Format
Sort by
Items per page

Send to

Choose Destination

Links from PubMed

Items: 1 to 20 of 133

1.

An online one class support vector machine-based person-specific fall detection system for monitoring an elderly individual in a room environment.

Yu M, Yu Y, Rhuma A, Naqvi SM, Wang L, Chambers JA.

IEEE J Biomed Health Inform. 2013 Nov;17(6):1002-14. doi: 10.1109/JBHI.2013.2274479.

PMID:
24240718
2.

A posture recognition based fall detection system for monitoring an elderly person in a smart home environment.

Yu M, Rhuma A, Naqvi SM, Wang L, Chambers J.

IEEE Trans Inf Technol Biomed. 2012 Nov;16(6):1274-86. doi: 10.1109/TITB.2012.2214786. Epub 2012 Aug 22.

PMID:
22922730
3.

Automatic monocular system for human fall detection based on variations in silhouette area.

Mirmahboub B, Samavi S, Karimi N, Shirani S.

IEEE Trans Biomed Eng. 2013 Feb;60(2):427-36. doi: 10.1109/TBME.2012.2228262. Epub 2012 Nov 20.

PMID:
23192468
4.

Posture recognition based on fuzzy logic for home monitoring of the elderly.

Brulin D, Benezeth Y, Courtial E.

IEEE Trans Inf Technol Biomed. 2012 Sep;16(5):974-82.

PMID:
22997188
5.

Depth-based human fall detection via shape features and improved extreme learning machine.

Ma X, Wang H, Xue B, Zhou M, Ji B, Li Y.

IEEE J Biomed Health Inform. 2014 Nov;18(6):1915-22. doi: 10.1109/JBHI.2014.2304357.

PMID:
25375688
6.

Automated fall detection on privacy-enhanced video.

Edgcomb A, Vahid F.

Conf Proc IEEE Eng Med Biol Soc. 2012;2012:252-5. doi: 10.1109/EMBC.2012.6345917.

PMID:
23365878
7.

HONEY: a multimodality fall detection and telecare system.

Zhang Q, Ren L, Shi W.

Telemed J E Health. 2013 May;19(5):415-29. doi: 10.1089/tmj.2012.0109. Epub 2013 Mar 28.

PMID:
23537382
8.

Triaxial accelerometer-based fall detection method using a self-constructing cascade-AdaBoost-SVM classifier.

Cheng WC, Jhan DM.

IEEE J Biomed Health Inform. 2013 Mar;17(2):411-9. doi: 10.1109/JBHI.2012.2237034.

PMID:
24235113
9.

Detecting falls as novelties in acceleration patterns acquired with smartphones.

Medrano C, Igual R, Plaza I, Castro M.

PLoS One. 2014 Apr 15;9(4):e94811. doi: 10.1371/journal.pone.0094811. eCollection 2014.

10.

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. doi: 10.1016/j.cmpb.2014.09.005. Epub 2014 Oct 2.

PMID:
25308505
11.

Fall detection based on body part tracking using a depth camera.

Bian ZP, Hou J, Chau LP, Magnenat-Thalmann N.

IEEE J Biomed Health Inform. 2015 Mar;19(2):430-9. doi: 10.1109/JBHI.2014.2319372. Epub 2014 Apr 23.

PMID:
24771601
12.

An address-event fall detector for assisted living applications.

Zhengming Fu, Delbruck T, Lichtsteiner P, Culurciello E.

IEEE Trans Biomed Circuits Syst. 2008 Jun;2(2):88-96. doi: 10.1109/TBCAS.2008.924448.

PMID:
23852755
13.

Detecting falls with 3D range camera in ambient assisted living applications: a preliminary study.

Leone A, Diraco G, Siciliano P.

Med Eng Phys. 2011 Jul;33(6):770-81. doi: 10.1016/j.medengphy.2011.02.001. Epub 2011 Mar 5.

PMID:
21382737
14.

Testing of a long-term fall detection system incorporated into a custom vest for the elderly.

Bourke AK, van de Ven PW, Chaya AE, OLaighin GM, Nelson J.

Conf Proc IEEE Eng Med Biol Soc. 2008;2008:2844-7. doi: 10.1109/IEMBS.2008.4649795.

PMID:
19163298
15.

Evaluation of waist-mounted tri-axial accelerometer based fall-detection algorithms during scripted and continuous unscripted activities.

Bourke AK, van de Ven P, Gamble M, O'Connor R, Murphy K, Bogan E, McQuade E, Finucane P, Olaighin G, Nelson J.

J Biomech. 2010 Nov 16;43(15):3051-7. doi: 10.1016/j.jbiomech.2010.07.005.

PMID:
20926081
16.

Classification of a known sequence of motions and postures from accelerometry data using adapted Gaussian mixture models.

Allen FR, Ambikairajah E, Lovell NH, Celler BG.

Physiol Meas. 2006 Oct;27(10):935-51. Epub 2006 Jul 25.

PMID:
16951454
17.

Development of childhood fall motion database and browser based on behavior measurements.

Kakara H, Nishida Y, Yoon SM, Miyazaki Y, Koizumi Y, Mizoguchi H, Yamanaka T.

Accid Anal Prev. 2013 Oct;59:432-42. doi: 10.1016/j.aap.2013.06.015. Epub 2013 Jul 3.

PMID:
23911614
18.

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. Epub 2006 Jan 6.

PMID:
16406739
19.

A framework for daily activity monitoring and fall detection based on surface electromyography and accelerometer signals.

Juan Cheng, Xiang Chen, Minfen Shen.

IEEE J Biomed Health Inform. 2013 Jan;17(1):38-45. doi: 10.1109/TITB.2012.2226905.

PMID:
24234563
20.

Falls prevention for the elderly.

Balzer K, Bremer M, Schramm S, L├╝hmann D, Raspe H.

GMS Health Technol Assess. 2012;8:Doc01. doi: 10.3205/hta000099. Epub 2012 Apr 12.

Supplemental Content

Support Center