Evaluation of Accelerometer-Based Fall Detection Algorithms on Real-World Falls
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Jeffrey M. Hausdorff | F. Bagalà | C. Becker | A. Cappello | L. Chiari | K. Aminian | W. Zijlstra | J. Klenk
[1] O. Wilder‐Smith,et al. How dangerous are falls in old people at home? , 1981, British medical journal.
[2] M. Green,et al. Covert muscle injury in aged patients admitted to hospital following falls. , 1985, Age and ageing.
[3] B. Vellas,et al. Prospective study of restriction of activity in old people after falls. , 1987, Age and ageing.
[4] S. Cummings,et al. Risk factors for recurrent nonsyncopal falls. A prospective study. , 1989, JAMA.
[5] M. Tinetti,et al. Predictors and prognosis of inability to get up after falls among elderly persons. , 1993, JAMA.
[6] R. Roush,et al. Impact of a Personal Emergency Response System on Hospital Utilization by Community- Residing Elders , 1995, Southern medical journal.
[7] M. Tinetti,et al. Falls in Community‐Dwelling Older Persons , 1995, Journal of the American Geriatrics Society.
[8] Roush Re,et al. Impact of a personal emergency response system on hospital utilization by community-residing elders. , 1995 .
[9] R. J. Gurley,et al. Persons found in their homes helpless or dead. , 1996, The New England journal of medicine.
[10] G. Williams,et al. A smart fall and activity monitor for telecare applications , 1998, Proceedings of the 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Vol.20 Biomedical Engineering Towards the Year 2000 and Beyond (Cat. No.98CH36286).
[11] Y Ben-Shlomo,et al. Prevalence of progressive supranuclear palsy and multiple system atrophy: a cross-sectional study , 1999, The Lancet.
[12] H. Menz,et al. Falls in Older People: Risk Factors and Strategies for Prevention , 2000 .
[13] A McIntosh,et al. The design of a practical and reliable fall detector for community and institutional telecare , 2000, Journal of telemedicine and telecare.
[14] G. Wu,et al. Distinguishing fall activities from normal activities by velocity characteristics. , 2000, Journal of biomechanics.
[15] A. Rajput,et al. Progressive Supranuclear Palsy , 2001, Drugs & aging.
[16] Jeffrey M. Hausdorff,et al. Gait variability and fall risk in community-living older adults: a 1-year prospective study. , 2001, Archives of physical medicine and rehabilitation.
[17] I. McKeith,et al. SIC Task Force appraisal of clinical diagnostic criteria for parkinsonian disorders , 2003, Movement disorders : official journal of the Movement Disorder Society.
[18] Heinz Jäckel,et al. SPEEDY:a fall detector in a wrist watch , 2003, Seventh IEEE International Symposium on Wearable Computers, 2003. Proceedings..
[19] Patrick Boissy,et al. A smart sensor based on rules and its evaluation in daily routines , 2003, Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE Cat. No.03CH37439).
[20] H.C. Kim,et al. Development of novel algorithm and real-time monitoring ambulatory system using Bluetooth module for fall detection in the elderly , 2004, The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[21] Stephen J. McKenna,et al. Activity summarisation and fall detection in a supportive home environment , 2004, ICPR 2004.
[22] Neil Johnson,et al. A smart sensor to detect the falls of the elderly , 2004, IEEE Pervasive Computing.
[23] G M Lyons,et al. Long-term mobility monitoring of older adults using accelerometers in a clinical environment , 2004, Clinical rehabilitation.
[24] M. Prado,et al. Preliminary evaluation of a full-time falling monitor for the elderly , 2004, The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[25] E. Porter. Wearing and using personal emergency respone system buttons. , 2005, Journal of gerontological nursing.
[26] Yoshifumi Nishida,et al. Ultrasonic Sensors for the Elderly and Caregivers in a Nursing Home , 2005, ICEIS.
[27] R. Bajcsy,et al. Wearable Sensors for Reliable Fall Detection , 2005, 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference.
[28] Zhihai He,et al. Recognizing Falls from Silhouettes , 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.
[29] M N Nyan,et al. Distinguishing fall activities from normal activities by angular rate characteristics and high-speed camera characterization. , 2006, Medical engineering & physics.
[30] C. Becker,et al. Systematic review of definitions and methods of measuring falls in randomised controlled fall prevention trials. , 2006, Age and ageing.
[31] Nigel H. Lovell,et al. Implementation of a real-time human movement classifier using a triaxial accelerometer for ambulatory monitoring , 2006, IEEE Transactions on Information Technology in Biomedicine.
[32] C. Becker,et al. Evaluation of a fall detector based on accelerometers: A pilot study , 2005, Medical and Biological Engineering and Computing.
[33] M. Alwan,et al. A Smart and Passive Floor-Vibration Based Fall Detector for Elderly , 2006, 2006 2nd International Conference on Information & Communication Technologies.
[34] Philippe Fraisse,et al. Automatic Fall Detection and Activity Monitoring for Elderly , 2007 .
[35] Youngbum Lee,et al. Implementation of Accelerometer Sensor Module and Fall Detection Monitoring System based on Wireless Sensor Network , 2007, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[36] A. Bourke,et al. Fall detection - Principles and Methods , 2007, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[37] Chia-Wen Lin,et al. Automatic Fall Incident Detection in Compressed Video for Intelligent Homecare , 2007, 2007 16th International Conference on Computer Communications and Networks.
[38] A K Bourke,et al. Evaluation of a threshold-based tri-axial accelerometer fall detection algorithm. , 2007, Gait & posture.
[39] G. ÓLaighin,et al. A proposal for the classification and evaluation of fall detectors Une proposition pour la classification et l'évaluation des détecteurs de chutes , 2008 .
[40] John Nelson,et al. Testing of a long-term fall detection system incorporated into a custom vest for the elderly , 2008, 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[41] Israel Gannot,et al. Fall detection of elderly through floor vibrations and sound , 2008, 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[42] Mohan Karunanithi,et al. Simulated fall detection via accelerometers , 2008, 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[43] Bin Huang,et al. A method for fast fall detection , 2008, 2008 7th World Congress on Intelligent Control and Automation.
[44] M N Nyan,et al. A wearable system for pre-impact fall detection. , 2008, Journal of biomechanics.
[45] Maarit Kangas,et al. Comparison of low-complexity fall detection algorithms for body attached accelerometers. , 2008, Gait & posture.
[46] Toshiyo Tamura,et al. A Wearable Airbag to Prevent Fall Injuries , 2009, IEEE Transactions on Information Technology in Biomedicine.
[47] Israel Gannot,et al. A Method for Automatic Fall Detection of Elderly People Using Floor Vibrations and Sound—Proof of Concept on Human Mimicking Doll Falls , 2009, IEEE Transactions on Biomedical Engineering.
[48] Gang Zhou,et al. Accurate, Fast Fall Detection Using Gyroscopes and Accelerometer-Derived Posture Information , 2009, 2009 Sixth International Workshop on Wearable and Implantable Body Sensor Networks.
[49] Frank Sposaro,et al. iFall: An android application for fall monitoring and response , 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[50] HoonJae Lee,et al. Multiple object tracking for fall detection in real-time surveillance system , 2009, 2009 11th International Conference on Advanced Communication Technology.
[51] Opinder Sahota,et al. REFINE (Reducing Falls in In-patient Elderly) - a randomised controlled trial , 2009, Trials.
[52] Luca Benini,et al. Accelerometer-based fall detection using optimized ZigBee data streaming , 2010, Microelectron. J..
[53] C. Becker,et al. Clinical and dual‐tasking aspects in frequent and infrequent fallers with progressive supranuclear palsy , 2010, Movement disorders : official journal of the Movement Disorder Society.
[54] Dong Xuan,et al. PerFallD: A pervasive fall detection system using mobile phones , 2010, 2010 8th IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops).
[55] A. Mirelman,et al. Improvement of balance after audio-biofeedback , 2010, Zeitschrift für Gerontologie und Geriatrie.
[56] A K Bourke,et al. Evaluation of waist-mounted tri-axial accelerometer based fall-detection algorithms during scripted and continuous unscripted activities. , 2010, Journal of biomechanics.
[57] Raymond Y. W. Lee,et al. Detection of falls using accelerometers and mobile phone technology. , 2011, Age and ageing.
[58] Jeffrey M. Hausdorff,et al. Comparison of acceleration signals of simulated and real-world backward falls. , 2011, Medical engineering & physics.
[59] Clemens Becker,et al. Epidemiology of falls in residential aged care: analysis of more than 70,000 falls from residents of bavarian nursing homes. , 2012, Journal of the American Medical Directors Association.
[60] L Nyberg,et al. Comparison of real-life accidental falls in older people with experimental falls in middle-aged test subjects. , 2012, Gait & posture.