06K9/00523 ,  G16H50/20

    摘要： A real-time decision-support system predicts hemorrhagic shock of a patient by analysis of electrocardiogram (ECG) signals and transcranial Doppler (TCD) signals from the patient. These signals are subject to signal decomposition using Discrete Wavelet Transform (DWT) to sets of wavelet coefficients and selecting significant signal features. Machine learning is applied to the significant features to evaluate and classify hypovolemia severity based on the input ECG and TCD signals from the patient. The classification of blood loss severity is displayed in real-time. An extension of the decision-support system integrates Arterial Blood Pressure (ABP) signals and thoracic electrical bio-impedance (DZT) signals with the ECG and TCD signals from the patient to evaluate severity of hypovolemia.

    摘要翻译： 实时决策支持系统通过分析来自患者的心电图（ECG）信号和经颅多普勒（TCD）信号来预测患者的出血性休克。 这些信号经过信号分解，使用离散小波变换（DWT）对小波系数的集合和选择显着的信号特征。 机器学习应用于显着特征，以根据患者的输入ECG和TCD信号评估和分类血容量不足严重程度。 失血严重程度分类显示实时显示。 决策支持系统的扩展将动脉血压（ABP）信号和胸部电生物阻抗（DZT）信号与患者的ECG和TCD信号相结合，以评估血容量不足的严重程度。