Methods of lowering heart rate during physical activity for a user in need of an increase in their smallest concentric airway cross-sectional area include providing the person with a mandibular repositioning device having a maxillary tooth covering having a driver flange protruding laterally outward on a right and left side proximate a backmost teeth mold and a mandibular tooth covering having a protrusive flange extending cranially therefrom positioned to have a posterior side engaged with the anterior side of each driver flange. The anterior side of each driver flange has a convex curvature, and the posterior side of each protrusive flange has a concave-to-convex curvature from its base toward its most cranial point and a convex portion of the concave-to convex curvature engages the convex curvature of the driver flange in a rest position, and downward movement of the mandibular piece moves the user's mandible forward as well.

Some embodiments provide systems, assemblies, and methods of analyzing patient anatomy including providing an analysis of a patient's spine. The systems, assemblies, and/or methods can include obtaining initial patient data, and acquiring spinal alignment contour information. Further, the systems, assemblies, and/or methods can assess localized anatomical features of the patient, and obtain anatomical region data. The system, assemblies, and/or method can analyze the localized anatomy and therapeutic device location and contouring. Further, the system, assemblies, and/or method can output localized anatomical analyses and therapeutic device contouring data and/or imagery on a display.

A novel multiple camera calibration algorithm uses human joint points for matched key points. A recent machine-learning based human joint detector provides joint positions with labels (e.g. left wrist, right knee, and others). In single person situation, it directly provides matched key points between multiple cameras. Thus, the algorithm does not suffer a key-point matching problem, even in a very sparse camera configuration, which is challenging in the traditional image feature-based method. This algorithm provides easy setup for a multiple camera configuration for marker-less pose estimation.

A guide apparatus in the form of two flexible strips marked with scales, arranged perpendicular and slidable with respect to each other is used for anatomical mapping and marking of buttocks, especially for the purpose of defining sites suitable for lateral injection of filler into the buttocks for the purpose of lifting the buttocks as a cosmetic objective.

In an embodiment a wrist-worn electronic device includes a main body, a wrist strap connected to the main body, wherein the wrist strap is configured to place the main body on a wrist of a target user, a wrist size determining part configured to measure, by using the wrist strap of the wrist-worn electronic device, a use circumference of the wrist-worn electronic device that matches a wrist size of the target user, and determine the wrist size of the target user based on the use circumference of the wrist-worn electronic device, and a blood pressure determining part configured to detect a pulse wave signal of the target user, measure a measured blood pressure of the target user based on the pulse wave signal, and correct the measured blood pressure of the target user based on the wrist size of the target user thereby obtaining a first corrected blood pressure of the target user.

A method for determining an ROI in medical imaging may include receiving first position information related to a body contour of a subject with respect to a support from a flexible device configured with a plurality of position sensors. The flexible device may be configured to conform to the body contour of the subject, and the support may be configured to support the subject. The method may also include generating a 3D model of the subject based on the first position information. The method may further include determining an ROI of the subject based on the 3D model of the subject.

A height estimation apparatus (10) according to the present disclosure includes an acquisition unit (11) for acquiring a two-dimensional image obtained by capturing an animal, a detection unit (12) for detecting a two-dimensional skeletal structure of the animal based on the two-dimensional image acquired by the acquisition unit (11), and an estimation unit (13) for estimating a height of the animal in a three-dimensional real world based on the two-dimensional skeletal structure detected by the detection unit (12) and an imaging parameter of the two-dimensional image acquired by the acquisition unit (11).

In a foot size measurement system, a measurement unit selectively measures one or more of multiple measurement elements to be measured as feature values defining one foot size, based on a one-foot image of a measured person. An information generator generates foot size information based on one or more measurement elements selectively measured by the measurement unit, among the multiple measurement elements. An output unit outputs the foot size information. The measurement unit selectively measures one or more of multiple measurement elements including a foot width and a foot length of one foot of a measured person.

This multifunctional morphological measuring apparatus comprising a housing (104) having a slot, and a graduated flexible tape measure (6) inserted into said slot and having a first end held in the housing (104) and a second end (105) disposed at the exterior of the housing (104), the housing (104) enclosing means for winding the tape (6) in said housing (104) and an electronic control system (7) comprising an electronic card (15) having a computer and electronic memory components, the apparatus (100) further comprising means for measuring (12) a morphological index characteristic of a part of the human body (U0) around which the tape is at least partially wound (6).

Image-guided navigation for spinal cord treatments and therapies are described. The image-guided navigation is augmented with anatomical measurement data related to spinal cord and vertebral anatomy. From these data and medical image data, an augmented model of spinal cord anatomy is generated and/or navigation data can be generated for localizing spinal cord structures, such as by mapping the anatomical measurement data to the medical image data. The augmented model data and/or navigation data can be used for surgical navigation, stimulation parameter setting, electrode configuration selection, pre-surgical planning, surgical visualization, and so on.