[go: up one dir, main page]

Young et al., 2022 - Google Patents

Examination of a foot mounted IMU-based methodology for a running gait assessment

Young et al., 2022

View HTML
Document ID
11679768215657557019
Author
Young F
Mason R
Wall C
Morris R
Stuart S
Godfrey A
Publication year
Publication venue
Frontiers in Sports and Active Living

External Links

Snippet

Gait assessment is essential to understand injury prevention mechanisms during running, where high-impact forces can lead to a range of injuries in the lower extremities. Information regarding the running style to increase efficiency and/or selection of the correct running …
Continue reading at www.frontiersin.org (HTML) (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/30Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
    • G06F19/34Computer-assisted medical diagnosis or treatment, e.g. computerised prescription or delivery of medication or diets, computerised local control of medical devices, medical expert systems or telemedicine
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/103Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
    • A61B5/1121Determining geometric values, e.g. centre of rotation or angular range of movement
    • A61B5/1122Determining geometric values, e.g. centre of rotation or angular range of movement of movement trajectories
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/68Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
    • A61B5/6801Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
    • A61B5/6813Specially adapted to be attached to a specific body part
    • A61B5/6829Foot or ankle
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/68Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
    • A61B5/6801Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
    • A61B5/6802Sensor mounted on worn items
    • A61B5/681Wristwatch-type devices
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/103Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/1036Measuring load distribution, e.g. podologic studies
    • A61B5/1038Measuring plantar pressure during gait
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/45For evaluating or diagnosing the musculoskeletal system or teeth
    • A61B5/4528Joints
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis

Similar Documents

Publication Publication Date Title
Young et al. Examination of a foot mounted IMU-based methodology for a running gait assessment
Norris et al. Method analysis of accelerometers and gyroscopes in running gait: A systematic review
Sheerin et al. The one-week and six-month reliability and variability of three-dimensional tibial acceleration in runners
Mentiplay et al. Three-dimensional assessment of squats and drop jumps using the Microsoft Xbox One Kinect: Reliability and validity
DeJong et al. Validation of foot-strike assessment using wearable sensors during running
Millour et al. A literature overview of modern biomechanical-based technologies for bike-fitting professionals and coaches
Fokkenrood et al. Physical activity monitoring in patients with peripheral arterial disease: validation of an activity monitor
Callaghan et al. The relationship between inertial measurement unit-derived ‘force signatures’ and ground reaction forces during cricket pace bowling
Baroudi et al. Estimating walking speed in the wild
Young et al. Just find it: The Mymo approach to recommend running shoes
Kim et al. Assessing physical abilities of sarcopenia patients using gait analysis and smart insole for development of digital biomarker
Donahue et al. Estimation of gait events and kinetic waveforms with wearable sensors and machine learning when running in an unconstrained environment
Garcia-Pinillos et al. Influence of RunScribe™ placement on the accuracy of spatiotemporal gait characteristics during running
Pohl et al. Classification of functional and non-functional arm use by inertial measurement units in individuals with upper limb impairment after stroke
Mason et al. Wearables for running gait analysis: A study protocol
Kozinc et al. The reliability of wearable commercial sensors for outdoor assessment of running biomechanics: the effect of surface and running speed
Mason et al. Validity and reliability of the DANU sports system for walking and running gait assessment
Worsey et al. Automatic classification of running surfaces using an ankle-worn inertial sensor
Kenneally-Dabrowski et al. Are accelerometers a valid tool for measuring overground sprinting symmetry?
Muzaffar et al. Self-synchronized, continuous body weight monitoring using flexible force sensors and ground reaction force signal processing
Patoz et al. Comparison of different machine learning models to enhance sacral acceleration-based estimations of running stride temporal variables and peak vertical ground reaction force
Baker et al. Predicting overstriding with wearable IMUs during treadmill and overground running
Zignoli et al. Indoor running temporal variability for different running speeds, treadmill inclinations, and three different estimation strategies
Kamnardsiri et al. Computer vision-based instantaneous speed tracking system for measuring the subtask speed in the 100-meter sprinter: Development and concurrent validity study
Patoz et al. Examination of running pattern consistency across speeds