A forearm assessment and training device has a main support, a plurality of finger motion transmission members, a plurality of finger receivers, and a control module. Each of the finger motion transmission members has a member body with a first end and a second end. The first end of the member body of each of the finger motion transmission members is connected to the main support. Each of the finger receivers is connected to the member body of one of the finger motion transmission members. Each of the finger receivers has a finger aperture. The control module is connected to the main support. The control module includes a control module processor, a control module memory, and a sensor. The sensor is configured to measure a force applied to at least one of the finger motion transmission members.

Provided is a non-invasive system and method of determining pennation angle and/or fascicle length based on image processing. An ultrasound scan image is processed to facilitate distinguishing of muscle fiber and tendon. The processed ultrasound scan image is then analyzed. The pennation angle and/or fascicle length is determined based on the analysis. An example method includes receiving an ultrasound scan image of at least a portion of a skin layer as disposed above one or more additional tissue layers, the image provided by a plurality of pixels. The method continues by introducing noise into the pixels of the image and thresholding the pixels of the image to provide a binary image having a plurality of structural elements of different sizes. The method continues with morphing the structural elements of the binary image to remove small structural elements and connect large structural elements. With this resulting image, the method distinguishes muscle fiber and tendon from remaining elements and determines the pennation angle and/or the fascicle length from the muscle fiber and the tendon. Associated apparatuses and computer program products are also disclosed.

A knotless anchor assembly method and device comprising an anchor and a compression member, wherein the anchor further comprises a pilot tip and anchor body. During procedures to tension the knotless anchor assembly, the anchor is driven into bone or other surface or component, and the tension member is urged into the anchor body recess. The compression member is secured in the anchor body to lock the tension member in place. The knotless anchor assembly gives the surgeon or user the ability to optimize tensioning by having the ability to change tension in the tension member by adjusting the compression member during or after the repair. Further, a system and method for monitoring real-time healing of tissue and other members of the body utilizing one or more surgical devices or components, at least one monitoring component, and a detector. The surgical components aid in the repair of injuries to tissue, tendons, or bone during surgical procedures and remain in the body for some period of time after insertion or implantation. Monitoring components incorporated in, affixed to or independent of the surgical components emit signals to the detectors for tracking of the location and other information related to the surgical components, detailing healing progress and allowing for real-time treatment and care.

In a method for detecting carpal tunnel using an ultrasonic detection device, the palm is placed on a flat surface, and the fingers are naturally stretched out to form a “5” shape; a mark is placed 0.5 cm above the crease of the palm (Distal wrist crease), and the probe unit of an ultrasonic detection device is placed at the short axis position of the wrist joint. By rotating the probe unit, the probe unit, the marker, and the index finger are on the same axis (index finger axis), so that the image of the carpal tunnel section of the palm can be obtained on a display of the ultrasonic detection device. Accordingly, the detection method is accurate and efficient, correctly guides students and doctors to find the position of the carpal tunnel correctly, and avoids the purposeless search for the position of the carpal tunnel by the probe on the palm, and subsequent treatment.

Provided is a non-invasive system and method of determining pennation angle and/or fascicle length based on image processing. An ultrasound scan image is processed to facilitate distinguishing of muscle fiber and tendon. The processed ultrasound scan image is then analyzed. The pennation angle and/or fascicle length is determined based on the analysis. An example method includes receiving an ultrasound scan image of at least a portion of a skin layer as disposed above one or more additional tissue layers, the image provided by a plurality of pixels. The method continues by introducing noise into the pixels of the image and thresholding the pixels of the image to provide a binary image having a plurality of structural elements of different sizes. The method continues with morphing the structural elements of the binary image to remove small structural elements and connect large structural elements. With this resulting image, the method distinguishes muscle fiber and tendon from remaining elements and determines the pennation angle and/or the fascicle length from the muscle fiber and the tendon. Associated apparatuses and computer program products are also disclosed.

An information processing apparatus includes: a preparation device preparing information on a body posture; an acting force meter measuring a first acting force the body applies on a first object; a myoelectric potential meter; and a processor acquiring the information on the posture, acquiring information on the first acting force measured by the acting force meter, acquiring information on the myoelectric potential, setting an initial value for a second acting force the body applies to a second object other than the first object, estimating a muscle activity state corresponding to the posture, the first acting force, and the second acting force, repeating updating the second acting force such that a difference between (i) a muscle activity state determined based on the myoelectric potential and (ii) the estimated activity state decreases, and presenting the second acting force when the difference is less than a predetermined threshold value.

Provided is a non-invasive system and method of determining pennation angle and/or fascicle length based on image processing. An ultrasound scan image is processed to facilitate distinguishing of muscle fiber and tendon. The processed ultrasound scan image is then analyzed. The pennation angle and/or fascicle length is determined based on the analysis. An example method includes receiving an ultrasound scan image of at least a portion of a skin layer as disposed above one or more additional tissue layers, the image provided by a plurality of pixels. The method continues by introducing noise into the pixels of the image and thresholding the pixels of the image to provide a binary image having a plurality of structural elements of different sizes. The method continues with morphing the structural elements of the binary image to remove small structural elements and connect large structural elements. With this resulting image, the method distinguishes muscle fiber and tendon from remaining elements and determines the pennation angle and/or the fascicle length from the muscle fiber and the tendon. Associated apparatuses and computer program products are also disclosed.

Systems and methods for an intuitive display of one or more anatomical objects are provided. One or more 3D medical images of one or more anatomical objects of a patient are received. Correspondences between the one or more 3D medical images and points on a 2D map representing the one or more anatomical objects are determined. The 2D map is updated with patient information extracted from the one or more 3D medical images. The updated 2D map with the determined correspondences is output.

This relates to a device that detects a user's motion and gesture input through the movement of one or more of the user's hand, arm, wrist, and fingers, for example, to provide commands to the device or to other devices. The device can include a plurality of myoelectric sensors configured to detect one or more electrical signals from a body part of a user indicative of one or more movements. A plurality of signals indicative of the detected one or more electrical signals may be generated. The device may also include a wireless communication transmitter configured to communicate with a peripheral device and a processor. The processor may be configured to receive the plurality of signals from the plurality of myoelectric sensors, use the plurality of signals together to determine a gesture, and communicate one or more of: the plurality of signals and the gesture to the peripheral device.

An information processing apparatus includes: a preparation device preparing information on a body posture; an acting force meter measuring a first acting force the body applies on a first object; a myoelectric potential meter; and a processor acquiring the information on the posture, acquiring information on the first acting force measured by the acting force meter, acquiring information on the myoelectric potential, setting an initial value for a second acting force the body applies to a second object other than the first object, estimating a muscle activity state corresponding to the posture, the first acting force, and the second acting force, repeating updating the second acting force such that a difference between (i) a muscle activity state determined based on the myoelectric potential and (ii) the estimated activity state decreases, and presenting the second acting force when the difference is less than a predetermined threshold value.