scholarly journals Multiscale Entropy Analysis of Postural Stability for Estimating Fall Risk via Domain Knowledge of Timed-Up-And-Go Accelerometer Data for Elderly People Living in a Community

Entropy ◽  
2019 ◽  
Vol 21 (11) ◽  
pp. 1076 ◽  
Author(s):  
Wu ◽  
Lee ◽  
Jiang ◽  
Sun

As people in developed countries live longer, assessing the fall risk becomes more important. A major contributor to the risk of elderly people falling is postural instability. This study aimed to use the multiscale entropy (MSE) analysis to evaluate postural stability during a timed-up-and-go (TUG) test. This test was deemed a promising method for evaluating fall risk among the elderly in a community. The MSE analysis of postural instability can identify the elderly prone to falling, whereupon early medical rehabilitation can prevent falls. Herein, an objective approach is developed for assessing the postural stability of 85 community-dwelling elderly people (aged 76.12 ± 6.99 years) using the short-form Berg balance scale. Signals were collected from the TUG test using a triaxial accelerometer. A segment-based TUG (sTUG) test was designed, which can be obtained according to domain knowledge, including “Sit-to-Walk (STW),” “Walk,” “Turning,” and “Walk-to-Sit (WTS)” segments. Employing the complexity index (CI) of sTUG can reveal information about the physiological dynamics’ signal for postural stability assessment. Logistic regression was used to assess the fall risk based on significant features of CI related to sTUG. MSE curves for subjects at risk of falling (n = 19) exhibited different trends from those not at risk of falling (n = 66). Additionally, the CI values were lower for subjects at risk of falling than those not at risk of falling. Results show that the area under the curve for predicting fall risk among the elderly subjects with complexity index features from the overall TUG test is 0.797, which improves to 0.853 with the sTUG test. For the elderly living in a community, early assessment of the CI for sTUG using MSE can help predict the fall risk.

Healthcare ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 179
Author(s):  
Nicolas Amiez ◽  
Carole Cometti ◽  
Éric Mouillon ◽  
Marie José Teisseire ◽  
Pascal Chenut ◽  
...  

The risk of falling increases with age. Individuals wearing unadapted shoes present an aggravating risk factor. The objective of this study was to determine the effectiveness of specifically designed balance shoes on balance and postural stability in healthy elderly people compared to that of their usual shoes. In total, 21 healthy individuals aged 65–84 years (76.0 ± 8.0 years) performed balance tests (bipedal with open or closed eyes, unipedal with open eyes, limits of stability, and step cadence) while wearing their (i) personal shoes or (ii) balance shoes (Axis Comfort Development©). Three test sessions were conducted with personal and balance shoes. The first served as the baseline, and the other two were performed after a familiarization period of several days with the personal or balance shoes. The perception of balance shoe efficiency was documented using a questionnaire. The balance shoes significantly improved bipedal balance with closed eyes. Moreover, the familiarization period significantly improved unipedal balance with open eyes. Most subjects felt safer and stabler using balance shoes. The investigated specifically designed balance shoes were effective in elderly individuals in improving postural balance compared to personal shoes. The balance shoes could, therefore, reduce the falling risk in healthy elderly people.


Author(s):  
Jian Wang ◽  
Xiuqin Chen ◽  
Xiaoming Sun ◽  
Huifen Ma ◽  
Yan Yu ◽  
...  

Background: We aimed to evaluate the predictive value of the 'Timed Up and Go' test (TUGT) for identifying fall risk in community-dwelling elderly. Methods: From Aug 2016 to Feb 2017, cluster sampling was conducted among residents aged over 60 from 15 communities in Songjiang district, Shanghai. Face-to-face questionnaire interviews and TUGT measures were conducted to collect data. Results: 6,014 participants were enrolled, with an average age 72.7±7.0 years. 637 (10.6%) elderly people had a fall experience in the past year. TUGT for the non-fall group, one-fall group and recurrent-fall group was 9.02±4.39, 10.00±5.26 and 10.78±4.51 seconds respectively (P<0.001). ROC analysis showed that the TUGT cut-off point for the elderly was 12.5 seconds and AUC was 0.573 for any-fall group and 0.613 for recurrent-fall group respectively. After adjusting for age and gender, the predictive value was not high for any-fall group (AUC=0.614) and recurrent-fall group (AUC=0.648). The TUGT cut-off point for the elderly aged below 65, 65-74, 75-84 and 85 and above was 13.52s, 12.51s, 12.51s, 12.00s, respectively. After adjustment of the confounding factors, the OR values for the risk of fall for the elderly men and women who completed TUGT longer than the cut-off point was 2.404 and 2.075 times higher than those who completed TUGT shorter than the cut-off point, respectively. Conclusion: TUGT with the cut-off score of 12.5s has limited capability in predicting fall risk in community-dwelling elderly.


Author(s):  
Rafael Nogueira Rodrigues ◽  
Eduardo Carballeira ◽  
Fernanda M. Silva ◽  
Adriana Caldo ◽  
Fabio Ceschini ◽  
...  

Increasing life expectancy and the growing number of elderly people have also increased the number of comorbidities common in this population in the same proportion, where the risk of falling is highlighted and has been increasing in a worrying and negative way. However, the practice of physical exercise can improve the prevention and reduction of falls. In this context, this chapter addresses the theme with the objective of identifying how, which, and when physical exercise can contribute in relation to the risk of falling in the elderly. Through analysis of articles and recent reviews, the chapter addresses the influence of strength, power, aerobic, and multicomponent exercises in their various components and possible influences on the risk of falling. There is also a proposal for a specific program for the risk of falling in the elderly, with adjustments in volume and intensity according to the needs of the target audience, based and improved by worldwide guidelines.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
M. Hide ◽  
Y. Ito ◽  
N. Kuroda ◽  
M. Kanda ◽  
W. Teramoto

AbstractThis study investigates how the multisensory integration in body perception changes with increasing age, and whether it is associated with older adults’ risk of falling. For this, the rubber hand illusion (RHI) and rubber foot illusion (RFI) were used. Twenty-eight community-dwelling older adults and 25 university students were recruited. They viewed a rubber hand or foot that was stimulated in synchrony or asynchrony with their own hidden hand or foot. The illusion was assessed by using a questionnaire, and measuring the proprioceptive drift and latency. The Timed Up and Go Test was used to classify the older adults into lower and higher fall-risk groups. No difference was observed in the RHI between the younger and older adults. However, several differences were observed in the RFI. Specifically, the older adults with a lower fall-risk hardly experienced the illusion, whereas those with a higher fall-risk experienced it with a shorter latency and no weaker than the younger adults. These results suggest that in older adults, the mechanism of multisensory integration for constructing body perception can change depending on the stimulated body parts, and that the risk of falling is associated with multisensory integration.


Author(s):  
Ann Mariya P.R ◽  
Delna Mary George ◽  
Elsamol Francis ◽  
Thasni R.A ◽  
Twinkle Joseph ◽  
...  

To assess the fall of risk among the elderly in selected urban area of Thrissur. Objectives a) To assess the fall risk among the elderly people in selected urban area of Kachery, Thrissur. b) To associate fall risk score with selected demographic variables. c) To correlate fall risk assessment questionnaire score and modified fall prevention checklist for personal risk factors score among elderly individuals. d) To teach the elderly people about fall prevention exercise. Methodology: Non-experimental descriptive research design is adopted in this study. We selected 60 samples through random sampling technique. Standardized fall risk assessment questionnaire built by national aging research institute and modified fall prevention checklist for personal risk factors built by Hamilton county was used to collect the data. Tool was administered by interview method for assessing fall risk. Fall preventive intervention module developed, validated and administered following data collection. The data collected were analyzed by using descriptive and inferential statistics. Result: The demographic profile of elderly people shows that 46.66% belongs to age group between 60-70 years and most of them 58.33% were females. The majority 73.33% of elderly person are at low risk for fall and 26.66% are at high risk for fall in questionnaire and 81.67% of elderly are low risk for fall, 18.33% are risk and there is no elderly person high risk for fall in checklist. The overall fall risk is high among elderly individual alone in home and low in elderly in nuclear families. The risk for fall among elderly based on previous history of fall shows that elderly with visual impairment those who don’t have previous knowledge about fall prevention and elderly age between 91-100 is high risk for fall. The risk for fall based on ability to perform ADL in elderly shows those who living alone in the home high risk for fall. There is significant association between score with selected variables like age, previous knowledge about fall prevention, elderly residing in their home alone. We found that there is perfect positive correlation r=1 between fall risk assessment, questionnaires and checklist score. Discussion: At the end of the study the investigator found that the risk for fall based on the assessment of fall history among elderly people shows that, there is significant association between age (p=0.0273) that is, age group between 91-100 years are high risk for fall. Previous knowledge about fall prevention shows that, elderly without previous knowledge about fall prevention is at high risk for fall (p= 0.03074). In sensory impairment that is, elderly having visual impairment (p=0.998) having risk for fall. The risk for fall among elderly people based on their ability to perform activities of daily living shows that, elderly residing in their home alone shows more risk for fall.


1996 ◽  
Vol 13 (3) ◽  
pp. 94-97 ◽  
Author(s):  
Colm Cooney ◽  
Margo Wrigley

It is 20 years since the first references to elder abuse appeared in the medical literature. Since then there h as been a growing realisation that although most elderly people are cherished by their families a substantial minority are at risk of abuse. Prevalence studies in different countries have suggested that approximately 5% of those over 65 may be subjected to various forms of abuse including physical, verbal, financial abuse and neglect.


PLoS ONE ◽  
2013 ◽  
Vol 8 (9) ◽  
pp. e72642 ◽  
Author(s):  
Suzanne M. Lloyd ◽  
David J. Stott ◽  
Anton J. M. de Craen ◽  
Patricia M. Kearney ◽  
Naveed Sattar ◽  
...  

2015 ◽  
pp. 1289 ◽  
Author(s):  
Ewa Zasadzka ◽  
Adrianna Maria Borowicz ◽  
Mariola Pawlaczyk ◽  
Magdalena Roszak

2021 ◽  
Vol 12 ◽  
Author(s):  
Shih-Hai Chen ◽  
Chia-Hsuan Lee ◽  
Bernard C. Jiang ◽  
Tien-Lung Sun

Fall risk assessment is very important for the graying societies of developed countries. A major contributor to the fall risk of the elderly is mobility impairment. Timely detection of the fall risk can facilitate early intervention to avoid preventable falls. However, continuous fall risk monitoring requires extensive healthcare and clinical resources. Our objective is to develop a method suitable for remote and long-term health monitoring of the elderly for mobility impairment and fall risk without the need for an expert. We employed time–frequency analysis (TFA) and a stacked autoencoder (SAE), which is a deep neural network (DNN)-based learning algorithm, to assess the mobility and fall risk of the elderly according to the criteria of the timed up and go test (TUG). The time series signal of the triaxial accelerometer can be transformed by TFA to obtain richer image information. On the basis of the TUG criteria, the semi-supervised SAE model was able to achieve high predictive accuracies of 89.1, 93.4, and 94.1% for the vertical, mediolateral and anteroposterior axes, respectively. We believe that deep learning can be used to analyze triaxial acceleration data, and our work demonstrates its applicability to assessing the mobility and fall risk of the elderly.


2020 ◽  
Vol 27 (3) ◽  
pp. 203-212
Author(s):  
Gusti Sumarsih ◽  
Fitra Yeni ◽  
Arif Rohman Mansur ◽  
Siti Annisa Irdhani

Physical health problems that often occur in the elderly people, for instance falling down to floor. The physiological changing during the aging process increase the client's risk of falling and having an accident. Most falls occur when moving from a bed, stool, and toilet, when going into or out of the bathroom, tripping over the edge of a carpet or door, slipping on wet surfaces and going downstairs. There are many factors that play a role in the occurrence of falls in the elderly, both intrinsic and extrinsic factors. The problems faced by the partners at this time include, there are 20 elderly people at the Social Home of Tresna Werdha Sabai Nan Aluih Sicincin, experiencing rheumatism, 10 seniors have experienced falls in the last 6 months, 35 elderly people experience urinary incontinence, the elderly do not know to minimize the risk of falling balance in the elderly has not been carried out and has not become a priority at the Social Home. Nursing staff identified cooperative elderly people to be provided with balance training with the application of Yoga. Activities were carried out in accordance with elderly guest houses to implement physical distancing due to pandemic Covid-19. Beside that, we provided leaflets of the Yoga’s training, some face masks, snack boxes, and cash for all elderly residents of the Sosial Home.


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