scholarly journals A DSL-Based Approach for Detecting Activities of Daily Living by Means of the AGGIR Variables

Sensors ◽  
2021 ◽  
Vol 21 (16) ◽  
pp. 5674
Author(s):  
José Manuel Negrete Ramírez ◽  
Philippe Roose ◽  
Marc Dalmau ◽  
Yudith Cardinale ◽  
Edgar Silva
Keyword(s):  
Activities Of Daily Living ◽  
Home Environment ◽  
Daily Living ◽  
Smart Home ◽  
Daily Activities ◽  
Domain Specific Language ◽  
Analysis Tool ◽  
Disabled People ◽  
Domain Specific ◽  
Event Information

In this paper, we propose a framework for studying the AGGIR (Autonomie Gérontologique et Groupe Iso Ressources—Autonomy Gerontology Iso-Resources Groups) grid model, with the aim of assessing the level of independence of elderly people in accordance with their capabilities of performing daily activities as well as interacting with their environments. In order to model the Activities of Daily Living (ADL), we extend a previously proposed Domain Specific Language (DSL), by defining new operators to deal with constraints related to time and location of activities and event recognition. The proposed framework aims at providing an analysis tool regarding the performance of elderly/disabled people within a home environment by means of data recovered from sensors using a smart-home simulator environment. We perform an evaluation of our framework in several scenarios, considering five of the AGGIR variables (i.e., feeding, dressing, toileting, elimination, and transfers) as well as health-care devices for tracking the occurrence of elderly activities. The results demonstrate the accuracy of the proposed framework for managing the tracked records correctly and, thus, generate the appropriate event information related to the ADL.

scholarly journals Independence and Caregiver Preferences Among Community-Dwelling Older People in Slovenia: A Cross-Sectional Study

2019 ◽  
Vol 56 ◽  
pp. 004695801986915
Author(s):  
Katarina Galof ◽  
Anja Žnidaršič ◽  
Zvone Balantič
Keyword(s):  
Older People ◽  
Activities Of Daily Living ◽  
Home Environment ◽  
Daily Living ◽  
Community Dwelling ◽  
Daily Activities ◽  
Rank Test ◽  
Cross Sectional ◽  
Term Care ◽  
At Home

Although Slovenia is becoming an aging society, very little is known about the abilities and needs of home-dwelling older people or their preferences regarding assistance. The aim of the study was to explore the need for assistance in daily activities among older Slovenian people living at home. Older adults aged between 65 and 97 years (N = 358) participated in the cross-sectional survey study. A questionnaire that assessed independence in daily activities and assistance in the home environment was developed. Data were analyzed using descriptive statistics, a nonparametric test (Wilcoxon signed rank test), and the chi-square test. The results showed that older Slovenians were more independent in activities of daily living (ADLs) than instrumental activities of daily living (IADLs). Independence was the highest for using the toilet, feeding, and mobility transfers, and the lowest for bathing. With IADLs, assistance was most often required with shopping and housework; this assistance was usually provided by family members. The provider of assistance was generally compatible with older people’s preferences concerning assistance at home. We found no differences in care preferences between urban and rural settings. Assistance in the home environment was predominantly provided by unpaid helpers, which reflects recent developments in health and social services that put an emphasis on a person’s social network. Due to demographic changes and the decrease in the number of adult children, reliance on close relatives might soon become a challenge. These findings can help policy makers understand older people’s choices and preferences better when planning long-term care.

scholarly journals Automated Classification of Normal Control and Early-Stage Dementia Based on Activities of Daily Living (ADL) Data Acquired from Smart Home Environment

2021 ◽  
Vol 18 (24) ◽  
pp. 13235
Author(s):  
Lee-Nam Kwon ◽  
Dong-Hun Yang ◽  
Myung-Gwon Hwang ◽  
Soo-Jin Lim ◽  
Young-Kuk Kim ◽  
...  
Keyword(s):  
Activities Of Daily Living ◽  
Normal Control ◽  
Daily Living ◽  
Smart Home ◽  
Early Stage ◽  
Machine Learning Techniques ◽  
Evaluation Tool ◽  
Dementia Patients ◽  
Diagnosis Of Dementia

With the global trend toward an aging population, the increasing number of dementia patients and elderly living alone has emerged as a serious social issue in South Korea. The assessment of activities of daily living (ADL) is essential for diagnosing dementia. However, since the assessment is based on the ADL questionnaire, it relies on subjective judgment and lacks objectivity. Seven healthy seniors and six with early-stage dementia participated in the study to obtain ADL data. The derived ADL features were generated by smart home sensors. Statistical methods and machine learning techniques were employed to develop a model for auto-classifying the normal controls and early-stage dementia patients. The proposed approach verified the developed model as an objective ADL evaluation tool for the diagnosis of dementia. A random forest algorithm was used to compare a personalized model and a non-personalized model. The comparison result verified that the accuracy (91.20%) of the personalized model was higher than that (84.54%) of the non-personalized model. This indicates that the cognitive ability-based personalization showed encouraging performance in the classification of normal control and early-stage dementia and it is expected that the findings of this study will serve as important basic data for the objective diagnosis of dementia.

Polyneuropathy relates to impairment in daily activities, worse gait, and fall-related injuries

Neurology ◽  
2017 ◽  
Vol 89 (1) ◽  
pp. 76-83 ◽  
Author(s):  
Rens Hanewinckel ◽  
Judith Drenthen ◽  
Vincentius J.A. Verlinden ◽  
Sirwan K.L. Darweesh ◽  
Jos N. van der Geest ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Linear Regression ◽  
Activities Of Daily Living ◽  
Daily Living ◽  
Health Assessment ◽  
Population Based ◽  
Daily Activities ◽  
Instrumental Activities ◽  
Gait Parameters ◽  
History Of

Objective:To extensively investigate the association of chronic polyneuropathy with basic and instrumental activities of daily living (BADL and IADL), falls, and gait.Methods:A total of 1,445 participants of the population-based Rotterdam Study (mean age 71 years, 54% women) underwent a polyneuropathy screening involving a symptom questionnaire, neurologic examination, and nerve conduction studies. Screening yielded 4 groups: no, possible, probable, and definite polyneuropathy. Participants were interviewed about BADL (Stanford Health Assessment questionnaire), IADL (Instrumental Activities of Daily Living scale), and frequency of falling in the previous year. In a random subset of 977 participants, gait was assessed with an electronic walkway. Associations of polyneuropathy with BADL and IADL were analyzed continuously with linear regression and dichotomously with logistic regression. History of falling was evaluated with logistic regression, and gait changes were evaluated with linear regression.Results:Participants with definite polyneuropathy had more difficulty in performing BADL and IADL than participants without polyneuropathy. Polyneuropathy related to worse scores of all BADL components (especially walking) and 3 IADL components (housekeeping, traveling, and shopping). Participants with definite polyneuropathy were more likely to fall, and these falls more often resulted in injury. Participants with polyneuropathy had worse gait parameters on the walkway, including lower walking speed and cadence, and more errors in tandem walking.Conclusions:Chronic polyneuropathy strongly associates with impairment in the ability to perform daily activities and relates to worse gait and an increased history of falling.

The Relationship between Knee Extension Strength and Activities of Daily Living in Patients with Dementia

2011 ◽  
pp. 244-256
Author(s):  
Makoto Suzuki ◽  
Hikari Kirimoto ◽  
Atsushi Inamura ◽  
Yoshitsugu Omori ◽  
Sumio Yamada
Keyword(s):  
Lower Extremity ◽  
Activities Of Daily Living ◽  
Daily Living ◽  
Functional Independence Measure ◽  
Knee Extensor ◽  
Functional Independence ◽  
Knee Extension ◽  
Daily Activities ◽  
Lower Body ◽  
Knee Extensor Strength

The purpose of this study was to examine the test-retest reliability of hand-held dynamometer measurements in patients with dementia and determine if predictions about a patient’s ability to perform daily activities can be made from knee extension strength measurements. This study was composed of two rounds of data collection. Sixty patients with dementia were enrolled in the first round to assess the reliability of hand-held dynamometer measurements, and 54 patients with dementia were enrolled in the second round for predicting their ability to perform daily activities. Knee extensor strength was measured twice, separated by a three minute interval, with hand-held dynamometer. The authors also assessed daily activities related to the patient’s lower extremities, including dressing the lower body, using the toile, transferring to the bed/toilet/shower, and walking. Lower extremity activities of the Functional Independence Measure were assessed by the nursing home caregiver that had the most regular contact with each subject. When the Functional Independence Measure score of each lower extremity function was =6 points, the subject was considered to be independent. The intraclass correlation coefficient was 0.97. Bland-Altman plots showed the 95% difference value to be within 2 SDs of the mean. The curves of negative and positive predictive values revealed the following threshold levels: 0.8 Nm/kg was the best predictor for dressing the lower body and using the toilet; 1.2 Nm/kg was the best predictor for transferring to the bed/toilet/shower; and 0.6 Nm/kg was the best predictor for gait performance. Strength measurements taken with a hand-held dynamometer were reliable in patients with dementia, and normalized knee extensor strength was found to be a predictor of the ability to perform activities of daily living.

scholarly journals An Entropy-Based Approach for Anomaly Detection in Activities of Daily Living in the Presence of a Visitor

Entropy ◽  
2020 ◽  
Vol 22 (8) ◽  
pp. 845 ◽  
Author(s):  
Aadel Howedi ◽  
Ahmad Lotfi ◽  
Amir Pourabdollah
Keyword(s):  
Anomaly Detection ◽  
Activities Of Daily Living ◽  
Home Environment ◽  
Health Care Workers ◽  
Daily Living ◽  
Healthcare Management ◽  
Entropy Measure ◽  
Care Workers ◽  
Entropy Measures ◽  
Measure Analysis

This paper presents anomaly detection in activities of daily living based on entropy measures. It is shown that the proposed approach will identify anomalies when there are visitors representing a multi-occupant environment. Residents often receive visits from family members or health care workers. Therefore, the residents’ activity is expected to be different when there is a visitor, which could be considered as an abnormal activity pattern. Identifying anomalies is essential for healthcare management, as this will enable action to avoid prospective problems early and to improve and support residents’ ability to live safely and independently in their own homes. Entropy measure analysis is an established method to detect disorder or irregularities in many applications: however, this has rarely been applied in the context of activities of daily living. An experimental evaluation is conducted to detect anomalies obtained from a real home environment. Experimental results are presented to demonstrate the effectiveness of the entropy measures employed in detecting anomalies in the resident’s activity and identifying visiting times in the same environment.

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