[go: up one dir, main page]

Millor et al., 2013 - Google Patents

Drift-free position estimation for periodic movements using inertial units

Millor et al., 2013

View PDF
Document ID
5130637056186314968
Author
Millor N
Lecumberri P
Gómez M
Martínez-Ramírez A
Izquierdo M
Publication year
Publication venue
IEEE Journal of Biomedical and Health Informatics

External Links

Snippet

Latest advances in microelectromechanical systems have made inertial units (IUs) a powerful tool for human motion analysis. However, difficulties in handling their output signals must be overcome. The purpose of this study was to develop the novel “PB …
Continue reading at www.academia.edu (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
    • A61B5/103—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
    • 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
    • A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
    • A61B5/6801—Arrangements 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
    • A61B5/6813—Specially adapted to be attached to a specific body part
    • 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
    • A61B5/1116—Determining posture transitions
    • 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
    • A61B5/04—Detecting, measuring or recording bioelectric signals of the body of parts thereof
    • A61B5/0402—Electrocardiography, i.e. ECG
    • 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
    • A61B5/04—Detecting, measuring or recording bioelectric signals of the body of parts thereof
    • A61B5/0488—Electromyography
    • 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
    • A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
    • 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
    • A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
    • 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
    • A61B2562/02—Details of sensors specially adapted for in-vivo measurements
    • A61B2562/0219—Inertial sensors, e.g. accelerometers, gyroscopes, tilt switches

Similar Documents

Publication Publication Date Title
Millor et al. An evaluation of the 30-s chair stand test in older adults: frailty detection based on kinematic parameters from a single inertial unit
Thewlis et al. Next-generation low-cost motion capture systems can provide comparable spatial accuracy to high-end systems
Chiari et al. Human movement analysis using stereophotogrammetry: Part 2: Instrumental errors
Bonnet et al. Monitoring of hip and knee joint angles using a single inertial measurement unit during lower limb rehabilitation
Millor et al. Drift-free position estimation for periodic movements using inertial units
Zulkarnain et al. Digital data acquisition of shoulder range of motion and arm motion smoothness using Kinect v2
Humadi et al. Instrumented ergonomic risk assessment using wearable inertial measurement units: Impact of joint angle convention
Wagenaar et al. Continuous monitoring of functional activities using wearable, wireless gyroscope and accelerometer technology
Millecamps et al. Understanding the effects of pre-processing on extracted signal features from gait accelerometry signals
Gil-Agudo et al. A novel motion tracking system for evaluation of functional rehabilitation of the upper limbs
Zou et al. A multimodal fusion model for estimating human hand force: Comparing surface electromyography and ultrasound signals
Beange et al. Evaluation of wearable IMU performance for orientation estimation and motion tracking
Soangra et al. A comparative study for performance evaluation of sit-to-stand task with body worn sensor and existing laboratory methods
El-Gohary et al. Joint angle tracking with inertial sensors
Giansanti et al. Physiological motion monitoring: a wearable device and adaptative algorithm for sit-to-stand timing detection
Van Meulen et al. Assessment of lower arm movements using one inertial sensor
Ganea et al. Kinematics and dynamic complexity of postural transitions in frail elderly subjects
Al-Jawad et al. The use of an orientation Kalman filter for the static postural sway analysis
Mamikoglu et al. Elbow joint angle estimation by using integrated surface electromyography
WO2017192028A1 (en) Tremor motion quantifying method and system
JP6297951B2 (en) Motion estimation device
Keating Relating forearm muscle electrical activity to finger forces
Kirking Angle measurement stability and cycle counting accuracy of hours-long duration IMU based arm motion tracking with application to normal shoulder ADLs
Shirinbayan et al. An MR-compatible gyroscope-based arm movement tracking system
Bai et al. A multi-parameter assessment tool for upper limb motion in neurorehabilitation