Bianchi et al., 2009 - Google Patents

Falls event detection using triaxial accelerometry and barometric pressure measurement

Bianchi et al., 2009

Document ID
321132127491551693
Author
Bianchi F
Redmond S
Narayanan M
Cerutti S
Celler B
Lovell N
Publication year
Publication venue
2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society

External Links

Snippet

A falls detection system, employing a Bluetooth-based wearable device, containing a triaxial accelerometer and a barometric pressure sensor, is described. The aim of this study is to evaluate the use of barometric pressure measurement, as a surrogate measure of altitude, to …
Continue reading at ieeexplore.ieee.org (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
    • A61B5/1116—Determining posture transitions
    • A61B5/1117—Fall detection
    • 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
    • A61B5/1112—Global tracking of patients, e.g. by using GPS
    • 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
    • A61B5/1123—Discriminating type of movement, e.g. walking or running
    • 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
    • A61B5/1122—Determining geometric values, e.g. centre of rotation or angular range of movement of movement trajectories
    • 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
    • A61B5/6802—Sensor mounted on worn items
    • 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
    • A61B5/1118—Determining activity level
    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00—Alarms responsive to a single specified undesired or abnormal operating condition and not elsewhere provided for
    • G08B21/02—Alarms for ensuring the safety of persons
    • G08B21/04—Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons
    • G08B21/0407—Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons based on behaviour analysis
    • G08B21/043—Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons based on behaviour analysis detecting an emergency event, e.g. a fall
    • 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
Bianchi et al. Falls event detection using triaxial accelerometry and barometric pressure measurement
Perry et al. Survey and evaluation of real-time fall detection approaches
Luo et al. A dynamic motion pattern analysis approach to fall detection
US9402568B2 (en) Method and system for detecting a fall based on comparing data to criteria derived from multiple fall data sets
Lee et al. Inertial sensing-based pre-impact detection of falls involving near-fall scenarios
EP2504825B1 (en) Method for estimating velocities and/or displacements from accelerometer measurement samples
US7248172B2 (en) System and method for human body fall detection
CN205041401U (en) Equipment is worn detection device and is had and wears guardianship device that detects function
Ojetola et al. Fall detection with wearable sensors--safe (Smart Fall Detection)
US9638711B2 (en) Method and system for discerning a false positive in a fall detection signal
US20170372582A1 (en) Device for monitoring and preventing slump and processing method thereof
Bourke et al. Fall detection algorithms for real-world falls harvested from lumbar sensors in the elderly population: A machine learning approach
Anania et al. Development of a novel algorithm for human fall detection using wearable sensors
US20140142460A1 (en) Method for detecting potential falls and a fall detector
CN105051799A (en) Method for detecting falls and a fall detector.
Chen et al. A wireless real-time fall detecting system based on barometer and accelerometer
Islam et al. Automatic fall detection system of unsupervised elderly people using smartphone
Zhong et al. A real-time pre-impact fall detection and protection system
Bourkeφ et al. An optimum accelerometer configuration and simple algorithm for accurately detecting falls
Wang et al. Selecting power-efficient signal features for a low-power fall detector
Kostopoulos et al. Increased Fall Detection Accuracy in an Accelerometer-based Algorithm Considering Residual Movement.
Razum et al. Optimal threshold selection for threshold-based fall detection algorithms with multiple features
CN110313917A (en) It is the tumble sensor-based system and its method for judging benchmark with activities of daily life
CN107146378A (en) A kind of human body tumble decision method and device
Jantaraprim et al. Improving the accuracy of a fall detection algorithm using free fall characteristics