Patent classifications
A61B5/45
PERSONALIZED AVATAR RESPONSIVE TO USER PHYSICAL STATE AND CONTEXT
Systems and methods are disclosed that facilitate providing guidance to a user during performance of a program or routine using a personalized avatar. In an aspect, a system includes a reception component configured to receive biochemical information about a physiological state or condition of a user, including information identifying a presence or a status of one or more biomarkers. The system further includes an analysis component configured to determine or infer one or more characteristics of the physiological state or condition of the user based on the information identifying the presence or the status of the one or more biomarkers, and a visualization component configured to adapt an appearance of an avatar presented to the user based on the one or more characteristics to reflect the one or more characteristics.
DENTAL IMAGER AND METHOD FOR RECORDING PHOTOGRAPHIC IMPRESSIONS
A dental imager includes an elongated handle with a rotatable head coupled to a distal end thereof and having a central platform with a plurality of arcuate scanning arms pivotally coupled thereto by a hinge. The arcuate scanning arms are of a shape and size for general deployment around a tooth and each include at least one scanner and a roller guide that comfortably rolls along the surface of the tooth or gums to bias the scanners a desired distance from the surface of the tooth, conducive for imaging thereof. In this respect, such a dental imager may be used in a process to scan and record the contours of an intraoral surface, the data of which may be used to create a digital three-dimensional surface impression printable by a 3D printer or the like.
Patient-specific spinal fusion cage and methods of making same
A method of determining disc space geometry with the use of an expandable trial having endplate-mapping capabilities. An expandable trial is inserted into the disc space and its height is adjusted to obtain the desired decompression and spinal alignment (which is typically confirmed with the use of CT or Fluoroscopic imaging). The endplate dome/geometry dome is then determined by one of the following three methods: a) direct imaging through the trial, b) balloon moldings filled with flowable in-situ fluid (for example, silicon, polyurethane, or PMMA) from superior/inferior endplates or c) light-based imaging through superior & inferior balloons.
DIGITAL SCAN BODY ALIGNMENT METHOD AND DEVICE USING THE SAME
The present invention relates to a digital scan body alignment method and a device using the same. The present invention corrects scan data through library data corresponding to image data on oral structure. At that time, to achieve best-fit of aligning the library data to the scan data initially, the data alignment can be performed by using a first alignment step. In order to accomplish data correction by more accurate data alignment, a second alignment step can be performed using the library data which includes shape information and axis information. By performing the second alignment step, corrected data having higher reliability can be formed, and a more precise prosthesis can be provided to a patient.
SYSTEMS AND METHODS FOR GENERATING A HOLISTIC PROGRAM FOR MANAGING MUSCULOSKELETAL SYSTEM DISORDERS
A system for generating a comestible plan to manage musculoskeletal system disorders is disclosed. The system comprises a computing device configured to receive an input comprising physiological data. Computing device may generate a physiological data classifier, Computing device may classify, using the physiological data classifier, the physiological data to a class of physiological data relating to musculoskeletal disorders. Computing device may extract a plurality of biological determinants of a disease state from the physiological data, wherein the plurality of biological determinants includes at least one biological determinant related to at least one disorder located in musculoskeletal system. Computing device may determine a biological determinant concentration. Computing device may identify a musculoskeletal system disorder based on the at least one biological determinant and the biological determinant concentration. Computing device may generate a holistic program as a function of a positive result for the musculoskeletal system disorder.
PRE-OPERATIVE, INTRA-OPERATIVE, AND POST-OPERATIVE PATIENT MANAGEMENT
An end to end process is disclosed that includes an installation of a prosthetic component, a prosthetic joint, or repair a musculoskeletal system. The pathway of care comprises a pre-operative pathway of care, an intra-operative pathway of care, and a post-operative pathway of care. An application downloaded to a computer drives the process. The application can include integrated PROMS, pain scores, patient Q&A, surveys, a calendar of events (such as physical therapy visits), and contact to surgeon, doctor, or healthcare provider. The pathway of care is an end to end process utilizing wearable devices, implantable devices, sensorized equipment, and sensorized tools to generate measurement data that supports a pre-operative plan, surgery, and post-operative rehabilitation. The application couples to the devices disclosed herein above to engage the patient one or more tasks such that sensors on the devices generate measurement data. The process provides better patient care while allowing the surgeon, doctor, or healthcare provider to handle more patients.
Swallowing action measurement device and swallowing action support system
A swallowing action measurement device includes a holder, a sound detector and a posture detector. The holder is fitted to a neck region of a person being measured from behind. The sound detector is held in the holder in contact with the outer side surface of the neck region close to the epiglottis, and detects sound associated with at least a swallowing action of the person being measured and outputs a measured sound signal. The posture detector detects a posture of the person being measured.
Methods and apparatus for machine learning to analyze musculo-skeletal rehabilitation from images
A method can include receiving (1) images of at least one subject and (2) at least one total mass value for the at least one subject. The method can further include executing a first machine learning model to identify joints of the at least one subject. The method can further include executing a second machine learning model to determine limbs of the at least one subject based on the joints and the images. The method can further include generating three-dimensional (3D) representations of a skeleton based on the joints and the limbs. The method can further include determining a torque value for each limb, based on at least one of a mass value and a linear acceleration value, or a torque inertia and an angular acceleration value. The method can further include generating a risk assessment report based on at least one torque value being above a predetermined threshold.
Body Mechanic app
A method and system providing assessment and treatment of musculoskeletal impairments for computers and smart phones is disclosed. A plurality of images and videos for grouping clinical patterns are utilized for which a user matches their symptoms. Once the user determines which grouped symptoms matches their own, they push a button and are directed to identification of a musculoskeletal condition. The user is then lead to treatment in the form of home exercises, rehabilitation tools, proper body mechanic training and postural adjustments. The assessments and treatments are cited with peer reviewed journals.
Computed tomography reconstruction of moving bodies
A method for reconstructing at least a first and a second independently moving body from one 3D tomography scan includes performing a movement of the first body relative to the second body, obtaining the movement, obtaining a 3D tomography scan of the first body and the second body during the movement, and reconstructing a first 3D model of the first body and a second 3D model of the second body by applying the recorded movement to the 3D tomography scan. This has the effect that reconstruction of several 3D tomography scanned bodies is possible during motion of the scanned bodies.