Clarke et al., 2021 - Google Patents
Concept-to-implementation of new threshold-based fall detection sensorClarke et al., 2021
- Document ID
- 13526134244829524836
- Author
- Clarke K
- Ariyarathna T
- Kumari S
- Publication year
- Publication venue
- TENCON 2021-2021 IEEE Region 10 Conference (TENCON)
External Links
Snippet
Fall-detection is a growing industry, and one which is increasingly subject to attention from medical professionals and academics. Fall-detection is commonly applicable to aged-care practices, where it is used to detect if a human subject has fallen over as a result of a trip …
- 238000001514 detection method 0 title abstract description 27
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
- A61B5/1121—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
- A61B5/103—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
- 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
-
- 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
- A61B5/0205—Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
-
- 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
- G06F19/3418—Telemedicine, e.g. remote diagnosis, remote control of instruments or remote monitoring of patient carried devices
-
- 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
- A61B5/74—Details of notification to user or communication with user or patient ; user input means
- A61B5/7405—Details of notification to user or communication with user or patient ; user input means using sound
-
- 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
- A41—WEARING APPAREL
- A41D—OUTERWEAR; PROTECTIVE GARMENTS; ACCESSORIES
- A41D13/00—Professional, industrial, or sporting protective garments, e.g. garments affording protection against blows or punches, surgeon's gowns
- A41D13/05—Professional, industrial, or sporting protective garments, e.g. garments affording protection against blows or punches, surgeon's gowns protecting only a particular body part
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Wu et al. | Portable preimpact fall detector with inertial sensors | |
| Chen et al. | Wearable sensors for reliable fall detection | |
| Bianchi et al. | Barometric pressure and triaxial accelerometry-based falls event detection | |
| Doughty et al. | The design of a practical and reliable fall detector for community and institutional telecare | |
| Bourke et al. | Evaluation of a threshold-based tri-axial accelerometer fall detection algorithm | |
| Baek et al. | Real life applicable fall detection system based on wireless body area network | |
| US9392826B2 (en) | Fall detection and hip impact protector | |
| Clarke et al. | Concept-to-implementation of new threshold-based fall detection sensor | |
| Boissy et al. | User-based motion sensing and fuzzy logic for automated fall detection in older adults | |
| Diaz et al. | Preliminary evaluation of a full-time falling monitor for the elderly | |
| Desai et al. | A novel machine learning based wearable belt for fall detection | |
| US20140330173A1 (en) | Apparatus for identifying falls and activities of daily living | |
| Liu et al. | Local dynamic stability assessment of motion impaired elderly using electronic textile pants | |
| Liu et al. | Local dynamic stability associated with load carrying | |
| Srinivasan et al. | Towards automatic detection of falls using wireless sensors | |
| Bourke et al. | Fall-detection through vertical velocity thresholding using a tri-axial accelerometer characterized using an optical motion-capture system | |
| Dabir et al. | GPS and IOT equipped smart walking stick | |
| Ariani et al. | Software simulation of unobtrusive falls detection at night-time using passive infrared and pressure mat sensors | |
| Lai et al. | Adaptive body posture analysis using collaborative multi-sensors for elderly falling detection | |
| Rajendran et al. | Falls, fall prevention, and fall detection technologies | |
| King et al. | Elderly risk assessment of falls with BSN | |
| Van Wieringen et al. | Real-time signal processing of accelerometer data for wearable medical patient monitoring devices | |
| Bourke et al. | The design and development of a long-term fall detection system incorporated into a custom vest for the elderly. | |
| Stone et al. | Automated health alerts from kinect-based in-home gait measurements | |
| Najmurrokhman et al. | Development of falling notification system for elderly using mpu6050 sensor and short message service |