scholarly journals Data-Driven Knowledge-Based System for Self-Measuring Activities of Daily Living in IoT-Based Test

2020 ◽  
Vol 10 (14) ◽  
pp. 4972
Author(s):  
Youngsul Shin ◽  
Yu Jin Park ◽  
Soon Ju Kang

This paper proposes a data-driven knowledge-based system with which aged people can measure the degree of activities of daily living (ADL) by themselves. The proposed system, called E-coach for ADL Test (EAT), provides participants with self-measurement procedures, using e-coaching, which is a guidance mechanism to lead the participants from an initial stage to a target goal. The EAT traces the behavior of the participants to gather ADL data that tell how well they perform the given e-coaching. Driven by the Internet of Things data, the knowledge-based inference of the EAT carries out the e-coaching mechanism that figures out what state the self-measurement procedures stay on and what guidance is necessary for the next state. The EAT ensures that all the procedures for ADL measurement are executed automatically without any help from medical professionals. The experiment described in this paper demonstrates that the EAT distinguishes between dementia patients and normal people. The measurement report assists medical doctors in the diagnosis of certain medical conditions that these people may have.

Author(s):  
Lee-Nam Kwon ◽  
Dong-Hun Yang ◽  
Myung-Gwon Hwang ◽  
Soo-Jin Lim ◽  
Young-Kuk Kim ◽  
...  

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.


2013 ◽  
Vol 12 (2) ◽  
pp. 47 ◽  
Author(s):  
Hojin Choi ◽  
Young Soon Yang ◽  
Hee-Jin Kim ◽  
Hae Ri Na ◽  
Yong S. Shim ◽  
...  

2021 ◽  
Vol 12 ◽  
Author(s):  
An Li ◽  
Dewen Wang ◽  
Shengnan Lin ◽  
Meijie Chu ◽  
Shiling Huang ◽  
...  

With increasing age, middle-aged and older persons face a series of physical and mental health problems. This study aimed to explore the latent relationships among age, functional disability, depression, and life satisfaction. The data were obtained from the Wave 2 (in 2013–2014) and Wave 3 (in 2015–2016) surveys of the China Health and Retirement Longitudinal Study. The analytic sample in the present study included 15,950 individuals aged 45 years and over. The participants answered the same questions concerning depression and life satisfaction in both study waves, and functional disability was measured based on the activities of daily living and instrumental activities of daily living. Age was directly associated with functional disability, life satisfaction, and depression. Functional disability was positively correlated with depression and negatively correlated with life satisfaction. Functional disability strongly mediated the relationships among age, depression, and life satisfaction. Depression and life satisfaction were found to have enduring effects and effects on each other. Additionally, the model revealed a gender difference. Depression in middle-aged people should receive closer attention. Avoiding or improving functional disability may be an effective way to improve life satisfaction and reduce the level of depression in middle-aged and older persons. If prevention work successfully decreases depression, the life dissatisfaction of middle-aged and older people could be improved. Additionally, for the prevention of functional disability and depression and improvement in life satisfaction, gender differences need to be considered.


2014 ◽  
Vol 13 (4) ◽  
pp. 101 ◽  
Author(s):  
Hojin Choi ◽  
Yeon-Sil Moon ◽  
Chan-Nyoung Lee ◽  
YoungSoon Yang ◽  
Eun-Hyang Song ◽  
...  

2018 ◽  
Vol 45 (5-6) ◽  
pp. 318-325 ◽  
Author(s):  
Hitoshi Okamura ◽  
Michiaki Otani ◽  
Naonori Shimoyama ◽  
Takayuki Fujii

Background/Aims: We investigated the efficacy of a combined exercise and cognitive training system that we devised for improvement of attention and concentration, cognition, and activities of daily living in older adults with dementia. Methods: A total of 100 dementia patients were randomly assigned to an intervention group or a control group. The intervention group was subjected to a combined exercise and cognitive training for 6 consecutive weeks. Evaluations were performed using the Trail Making Test-Part A, the Mini-Mental State Examination, and an N-type activities of daily living evaluation scale for the elderly. Results: A comparison of the changes in scores on the evaluation scales between the intervention group and the control group showed significant interactions for all scores. Conclusions: The combined system is effective in increasing attention and concentration and improving cognitive function and activities of daily living in dementia patients.


2016 ◽  
Vol 18 (suppl_4) ◽  
pp. iv22-iv23
Author(s):  
Q. Oort ◽  
L. Dirven ◽  
W. Meijer ◽  
S. A. M. Sikkes ◽  
B. M. J. Uitdehaag ◽  
...  

2014 ◽  
Vol 2014 ◽  
pp. 1-12 ◽  
Author(s):  
Megan E. O'Connell ◽  
Vanina Dal Bello-Haas ◽  
Margaret Crossley ◽  
Debra Morgan

Awareness in dementia is increasingly recognized not only as multifactorial, but also as domain specific. We demonstrate differential clinical correlates for awareness of daily function, awareness of memory, and the novel exploration of awareness of balance. Awareness of function was higher for participants with mild cognitive impairment (aMCI and non-aMCI) than for those with dementia (due to Alzheimer disease; AD and non-AD), whereas awareness of memory was higher for both non-aMCI and non-AD dementia patients than for those with aMCI or AD. Balance awareness did not differ based on diagnostic subgroup. Awareness of function was associated with instrumental activities of daily living and caregiver burden. In contrast, awareness of balance was associated with fall history, balance confidence, and instrumental activities of daily living. Clinical correlates of awareness of memory depended on diagnostic group: associations held with neuropsychological variables for non-AD dementia, but for patients with AD dementia, depression and instrumental activities of daily living were clinical correlates of memory awareness. Together, these data provide support for the hypothesis that awareness and dementia are not unitary and are, instead, modality specific.


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