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公开(公告)号：US09827478B1
公开(公告)日：2017-11-28
申请号：US14616522
申请日：2015-02-06
Inventor： Bijan Najafi , James Stanley Wrobel , Ali-Reza Boloori
CPC classification number: A63B69/3608 , A63B71/0619 , A63B2071/0647 , A63B2220/40 , A63B2220/836 , A63B2230/62 , G06F19/3481 , G09B19/0038
Abstract: The present disclosure is directed to a body-worn sensor-based system for evaluating the biomechanics and the motor adaptation characteristics of postural control during a sport activity such as a golf swing. Various embodiments use sensors such as accelerometers, gyroscopes, and magnetometers to measure the three-dimensional motion of ankle and hip joints. In several embodiments, additional sensors attached to other body segments are used to improve the accuracy of the data or detect particular instants during the swing (e.g., top of back swing, instant of the maximum speed of arm, and instant of ball impact). In a golf embodiment, the system combines the measured data in conjunction with a biomechanical model of the human body to: (1) estimate the two-dimensional sway of the golfer's center of mass; (2) quantify and evaluate the golfer's balance via his/her postural compensatory strategy; and (3) provide visual feedback to the golfer for improving dynamic postural control.
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Patent Agency Ranking
公开(公告)号：US09311789B1
公开(公告)日：2016-04-12
申请号：US14248956
申请日：2014-04-09
Applicant: BIOSENSICS LLC
Inventor： Joseph T. Gwin
CPC classification number: G08C19/00 , A61B5/002 , A61B5/11 , A61B5/486 , A61B5/681 , A61B5/74 , A61B2505/09
Abstract: A sensorimotor rehabilitation system can analyze body movement kinematics of a person, and in particular analyze the use of limbs (e.g., upper limbs) to provide feedback for sensorimotor rehabilitation. Parameters of body movement (e.g., quantity and type of body movement) can be assessed based on data recorded from an inertial sensor affixed or connected to, for example, an upper limb of a person or outer clothing such as a sleeve. Automated feedback can be provided to the user to improve sensorimotor rehabilitation.
Abstract translation: 感觉运动康复系统可以分析人的身体运动运动学，并且特别地分析肢体（例如上肢）的使用以提供用于感觉运动康复的反馈。 身体运动的参数（例如身体运动的数量和类型）可以基于从固定或连接到例如人的上肢或诸如袖子的外衣的上肢的惯性传感器记录的数据来评估。 可以向用户提供自动反馈以改善感觉运动康复。
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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
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.
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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
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.
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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
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.
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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
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。
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