Prediction of Elderly Falls Using the Degree of Cyclostationarity of Walk Pressure Signals

Author(s):  
Reem Brome ◽  
Jad Nasreddine ◽  
Frederic Bonnardot ◽  
Mohamad O. Diab ◽  
Mohamed El Badaoui
Keyword(s):  
Author(s):  
Reza Sadeghi ◽  
Firooz Bakhtiari-Nejad ◽  
Taha Goudarzi

Femur bone is the longest and largest bone in the human skeleton. This bone connects the pelvic bone to the knee and carries most of the body weight. The static behavior of femur bone has been a center of investigation for many years while little attention has been given to its dynamic and vibrational behavior, which is of great importance in sports activities, car crashes and elderly falls. Investigation of natural frequencies and mode shapes of bone structures are important to understand the dynamic and vibrating behaviors. Vibrational analysis of femoral bones is presented using finite element method. In the analysis, the bone was modeled with isotropic and orthotropic mechanical properties. The effect of surrounding bone muscles has also been accounted for as a viscoelastic medium embedding the femur bone. Natural frequencies extracted considering the effects of age aggravated by weakening the elastic modulus and density loss. The effects of real complex bone geometry on natural frequencies are studied and are compared with a simple circular cross-sectional model.


Author(s):  
Paul C.-P. Chao ◽  
Li-Chi Hsu ◽  
Yu-Feng Li ◽  
Chin-Wei Chun

A novel wireless circuit module is designed in this study to perform ubiquitous fall detections and then real-time fall detections of help messages. It is a common trend that as the demand for living quality increases tremendously while the technologies of electronics and medicine advances greatly, personal cares are elevated to the next level. As for the aging society, the issue of injuries due to falls among senior population arises rapidly [1,2]. Costly prices are often paid as the elderly falls without notice from companions at the site. Therefore, various modules and/or systems of automatic and wireless fall detection are developed into a past pace. Such fall-detection modules are demanded to be able to automatically detect falls of subjects and then send the help message to a remote hospital for an immediate help.


Injury ◽  
2018 ◽  
Vol 49 (9) ◽  
pp. 1712-1719 ◽  
Author(s):  
Shelley Cox ◽  
Renee Roggenkamp ◽  
Stephen Bernard ◽  
Karen Smith

2009 ◽  
Vol 407 (24) ◽  
pp. 6157-6165 ◽  
Author(s):  
Lai Poh-Chin ◽  
Wong Martin ◽  
Chan Ming-Houng ◽  
Wong Wing-Cheung ◽  
Low Chien-Tat

2022 ◽  
Vol 2022 ◽  
pp. 1-11
Author(s):  
Dimitrios Lytras ◽  
Evaggelos Sykaras ◽  
Paris Iakovidis ◽  
Konstantinos Kasimis ◽  
Ioannis Myrogiannis ◽  
...  

Background. Elderly falls constitute a global problem with huge social and economic aspects. Fall risk factors are both intrinsic (physical and psychological) and extrinsic (related with environmental safety). Aim. To record both intrinsic and extrinsic risk factors and their correlation in elderly fallers in order to suggest specific guidelines for their medical care and environmental modification inside and outside the home. Method. The study involved 150 elderly fallers (median age 70 (67-74)), who completed a record containing information on known risk factors related to their health status, as well as information on the conditions and causes that led to the fall. Each fall was considered an independent event, while measurements were performed regarding balance, strength, their functional ability, and the fear of a possible fall. Descriptive analysis and frequency analysis were used to record the health and activity status of the participants as well as the fall-related environmental factors. Severity of each fall event across a variety of locations was examined using the Kruskal-Wallis one-way analysis of variance. Multiple linear regression was applied to examine the effect of the mean values of functional tests and medical records on the number of fall events. Results. In the span of 12 months, a total of 304 fall events were recorded. Regarding location, 77.6% occurred indoors; more frequent were the bedroom (28.6%) and the bathroom (28%). The interior stairs (10.5%), the kitchen (4.9%), and the living room (3.3%) were the less frequent locations. Concerning danger, falling on the interior stairs caused the longest hospitalization, followed by the kitchen and the bathroom. Extrinsic factors that led to both indoor and outdoor falls were the administration of psychotropic medication, poor space ergonomics, lack of basic safety standards, and poor lighting conditions. Vision problems and dizziness resulted in more falls than other intrinsic factors. Furthermore, reduced performance in the FICSIT-4 test and the 30-Second Chair Stand Test, as well as high scores in the CONFbal–GREEK questionnaire and the Short FES-I, shows a linear relationship with an increased number of falls. Conclusions. Ergonomic interventions can help prevent indoor elderly falls. Poor construction and lack of adequate lighting mainly cause outdoor falls. Regular eye examinations, management of vertigo, improvement of the balance and strength of the lower limbs, and reduction of fear of impending falls are the intrinsic factors that help prevent falls the most.


Measurement ◽  
2021 ◽  
Vol 167 ◽  
pp. 108276
Author(s):  
Siraj Qays Mahdi ◽  
Sadik Kamel Gharghan ◽  
Muhideen Abbas Hasan

2021 ◽  
Vol 1 (5) ◽  
pp. 2-13
Author(s):  
Mariene Diniz da Silva ◽  
Silvana Nunes Figueiredo ◽  
Maria Leila Fabar dos Santos ◽  
Iraneide Ferreira Mafra ◽  
Leslie Bezerra Monteiro ◽  
...  
Keyword(s):  

2020 ◽  
Author(s):  
Cristina Lavareda Baixinho ◽  
Maria dos Anjos Dixe
Keyword(s):  

2016 ◽  
Vol 10 (3) ◽  
pp. 125
Author(s):  
Pei-Hao Chen
Keyword(s):  

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