Elderly Users
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2021 ◽  
Vol 5 (4) ◽  
pp. 381
Shaorin Tanira

Background: From health monitoring to health education and from behaviour change to falls sensing and health alerts to the simple pleasure of communication and connectedness, the mobile technologies (smartphone applications) are changing the lives of older adults.Objective: To examine current evidence of use of smartphones by older adults for health purposes (including communication, education, and health monitoring), and understand gaps and challenges in order to inform the design of future systems given the ubiquity of mobile phone technology.Methods: MEDLINE, CINAHL and Google scholar databases were searched from October 2016 to January 2017. Keywords used include ‘smartphone apps’, ‘mobile phone’, ‘chronic disease’, ‘chronic condition’, ‘older adults’ and ‘elderly’. A total of 12 articles were selected for quality assessment and grading of evidence.Results: Twelve different articles were found and categorized into nine different clinical domains with specific health related interventions. Articles were focused on diabetes care (2 articles), followed by COPD (2 articles), heart disease (1 article), Alzheimer’s/dementia Care (2 articles), osteoarthritis and pain management (1 article), fall prevention (1 article), colon cancer (1 article), palliative care (1 article), chronic kidney disease (1 article). Areas of interest studied included feasibility, acceptability, functionality and thereby determining their effectiveness. There were many different clinical domains; however, most of the studies were pilot studies. Current work in using mobile phones for older adult use are spread across a variety of clinical domains. Findings from different studies indicate that the use of mobile phone interventions has the potential to support successful management of chronic conditions and health behaviour change in older adults.Conclusion: Perceived benefits and willingness to use the smartphone apps are high; however, technical training and cost are main concerns. A common problem with elderly users was their reluctance to press buttons due to the fear of breaking something which has been resolved by touch screen technology of the smartphones. However, the advanced user clicked around the screen until he found what he was looking for, while the others spent a lot of time observing the screen and trying to determine the correct step. Promotion of user-friendly apps are expected especially for older adults having a diminished physical and cognitive abilities.International Journal of Human and Health Sciences Vol. 05 No. 04 October’21 Page: 381-387

2021 ◽  
Vol 3 (5) ◽  
Paulo Menezes ◽  
Rui P. Rocha

Abstract Societies in the most developed countries have witnessed a significant ageing of the population in recent decades, which increases the demand for healthcare services and caregivers. The development of technologies to help the elderly, so that they can remain active and independent for a longer time, helps to mitigate the sustainability problem posed in care services. This article follows this new trend, proposing a multi-agent system composed of a smart camera network, centralised planning agent, a virtual coach, and robotic exercise buddy, designed to promote regular physical activity habits among the elderly. The proposed system not only persuades the users to perform exercise routines, but also guides and accompanies them during exercises in order to provide effective training and engagement to the user. The different agents are combined in the system to exploit their complementary features in the quest for an effective and engaging training system. Three variants of the system, involving either a partial set of those agents or the full proposed system, were evaluated and compared through a pilot study conducted with 12 elderly users. The results demonstrate that all variants are able to guide the user in an exercise routine, but the most complete system that includes a robotic exercise buddy was the best scored by the participants. Article Highlights Proposal of a multi-agent system to help elderly adopting regular physical activity habits. A virtual coach and a robotic exercise buddy provide both guidance and companionship during the exercise. A pilot study conducted with 12 elderly users demonstrated an effective and engaging training system.

Shejolinvijai V. N. ◽  
Santhosh Dharmaraj. A ◽  
Dr. G. S. Uthayakumar

For participants of diabetes prevention programs, we consider that it is effective to record vital signs, such as weight and blood pressure, and to receive instruction based on such readings during the follow-up period in order to avoid rebound. Although the Internet is an effective medium for recording data and reporting everyday health status, health support systems that require the use of a PC can place a heavy burden on users, especially elderly users. In this research, we utilized a sensor information web service which is a home network based on ZigBee, and discuss effective implementation of a follow-up system. We explained and demonstrated the proposed system to participants who had completed a diabetes prevention program and administered a questionnaire about their impression of system use. From the questionnaire results, we clarify the considerations and requirements necessary for introducing such a home network system with the elderly. The ultimate purpose of this paper is providing to provide a standard knowledge base system toward a medical prescription capable of dealing with(inconsistencies) and exceptions cases, which will enhance individual healthcare and provide an appropriate prescription. This is accomplished by expanding the capabilities of description logic with defeasible rules, to achieve accurate prescription decision for any patient’s condition(s).

Mohammed Faeik Ruzaij Al-Okby ◽  
Kerstin Thurow

Fall detection systems for the elderly are very important to protect this type of users. The early detection of the fall of the elderly has a major impact on saving their lives and avoiding the deterioration of the negative medical effects resulting from the effect of the patient falling on a hard surface. One of the constraints in fall detection systems are false-negative errors (no fall detection) or false-positive errors (sending a false warning without real fall accident). These errors have to be reduced significantly. In this paper, an innovative method to reduce fall detection system errors is proposed. The system consists of two orientation detection sensors to track the body orientation instead of using a single sensor in the previous systems which enhances the system accuracy and reduces the false-negative and false-positive errors. The system uses a small size IoT-based controller to process the sensor's information and make the alarm decision based on specific thresholds. The output alarm of the system includes an email sent to the caregivers via the embedded Wi-Fi ESP8266 module as well as an SMS message to the caregivers’ phones via GSM modules to ensure that the alarm message arrives in the absence of internet coverage for the patient or the caregiver. The system is powered by a small lithium-Ion battery. All sensors and modules of the system are combined in a small rubber box that can be fixed in a waist belt or the chest rejoin of the user body. Several tests have been made in different procedures. The tests revealed that the new approach improves the accuracy of the system and reduces the possibility of triggering wrong alarms.

2021 ◽  
pp. 101629
YuanYuan Cao ◽  
QingQi Long ◽  
BaoLiang Hu ◽  
JunJun Li ◽  
XingHong Qin

Informatics ◽  
2021 ◽  
Vol 8 (2) ◽  
pp. 23
Alessandra Sorrentino ◽  
Gianmaria Mancioppi ◽  
Luigi Coviello ◽  
Filippo Cavallo ◽  
Laura Fiorini

This study aims to investigate the role of several aspects that may influence human–robot interaction in assistive scenarios. Among all, we focused on semi-permanent qualities (i.e., personality and cognitive state) and temporal traits (i.e., emotion and engagement) of the user profile. To this end, we organized an experimental session with 11 elderly users who performed a cognitive assessment with the non-humanoid ASTRO robot. ASTRO robot administered the Mini Mental State Examination test in Wizard of Oz setup. Temporal and long-term qualities of each user profile were assessed by self-report questionnaires and by behavioral features extrapolated by the recorded videos. Results highlighted that the quality of the interaction did not depend on the cognitive state of the participants. On the contrary, the cognitive assessment with the robot significantly reduced the anxiety of the users, by enhancing the trust in the robotic entity. It suggests that the personality and the affect traits of the interacting user have a fundamental influence on the quality of the interaction, also in the socially assistive context.

2021 ◽  
Vol 8 (05) ◽  
pp. 01-03
Filomena da Ponte

Aging, consensually assumed as a process that affects and alters significantly the cognitive and behavioral functions of the human being , encompassing multiple effects on a number of clinically significant variables , the most important being those that directly relate to the movement, ability to balance the effectiveness of mental functioning and sensory functions such as taste, smell , sight and hearing . Hearing loss in the elderly, scientifically called presbiacustia emerges quietly and is increased progressively with advancing age. This study had as its aim to contribute to the achievement of the best quality of life for elderly individuals with hearing loss (presbycusis). Thus, the objectives targeted were: trying to understand the motivations of the elderly to the use of hearing aids; determine the degree of satisfaction of users of these prostheses; evaluate how Preabycusis affects the quality of life of the elderly. The method used was qualitative oriented once interviewed the elderly users of the home. The sample was composed of 110 participants, with presbycusis, 69 female and 41 male (institutionalized seniors).

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