MEMO_Calendring: A smart reminder for Alzheimer's disease patients

Ghorbel, Fatma; Ellouze, Nebrasse; Métais, Elisabeth; Hamdi, Fayçal; Gargouri, Faı̈ez

doi:10.1109/sm2c.2017.8071848

Cited by 5 publications

(5 citation statements)

References 11 publications

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“…2) E-Health E-health describes the use of digital technologies, including online platforms, mobile apps, and electronic health records, to give persons with AD access to health services and support. The following sources have made noteworthy contributions to the 46 articles that make up this survey: [9], [32], [33], and [17]. These sources explicitly address the application and developments of e-health technology in the context of AD care.…”

Section: ) Telemedicinementioning

confidence: 99%

“…Technology-enabled caregivers NA Reliance on limited assessment tools [17] (2017) Provide additional helpful information about scheduled events in a user-friendly and enjoyable manner.…”

Section: ) Telemedicinementioning

confidence: 99%

“…In [17], Ghorbel et al, aimed to provide additional helpful information about scheduled events in a user-friendly and enjoyable manner. They utilized a semantic web application called CAPTAIN MEMO based on the OntoMemo dynamic ontology.…”

Section: ) Telemedicinementioning

confidence: 99%

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ICT-Based Solutions for Alzheimer’s Disease Care: A Systematic Review

Ali,

Turetta,

Demrozi

et al. 2024

IEEE Access

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In recent years, there has been a growing recognition of the significant challenges posed by Alzheimer's Disease (AD) and the need for innovative solutions to improve the quality of life for affected individuals. As AD prevalence continues to rise, technological advancements offer promising opportunities to address the multifaceted needs of patients and caregivers. This survey paper thoroughly investigates technological innovations in AD care, offering valuable insights into cutting-edge approaches that have the potential to positively impact the lives of affected individuals. By providing a holistic view of available assistive solutions, we review 2459 papers and select 46 relevant studies published between 2015 and 2023, specifically focusing on healthcare technologies and solutions, and utilized sensing methods. The former will include Telemedicine, E-Health, Smart Environment, Internet of Things (IoT), Ambient Assisted Living (AAL), Internet of Medical Things (IoMT), and Personalized Assistive Solutions (PAS), while the latter encompasses Wearable/Environmental, Radio/Audio, Video/Image, and Digital Platforms. Our comparative assessment of recent survey papers reveals the unique contribution of this study, as it comprehensively examines the intersection of multiple parameters. By summarizing insights from these studies, we identify gaps and recommend future directions for advancements in AD care.INDEX TERMS Ambient Assisted Living (AAL), Alzheimer's disease (AD), Internet of Medical Things (IoMT), Internet of Things (IoT), Systematic Literature review, Personalized Assistive Solutions.

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Section: ) Telemedicinementioning

confidence: 99%

“…Technology-enabled caregivers NA Reliance on limited assessment tools [17] (2017) Provide additional helpful information about scheduled events in a user-friendly and enjoyable manner.…”

Section: ) Telemedicinementioning

confidence: 99%

See 1 more Smart Citation

ICT-Based Solutions for Alzheimer’s Disease Care: A Systematic Review

Ali,

Turetta,

Demrozi

et al. 2024

IEEE Access

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“…To estimate the momentary memory capabilities, we propose a metric called "state of the moment score". To determine it, we use our earlier work [62]. It is a "Question and Answer" training, named "Autobiographical Training", which aims to refresh the patient's memory.…”

Section: Alzheimer's Patient Reliability Estimationmentioning

confidence: 99%

Handling data imperfection—False data inputs in applications for Alzheimer’s patients

Ghorbel

Hamdi

Achich

et al. 2020

Data & Knowledge Engineering

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“…Due to a decline in their cognitive, perceptual, and motor abilities, older adults experience difficulties in reading small-sized text, matching icons with functions, controlling dragging speed and balance, and typing (Chang et al, 2014; Leonardi et al, 2010; Sonderegger et al, 2016). Older adults with hand-eye coordination issues may face difficulties in tapping small buttons (Ghorbel et al, 2017). Icon plays an important role in interacting with apps, and small icon sizes lead to more errors for older adults.…”

Section: Introductionmentioning

confidence: 99%

Designing Combinations of Pictogram and Text Size for Icons: Effects of Text Size, Pictogram Size, and Familiarity on Older Adults’ Visual Search Performance

Hou

2021

Hum Factors

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Objective This study aimed to determine suitable combinations of text and pictogram sizes for older adults and investigated the visual prioritization of pictogram versus text. Background Icons have become an indispensable part of application (app) design. Pictogram size and text size of icons influence the usability of apps, especially by aged users. However, few studies have investigated the influences of different pictogram and text size combinations on readability, legibility, and visual search performance for older adults. Method This study used eye-tracking technology to investigate the effects of different pictogram and text size combinations as well as familiarity on readability, legibility, and visual search performance for older adults. A 3 (pictogram size) × 3 (text size) × 2 (familiarity) repeated-measures experimental design was used. Results The results of this study suggest that pictogram size and text size significantly affect visual search performance and that familiarity moderates the effect of text size on distribution of fixation duration proportion for text and pictograms. Conclusion Large pictogram and text sizes improved the readability and legibility of icons for older adults. Furthermore, the older adults fixated the area of text prior to pictograms when the pictogram size was larger than 72 × 72 px (1.38° × 1.38°) in the visual search task. Application The results of this study suggest using different combinations of pictogram and text sizes for older adults under different scenarios. The findings of this study act as practical support for designers and developers of mobile apps for older adults.

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MEMO_Calendring: A smart reminder for Alzheimer's disease patients

Cited by 5 publications

References 11 publications

ICT-Based Solutions for Alzheimer’s Disease Care: A Systematic Review

ICT-Based Solutions for Alzheimer’s Disease Care: A Systematic Review

Handling data imperfection—False data inputs in applications for Alzheimer’s patients

Designing Combinations of Pictogram and Text Size for Icons: Effects of Text Size, Pictogram Size, and Familiarity on Older Adults’ Visual Search Performance

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