Abstract: A system and method for using performance signatures can include generating a set of performance features during an activity of the first participant by collecting kinematic data from at least one inertial measurement unit and generating a set of biomechanical signals; combining the set of performance features into the performance signature; generating at least a second performance signature from a set of participants; comparing the performance signature of the first participant to at least the second performance signature; and applying a result of the comparison to an interaction with at least one participant.

Abstract: Systems and methods and media for managing biomechanical achievements are provided. An exosuit or any other suitable sensor assembly worn by a user can be utilized by a system to monitor several movement factors that may characterize the user's movement and any changes in the user's movement with a high degree of specificity that may enable various system algorithms and/or models to predict or otherwise determine one or more biomechanical achievements of the user, such as recovery from a particular type of event (e.g., surgery or therapy procedure) and/or distance traveled (e.g., without using any global positioning system capabilities). In addition, an exosuit can provide useful feedback in response to such determinations.

Abstract: Systems and methods and media for managing biomechanical achievements are provided. An exosuit or any other suitable sensor assembly worn by a user can be utilized by a system to monitor several movement factors that may characterize the user's movement and any changes in the user's movement with a high degree of specificity that may enable various system algorithms and/or models to predict or otherwise determine one or more biomechanical achievements of the user, such as recovery from a particular type of event (e.g., surgery or therapy procedure) and/or distance traveled (e.g., without using any global positioning system capabilities). In addition, an exosuit can provide useful feedback in response to such determinations.

Abstract: Exosuit systems and methods according to various embodiments are described herein. The exosuit can be used to monitor users for injury, perform injury prevention, and monitor works for productivity.

Abstract: A system and method for collecting a set of kinematic data streams from an activity tracking system with at least one activity monitoring system that is attached to a user; segmenting at least a subset of the kinematic data streams into a set of segments according to actions of the user; generating a set of biomechanical signals from the kinematic data streams wherein a biomechanical signal characterize a biomechanical property during a segment and includes generating a first integration data set through data integration and baseline error correction across the set of segments of the normalized kinematic data stream and determining at least a first biomechanical signal that is at least partially based on the first integration data set; and applying the set of biomechanical signals.

Abstract: Provided is an accelerated method for preparing platelet rich plasma (PrP) without centrifugation or filtration. The method comprises contacting a sample of whole blood with an anti-coagulant and an inducer of Rouleaux formation; allowing the mixture to stand thereby depleting the sample of RBCs, and collecting the platelet-rich plasma fraction. The PrP volume obtained by the present method is about 10-60% of the volume of the starting whole blood sample, and contains less than 200,000 RBCs and at least 100,000 platelets per microliter.

Abstract: A system and method are described herein for a sensor device which biomechanically detects in real-time a user's movement state and posture and then provides real-time feedback to the user based on the user's real-time posture. The feedback is provided through immediate sensory feedback through the sensor device (e.g., a sound or vibration) as well as through an avatar within an associated application with which the sensor device communicates. The sensor device detects the user's movement state and posture by capturing data from a tri-axial accelerometer in the sensor device. Streamed data from the accelerometer is normalized to correct for sensor errors as well as variations in sensor placement and orientation. Normalization is based on accelerometer data collected while the user is wearing the device and performing specific actions.

Abstract: A system and method are described herein for a sensor device which biomechanically detects in real-time a user's movement state and posture and then provides real-time feedback to the user based on the user's real-time posture. The feedback is provided through immediate sensory feedback through the sensor device (e.g., a sound or vibration) as well as through an avatar within an associated application with which the sensor device communicates.

Abstract: A guidewire system may include a guidewire having a relatively stiff proximal section and a relatively flexible distal section joined by a transition region, and a TAVI device slidably disposed on the guidewire. The guidewire may include an expandable element disposed about the transition region. The expandable element may be configured to expand from a collapsed configuration to an expanded configuration. The guidewire may include an expandable element disposed at the distal end. The distal section may be pre-configured to form more than one distal loop. A method of protecting an apex of a left ventricle during a TAVI procedure may include inserting a guidewire into the left ventricle, positioning a transition region adjacent the apex, expanding an expandable element such that the expandable element spans the apex, advancing a TAVI device distally over the guidewire to an aortic valve, and performing a TAVI procedure at the aortic valve.

Abstract: Methods for the development and integration of multiple apparatuses and methods for achieving administration of stem cell therapies include precision manufacturing of tissue scaffolds and/or bioreactor substrates. The nano/microscale fiber material extrusion typifying the electrospinning process is married with the fiber alignment and layering characteristic of an additive manufacturing process. The method generates porous fibrous 3-D meshes with precision controlled structures from biopolymer melts and solutions and gels, blends, and suspensions with and without cells. A method of tracking the migration histories and shapes of stem cells on scaffold surfaces relies on immunofluorescent imaging and automated algorithms based on machine learning.

Abstract: A system and method for automatic location detection for wearable sensors can include collecting kinematic data from at least one kinematic activity sensor coupled to a user; generating a set of base kinematic metrics; assessing a set of sensor state discriminators and identifying a kinematic monitoring mode; and activating the kinematic monitoring mode at a kinematic activity sensor.

Abstract: A system and method are described herein for a sensor device which biomechanically detects in real-time a user's movement state and posture and then provides real-time feedback to the user based on the user's real-time posture. The feedback is provided through immediate sensory feedback through the sensor device (e.g., a sound or vibration) as well as through an avatar within an associated application with which the sensor device communicates. The sensor device detects the user's movement state and posture by capturing data from a tri-axial accelerometer in the sensor device. Streamed data from the accelerometer is normalized to correct for sensor errors as well as variations in sensor placement and orientation. Normalization is based on accelerometer data collected while the user is wearing the device and performing specific actions.

Abstract: A file system and method of file access are disclosed. In a particular embodiment, a method is performed at a host device coupled to a data storage device, where the host device includes a memory storing a file data structure. The host device receives a request to open a file and, in response to the request, retrieves location data of the file from the file data structure. The host device reads data of the file from the data storage device based on the location data and extracts metadata from the data of the file.

Abstract: A system and method are described herein for a sensor device which biomechanically detects in real-time a user's movement state and posture and then provides real-time feedback to the user based on the user's real-time posture. The feedback is provided through immediate sensory feedback through the sensor device (e.g., a sound or vibration) as well as through an avatar within an associated application with which the sensor device communicates.

Abstract: A system and method for remote monitoring for elderly fall prediction, detection, and prevention that includes collecting sensor data at a biomechanical sensing device coupled to a user; performing biomechanical analysis on the sensor data and thereby generating mobility metrics of the user, wherein performing biomechanical analysis including quantifying a set of gait dynamics as a component of the mobility metrics and generating a user activity graph as a component of the mobility metrics; processing the mobility metrics in a risk assessment model and thereby generating a fall risk assessment; and detecting a trigger condition and triggering a response to the fall risk assessment.

Abstract: A system and method that includes collecting kinematic data at an activity monitoring system coupled to a user; selecting a training activity of the user, the training activity selected from a plurality of training activity options; and processing the kinematic data in a processing mode of the selected training activity and thereby generating a set of training metrics that comprises at least one training metric.

Abstract: A system and method for activity monitoring eyewear and head apparel can include collecting kinematic data from an activity monitoring system that is coupled to a user head region; generating a set of activity signals that comprises at least one head orientation signal that is at least partially generated from the kinematic data head orientation signal from the kinematic data; monitoring the set of activity signals for a response condition; and triggering an action response upon detection of the response condition.

Abstract: A system and method are described herein for a sensor device which biomechanically detects in real-time a user's movement state and posture and then provides real-time feedback to the user based on the user's real-time posture. The feedback is provided through immediate sensory feedback through the sensor device (e.g., a sound or vibration) as well as through an avatar within an associated application with which the sensor device communicates. The sensor device detects the user's movement state and posture by capturing data from a tri-axial accelerometer in the sensor device. Streamed data from the accelerometer is normalized to correct for sensor errors as well as variations in sensor placement and orientation. Normalization is based on accelerometer data collected while the user is wearing the device and performing specific actions.

Abstract: A system and method are described herein for a sensor device which biomechanically detects in real-time a user's movement state and posture and then provides real-time feedback to the user based on the user's real-time posture. The feedback is provided through immediate sensory feedback through the sensor device (e.g., a sound or vibration) as well as through an avatar within an associated application with which the sensor device communicates.

Abstract: A system and method for ergonomic monitoring in an industrial environment that includes tracking task properties of tasks performed by a worker; for a set of tasks, tracking kinematic activity of a worker during each task instance, which includes collecting kinematic data, processing the kinematic data and generating at least one biomechanical measurement of a task associated kinematic activity; and generating an ergonomic model that associates task properties and kinematic activity.