Developing an Assisting Device to Reduce the Vibration on the Hands of Elders

In our society, elderly people are one of the most vulnerable classes. At present, aging in the population is becoming a more and more serious issue. This might lead to several diseases related to aging such as Parkinson’s disease. From the viewpoint of assistive techniques, a device for disadvantaged groups should be created to lessen some of the inconveniences in their lives. Therefore, in this paper, a wearable mechanism to suppress axial vibration is proposed for people who suffer from unexpected tremors in their daily lives. Some investigations on Parkinson’s patients were carried out to infer their characteristics. A dynamic model of the gyroscopic system was then analyzed to formulate interactive torques in the working space. The control input was quantified concerning balancing the system state from the kinetic energy and using the feedback linearization technique. The framework of the proposed device was then described via mechanical analysis and prototype design. To validate the effectiveness of our approach, the system’s mathematical dynamics were simulated in a MATLAB environment. In a frequency range of 2–6 Hz, the system response adapted well to axial tremors. Our hardware in the proposed design was tested in different test scenarios such as in non-gyro- and gyro-based tremor suppression for real-world applications. Hand tremors were measured using wearable equipment with various levels of amplitude. From these results, it is clear that our method could have an effectiveness of up to 92.6%, which is considerably better than that in the non-gyro case. Hence, this innovative mechanism is expected to be employed in the fields of medical assistance, health care services, and robotics.

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Elderly Behavior Prediction Using a Deep Learning Model in Smart Homes

Applications of Deep Learning and Big IoT on Personalized Healthcare Services - Advances in Medical Technologies and Clinical Practice ◽

10.4018/978-1-7998-2101-4.ch008 ◽

2020 ◽

pp. 115-131

Author(s):

Sridevi U. K. ◽

Sophia Sudhir ◽

Shanthi Palaniappan

Keyword(s):

Smart Home ◽

Health Care Services ◽

The Elderly ◽

Learning Model ◽

Machine Learning Algorithms ◽

Mobility Patterns ◽

Daily Lives ◽

Care Services ◽

Security Device ◽

At Home

The goal of a smart home is to keep track of the behaviors of the older adults with disabilities within the home, and then anticipate their activity to help with other actions. Elderly and disabled people have problems with their daily lives, while most other people are unaware of their difficulties. Helping the elderly to live independently allows them to lead their daily lives in a better manner. The implementation of analytics and machine learning algorithms leads to a predictive approach to health care services. In this chapter, a learning model in a smart home concept focuses on making it possible for the elderly to remain safe and comfortable at home. The transformative home security device learning architecture of the smart home platform is a valuable solution to studying mobility patterns at home, with the ability to identify behavioral changes related to issues of wellbeing. A predictive learning system can effectively recognize and identify the behavior of the elderly. A learning model, a recurrent neural network (RNN) is proposed to evaluate the people's activity. The focus of the present study is to forecast the deterioration in mental function and give warnings for the benefit of seniors.

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Family caregivers’ support for older adults in Nigeria

New Vistas ◽

10.36828/newvistas.144 ◽

2021 ◽

Vol 7 (2) ◽

Author(s):

Barbara Member Jika

Keyword(s):

Family Caregivers ◽

Health Care Services ◽

Coping Mechanism ◽

Review Of Literature ◽

Daily Lives ◽

Loved One ◽

Care Services ◽

Care Workers ◽

And Coping ◽

Support Family

A scoping review of literature was explored for a better understanding of the lived experiences of family caregivers for elderly in Nigeria. Unlike professional caregivers such as medical doctors, nurses and trained care workers, informal caregivers, often family members, or friends, also provide care to individuals with a variety of conditions including cancer, dementia, and advanced age. Family Caregivers of elderly with chronic illness in Nigeria, are exposed to burden associated with caregiving activities. This could involve the delivery of complex health care services alongside Activities of Daily Living (ADL). Despite the satisfaction and fulfillment that comes with caring for a loved one, family caregivers often experience negative psychological, behavioural, and physiological effects on their daily lives and health. creating awareness and understanding the burden and coping mechanism of this population is crucial to making decisions at all levels, which best support family caregivers.

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