公开(公告)号：US20240389887A1

公开(公告)日：2024-11-28

申请号：US18672415

申请日：2024-05-23

Applicant: BioSensics LLC

Inventor： Adonay Nunes Sastre ,  Ilkay Yildiz Potter ,  Ram Kinker Mishra ,  Ashkan Vaziri

IPC: A61B5/11 ,  A61B5/00

Abstract: Systems and methods for monitoring limb function. An example method includes obtaining sensor data from individual devices worn on individual limbs of a user, the devices generating sensor data indicative of, at least, acceleration information associated with the limbs. The obtained sensor data is adjusted for input into a machine learning model, with the machine learning model being a deep learning model. A forward pass is computed through the machine learning model, with the machine learning model being trained to output information indicative of goal-directed movements (GDMs) performed by the user. Information indicative of GDMs is obtained via the machine learning model, with the information reflects particular labels identifying particular GDMs.

公开(公告)号：US20240212138A1

公开(公告)日：2024-06-27

申请号：US18391383

申请日：2023-12-20

Applicant: BioSensics LLC

Inventor： Ilkay Yildiz Potter ,  Ashkan Vaziri

IPC: G06T7/00 ,  G16H30/20

CPC classification number: G06T7/0012 ,  G16H30/20 ,  G06T2200/24 ,  G06T2207/10016 ,  G06T2207/10132 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30048 ,  G06T2210/12

Abstract: Systems and methods for automated and rapid detection of free fluid. An example method includes obtaining medical images associated with a patient, the medical images being ultrasound images depicting different portions of the patient, and the ultrasound images forming video of the different portions; providing the medical images to a machine learning model, wherein a forward pass through the machine learning model is computed, and wherein the machine learning model is trained to output for each input medical image, a bounding box about free fluid depicted in the input medical image and a confidence score associated with detection of the free fluid in the bounding box; and determining that the patient has free fluid based on analyzing output from the machine learning model.

公开(公告)号：US09901290B2

公开(公告)日：2018-02-27

申请号：US14659446

申请日：2015-03-16

Applicant: BIOSENSICS LLC

Inventor： Bijan Najafi ,  Ashkan Vaziri ,  Ali-Reza Boloori

IPC: A61B5/103 ,  A61B5/117 ,  A61B5/11 ,  A61B5/00 ,  G08B21/04

CPC classification number: A61B5/1117 ,  A61B5/0004 ,  A61B5/0022 ,  A61B5/11 ,  A61B5/1116 ,  A61B5/1118 ,  A61B5/112 ,  A61B5/1123 ,  A61B5/6823 ,  A61B5/6831 ,  A61B5/7203 ,  A61B5/7225 ,  A61B5/7264 ,  A61B5/7275 ,  A61B5/7282 ,  A61B5/746 ,  A61B2503/08 ,  A61B2505/07 ,  A61B2505/09 ,  A61B2562/0219 ,  G06F19/00 ,  G08B21/043 ,  G08B21/0446

Abstract: The present invention relates to a light-weight, small and portable ambulatory sensor for measuring and monitoring a person's physical activity. Based on these measurements and computations, the invented system quantifies the subject's physical activity, quantifies the subject's gait, determines his or her risk of falling, and automatically detects falls. The invention combines the features of portability, high autonomy, and real-time computational capacity. High autonomy is achieved by using only accelerometers, which have low power consumption rates as compared with gyroscope-based systems. Accelerometer measurements, however, contain significant amounts of noise, which must be removed before further analysis. The invention therefore uses novel time-frequency filters to denoise the measurements, and in conjunction with biomechanical models of human movement, perform the requisite computations, which may also be done in real time.

公开(公告)号：US20160100776A1

公开(公告)日：2016-04-14

申请号：US14659446

申请日：2015-03-16

Applicant: BIOSENSICS LLC

Inventor： Bijan Najafi ,  Ashkan Vaziri ,  Ali-Reza Boloori

IPC: A61B5/11 ,  A61B5/00

CPC classification number: A61B5/1117 ,  A61B5/0004 ,  A61B5/0022 ,  A61B5/11 ,  A61B5/1116 ,  A61B5/1118 ,  A61B5/112 ,  A61B5/1123 ,  A61B5/6823 ,  A61B5/6831 ,  A61B5/7203 ,  A61B5/7225 ,  A61B5/7264 ,  A61B5/7275 ,  A61B5/7282 ,  A61B5/746 ,  A61B2503/08 ,  A61B2505/07 ,  A61B2505/09 ,  A61B2562/0219 ,  G06F19/00 ,  G08B21/043 ,  G08B21/0446

Abstract: The present invention relates to a light-weight, small and portable ambulatory sensor for measuring and monitoring a person's physical activity. Based on these measurements and computations, the invented system quantifies the subject's physical activity, quantifies the subject's gait, determines his or her risk of falling, and automatically detects falls. The invention combines the features of portability, high autonomy, and real-time computational capacity. High autonomy is achieved by using only accelerometers, which have low power consumption rates as compared with gyroscope-based systems. Accelerometer measurements, however, contain significant amounts of noise, which must be removed before further analysis. The invention therefore uses novel time-frequency filters to denoise the measurements, and in conjunction with biomechanical models of human movement, perform the requisite computations, which may also be done in real time.

Abstract translation: 本发明涉及一种用于测量和监测人的身体活动的轻便小型和便携式移动式传感器。 基于这些测量和计算，本发明的系统量化对象的身体活动，量化受检者的步态，确定他或她的跌倒风险，并自动检测跌倒。 本发明结合了便携性，高自主性和实时计算能力的特点。 通过仅使用与基于陀螺仪的系统相比具有低功耗率的加速度计实现高自主性。 然而，加速度计测量值包含大量噪声，必须在进一步分析之前将其消除。 因此，本发明使用新颖的时间频率滤波器对测量进行去噪，并结合人类运动的生物力学模型，执行必要的计算，这也可以实时完成。