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公开(公告)号:US20240358266A1
公开(公告)日:2024-10-31
申请号:US18643493
申请日:2024-04-23
发明人: Jeffrey Owen , Nicholas Chung , H. Shields Day , Obed Espina
CPC分类号: A61B5/0261 , A61B5/14546 , A61B5/1455 , A61B5/391 , A61B5/395 , A61B5/397 , A61B5/6813 , A61B5/6832 , A61B5/6838 , A61B5/7267 , A61B5/7405 , A61B5/742 , A61B5/746 , A61B2560/0204 , A61B2560/045 , A61B2560/0462 , A61B2562/0233 , A61B2562/227
摘要: Exemplary embodiments provide an optical penile blood flow measuring technology for the monitoring of neurological and vascular function of structures at surgical risk. The measuring principle is to rely on optical absorption properties of blood components for penile blood flow monitoring. Certain embodiments use different wavelengths to measure changes in hemoglobin concentrations and are particularly advantageous in continuous, autonomous monitoring with real-time feedback to surgeons for potential intervention and decision-making in a timely manner. The measurements results can be used to provide real-time feedback to surgeons operating on the patient, or for off-line analysis and evaluation. Certain embodiments can operate autonomously in the continuous measurement mode, a synchronized mode, or a triggered mode, reducing the need of highly-skilled apparatus operators, allowing automatic and real-time warning to surgeons when operating in areas while preserving the functions of critical nerves, resulting in improved clinical outcomes and reducing operation costs.
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2.
公开(公告)号:US20240350040A1
公开(公告)日:2024-10-24
申请号:US18657286
申请日:2024-05-07
申请人: GAMBRO LUNDIA AB
发明人: Paolo ROVATTI , Enrico RAVAGLI , Stefano SEVERI
CPC分类号: A61B5/14535 , A61B5/0071 , A61B5/0075 , A61B5/0261 , A61B5/1455 , A61B5/6866 , A61B8/00 , A61M1/1603 , A61M1/1619 , A61M1/3601 , A61M1/3609 , A61M1/3612 , A61M1/3669 , A61B2562/00 , A61B2562/04 , A61B2562/146 , A61B2562/16 , A61B2562/164 , A61B2562/166 , A61B2562/228 , A61M1/1605 , A61M1/1613 , A61M2205/3306 , A61M2205/3334
摘要: An apparatus for extracorporeal treatment of blood comprising a treatment unit, a blood withdrawal line, a blood return line, a preparation line and a spent dialysate line; a non-invasive blood volume sensor for determining an additional property of blood is active on a tube segment of the blood withdrawal line or of the blood return line; the sensor includes one source for directing a signal towards the blood, a plurality of detectors for receiving the signal, and a controller receiving the output signals from the detectors and determining a blood volume variation and a value of sodium concentration in the blood (NaPl) both based on the output signals. A process of determining at least one parameter and on property of blood circulating an extracorporeal blood circuit is also disclosed.
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公开(公告)号:US12109061B2
公开(公告)日:2024-10-08
申请号:US17195694
申请日:2021-03-09
发明人: Lucian Mihai Itu , Tiziano Passerini , Saikiran Rapaka , Puneet Sharma , Chris Schwemmer , Max Schoebinger , Thomas Redel , Dorin Comaniciu
IPC分类号: G06T7/11 , A61B5/00 , A61B5/026 , A61B6/00 , A61B6/03 , A61B6/50 , A61B8/06 , A61B8/08 , G06F18/21 , G06F18/22 , G06F18/2413 , G06T7/00 , G06V10/42 , G06V10/776 , G16H20/00 , G16H30/40 , G16H50/20 , G16H50/50 , A61B5/02 , A61B6/46 , A61B8/00 , G16H30/20
CPC分类号: A61B6/5217 , A61B5/026 , A61B5/7267 , A61B6/032 , A61B6/504 , A61B6/507 , A61B8/06 , A61B8/065 , A61B8/5223 , G06F18/217 , G06F18/22 , G06F18/2413 , G06T7/0012 , G06T7/11 , G06V10/42 , G06V10/776 , G16H20/00 , G16H30/40 , G16H50/20 , G16H50/50 , A61B5/02007 , A61B5/02028 , A61B5/0263 , A61B5/743 , A61B6/469 , A61B8/469 , A61B2576/00 , G06T2200/04 , G06T2207/10072 , G06T2207/10076 , G06T2207/20081 , G06T2207/30101 , G06T2207/30104 , G16H30/20
摘要: In hemodynamic determination in medical imaging, the classifier is trained from synthetic data rather than relying on training data from other patients. A computer model (in silico) may be perturbed in many different ways to generate many different examples. The flow is calculated for each resulting example. A bench model (in vitro) may similarly be altered in many different ways. The flow is measured for each resulting example. The machine-learnt classifier uses features from medical scan data for a particular patient to estimate the blood flow based on mapping of features to flow learned from the synthetic data. Perturbations or alterations may account for therapy so that the machine-trained classifier may estimate the results of therapeutically altering a patient-specific input feature. Uncertainty may be handled by training the classifier to predict a distribution of possibilities given uncertain input distribution. Combinations of one or more of uncertainty, use of synthetic training data, and therapy prediction may be provided.
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公开(公告)号:US12109022B2
公开(公告)日:2024-10-08
申请号:US18471992
申请日:2023-09-21
申请人: MASIMO CORPORATION
发明人: Ammar Al-Ali , Eric Karl Kinast , Bilal Muhsin
IPC分类号: A61B5/00 , A61B5/024 , A61B5/026 , A61B5/0295 , A61B5/1455
CPC分类号: A61B5/14552 , A61B5/002 , A61B5/0022 , A61B5/0024 , A61B5/0059 , A61B5/02416 , A61B5/0261 , A61B5/0295 , A61B5/14551 , A61B5/6826 , A61B5/6831 , A61B5/6833 , A61B5/725 , A61B5/7405 , A61B5/7425 , A61B5/7445 , A61B5/746 , A61B2560/0214 , A61B2560/0266 , A61B2560/0475
摘要: A device for obtaining physiological information of a medical patient and wirelessly transmitting the obtained physiological information to a wireless receiver.
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公开(公告)号:US12109009B2
公开(公告)日:2024-10-08
申请号:US17739247
申请日:2022-05-09
发明人: David H. Burkett
CPC分类号: A61B5/0215 , A61B5/6851 , A61B18/1492 , A61B5/01 , A61B5/026 , A61B8/12 , A61B2018/00386 , A61B2018/00404 , A61B2018/0041 , A61B2018/00577 , A61B2018/1467 , A61B2090/3735 , A61B2090/3784 , A61B2562/0247 , A61B2562/227 , A61B2562/228 , A61M2210/12 , A61M2230/30 , Y10T29/49171
摘要: Intravascular devices, systems, and methods are disclosed. In some instances, the intravascular device is a guide wire with electrical conductors embedded within a core wire. In some instances, the electrical conductors are coupled to conductive bands adjacent a proximal portion of the guide wire and a sensing element adjacent a distal portion of the guide wire. Methods of making, manufacturing, and/or assembling such intravascular devices and associated systems are also provided.
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公开(公告)号:US20240324910A1
公开(公告)日:2024-10-03
申请号:US18643195
申请日:2024-04-23
发明人: Jesse Chen , Sean Merritt , Cristiano Dalvi , Ferdyan Lesmana , Hung The Vo , Kevin Hughes Pauley , Jeroen Poeze , Ruiqi Long , Stephen L. Monfre
IPC分类号: A61B5/145 , A61B5/00 , A61B5/0205 , A61B5/026 , A61B5/0295 , A61B5/0531 , A61B5/107 , A61B5/1455
CPC分类号: A61B5/14532 , A61B5/0075 , A61B5/0205 , A61B5/7203 , A61B5/7278 , A61B5/0066 , A61B5/0261 , A61B5/0295 , A61B5/0531 , A61B5/1075 , A61B5/1079 , A61B5/14551 , A61B5/442 , A61B5/443 , A61B2560/0223 , A61B2576/02
摘要: Systems, methods, apparatuses, and medical devices for harmonizing data from a plurality of non-invasive sensors are described. A physiological parameter can be determined by harmonizing data between two or more different types of non-invasive physiological sensors interrogating the same or proximate measurement sites. Data from one or more first non-invasive sensors can be utilized to identify one or more variables that are useful in one or more calculations associated with data from one or more second non-invasive sensors. Data from one or more first non-invasive sensors can be utilized to calibrate one or more second non-invasive sensors. Non-invasive sensors can include, but are not limited to, an optical coherence tomography (OCT) sensor, a bio-impedance sensor, a tissue dielectric constant sensor, a plethysmograph sensor, or a Raman spectrometer.
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公开(公告)号:US20240307130A1
公开(公告)日:2024-09-19
申请号:US18669019
申请日:2024-05-20
IPC分类号: A61B34/00 , A61B1/00 , A61B1/05 , A61B1/06 , A61B5/00 , A61B5/026 , A61B6/00 , A61B17/00 , A61B17/068 , A61B17/072 , A61B17/11 , A61B17/115 , A61B17/128 , A61B17/32 , A61B18/00 , A61B18/14 , A61B34/20 , A61B34/30 , A61B34/32 , A61B90/00 , A61B90/30 , A61B90/35 , A61M1/00 , A61M13/00 , B25J9/16 , B25J13/00 , G06K7/10 , G06K19/077 , G16H10/60 , G16H40/63 , G16H40/67 , G16H50/20 , G16H70/20 , H01Q1/22 , H04L9/40 , H04L67/10 , H04L67/12 , H04N5/272 , H04N7/18 , H05K1/02 , H05K1/18
CPC分类号: A61B34/25 , A61B1/00045 , A61B1/051 , A61B1/0661 , A61B5/0066 , A61B5/0075 , A61B5/0261 , A61B6/5247 , A61B17/0682 , A61B17/072 , A61B17/1114 , A61B17/1155 , A61B17/1285 , A61B17/320092 , A61B18/1442 , A61B18/1445 , A61B34/20 , A61B34/32 , A61B34/71 , A61B90/35 , A61B90/361 , A61M1/73 , A61M1/79 , B25J9/1697 , B25J13/006 , G06K7/10316 , G06K19/07749 , G16H10/60 , G16H40/63 , G16H40/67 , G16H50/20 , G16H70/20 , H01Q1/22 , H04L63/1416 , H04L67/10 , H04L67/12 , H04N5/272 , H04N7/183 , H05K1/028 , H05K1/189 , A61B2017/00022 , A61B2017/00026 , A61B2017/0003 , A61B2017/00039 , A61B2017/00044 , A61B2017/00057 , A61B2017/00061 , A61B2017/00075 , A61B2017/00084 , A61B2017/00097 , A61B2017/00106 , A61B2017/0011 , A61B2017/00115 , A61B2017/00119 , A61B2017/00199 , A61B2017/00203 , A61B2017/00221 , A61B2017/00398 , A61B2017/00402 , A61B2017/00734 , A61B2017/00809 , A61B2017/00818 , A61B2017/07257 , A61B2017/07271 , A61B2017/07278 , A61B2017/07285 , A61B2017/1132 , A61B2017/32007 , A61B2017/320074 , A61B2017/320084 , A61B2017/320095 , A61B2017/320097 , A61B2018/00541 , A61B2018/00589 , A61B2018/00595 , A61B2018/00601 , A61B2018/00607 , A61B2018/0063 , A61B2018/00642 , A61B2018/00684 , A61B2018/00791 , A61B2018/00827 , A61B2018/00875 , A61B2018/00892 , A61B2018/00988 , A61B2018/00994 , A61B2034/2055 , A61B2034/2057 , A61B34/30 , A61B2034/301 , A61B2034/305 , A61B2090/309 , A61B2217/005 , A61B2217/007 , A61B2218/002 , A61B2218/007 , A61B2218/008 , A61M1/80 , A61M13/003 , A61M2205/3306 , A61M2205/3327 , A61M2205/3331 , A61M2205/3365 , A61M2205/3368 , G05B2219/40174 , G05B2219/45119
摘要: A method of improving an operational parameter of a surgical system using data analytics is disclosed. The method includes transmitting, from each of a plurality of surgical hubs of the surgical system, operational data of a plurality of surgical instruments communicatively coupled to the plurality of surgical hubs, to a cloud computing system of the surgical system; aggregating, by the cloud computing system, the operational data into aggregate medical resource data; analyzing, by the cloud computing system, the aggregate medical resource data to determine a recommendation to change the operational parameter based on the analyzed aggregate medical resource data, wherein the aggregate medical resource data comprises one or more of usage data, patient derived parameter data, surgical performance data, and surgical outcome data; receiving, by the plurality of surgical hubs, the recommendation from the cloud computing system; and displaying, by the plurality of surgical hubs, the recommendation.
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公开(公告)号:US20240298939A1
公开(公告)日:2024-09-12
申请号:US18595628
申请日:2024-03-05
发明人: Geoffrey A. Shapiro
IPC分类号: A61B5/1455 , A61B3/113 , A61B3/14 , A61B5/00 , A61B5/026
CPC分类号: A61B5/14555 , A61B3/113 , A61B3/145 , A61B5/026 , A61B5/6803 , A61B5/7264
摘要: A system and method for monitoring blood oxygen levels via an eye tracking camera includes a computer system with a processor configured to identify capillaries in the image stream of a pilot's eye. Changes in capillary size over time is directly correlated to blood flow levels. The processor may monitor capillary color. Changes in capillary color is directly correlated to blood oxygen levels. The processor may take remedial action when the pilot's blood oxygen level drops below a threshold. Such remedial action may include alerting the pilot, automatically alerting ground control crew, applying increasing levels of flight automation, etc.
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9.
公开(公告)号:US20240298894A1
公开(公告)日:2024-09-12
申请号:US18661943
申请日:2024-05-13
申请人: HeartFlow, Inc.
发明人: Travis Michael SANDERS , Sethuraman SANKARAN , Leo GRADY , David SPAIN , Nan XIAO , Jin KIM , Charles A. TAYLOR
IPC分类号: A61B5/00 , A61B5/02 , A61B5/026 , G16B40/20 , G16B45/00 , G16H30/40 , G16H50/20 , G16H50/50 , G16H50/70
CPC分类号: A61B5/0044 , A61B5/02007 , G16B40/20 , G16H30/40 , G16H50/20 , G16H50/50 , G16H50/70 , A61B5/026 , G16B45/00
摘要: Systems and methods are disclosed for determining blood flow characteristics of a patient. One method includes: receiving, in an electronic storage medium, patient-specific image data of at least a portion of vasculature of the patient having geometric features at one or more points; generating a patient-specific reduced order model from the received image data, the patient-specific reduced order model comprising estimates of impedance values and a simplification of the geometric features at the one or more points of the vasculature of the patient; creating a feature vector comprising the estimates of impedance values and geometric features for each of the one or more points of the patient-specific reduced order model; and determining blood flow characteristics at the one or more points of the patient-specific reduced order model using a machine learning algorithm trained to predict blood flow characteristics based on the created feature vectors at the one or more points.
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公开(公告)号:US12076125B2
公开(公告)日:2024-09-03
申请号:US17449266
申请日:2021-09-29
发明人: Ting Ma , Jiao Yu , Jiwei Zhao , Zhiyong Wang
IPC分类号: A61B5/024 , A61B5/00 , A61B5/01 , A61B5/0205 , A61B5/021 , A61B5/0225 , A61B5/0245 , A61B5/026 , A61B5/11 , A61B5/145 , A61B5/1455 , A61B5/318 , A61B5/352 , G06F21/31
CPC分类号: A61B5/02416 , A61B5/02125 , A61B5/02141 , A61B5/0225 , A61B5/02255 , A61B5/0245 , A61B5/1102 , A61B5/14542 , A61B5/14551 , A61B5/318 , A61B5/7203 , A61B5/7235 , A61B5/746 , G06F21/31 , A61B5/01 , A61B5/0205 , A61B5/021 , A61B5/026 , A61B5/352 , A61B2560/0228
摘要: The present disclosure relates to a device, method and system for calculating, estimating, or monitoring the blood pressure of a subject. At least one processor, when executing instructions, may perform one or more of the following operations. A first signal representing heart activity of the subject may be received. A second signal representing time-varying information on at least one pulse wave of the subject may be received. A first feature in the first signal may be identified. A second feature in the second signal may be identified. A pulse transit time based on a difference between the first feature and the second feature may be computed. The blood pressure of the subject may be calculated according to a first model based on the computed pulse transit time and a first set of calibration values, the first set of calibration values relating to the subject.
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