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1. 发明公开

US20240268694A1 Noninvasive Structural and Valvular Abnormality Detection System based on Flow Aberrations 审中-公开
公开(公告)号：US20240268694A1
公开(公告)日：2024-08-15
申请号：US18618730
申请日：2024-03-27
申请人： MEDICI TECHNOLOGIES, LLC
发明人： Mark Ries Robinson , Jasmine Sanchez , Robert K Rowe
IPC分类号： A61B5/026 , A61B5/00 , A61B5/02
CPC分类号： A61B5/0261 , A61B5/02007 , A61B5/4842
摘要： Embodiments provide a reliable, convenient, noninvasive, and cost-effective determination of structural and valvular abnormalities in the left ventricular outflow tract. Embodiments obtain a noninvasive optical pulse plethysmogram from the systolic and diastolic phases of the cardiac cycle for subsequent morphologic waveform analysis to determine left ventricular outflow tract anomalies. Left ventricular outflow tract abnormalities alter the rate of increase in flow during early systole and decrease in flow during late systole. These flow variances at the aortic valve are amplified as the pulse wave moves to the periphery due to a combination of the ventricular-aortic interaction, pulse augmentation, and reflections at branching vessels and changes in diameter. The invention addresses historical limitations in the noninvasive determination of structural and valvular abnormalities in the left ventricular outflow tract by using one or more of (1) improved optical measurement systems, (2) peripheral sampling locations that maximize signal differences, (3) volitional patient maneuvers to improve the diagnostic ability of the system, and (4) pulse enhancement techniques. The resulting test system can be used to determine the presence of abnormalities and to diagnose the type of abnormality. The ability to more efficiently and effectively diagnose aortic stenosis, the most common abnormality, in the primary care clinic will result in fewer patients experiencing complications such as heart failure, heart attack, and sudden death.

2. 发明公开

US20240252069A1 REPORTING OF GLYCEMIC VARIABILITY FROM CONTINUOUS GLUCOSE MONITORING 审中-公开
公开(公告)号：US20240252069A1
公开(公告)日：2024-08-01
申请号：US18629819
申请日：2024-04-08
申请人： Senseonics, Incorporated
发明人： James Masciotti , Barbara Montgomery
IPC分类号： A61B5/145 , A61B5/00 , G16H10/40 , G16H50/30
CPC分类号： A61B5/14532 , A61B5/0004 , A61B5/7435 , G16H50/30 , A61B5/4842 , A61B5/6801 , A61B5/743 , A61B5/746 , A61B5/7465 , G16H10/40
摘要： In one aspect, a method of estimating an HbA1c level is provided. The method may include obtaining a first and second glucose measurement, adding the first and the second glucose measurements to a glucose measurement data set, and calculating an estimated HbA1c level using at least the glucose measurement data set. In another aspect, a method of calculating a range of an estimated HbA1c level is provided. The method may comprise at least calculating an estimated HbA1c level and a standard deviation of the estimated HbA1c level using a glucose measurement data set, and combining the estimated HbA1c level with the standard deviation of the estimated HbA1c level to acquire the range of the estimated HbA1c level. In another aspect, a glucose monitoring device may display glycemic variability of an individual.

3. 发明授权

US12029503B2 Ultrasound localization system with advanced biopsy site markers 有权
公开(公告)号：US12029503B2
公开(公告)日：2024-07-09
申请号：US17557773
申请日：2021-12-21
申请人： HOLOGIC, INC.
发明人： John Laviola , Shawn St. Pierre , Brian Stellmach , Lori Fontaine , Joseph A. Stand, III , Estefania Alvarez , Stephen Grantz , Michelle Dawn Lyman , Shannon Marie Butler , Yuliya Mathis
IPC分类号： A61B34/20 , A61B5/06 , A61B8/00 , A61B8/08 , A61B17/3211 , A61B90/00 , G06T7/70 , A61B5/00 , A61B5/145 , A61B17/00 , A61B18/00 , A61B34/00
CPC分类号： A61B34/20 , A61B5/065 , A61B8/0841 , A61B8/085 , A61B8/4254 , A61B8/46 , A61B8/463 , A61B8/481 , A61B17/3211 , A61B90/39 , G06T7/70 , A61B5/14503 , A61B5/4842 , A61B8/0825 , A61B2017/00867 , A61B2017/00964 , A61B2018/00595 , A61B2034/2063 , A61B2034/2065 , A61B34/25 , A61B2090/378 , A61B2090/3904 , A61B2090/3908 , A61B2090/3912 , A61B2090/3925 , A61B2090/395 , A61B2090/3995 , G06T2207/10132 , G06T2207/20081 , G06T2207/30096 , G06T2207/30204
摘要： Disclosed biopsy markers are adapted to serve as localization markers during a surgical procedure. Adaptation includes incorporation of materials detectable under ultrasound during surgery, as well as features for co-registration with image guidance or other real-time imaging technologies during surgery. Such biopsy markers, when used as localization markers, improve patient comfort and reduce challenges in surgical coordination and surgery time. Additional disclosed biopsy markers are adapted to serve as monitoring and/or detection apparatuses. Localization of an implanted marker may be done with ultrasound technology. Ultrasound image data is analyzed to identify the implanted marker. A distance to the marker or a lesion may be determined and displayed. The determined distance may be a distance between the ultrasound probe and the marker or lesion, a distance between the marker or lesion and an incision instrument, and/or a distance between the ultrasound probe and the incision instrument.

4. 发明公开

US20240212843A1 METHOD AND APPARATUS FOR CONVERTING ELECTRICAL BIOSIGNAL DATA INTO NUMERICAL VECTORS, AND METHOD AND APPARATUS FOR ANALYZING DISEASE BY USING SAME 审中-公开
公开(公告)号：US20240212843A1
公开(公告)日：2024-06-27
申请号：US18270185
申请日：2021-12-29
申请人： Seoul National University Hospital
发明人： Joonghee Kim
IPC分类号： G16H50/20 , A61B5/00 , A61B5/318 , G06N3/084
CPC分类号： G16H50/20 , A61B5/318 , A61B5/4842 , A61B5/7267 , G06N3/084
摘要： Embodiments relate to a method and apparatus for extracting numerical vector information by using a deep learning algorithm from electrical biosignal data, particularly, single-channel or multi-channel electrocardiogram signals, or black-and-white or color electrocardiogram images obtained on the basis of the electrocardiogram signals, and to a method and apparatus for analyzing and predicting a disease, and providing diagnostic auxiliary information about the disease by using the method and apparatus.

5. 发明授权

US12014822B2 Machine learning device, trained model, data structure, periodontal disease detection method, periodontal disease detection system, and periodontal disease detection kit 有权
公开(公告)号：US12014822B2
公开(公告)日：2024-06-18
申请号：US16488661
申请日：2018-02-28
申请人： Mitsui Chemicals, Inc.
发明人： Makoto Taniguchi
IPC分类号： A61C19/04 , A61B5/00 , G06F18/21 , G06F18/214 , G06K9/62 , G06N3/04 , G06N3/044 , G06N3/063 , G06N20/00 , G16H50/20 , G16H50/70
CPC分类号： G16H50/20 , A61B5/4842 , A61C19/04 , G06F18/214 , G06F18/217 , G06N3/044 , G06N3/063 , G06N20/00 , G16H50/70
摘要： A machine learning device that includes a training section configured perform training based on plural training data each configured from oral cavity information detected from a specimen and at least one determination value selected from the group consisting of a probability of periodontal disease contraction of a provider of the specimen or a state of periodontal disease, so as to train the function to decide the determination value. The training section includes a reward calculation section, a function updating section, and a convergence determination section. The reward calculation section calculates a reward for a defined result of the probability of periodontal disease contraction or the state of periodontal disease based on the training data. The function updating section updates the function so as to increase the reward calculated by the reward calculation section. The convergence determination section causes repeated calculations and updates until a predetermined convergence condition is satisfied.

6. 发明公开

US20240180424A1 Systems and Methods for Monitoring Eye Health 审中-公开
公开(公告)号：US20240180424A1
公开(公告)日：2024-06-06
申请号：US18415434
申请日：2024-01-17
申请人： Matthew Rickard , Creed Jones
发明人： Matthew Rickard , Creed Jones
IPC分类号： A61B3/16 , A61B3/00 , A61B3/12 , A61B3/14 , A61B5/00 , A61B5/07 , A61B5/11 , G01B7/16 , G01B11/16 , G01M5/00 , G16H40/63 , G16H50/30
CPC分类号： A61B3/16 , A61B3/0008 , A61B3/0025 , A61B3/0083 , A61B3/1241 , A61B3/145 , A61B5/0013 , A61B5/076 , A61B5/1116 , A61B5/4842 , A61B5/4884 , A61B5/6803 , A61B5/686 , A61B5/6898 , A61B5/7275 , G01B7/18 , G01B11/165 , G01M5/0008 , G01M5/0033 , G01M5/0083 , A61B2560/0214 , A61B2560/0219 , A61B2562/0219 , A61B2562/0261 , A61B2562/0266 , A61B2562/164 , G01B2210/58 , G16H40/63 , G16H50/30
摘要： Systems and methods for monitoring eye health. The systems and methods monitor eye health by measuring scleral strain by way of an implantable monitor, a wearable monitor configured in eyeglasses, or an external monitor using a portable tablet computing device.
Certain embodiments of the strain monitor may be utilized to measure the strain on any surface to which it is attached, including, but not limited to, the skin of a patient or the surface of a structure such as a building or a bridge.

7. 发明授权

US11972872B1 Forecasting clinical events from short physiologic timeseries 有权
公开(公告)号：US11972872B1
公开(公告)日：2024-04-30
申请号：US16582713
申请日：2019-09-25
申请人： CERNER INNOVATION, INC.
发明人： Douglas S. McNair
IPC分类号： G16H50/50 , A61B5/00 , A61B5/021 , A61B5/024
CPC分类号： G16H50/50 , A61B5/021 , A61B5/024 , A61B5/4842 , A61B5/7275 , A61B5/7278
摘要： Systems, methods and computer-readable media are provided for monitoring patients and quantitatively predicting whether an event such as a significant change in health status meriting intervention, is likely to occur within a future time interval subsequent to computing the prediction. Medical data for a patient is collected from one or more different inputs and used to determine time series data. From this, a forecasted numerical value is computed for one or more physiologic parameters associated with the patient, which may be used to further monitor the patient and facilitate decision making about a need for intensified monitoring or intervention to prevent or manage physiologic or hemodynamic deterioration. An evolutionary algorithm, such as particle swarm optimization and/or differential evolution, may be used to determine the most probable value of the physiologic parameter(s) at one or more future times.

8. 发明授权

US11963786B2 Systems and method for detecting cognitive impairment 有权
公开(公告)号：US11963786B2
公开(公告)日：2024-04-23
申请号：US17298925
申请日：2019-12-06
申请人： UNIVERSITY OF MIAMI
发明人： Delia DeBuc
IPC分类号： A61B5/00 , A61B3/12 , A61B5/398
CPC分类号： A61B5/4088 , A61B3/12 , A61B5/398 , A61B5/4842 , A61B5/489
摘要： Systems, methods, and computer readable media for determining cognitive impairment (CI) in patients are provided herein. Various regional structural-functional parameters of the retina can serve as biomarkers for the detection of CI. The method can include forming a database including a quantification of retinal structure and retinal function of a plurality of eyes associated with a plurality of patients, providing a baseline cognitive impairment (CI) reference. The method can include determining a measure of functionality of neurons in the retina based on an electroretinogram (ERG) of a patient. The method can include determining a structural measure of the first retina based on a generalized dimension spectrum and singularity spectrum of the skeletonized retinal image, and a lacunarity parameter of the skeletonized retinal image. The method can include determining a level of cognitive impairment based on the structural and functional measures.

9. 发明授权

US11961228B2 Medical image processing system 有权
公开(公告)号：US11961228B2
公开(公告)日：2024-04-16
申请号：US17245895
申请日：2021-04-30
申请人： FUJIFILM Corporation
发明人： Tatsuya Aoyama
IPC分类号： G06K9/00 , A61B5/00 , A61B5/02 , G06T7/00 , G06T7/11 , G06V10/143 , G06V10/25 , G06V10/75 , G06V10/764
CPC分类号： G06T7/0012 , A61B5/02007 , A61B5/4842 , G06T7/11 , G06V10/143 , G06V10/25 , G06V10/751 , G06V10/764 , G06T2207/10068 , G06T2207/30096 , G06T2207/30101
摘要： A medical image acquisition unit acquires a medical image obtained by imaging an observation target. A feature amount calculation unit calculates a feature amount of the observation target for each pixel of an image region of the medical image or for each divided region obtained by dividing the image region of the medical image into a specific size. A stage determination unit calculates a distribution index value which is an index value of the spatial distribution of the feature amount of each divided region, and determines the disease stage of the observation target based on the distribution index value.

10. 发明公开

US20240099654A1 ESTIMATING RECOVERY LEVEL OF A PATIENT 审中-公开
公开(公告)号：US20240099654A1
公开(公告)日：2024-03-28
申请号：US18485782
申请日：2023-10-12
申请人： NEC Corporation
发明人： Toshinori HOSOI , Shoji Yachida
IPC分类号： A61B5/00 , A61B3/113 , A61B5/16
CPC分类号： A61B5/4842 , A61B3/113 , A61B5/163 , A61B5/742
摘要： In a recovery level estimation device, an image acquisition means acquires images in which eyes of a patient are captured. An eye movement feature extraction means extracts an eye movement feature which is a feature of an eye movement based on the images. A recovery level estimation means estimates a recovery level of the patient based on the eye movement feature by using a recovery level estimation model which has been learned by machine learning in advance.

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