167 related articles for article (PubMed ID: 23202213)
1. Exploration and implementation of a pre-impact fall recognition method based on an inertial body sensor network.
Zhao G; Mei Z; Liang D; Ivanov K; Guo Y; Wang Y; Wang L
Sensors (Basel); 2012 Nov; 12(11):15338-55. PubMed ID: 23202213
[TBL] [Abstract][Full Text] [Related]
2. Exploration and comparison of the pre-impact lead time of active and passive falls based on inertial sensors.
Liang D; Ivanov K; Li H; Ning Y; Zhang Q; Wang L; Zhao G
Biomed Mater Eng; 2014; 24(1):279-88. PubMed ID: 24211908
[TBL] [Abstract][Full Text] [Related]
3. Distinguishing fall activities from normal activities by angular rate characteristics and high-speed camera characterization.
Nyan MN; Tay FE; Tan AW; Seah KH
Med Eng Phys; 2006 Oct; 28(8):842-9. PubMed ID: 16406739
[TBL] [Abstract][Full Text] [Related]
4. A wearable system for pre-impact fall detection.
Nyan MN; Tay FE; Murugasu E
J Biomech; 2008 Dec; 41(16):3475-81. PubMed ID: 18996529
[TBL] [Abstract][Full Text] [Related]
5. Threshold-based fall detection using a hybrid of tri-axial accelerometer and gyroscope.
Wang FT; Chan HL; Hsu MH; Lin CK; Chao PK; Chang YJ
Physiol Meas; 2018 Oct; 39(10):105002. PubMed ID: 30207983
[TBL] [Abstract][Full Text] [Related]
6. Pre-impact Alarm System for Fall Detection Using MEMS Sensors and HMM-based SVM Classifier.
Liang S; Chu T; Lin D; Ning Y; Li H; Zhao G
Annu Int Conf IEEE Eng Med Biol Soc; 2018 Jul; 2018():4401-4405. PubMed ID: 30441328
[TBL] [Abstract][Full Text] [Related]
7. A threshold-based fall-detection algorithm using a bi-axial gyroscope sensor.
Bourke AK; Lyons GM
Med Eng Phys; 2008 Jan; 30(1):84-90. PubMed ID: 17222579
[TBL] [Abstract][Full Text] [Related]
8. Determination of simple thresholds for accelerometry-based parameters for fall detection.
Kangas M; Konttila A; Winblad I; Jämsä T
Annu Int Conf IEEE Eng Med Biol Soc; 2007; 2007():1367-70. PubMed ID: 18002218
[TBL] [Abstract][Full Text] [Related]
9. Development and evaluation of a prior-to-impact fall event detection algorithm.
Liu J; Lockhart TE
IEEE Trans Biomed Eng; 2014 Jul; 61(7):2135-40. PubMed ID: 24718566
[TBL] [Abstract][Full Text] [Related]
10. Application of motion analysis system in pre-impact fall detection.
Nyan MN; Tay FE; Mah MZ
J Biomech; 2008 Jul; 41(10):2297-304. PubMed ID: 18589428
[TBL] [Abstract][Full Text] [Related]
11. Comparison of real-life accidental falls in older people with experimental falls in middle-aged test subjects.
Kangas M; Vikman I; Nyberg L; Korpelainen R; Lindblom J; Jämsä T
Gait Posture; 2012 Mar; 35(3):500-5. PubMed ID: 22169389
[TBL] [Abstract][Full Text] [Related]
12. Inertial sensing-based pre-impact detection of falls involving near-fall scenarios.
Lee JK; Robinovitch SN; Park EJ
IEEE Trans Neural Syst Rehabil Eng; 2015 Mar; 23(2):258-66. PubMed ID: 25252283
[TBL] [Abstract][Full Text] [Related]
13. Portable preimpact fall detector with inertial sensors.
Wu G; Xue S
IEEE Trans Neural Syst Rehabil Eng; 2008 Apr; 16(2):178-83. PubMed ID: 18403286
[TBL] [Abstract][Full Text] [Related]
14. Fall detection algorithms for real-world falls harvested from lumbar sensors in the elderly population: a machine learning approach.
Bourke AK; Klenk J; Schwickert L; Aminian K; Ihlen EA; Mellone S; Helbostad JL; Chiari L; Becker C
Annu Int Conf IEEE Eng Med Biol Soc; 2016 Aug; 2016():3712-3715. PubMed ID: 28269098
[TBL] [Abstract][Full Text] [Related]
15. Highly Portable, Sensor-Based System for Human Fall Monitoring.
Mao A; Ma X; He Y; Luo J
Sensors (Basel); 2017 Sep; 17(9):. PubMed ID: 28902149
[TBL] [Abstract][Full Text] [Related]
16. Automatic individual calibration in fall detection--an integrative ambulatory measurement framework.
Liu J; Lockhart TE
Comput Methods Biomech Biomed Engin; 2013; 16(5):504-10. PubMed ID: 22149355
[TBL] [Abstract][Full Text] [Related]
17. Reading from the Black Box: What Sensors Tell Us about Resting and Recovery after Real-World Falls.
Schwickert L; Klenk J; Zijlstra W; Forst-Gill M; Sczuka K; Helbostad JL; Chiari L; Aminian K; Todd C; Becker C
Gerontology; 2018; 64(1):90-95. PubMed ID: 28848150
[TBL] [Abstract][Full Text] [Related]
18. Temporal and kinematic variables for real-world falls harvested from lumbar sensors in the elderly population.
Bourke AK; Klenk J; Schwickert L; Aminian K; Ihlen EA; Helbostad JL; Chiari L; Becker C
Annu Int Conf IEEE Eng Med Biol Soc; 2015; 2015():5183-6. PubMed ID: 26737459
[TBL] [Abstract][Full Text] [Related]
19. Human fall detection on embedded platform using depth maps and wireless accelerometer.
Kwolek B; Kepski M
Comput Methods Programs Biomed; 2014 Dec; 117(3):489-501. PubMed ID: 25308505
[TBL] [Abstract][Full Text] [Related]
20. Evaluation of a fall detector based on accelerometers: a pilot study.
Lindemann U; Hock A; Stuber M; Keck W; Becker C
Med Biol Eng Comput; 2005 Sep; 43(5):548-51. PubMed ID: 16411625
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
