scholarly journals Recognizing Manual Activities Using Wearable Inertial Measurement Units: Clinical Application for Outcome Measurement

Sensors ◽  
2021 ◽  
Vol 21 (9) ◽  
pp. 3245
Author(s):  
Ghady El Khoury ◽  
Massimo Penta ◽  
Olivier Barbier ◽  
Xavier Libouton ◽  
Jean-Louis Thonnard ◽  
...  

The ability to monitor activities of daily living in the natural environments of patients could become a valuable tool for various clinical applications. In this paper, we show that a simple algorithm is capable of classifying manual activities of daily living (ADL) into categories using data from wrist- and finger-worn sensors. Six participants without pathology of the upper limb performed 14 ADL. Gyroscope signals were used to analyze the angular velocity pattern for each activity. The elaboration of the algorithm was based on the examination of the activity at the different levels (hand, fingers and wrist) and the relationship between them for the duration of the activity. A leave-one-out cross-validation was used to validate our algorithm. The algorithm allowed the classification of manual activities into five different categories through three consecutive steps, based on hands ratio (i.e., activity of one or both hands) and fingers-to-wrist ratio (i.e., finger movement independently of the wrist). On average, the algorithm made the correct classification in 87.4% of cases. The proposed algorithm has a high overall accuracy, yet its computational complexity is very low as it involves only averages and ratios.

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.


2021 ◽  
Vol 20 (2) ◽  
pp. 420-425
Author(s):  
Hamed Mortazavi ◽  
Mahbubeh Tabatabaeichehr ◽  
Masoumeh Taherpour ◽  
Mohadece Masoumi

Objective : Doingactivities of daily living can bring independence for the elderly. It can also maintain their health and social participation. However, experience of falls and fear of falling can affect the health and personal social life of the elderly. The aim of this study was to evaluate the relationship between falls and fear of falling with activities of daily living in older adults. Materials and methods : Four hundred and fifty elderly persons were enrolled in this cross-sectional study using cluster sampling. Demographic variables, Fall Efficacy Scale- International (FES-I) and questionnaires related to the study of activities of daily living were employed. To investigate advanced activities of daily living, open-ended questions were used. The history of falls within the last 12 months was investigated. Results : Mean score of basic activities of daily living in the elderly being studied was 15.49±1.74, and 95.4% of them were independent in doing these activities.Mean score of instrumental activities of daily living was 11.30±3.36, and 71.5% of them were independent in doing these activities. Participation of elderly persons in social activities was reported to be 77.9%. There was a significant relationship between activities of daily living (basic, instrumental, and advanced) and falls and fear of falling (p<0.05). Conclusion : Falls and fear of falling reduce the independence of elderly persons in doing activities of daily living. Bangladesh Journal of Medical Science Vol.20(2) 2021 p.420-425


Author(s):  
Omar Eduardo Omar Sánchez Estrada

Developing useful objects for a functional reeducation of senior citizens persons about the basic activities of daily living must be conceptualized considering theories, techniques, and approaches in methodology, based on ecologically bearable structures, economically viable, and socially equitable. Consequently, the present chapter has the objective to state the criteria and strategies of a sustainable design, from a detailed study of applicability of 1) user-product interaction, observation, understanding, dimensional relationship, and evaluation; 2) creative process, identification, ideation, definition, prototypes, evaluation, and structuration; 3) technical specifications, structure, sustainability, ergonomics, aesthetics, and evaluation; 4) manufacture method, sustainability, production method, life cycle, capital assets, official norms, and optimization. A contextual and conceptual analysis is proposed for the beginning, development, and conclusion of the projects so as to reestablish the relationship between natural processes and human activity.


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