Zobrazeno 1 - 10
of 893
pro vyhledávání: '"Fall risk assessment"'
Publikováno v:
Kaohsiung Journal of Medical Sciences, Vol 40, Iss 4, Pp 404-412 (2024)
Abstract This retrospective study was conducted at a medical center in southern Taiwan to assess the accuracy of the Hendrich II Fall Risk Model (HIIFRM) in predicting falls. Sensitivity, specificity, accuracy, and optimal cutoff points were analyzed
Externí odkaz:
https://doaj.org/article/1e4821d922db460a84ba6ff20aac2b62
Publikováno v:
IEEE Open Journal of Engineering in Medicine and Biology, Vol 5, Pp 735-749 (2024)
Current methods for fall risk assessment rely on Quantitative Gait Analysis (QGA) using costly optical tracking systems, which are often only available at specialized laboratories that may not be easily accessible to rural communities. Radar placed i
Externí odkaz:
https://doaj.org/article/c5bcc7a22a5746c894e7068b18ef02f8
Autor:
WANG Zhen (王珍), BAI Xue (白雪)
Publikováno v:
中西医结合护理, Vol 9, Iss 8, Pp 114-118 (2023)
Objective To investigate the effect of hierarchical nursing based on fall risk assessment for prevention of falls in elderly patients with Parkinson's disease (PD). Methods Totally 200 PD patients were randomly divided into the control group and obse
Externí odkaz:
https://doaj.org/article/d771594f3e564f5094728a2fc32f4233
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 31, Pp 4907-4920 (2023)
In cross-subject fall risk classification based on plantar pressure, a challenge is that data from different subjects have significant individual information. Thus, the models with insufficient generalization ability can’t perform well on new subje
Externí odkaz:
https://doaj.org/article/91677c59a41a431fbdf58a9abbfe67b1
Autor:
Ke-Jing Li, Nicky Lok-Yi Wong, Man-Ching Law, Freddy Man-Hin Lam, Hoi-Ching Wong, Tsz-On Chan, Kit-Naam Wong, Yong-Ping Zheng, Qi-Yao Huang, Arnold Yu-Lok Wong, Timothy Chi-Yui Kwok, Christina Zong-Hao Ma
Publikováno v:
Biosensors, Vol 13, Iss 12, p 998 (2023)
Falls are a prevalent cause of injury among older people. While some wearable inertial measurement unit (IMU) sensor-based systems have been widely investigated for fall risk assessment, their reliability, validity, and identification ability in comm
Externí odkaz:
https://doaj.org/article/cbf6711d4b344d04b80e6879576ed915
Akademický článek
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Akademický článek
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Autor:
Nasir Wabe, Joyce Siette, Karla L. Seaman, Amy D. Nguyen, Magdalena Z. Raban, Jacqueline C. T. Close, Stephen R. Lord, Johanna I. Westbrook
Publikováno v:
BMC Geriatrics, Vol 22, Iss 1, Pp 1-11 (2022)
Abstract Background The Peninsula Health Falls Risk Assessment Tool (PH-FRAT) is a validated and widely applied tool in residential aged care facilities (RACFs) in Australia. However, research regarding its use and predictive performance is limited.
Externí odkaz:
https://doaj.org/article/491cd40c419a4156b3b0986d202f08c4
Publikováno v:
Sensors, Vol 23, Iss 18, p 7686 (2023)
Fall risk increases with age, and one-third of adults over 65 years old experience a fall annually. Due to the aging population, the number of falls and related medical costs will progressively increase. Correct prediction of who will fall in the fut
Externí odkaz:
https://doaj.org/article/e5d4f3f9746045edbc7f4551037420f2
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 30, Pp 1060-1070 (2022)
The high fall rate of the elderly brings enormous challenges to families and the medical system; therefore, early risk assessment and intervention are quite necessary. Compared to other sensor-based technologies, in-shoe plantar pressure sensors, eff
Externí odkaz:
https://doaj.org/article/b744cf9db69c4283b37a71dad47f880b