The Elderly Fall Risk Assessment and Prediction Based on Gait Analysis

2011 ◽  
Author(s):  
Susu Jiang ◽  
Bofeng Zhang ◽  
Daming Wei
Keyword(s):  
Risk Assessment ◽  
Gait Analysis ◽  
Fall Risk ◽  
The Elderly ◽  
Fall Risk Assessment

scholarly journals Comparison of Fall Risk Assessment Tools for Older Indonesian Adults in the Elderly Home and the Community

2019 ◽  
Vol 8 (3) ◽  
pp. 241
Author(s):  
Indri Hapsari Susilowati ◽  
Susiana Nugraha ◽  
Sabarinah Sabarinah ◽  
Bonardo Prayogo Hasiholan ◽  
Supa Pengpid ◽  
...  
Keyword(s):  
Risk Factors ◽  
Risk Assessment ◽  
Fall Risk ◽  
Assessment Tool ◽  
The Elderly ◽  
Risk Assessment Tool ◽  
Fall Risk Assessment ◽  
Elderly Home ◽  
Balance Confidence ◽  
Confidence Scale

Introduction: One of the causes of disability among elderly is falling. The ability to predict the risk of falls among this group is important so that the appropriate treatment can be provided to reduce the risk. The objective of this study was to compare the Stopping Elderly Accidents, Deaths, & Injuries (STEADI) Initiative from the Centers for Disease Control and Prevention (CDC) and The Johns Hopkins Fall Risk Assessment Tool (JHFRAT) from the Johns Hopkins University. Methods: This study used the STEADI tool, JHFRAT, Activities-Specific Balance Confidence Scale (ABC), and The Geriatric Depression Scale (GDS). The study areas were in community and elderly home in both public and private sectors and the samples were 427 after cleaning. Results: The results for the STEADI and JHFRAT tools were similar where the respondents at highest risk of falling among women (STEADI: 49%; JHFRAT: 3.4%), in Bandung area (63.5%; 5.4%), in private homes (63.3%; 4.4%), non-schools (54.6%; 6.2%), aged 80 or older (64.8%; 6.7%) and not working (48.9%;3.3%). The regression analysis indicated that there was a significant relationship between the risk factors for falls in the elderly determined by the JHFRAT and STEADI tools: namely, region, type of home, age, disease history, total GDS and ABC averages. Conclusion: Despite the similarity in the risk factors obtained through these assessments, there was a significant difference between the results for the STEADI tool and the JHFRAT. The test strength was 43%. However, STEADI is more sensitive to detect fall risk smong elderly than JHFRATKeywords: Activities-Specific Balance Confidence scale, elderly, fall risk,The Johns Hopkins Fall Risk Assessment Tool, the Stopping Elderly Accidents, Deaths, & Injuries

To Assess the Fall Risk among the Elderly in selected Urban Area Kachery, Thrissur

2021 ◽  
pp. 295-298
Author(s):  
Ann Mariya P.R ◽  
Delna Mary George ◽  
Elsamol Francis ◽  
Thasni R.A ◽  
Twinkle Joseph ◽  
...  
Keyword(s):  
Risk Assessment ◽  
High Risk ◽  
Urban Area ◽  
Elderly People ◽  
Fall Prevention ◽  
Fall Risk ◽  
Elderly Person ◽  
The Elderly ◽  
Previous Knowledge ◽  
Fall Risk Assessment

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.

scholarly journals Feature extraction and selection for objective gait analysis and fall risk assessment by accelerometry

2011 ◽  
Vol 10 (1) ◽  
pp. 1 ◽  
Author(s):  
Benoit Caby ◽  
Suzanne Kieffer ◽  
Marie de Saint Hubert ◽  
Gerald Cremer ◽  
Benoit Macq
Keyword(s):  
Risk Assessment ◽  
Feature Extraction ◽  
Gait Analysis ◽  
Fall Risk ◽  
Fall Risk Assessment ◽  
Feature Extraction And Selection ◽  
Selection For

scholarly journals Using a Stacked Autoencoder for Mobility and Fall Risk Assessment via Time–Frequency Representations of the Timed Up and Go Test

2021 ◽  
Vol 12 ◽  
Author(s):  
Shih-Hai Chen ◽  
Chia-Hsuan Lee ◽  
Bernard C. Jiang ◽  
Tien-Lung Sun
Keyword(s):  
Risk Assessment ◽  
Fall Risk ◽  
Learning Algorithm ◽  
The Elderly ◽  
Developed Countries ◽  
Mobility Impairment ◽  
Timed Up And Go ◽  
Fall Risk Assessment ◽  
Time Frequency ◽  
Stacked Autoencoder

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.

scholarly journals Comparison of Fall Risk Assessment Tools for Older Indonesian Adults in the Elderly Home and the Community

2019 ◽  
Vol 8 (3) ◽  
pp. 241
Author(s):  
Indri Hapsari Susilowati ◽  
Susiana Nugraha ◽  
Sabarinah Sabarinah ◽  
Bonardo Prayogo Hasiholan ◽  
Supa Pengpid ◽  
...  
Keyword(s):  
Risk Factors ◽  
Risk Assessment ◽  
Fall Risk ◽  
Assessment Tool ◽  
The Elderly ◽  
Risk Assessment Tool ◽  
Fall Risk Assessment ◽  
Elderly Home ◽  
Balance Confidence ◽  
Confidence Scale

Introduction: One of the causes of disability among elderly is falling. The ability to predict the risk of falls among this group is important so that the appropriate treatment can be provided to reduce the risk. The objective of this study was to compare the Stopping Elderly Accidents, Deaths, & Injuries (STEADI) Initiative from the Centers for Disease Control and Prevention (CDC) and The Johns Hopkins Fall Risk Assessment Tool (JHFRAT) from the Johns Hopkins University. Methods: This study used the STEADI tool, JHFRAT, Activities-Specific Balance Confidence Scale (ABC), and The Geriatric Depression Scale (GDS). The study areas were in community and elderly home in both public and private sectors and the samples were 427 after cleaning. Results: The results for the STEADI and JHFRAT tools were similar where the respondents at highest risk of falling among women (STEADI: 49%; JHFRAT: 3.4%), in Bandung area (63.5%; 5.4%), in private homes (63.3%; 4.4%), non-schools (54.6%; 6.2%), aged 80 or older (64.8%; 6.7%) and not working (48.9%;3.3%). The regression analysis indicated that there was a significant relationship between the risk factors for falls in the elderly determined by the JHFRAT and STEADI tools: namely, region, type of home, age, disease history, total GDS and ABC averages. Conclusion: Despite the similarity in the risk factors obtained through these assessments, there was a significant difference between the results for the STEADI tool and the JHFRAT. The test strength was 43%. However, STEADI is more sensitive to detect fall risk smong elderly than JHFRATKeywords: Activities-Specific Balance Confidence scale, elderly, fall risk,The Johns Hopkins Fall Risk Assessment Tool, the Stopping Elderly Accidents, Deaths, & Injuries

Efektivitas Hendrich Fall Scale (HFS) dan Morse Fall Scale (MFS) dengan Penilaian Risiko Jatuh pada Lansia

2021 ◽  
Vol 6 (1) ◽  
pp. 21
Author(s):  
Maita Sarah ◽  
Elyani Sembiring
Keyword(s):  
Risk Assessment ◽  
High Risk ◽  
Fall Risk ◽  
The Elderly ◽  
Total Sample ◽  
Risk Of Falling ◽  
Moderate Risk ◽  
Chi Square ◽  
Fall Risk Assessment ◽  
Risk Of Fall

The goal of understanding fall risk in the elderly, prevention and protection is to improve clinical and care satisfaction. Another anticipatory method that can be used to predict falling conditions is the assessment of the risk of falling in the elderly. The Hendrich Fall Scale (HFS) and Morse Fall Scale (MFS) are a form of assessment to anticipate the risk of falling in the elderly in nursing homes for patients. The aim is to determine the effectiveness of the Hendrich Fall Scale and the Morse Fall Scale with an assessment of the Risk of Fall in the Elderly. The research design used in this study is a longitudinal comparative design. The total sample in this study was 40 elderly. This research was conducted at the Nursing Home Foundation Guna Budi Bakti Medan Labuhan. Data collection using the Hendrich Fall Scale and Morse Fall Scale. Data analysis using Chi Square. Fall risk assessment using the Hendrich Fall Scale (HFS), elderly people with a high risk of falling (25.0%), moderate risk of falling (65.0%). Fall risk assessment used the Morse Fall Scale (MFS), the elderly who had a high risk of falling (39.1%), moderate risk of falling (47.8%). It is recommended that seniors at risk of falling should be assessed using the MFS instrument.

scholarly journals A Systematic Review of the Guidelines and Delphi Study for the Multifactorial Fall Risk Assessment of Community-Dwelling Elderly

2020 ◽  
Vol 17 (17) ◽  
pp. 6097
Author(s):  
Jieun Kim ◽  
Worlsook Lee ◽  
Seon Heui Lee
Keyword(s):  
Systematic Review ◽  
Risk Assessment ◽  
Delphi Study ◽  
Fall Risk ◽  
Assessment Tool ◽  
The Elderly ◽  
Community Dwelling ◽  
Assessment Tools ◽  
Risk Assessment Tool ◽  
Fall Risk Assessment

As falls are among the most common causes of injury for the elderly, the prevention and early intervention are necessary. Fall assessment tools that include a variety of factors are recommended for preventing falls, but there is a lack of such tools. This study developed a multifactorial fall risk assessment tool based on current guidelines and validated it from the perspective of professionals. We followed the Meta-Analysis of Observational Studies in Epidemiology’s guidelines in this systematic review. We used eight international and five Korean databases to search for appropriate guidelines. Based on the review results, we conducted the Delphi survey in three rounds; one open round and two scoring rounds. About nine experts in five professional areas participated in the Delphi study. We included nine guidelines. After conducting the Delphi study, the final version of the “Multifactorial Fall Risk Assessment tool for Community-Dwelling Older People” (MFA-C) has 36 items in six factors; general characteristics, behavior factors, disease history, medication history, physical function, and environmental factors. The validity of the MFA-C tool was largely supported by various academic fields. It is expected to be beneficial to the elderly in the community when it comes to tailored interventions to prevent falls.

Sign in / Sign up

Export Citation Format

Share Document