Using a Smartphone as a Track and Fall Detector

2015 ◽  
pp. 272-295
Author(s):  
Chia-Yin Ko ◽  
Fang-Yie Leu ◽  
I-Tsen Lin
Keyword(s):  
Social Networks ◽  
Emergency Medical Services ◽  
Real Time ◽  
Family Caregivers ◽  
Fall Detection ◽  
The Elderly ◽  
Elderly Individual ◽  
Communication Services ◽  
People With Dementia

This chapter proposes a smartphone-based system for both indoor and outdoor monitoring of people with dementia. The whole system comprises wandering detection, safety-zone monitoring, fall detection, communication services, alert notifications, and emergency medical services. To effectively track the elderly, the proposed system uses a smartphone camera to take real-time pictures along the user's path as he or she moves about. Those photos, accompanied with time and GPS signals, are delivered to and stored on the Cloud system. When necessary, family caregivers can download those data to quickly find a way to help the elderly individual. Additionally, this study uses tri-axial accelerometers to examine falls. To assure individuals' data is safeguarded appropriately, an RSA method has been adopted by the system to encrypt stored data. This reliable and minimally intrusive system provides people with dementia with an opportunity to maintain their social networks and to improve their quality of lives.

Using a Smartphone as a Track and Fall Detector

2016 ◽  
pp. 922-944
Author(s):  
Chia-Yin Ko ◽  
Fang-Yie Leu ◽  
I-Tsen Lin
Keyword(s):  
Social Networks ◽  
Emergency Medical Services ◽  
Real Time ◽  
Family Caregivers ◽  
Fall Detection ◽  
The Elderly ◽  
Elderly Individual ◽  
Communication Services ◽  
People With Dementia

This chapter proposes a smartphone-based system for both indoor and outdoor monitoring of people with dementia. The whole system comprises wandering detection, safety-zone monitoring, fall detection, communication services, alert notifications, and emergency medical services. To effectively track the elderly, the proposed system uses a smartphone camera to take real-time pictures along the user's path as he or she moves about. Those photos, accompanied with time and GPS signals, are delivered to and stored on the Cloud system. When necessary, family caregivers can download those data to quickly find a way to help the elderly individual. Additionally, this study uses tri-axial accelerometers to examine falls. To assure individuals' data is safeguarded appropriately, an RSA method has been adopted by the system to encrypt stored data. This reliable and minimally intrusive system provides people with dementia with an opportunity to maintain their social networks and to improve their quality of lives.

scholarly journals Family caregivers of elderly with dementia Relationship between religiosity, resilience, quality of life and burden

2018 ◽  
Vol 12 (4) ◽  
pp. 408-414 ◽  
Author(s):  
Carla Fabiana Carletti Pessotti ◽  
Lineu Corrêa Fonseca ◽  
Gloria Maria de Almeida Souza Tedrus ◽  
Diana Tosello Laloni
Keyword(s):  
Quality Of Life ◽  
Depressive Symptoms ◽  
Family Caregivers ◽  
Neuropsychiatric Symptoms ◽  
The Elderly ◽  
Clinical Aspects ◽  
People With Dementia ◽  
The Family ◽  
Severity Of Dementia

ABSTRACT There are gaps in knowledge regarding how the family caregiver deals with the burden of caring for elderly people with dementia. Objective: To evaluate the family caregivers’ perception of quality of life (QoL), burden, resilience and religiosity and relate them with cognitive aspects and occurrence of neuropsychiatric symptoms of elderly with dementia. Methods: Data from the QoL-AD scale, caregivers’ version, burden interview, resilience scale, Beck depression inventory and PDUREL of 50 family caregivers were correlated with disability assessment for dementia, neuropsychiatric inventory and clinical aspects of 50 elderly with dementia. Results: Linear regression showed that resilience is related with better perceived QoL (p<0.001), severity of dementia (p=0.008), higher intrinsic religiosity (IR) (p=0.044) and lower occurrence of depressive symptoms (p=0.001). Increased burden of family caregivers was associated with a higher occurrence of neuropsychiatric symptoms, education of the elder with dementia, and worse perceived QoL (p<0.001). Lower level of organizational religiosity was associated with severity of dementia. Conclusion: The most resilient caregivers had higher QoL and IR, fewer depressive symptoms, and cared for elders with more severe dementia. Cognitive and sociodemographic aspects, as well as neuropsychiatric symptoms, in the elderly with dementia were associated with QoL and greater caregiver burden.

scholarly journals AnkFall—Falls, Falling Risks and Daily-Life Activities Dataset with an Ankle-Placed Accelerometer and Training Using Recurrent Neural Networks

Sensors ◽  
2021 ◽  
Vol 21 (5) ◽  
pp. 1889
Author(s):  
Francisco Luna-Perejón ◽  
Luis Muñoz-Saavedra ◽  
Javier Civit-Masot ◽  
Anton Civit ◽  
Manuel Domínguez-Morales
Keyword(s):  
Elderly Person ◽  
Fall Detection ◽  
The Elderly ◽  
Daily Life Activities ◽  
Learning Classifier ◽  
The People ◽  
Activity Types ◽  
Remote Monitoring Systems ◽  
Secondary Study

Falls are one of the leading causes of permanent injury and/or disability among the elderly. When these people live alone, it is convenient that a caregiver or family member visits them periodically. However, these visits do not prevent falls when the elderly person is alone. Furthermore, in exceptional circumstances, such as a pandemic, we must avoid unnecessary mobility. This is why remote monitoring systems are currently on the rise, and several commercial solutions can be found. However, current solutions use devices attached to the waist or wrist, causing discomfort in the people who wear them. The users also tend to forget to wear the devices carried in these positions. Therefore, in order to prevent these problems, the main objective of this work is designing and recollecting a new dataset about falls, falling risks and activities of daily living using an ankle-placed device obtaining a good balance between the different activity types. This dataset will be a useful tool for researchers who want to integrate the fall detector in the footwear. Thus, in this work we design the fall-detection device, study the suitable activities to be collected, collect the dataset from 21 users performing the studied activities and evaluate the quality of the collected dataset. As an additional and secondary study, we implement a simple Deep Learning classifier based on this data to prove the system’s feasibility.

scholarly journals Understanding the Link between Family Caregiver Quality of Life and the Care Provided to Older People With Dementia

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 153-154
Author(s):  
Afeez Hazzan
Keyword(s):  
Quality Of Life ◽  
Quality Of Care ◽  
Older People ◽  
Family Caregivers ◽  
Family Caregiver ◽  
Well Being ◽  
The United States ◽  
People With Dementia ◽  
The Impact

Abstract Dementia is one of the most rapidly growing diseases in the United States. In 2018, the direct costs to American society of caring for older people with dementia was approximately $277 billion. Primary informal caregivers are mainly responsible for the care of older people with dementia including Alzheimer’s disease. Caregivers perform a myriad of duties ranging from shopping for their loved ones’ groceries, helping with medications, and managing finances. The caregiving role becomes more demanding as the disease progresses over time, and studies have shown that the quality-of-life (QoL) experienced by caregivers of older adults who have dementia is lower than the QoL of caregivers for older people who do not have dementia. To the best of our knowledge, there has been no research conducted to investigate whether lower caregiver QoL affects the level or quality of care that caregivers provide to persons with dementia. In the current study, we interviewed family caregivers living in Rochester, New York to inquire about their quality of life and the care provided to older people living with dementia. Further, caregivers completed the 36-item Short Form Health Survey (SF-36) as well as a draft questionnaire for measuring the quality of care provided to older people living with dementia. Both quantitative and qualitative findings from this study reveals important relationships between family caregiver QoL and the care provided, including the impact of social support and financial well-being. The study findings could have significant impact, particularly for the provision of much needed support for family caregivers.

scholarly journals Quality of Care Provided by Family Caregivers of Older People With Dementia: Measurement and Interpretations

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 152-152
Author(s):  
Afeez Hazzan
Keyword(s):  
Quality Of Care ◽  
Older People ◽  
Family Caregivers ◽  
Family Caregiver ◽  
Primary Reason ◽  
People With Dementia ◽  
High Level ◽  
The Impact ◽  
The Relationship

Abstract Family caregivers of older people living with dementia are relatives, friends, or neighbors who provide assistance related to this condition, but who are unpaid for the services they provide. Although caregiving could be personally rewarding, many caregivers report a high level of strain. Compared to caregivers of older adults who do not have dementia, family caregivers of older people living with dementia report lower quality-of-life (QoL). In a published systematic review examining the relationship between family caregiver QoL and the quality of care provided, only one study was found to be somewhat relevant. The study suggested that the primary reason for an absence of research into the link between family caregiver QoL and quality of care was the absence of a questionnaire for measuring quality of care in dementia. Therefore, any attempt to investigate the impact of caregiver QoL on the care provided to older people with dementia must first address the lack of an instrument to measure quality of care. To address this issue, we interviewed approximately 20 family caregivers in order to elicit feedback on measurements and interpretation of the quality of care provided by family caregivers of older people living with dementia. Content analysis of the interview transcripts revealed that the quality of relationships with family, caregiver availability to provide or supervise care, and availability of paid or volunteer help are important for the quality of care provided. These results have important implications, particularly for the development of an instrument to measure quality of care in dementia.

Enhancing data-driven elderly appointment services in domestic care communities under COVID-19

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
H.Y. Lam ◽  
G.T.S. Ho ◽  
Daniel Y. Mo ◽  
Valerie Tang
Keyword(s):  
Artificial Intelligence ◽  
Real Time ◽  
Care Service ◽  
The Elderly ◽  
Care Centre ◽  
Service Matching ◽  
Content Type ◽  
Care Services ◽  
Domestic Care

PurposeUnder the impact of Coronavirus disease 2019 (COVID-19), this paper contributes in the deployment of the Artificial Intelligence of Things (AIoT)-based system, namely AIoT-based Domestic Care Service Matching System (AIDCS), to the existing electronic health (eHealth) system so as to enhance the delivery of elderly-oriented domestic care services.Design/methodology/approachThe proposed AIDCS integrates IoT and Artificial Intelligence (AI) technologies to (1) capture real-time health data of the elderly at home and (2) provide the knowledge support for decision making in the domestic care appointment service in the community.FindingsA case study was conducted in a local domestic care centre which provided elderly oriented healthcare services to the elderly. By integrating IoT and AI into the service matching process of the mobile apps platform provided by the local domestic care centre, the results proved that customer satisfaction and the quality of the service delivery were improved by observing the key performance indicators of the transactions after the implementation of the AIDCS.Originality/valueFollowing the outbreak of COVID-19, this is a new attempt to overcome the limited research done on the integration of IoT and AI techniques in the domestic care service. This study not only inherits the ability of the existing eHealth system to automatically capture and monitor the health status of the elderly in real-time but also improves the overall quality of domestic care services in term of responsiveness, effectiveness and efficiency.

Norway

2019 ◽  
pp. 211-218
Author(s):  
Knut Engedal
Keyword(s):  
Quality Of Life ◽  
Health Services ◽  
Welfare State ◽  
Family Caregivers ◽  
Residential Care ◽  
Healthcare Professionals ◽  
Tax System ◽  
People With Dementia ◽  
At Home

Norway has 5 million inhabitants, of whom 200,000 are aged above 80 years. The country is a welfare state, with a tax system covering most health services for its citizens. It is estimated that 78,000 people in Norway suffer from dementia, of whom 60% live at home and the remainder in residential care. In 2007, the first National Dementia Plan was launched (2007–2015), and the second in 2016 (2016–2020). The main goals of the two Plans are to develop services across the country to improve the care and quality of life for all people with dementia and their family caregivers, as well as increase the knowledge of dementia among healthcare professionals. In addition, the Plans also aim to improve awareness of dementia in society as a whole and to develop and implement measures to help create a more dementia-friendly society.

Quality of life and the associated factors among family caregivers of older people with dementia in Thailand

2020 ◽  
Vol 22 (4) ◽  
pp. 913-920
Author(s):  
Linchong Pothiban ◽  
Chomphoonut Srirat ◽  
Nahathai Wongpakaran ◽  
Orawan Pankong
Keyword(s):  
Quality Of Life ◽  
Older People ◽  
Family Caregivers ◽  
Associated Factors ◽  
People With Dementia

Quality of life in dementia: the role of non-cognitive factors in the ratings of people with dementia and family caregivers

2013 ◽  
Vol 25 (7) ◽  
pp. 1097-1105 ◽  
Author(s):  
Maria Fernanda Barroso Sousa ◽  
Raquel Luiza Santos ◽  
Cynthia Arcoverde ◽  
Pedro Simões ◽  
Tatiana Belfort ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Depressive Symptoms ◽  
Family Caregivers ◽  
Linear Regression Analysis ◽  
Cognitive Factors ◽  
People With Dementia ◽  
Significant Difference

ABSTRACTBackground: The validity of self-reported quality-of-life (QoL) assessments of people with dementia (PWD) is a critical issue. We designed this study to determine the non-cognitive factors that are associated with self-reported QoL and PWD QoL as rated by family caregivers.Methods: Using a cross-sectional study, we assessed QoL of 41 people with mild Alzheimer's disease (AD). The individuals with AD and their family caregivers completed the Quality of Life in Alzheimer's Disease Scale (QoL-AD), the Assessment Scale of Psychosocial Impact of the Diagnosis of Dementia (ASPIDD), the Mini-Mental State Examination (MMSE), the Clinical Dementia Rating (CDR) scale, the Cornell Scale for Depression in Dementia (CSDD), the Pfeffer Functional Activities Questionnaire (FAQ), and the Zarit Burden Interview (ZBI). Univariate and multivariate regression analyses were conducted to examine the contribution of the various cofactors.Results: We observed a significant difference (t = 3.292, p < 0.01, d = 0.727) in the QoL measures of PWD after comparing self-reported assessments with the assessments of family caregivers. Linear regression analysis demonstrated that awareness of disease was related to PWD QoL-AD scores. Both the education levels of family caregivers and the depressive symptoms in PWD were related to the family caregivers’ ratings of PWD QoL.Conclusions: The difference between self-reported QoL and family caregivers’ ratings of QoL in people with mild dementia indicated that cognitive impairment was not the primary factor that accounted for the differences in the QoL assessments. Our findings suggested that non-cognitive factors, such as awareness of disease and depressive symptoms, played an important role in the differences between the self-reported AD QoL ratings and the caregivers’ AD QoL ratings. A major implication is that discrete measures such as cognition or level of function are likely to miss important factors that influence QoL.

Design and Development of a Wireless Fall Detection Module for Homecare

2014 ◽  
Author(s):  
Paul C.-P. Chao ◽  
Li-Chi Hsu ◽  
Yu-Feng Li ◽  
Chin-Wei Chun
Keyword(s):  
Real Time ◽  
Fall Detection ◽  
The Elderly ◽  
Design And Development ◽  
Aging Society ◽  
Common Trend ◽  
Remote Hospital ◽  
Senior Population ◽  
Time Fall ◽  
Elderly Falls

A novel wireless circuit module is designed in this study to perform ubiquitous fall detections and then real-time fall detections of help messages. It is a common trend that as the demand for living quality increases tremendously while the technologies of electronics and medicine advances greatly, personal cares are elevated to the next level. As for the aging society, the issue of injuries due to falls among senior population arises rapidly [1,2]. Costly prices are often paid as the elderly falls without notice from companions at the site. Therefore, various modules and/or systems of automatic and wireless fall detection are developed into a past pace. Such fall-detection modules are demanded to be able to automatically detect falls of subjects and then send the help message to a remote hospital for an immediate help.

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