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1.发明申请公开(公告)号：US20210272679A1
公开(公告)日：2021-09-02
申请号：US17200554
申请日：2021-03-12
Applicant: EchoNous, Inc.
Inventor： Nikolaos Pagoulatos , Ramachandra Pailoor , Kevin Goodwin
IPC: G16H30/20 , G06K9/62 , A61B8/00 , G16H50/20 , G06K9/46 , A61B8/08 , G16H30/40 , G06F3/0484 , G06T7/00
Abstract: Ultrasound image recognition systems and methods, and artificial intelligence training networks for such systems and methods, are provided. An ultrasound data information system includes an ultrasound image recognition training network that is configured to receive ultrasound training images and to develop ultrasound image knowledge based on the received ultrasound training images. An ultrasound imaging device acquires ultrasound images of a patient, and the device includes an ultrasound image recognition module. The ultrasound image recognition module is configured to receive the ultrasound image knowledge, receive the acquired ultrasound images from the ultrasound imaging device, and determine, based on the ultrasound image knowledge, whether the received ultrasound images represent a clinically desirable view of an organ or whether the clinically desirable views indicate normal function or a particular pathology. The received ultrasound images are transmitted to the ultrasound image recognition training network for further training and development of updated ultrasound image knowledge.
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公开(公告)号：US20210393242A1
公开(公告)日：2021-12-23
申请号：US17350914
申请日：2021-06-17
Applicant: EchoNous, Inc.
Inventor： Ramachandra Pailoor , Eung-Hun Kim , Qianying Miao , Nidhi Jaiswal , Nikolaos Pagoulatos
IPC: A61B8/08
Abstract: Devices, systems, and methods are provided in which noise or artifacts generated by motion of a probe are attenuated in acquired physiological data, such as auscultation or ultrasound data. One such method includes acquiring physiological data of a patient by a handheld device. Motion of the handheld device is sensed, and a determination is made as to whether the sensed motion of the handheld device exceeds a motion threshold. The method further includes generating conditioned physiological data of the patient by attenuating a portion of the acquired physiological data in response to determining that the sensed motion of the handheld device exceeds the motion threshold.
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公开(公告)号：US20210186466A1
公开(公告)日：2021-06-24
申请号：US17135760
申请日：2020-12-28
Applicant: EchoNous, Inc.
Inventor： Nikolaos Pagoulatos , Ramachandra Pailoor , Greg Nieminen , Terry Doherty , Ron Broad , Shelby Brunke
IPC: A61B8/08 , A61B7/04 , A61B5/00 , A61B5/1455 , A61B8/00 , A61B5/0205 , A61B5/282 , A61B5/316 , A61B5/332 , A61B5/333 , A61B5/339
Abstract: Systems, methods and devices for providing combined ultrasound, electrocardiography, and auscultation data are provided. One such system includes an ultrasound sensor, an electrocardiogram (EKG) sensor, an auscultation sensor, and a computing device. The computing device includes memory and a processor, and the processor receives signals from the ultrasound sensor, the EKG sensor, and the auscultation sensor. Artificial intelligence techniques may be employed for automatically analyzing the data obtained from the ultrasound sensor, the EKG sensor, and the auscultation sensor and producing a clinically-relevant determination based on a combined analysis of the data.
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公开(公告)号：US10507009B2
公开(公告)日：2019-12-17
申请号：US15969632
申请日：2018-05-02
Applicant: EchoNous, Inc.
Inventor： Nikolaos Pagoulatos , Ramachandra Pailoor , Greg Nieminen , Terry Doherty , Ron Broad , Shelby Brunke
IPC: A61B5/00 , A61B8/00 , A61B5/0432 , A61B5/0404 , A61B5/04 , A61B5/0205 , A61B8/08 , A61B7/04 , A61B5/1455 , A61B5/044 , A61B5/0408
Abstract: Systems, methods and devices for providing combined ultrasound, electrocardiography, and auscultation data are provided. One such system includes an ultrasound sensor, an electrocardiogram (EKG) sensor, an auscultation sensor, and a computing device. The computing device includes memory and a processor, and the processor receives signals from the ultrasound sensor, the EKG sensor, and the auscultation sensor. Artificial intelligence techniques may be employed for automatically analyzing the data obtained from the ultrasound sensor, the EKG sensor, and the auscultation sensor and producing a clinically-relevant determination based on a combined analysis of the data.
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公开(公告)号：US20190282213A1
公开(公告)日：2019-09-19
申请号：US16355257
申请日：2019-03-15
Applicant: EchoNous, Inc.
Inventor： Brandon S. Cheung , Ramachandra Pailoor , Eung-Hun Kim , Bradley Scott Melmon , Greg Nieminen , Shelby Brunke , Nidhi Jaiswal , Qianying Miao
Abstract: Systems and methods for controlling parameters associated with ultrasound images displayed on a computing device, based on sensed motion of the computing device, are provided herein. One such system includes an ultrasound probe and a computing device coupled to the ultrasound probe and operable to receive ultrasound signals from the ultrasound probe. The computing device includes a motion sensor that senses motion of the computing device, a display that displays ultrasound images associated with the ultrasound signals received from the ultrasound probe, and an image display controller that controls at least one parameter associated with the displayed ultrasound images based on the sensed motion.
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Patent Agency Ranking
公开(公告)号：US20190105019A1
公开(公告)日：2019-04-11
申请号：US15969632
申请日：2018-05-02
Applicant: EchoNous, Inc.
Inventor： Nikolaos Pagoulatos , Ramachandra Pailoor , Greg Nieminen , Terry Doherty , Ron Broad , Shelby Brunke
IPC: A61B8/08 , A61B7/04 , A61B5/00 , A61B5/1455 , A61B8/00 , A61B5/0205 , A61B5/044 , A61B5/0404 , A61B5/04 , A61B5/0408 , A61B5/0432
Abstract: Systems, methods and devices for providing combined ultrasound, electrocardiography, and auscultation data are provided. One such system includes an ultrasound sensor, an electrocardiogram (EKG) sensor, an auscultation sensor, and a computing device. The computing device includes memory and a processor, and the processor receives signals from the ultrasound sensor, the EKG sensor, and the auscultation sensor. Artificial intelligence techniques may be employed for automatically analyzing the data obtained from the ultrasound sensor, the EKG sensor, and the auscultation sensor and producing a clinically-relevant determination based on a combined analysis of the data.
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公开(公告)号：US11647992B2
公开(公告)日：2023-05-16
申请号：US17135760
申请日：2020-12-28
Applicant: EchoNous, Inc.
Inventor： Nikolaos Pagoulatos , Ramachandra Pailoor , Greg Nieminen , Terry Doherty , Ron Broad , Shelby Brunke
IPC: A61B7/04 , A61B5/00 , A61B8/00 , A61B5/316 , A61B5/332 , A61B5/282 , A61B5/333 , A61B5/339 , A61B8/08 , A61B5/1455 , A61B5/0205
CPC classification number: A61B8/5284 , A61B5/0006 , A61B5/0205 , A61B5/14551 , A61B5/282 , A61B5/316 , A61B5/332 , A61B5/333 , A61B5/339 , A61B5/7264 , A61B7/04 , A61B8/4416 , A61B8/4427 , A61B8/4472 , A61B8/463 , A61B2562/0219 , A61B2562/0247
Abstract: Systems, methods and devices for providing combined ultrasound, electrocardiography, and auscultation data are provided. One such system includes an ultrasound sensor, an electrocardiogram (EKG) sensor, an auscultation sensor, and a computing device. The computing device includes memory and a processor, and the processor receives signals from the ultrasound sensor, the EKG sensor, and the auscultation sensor. Artificial intelligence techniques may be employed for automatically analyzing the data obtained from the ultrasound sensor, the EKG sensor, and the auscultation sensor and producing a clinically-relevant determination based on a combined analysis of the data.
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8.发明授权公开(公告)号：US10964424B2
公开(公告)日：2021-03-30
申请号：US15454678
申请日：2017-03-09
Applicant: EchoNous, Inc.
Inventor： Nikolaos Pagoulatos , Ramachandra Pailoor , Kevin Goodwin
IPC: G06T7/00 , A61B8/00 , A61B8/08 , G06F3/0484 , G16H30/20 , G06K9/62 , G16H50/20 , G06K9/46 , G16H30/40
Abstract: Ultrasound image recognition systems and methods, and artificial intelligence training networks for such systems and methods, are provided. An ultrasound data information system includes an ultrasound image recognition training network that is configured to receive ultrasound training images and to develop ultrasound image knowledge based on the received ultrasound training images. An ultrasound imaging device acquires ultrasound images of a patient, and the device includes an ultrasound image recognition module. The ultrasound image recognition module is configured to receive the ultrasound image knowledge, receive the acquired ultrasound images from the ultrasound imaging device, and determine, based on the ultrasound image knowledge, whether the received ultrasound images represent a clinically desirable view of an organ or whether the clinically desirable views indicate normal function or a particular pathology. The received ultrasound images are transmitted to the ultrasound image recognition training network for further training and development of updated ultrasound image knowledge.
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公开(公告)号：US20210077068A1
公开(公告)日：2021-03-18
申请号：US17018837
申请日：2020-09-11
Applicant: EchoNous, Inc.
Inventor： Allen Lu , Matthew Cook , Babajide Ayinde , Nikolaos Pagoulatos , Ramachandra Pailoor
Abstract: Automated ultrasound image labeling and quality grading systems and methods are provided. An ultrasound system includes an ultrasound imaging device configured to acquire ultrasound images of a patient. An anatomical structure recognition and labeling module receives the acquired ultrasound images from the ultrasound imaging device, and automatically recognizes anatomical structures in the received ultrasound images. The anatomical structure recognition and labeling module automatically labels the anatomical structures in the images with information that identifies the anatomical structures. The acquired ultrasound images and the labeled anatomical structures are displayed on a display of the ultrasound imaging device.
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10.发明授权公开(公告)号：US12062426B2
公开(公告)日：2024-08-13
申请号：US17200554
申请日：2021-03-12
Applicant: EchoNous, Inc.
Inventor： Nikolaos Pagoulatos , Ramachandra Pailoor , Kevin Goodwin
IPC: G16H30/20 , G16H50/20 , G16H30/40 , G06K9/62 , A61B8/00 , A61B8/08 , G06V10/44 , G06F18/2413 , G06V10/764 , G06V10/82 , G06F3/04842 , G06T7/00 , G06F3/04845
CPC classification number: G16H30/20 , A61B8/46 , A61B8/461 , A61B8/469 , A61B8/5215 , A61B8/5223 , A61B8/565 , G06F3/04842 , G06F18/2414 , G06T7/0012 , G06V10/454 , G06V10/764 , G06V10/82 , G16H30/40 , G16H50/20 , G06F3/04845 , G06T2200/24 , G06T2207/10132 , G06V2201/031
Abstract: Ultrasound image recognition systems and methods, and artificial intelligence training networks for such systems and methods, are provided. An ultrasound data information system includes an ultrasound image recognition training network that is configured to receive ultrasound training images and to develop ultrasound image knowledge based on the received ultrasound training images. An ultrasound imaging device acquires ultrasound images of a patient, and the device includes an ultrasound image recognition module. The ultrasound image recognition module is configured to receive the ultrasound image knowledge, receive the acquired ultrasound images from the ultrasound imaging device, and determine, based on the ultrasound image knowledge, whether the received ultrasound images represent a clinically desirable view of an organ or whether the clinically desirable views indicate normal function or a particular pathology. The received ultrasound images are transmitted to the ultrasound image recognition training network for further training and development of updated ultrasound image knowledge.
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