[go: up one dir, main page]

Oh-Park et al., 2021 - Google Patents

Technology utilization in fall prevention

Oh-Park et al., 2021

Document ID
17632197628290416082
Author
Oh-Park M
Doan T
Dohle C
Vermiglio-Kohn V
Abdou A
Publication year
Publication venue
American journal of physical medicine & rehabilitation

External Links

Snippet

Falls, defined as unplanned descents to the floor with or without injury to an individual, remain to be one of the most challenging health conditions. Fall rate is a key quality metric of acute care hospitals, rehabilitation settings, and long-term care facilities. Fall prevention …
Continue reading at journals.lww.com (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F3/00Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/011Arrangements for interaction with the human body, e.g. for user immersion in virtual reality
    • 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
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F3/00Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/03Arrangements for converting the position or the displacement of a member into a coded form
    • 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
    • A61B5/1116Determining posture transitions
    • A61B5/1117Fall detection
    • 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
    • G06F19/32Medical data management, e.g. systems or protocols for archival or communication of medical images, computerised patient records or computerised general medical references
    • 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
    • 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
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/02Detecting, 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
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/16Devices for psychotechnics; Testing reaction times; Devices for evaluating the psychological state
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/48Other medical applications

Similar Documents

Publication Publication Date Title
Oh-Park et al. Technology utilization in fall prevention
Chaccour et al. From fall detection to fall prevention: A generic classification of fall-related systems
Sun et al. Novel sensing technology in fall risk assessment in older adults: a systematic review
Arntz et al. Technologies in home-based digital rehabilitation: scoping review
Mohan et al. Artificial intelligence and iot in elderly fall prevention: A review
Wagner et al. A review of monitoring technology for use with older adults
Bharucha et al. Intelligent assistive technology applications to dementia care: current capabilities, limitations, and future challenges
Bargiotas et al. Preventing falls: the use of machine learning for the prediction of future falls in individuals without history of fall
US20180177436A1 (en) System and method for remote monitoring for elderly fall prediction, detection, and prevention
Cooper et al. A perspective on intelligent devices and environments in medical rehabilitation
Bat-Erdene et al. Automatic acute stroke symptom detection and emergency medical systems alerting by mobile health technologies: A review
Panhwar et al. Assessment of frailty: a survey of quantitative and clinical methods
Lam et al. Activity tracking and monitoring of patients with Alzheimer’s disease
Stack Falls are unintentional: Studying simulations is a waste of faking time
Kaluža et al. A multi-agent care system to support independent living
Nguyen et al. Falls management framework for supporting an independent lifestyle for older adults: a systematic review
Hanson et al. Emerging technologies to support independent living of older adults at risk
Uniyal et al. Pervasive healthcare-a comprehensive survey of tools and techniques
Vuong et al. mHealth sensors, techniques, and applications for managing wandering behavior of people with dementia: A review
Hussain et al. Elderly assistance using wearable sensors by detecting fall and recognizing fall patterns
Zolfaghari et al. Sensor-based locomotion data mining for supporting the diagnosis of neurodegenerative disorders: A survey
Olson et al. Predicting fall risk through automatic wearable monitoring: A systematic review
Frenken et al. aTUG: technical apparatus for gait and balance analysis within component-based Timed Up & Go using mutual ambient sensors
Ishtiaq et al. Fall detection, wearable sensors & artificial intelligence: A short review
Bohlke et al. Accelerometry applications and methods to assess standing balance in older adults and mobility-limited patient populations: a narrative review