Teufl et al., 2018 - Google Patents
Towards inertial sensor based mobile gait analysis: Event-detection and spatio-temporal parametersTeufl et al., 2018
View HTML- Document ID
- 5825090383364167049
- Author
- Teufl W
- Lorenz M
- Miezal M
- Taetz B
- Fröhlich M
- Bleser G
- Publication year
- Publication venue
- Sensors
External Links
Snippet
The aim of this study was to assess the validity and test-retest reliability of an inertial measurement unit (IMU) system for gait analysis. Twenty-four healthy subjects conducted a 6-min walking test and were instrumented with seven IMUs and retroreflective markers. A …
- 230000005021 gait 0 title abstract description 81
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
- A61B5/103—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
- 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
- G06F19/34—Computer-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
-
- 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
- G06F19/32—Medical data management, e.g. systems or protocols for archival or communication of medical images, computerised patient records or computerised general medical references
-
- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/22—Health care, e.g. hospitals; Social work
-
- 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
- A61B5/48—Other medical applications
-
- 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
- A61B5/0002—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
-
- 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
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B2562/00—Details of sensors; Constructional details of sensor housings or probes; Accessories for sensors
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Teufl et al. | Towards inertial sensor based mobile gait analysis: Event-detection and spatio-temporal parameters | |
Teufl et al. | Validity, test-retest reliability and long-term stability of magnetometer free inertial sensor based 3D joint kinematics | |
Albert et al. | Evaluation of the pose tracking performance of the azure kinect and kinect v2 for gait analysis in comparison with a gold standard: A pilot study | |
Weygers et al. | Inertial sensor-based lower limb joint kinematics: A methodological systematic review | |
Vargas-Valencia et al. | An IMU-to-body alignment method applied to human gait analysis | |
Niswander et al. | Optimization of IMU sensor placement for the measurement of lower limb joint kinematics | |
Agostini et al. | A wearable magneto-inertial system for gait analysis (H-Gait): Validation on normal weight and overweight/obese young healthy adults | |
Hsu et al. | Multiple-wearable-sensor-based gait classification and analysis in patients with neurological disorders | |
Takeda et al. | Drift removal for improving the accuracy of gait parameters using wearable sensor systems | |
Tadano et al. | Three dimensional gait analysis using wearable acceleration and gyro sensors based on quaternion calculations | |
Carcreff et al. | What is the best configuration of wearable sensors to measure spatiotemporal gait parameters in children with cerebral palsy? | |
Patterson et al. | An ambulatory method of identifying anterior cruciate ligament reconstructed gait patterns | |
Gomez-Vargas et al. | The actuation system of the ankle exoskeleton t-flex: First use experimental validation in people with stroke | |
Qiu et al. | Towards wearable-inertial-sensor-based gait posture evaluation for subjects with unbalanced gaits | |
Rosso et al. | Influence of BMI on gait characteristics of young adults: 3D evaluation using inertial sensors | |
Ziagkas et al. | A novel tool for gait analysis: Validation study of the smart insole podosmart® | |
Park et al. | Validity evaluation of an inertial measurement unit (IMU) in gait analysis using statistical parametric mapping (SPM) | |
Marín et al. | Gait analysis in a box: a system based on magnetometer-free IMUs or clusters of optical markers with automatic event detection | |
Kim et al. | Using inertial sensors to quantify postural sway and gait performance during the tandem walking test | |
Kayaalp et al. | Validation of a novel device for the knee monitoring of orthopaedic patients | |
Kim et al. | Measurement of ankle joint movements using IMUs during running | |
Niswander et al. | Evaluating the impact of imu sensor location and walking task on accuracy of gait event detection algorithms | |
Di Raimondo et al. | Inertial sensor-to-segment calibration for accurate 3d joint angle calculation for use in OpenSim | |
Tang et al. | Comparison of lower extremity joint moment and power estimated by markerless and marker-based systems during treadmill running | |
Tak et al. | Validity of a new 3-D motion analysis tool for the assessment of knee, hip and spine joint angles during the single leg squat |