Nothing Special   »   [go: up one dir, main page]

Chen, 2022 - Google Patents

Biomechanical Process of Skeletal Muscle under Training Condition Based on 3D Visualization Technology

Chen, 2022

View PDF @Full View
Document ID
2458432806978797498
Author
Chen C
Publication year
Publication venue
Journal of Healthcare Engineering

External Links

Snippet

With the development and popularization of 3D technology, human behavior recognition has gradually developed from plane feature recognition to elevation feature recognition. In the process of collecting motion characteristics, the research on skeletal muscle will lead to a …
Continue reading at onlinelibrary.wiley.com (PDF) (other versions)

Classifications

    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/45—For evaluating or diagnosing the musculoskeletal system or teeth
    • A61B5/4528—Joints
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
    • A61B5/1121—Determining geometric values, e.g. centre of rotation or angular range of movement
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/50—Computer-aided design
    • G06F17/5009—Computer-aided design using simulation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30004—Biomedical image processing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
    • G06K9/46—Extraction of features or characteristics of the image

Similar Documents

Publication Publication Date Title
Mündermann et al. The evolution of methods for the capture of human movement leading to markerless motion capture for biomechanical applications
CN104159644B (en) The apparatus and method for analyzing golf
Scheys et al. Level of subject-specific detail in musculoskeletal models affects hip moment arm length calculation during gait in pediatric subjects with increased femoral anteversion
Kenneally-Dabrowski et al. Late swing running mechanics influence hamstring injury susceptibility in elite rugby athletes: a prospective exploratory analysis
Ding et al. Improving musculoskeletal model scaling using an anatomical atlas: the importance of gender and anthropometric similarity to quantify joint reaction forces
Song et al. Musculoskeletal models with generic and subject-specific geometry estimate different joint biomechanics in dysplastic hips
Cardiff Development of the finite volume method for hip joint stress analysis
Trinler et al. Estimated landmark calibration of biomechanical models for inverse kinematics
Aslam et al. Automatic measurement of anthropometric dimensions using frontal and lateral silhouettes
Schleicher et al. BASH: Biomechanical Animated Skinned Human for Visualization of Kinematics and Muscle Activity.
Bakke et al. Shape-model scaled gait models can neglect segment markers without consequential change to inverse kinematics results
Kobsar et al. Validity of a novel method to measure vertical oscillation during running using a depth camera
Xia et al. Predicting free achilles tendon strain from motion capture data using artificial intelligence
Chen Biomechanical Process of Skeletal Muscle under Training Condition Based on 3D Visualization Technology
Montefiori et al. Variations of lower-limb joint kinematics associated with the use of different ankle joint models
Ravera et al. A subject-specific integrative biomechanical framework of the pelvis for gait analysis
Glascoe et al. Relationships between rigs and humanoid and coveroid landmarks
Michalopoulos et al. A personalised monitoring and recommendation framework for kinetic dysfunctions: The trendelenburg gait
Fernandez et al. A Narrative Review of Personalized Musculoskeletal Modeling Using the Physiome and Musculoskeletal Atlas Projects
Barzyk et al. AI‐smartphone markerless motion capturing of hip, knee, and ankle joint kinematics during countermovement jumps
Qiao et al. RETRACTED: Analysis of Biomechanical Parameters of Martial Arts Routine Athletes’ Jumping Difficulty Based on Image Recognition
Zhang et al. Heterogeneous modelling and finite element analysis of the femur
Wang et al. An intelligent data analysis-based medical management method for lower limb health of football athletes
Chen et al. Deep learning real-time detection and correction system for stroke rehabilitation posture
Wang et al. Development of Bone-based Kinematics from Magnetic Resonance Imaging for Immersive Assessment of Knee Joints