Digital characterization of movement to detect and monitor disorders

    公开(公告)号:US11253173B1

    公开(公告)日:2022-02-22

    申请号:US15992938

    申请日:2018-05-30

    发明人: Emre Demiralp

    IPC分类号: A61B5/00 A61B5/11 G16H50/50

    摘要: Introduced here are techniques for digitally characterizing the movement of a subject in order to detect the presence of a disorder or monitor the progression of the disorder. More specifically, one or more angular features can be identified that define how certain part(s) of the human body move relative to other part(s) of the human body. These angular feature(s) can be used, for example, to affirmatively diagnose instances of a disorder, eliminate a disorder as the source of symptoms experienced by a subject, generate confidence scores that can be used to assist in diagnosing a subject, monitor disorder progression due to treatment or lack thereof, etc.

    Digital characterization of movement to detect and monitor disorders

    公开(公告)号:US11998317B1

    公开(公告)日:2024-06-04

    申请号:US17651553

    申请日:2022-02-17

    发明人: Emre Demiralp

    IPC分类号: A61B5/00 A61B5/11 G16H50/50

    摘要: Introduced here are techniques for digitally characterizing the movement of a subject in order to detect the presence of a disorder or monitor the progression of the disorder. More specifically, one or more angular features can be identified that define how certain part(s) of the human body move relative to other part(s) of the human body. These angular feature(s) can be used, for example, to affirmatively diagnose instances of a disorder, eliminate a disorder as the source of symptoms experienced by a subject, generate confidence scores that can be used to assist in diagnosing a subject, monitor disorder progression due to treatment or lack thereof, etc.

    System and methods for integrating feedback from multiple wearable sensors

    公开(公告)号:US10264971B1

    公开(公告)日:2019-04-23

    申请号:US15250634

    申请日:2016-08-29

    摘要: A system including two or more wearable devices includes at least one sensor in each device to detect signals related to the body of a wearer. User inputs, sensor outputs, or other information are used to determine an activity being performed or otherwise engaged in by the wearer and footsteps, heartbeats, discrete turns of the torso, or other events can be detected, from one or more of the sensor outputs, during a period of time that the user is engaged in the activity. A duration, amplitude, timing, mean value, or other characteristic of each such detected event can be determined, based on the sensor outputs, and used to generate a sample of clinically relevant information about the wearer. This information can then be used to determine the presence, stage, degree, progression, or other information about a disease state of the wearer or some other information about the wearer's body.

    Disease and fall risk assessment using depth mapping systems

    公开(公告)号:US10262423B2

    公开(公告)日:2019-04-16

    申请号:US15469130

    申请日:2017-03-24

    摘要: An apparatus, system and process for tracking and analyzing target person movements, captured while the target person is performing ordinary tasks outside of a medical context, for medical diagnosis and treatment review are described. The method may include constructing a model of a target person from three-dimensional (3D) image data of the target person performing an activity over a period of time. The method may also include tracking movement of the model of the target person in the 3D image data over the period of time, and detecting one or more motion features in the movement of the model of the target person that are relevant to diagnosis, treatment, care, or a combination thereof, of a potential chronic neurodegenerative or musculoskeletal medical condition. The method may also include computing a risk score associated with likelihood of the target person having the medical condition based on the detected motion features.

    Decoupling body movement features from sensor location

    公开(公告)号:US10182746B1

    公开(公告)日:2019-01-22

    申请号:US15659183

    申请日:2017-07-25

    摘要: Systems and techniques are disclosed for decoupling a wearable sensor's location on a user from the body movements desired to be measured by the sensor. Sensor data can be dynamically analyzed to determine a reference event (e.g., a static pose), which can be used to generate or update a transformation parameter (e.g., a quaternion or a rotational matrix). The transformation parameter can be applied to sensor data to transform the sensor data from the sensor's frame of reference to a global frame of reference. Once transformed, the movement data in the global frame can be analyzed to identify sensor-location-agnostic biomechanical features (e.g., body movements or movement trends), which can be further analyzed to identify probable or potential diagnoses correlated with the identified biomechanical features.