Personal Assistance for Alzheimer’s Patient

Devi, S. Kalpana; Amirthavarshini, D; Anbukani, RS; Ranjanni, S Bhavatha

doi:10.1109/icccsp49186.2020.9315250

Cited by 6 publications

(6 citation statements)

References 21 publications

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“…Stages of Alzheimer's disease [5] Figure 2. Symptoms of Alzheimer's patient [7] Memory impairment is one of the most noticeable and early symptoms of AD. Even normal and familiar tasks might become difficult for persons with AD.…”

Section: Journal Of Electronics and Electrical Engineeringmentioning

confidence: 99%

“…Language abilities can be negatively impacted by Alzheimer's, making it harder to grasp written or spoken language, follow discussions, or locate the appropriate words. They might display bad judgement, misplace things, struggle to stick to a schedule or finish chores that require multiple steps, lose their independence, and struggle to make decisions [7]. Enhancing the standard of living and encouraging selfsufficiency in those with disabilities can be greatly aided by an IoT-based support system.…”

Section: Journal Of Electronics and Electrical Engineeringmentioning

confidence: 99%

“…A list of people the patient has met is reminded of them. This aids the sufferer in getting over their difficulty identifying others [7].…”

Section: Literature Surveymentioning

confidence: 99%

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Alzheimer's Patient Support System Based on IoT and ML

Kumar,

Sasi,

Murali

2024

J. Electron. Electric. Eng.

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Alzheimer's disease poses significant challenges as it progressively erodes memory and identity, severely impacting daily functioning. Patients often experience disorientation, wandering, and are at risk of falls, leading to heightened concerns for caregivers. These difficulties can result in a loss of independence and increased caregiver burden. In response to these challenges, this study introduces an innovative assistive system designed to enhance the safety and quality of life for Alzheimer's patients. The system comprises of two main components: a smart arm band and a facial recognition system. The smart arm band is equipped with a suite of sensors including GPS, accelerometer, and heart rate sensor. These sensors enable real-time monitoring of the patient's location, movement, and physiological parameters. By leveraging these data streams, caregivers can track the patient's activities, detect falls or emergencies, and provide timely assistance when needed. The facial recognition system employs state-of-the-art machine learning techniques, specifically the CAFFE and Local Binary Patterns Histograms (LBPH), to recognize familiar faces in the patient's environment. This capability promotes social interaction and enhances the patient's sense of familiarity and security. Through rigorous testing, the facial recognition system achieves an impressive accuracy of 97% with a low error rate of 3%, validating its effectiveness in real-world scenarios. Overall, the integrative assistive system presented in this study offers a promising solution to address the multifaceted challenges associated with Alzheimer's disease. This system provides caregivers with invaluable support in ensuring the safety and well-being of Alzheimer's patients while fostering social engagement and autonomy.

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Section: Journal Of Electronics and Electrical Engineeringmentioning

confidence: 99%

Section: Journal Of Electronics and Electrical Engineeringmentioning

confidence: 99%

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Alzheimer's Patient Support System Based on IoT and ML

Kumar,

Sasi,

Murali

2024

J. Electron. Electric. Eng.

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“…In this survey, we have identified significant contributions from a variety of sources that examine the use and progress of PAS for AD care. Notable studies include by [14], [62], [16], [63], [64] and [65]. Table 10 summarizes key aspects of these articles.…”

Section: ) Personalized Assistive Solutionsmentioning

confidence: 99%

“…These technologies support remote assessment and comprehensive care. • Finally, digital platforms [16] [17] such as mobile apps, web portals, and questionnaires play a crucial role, offering convenient tracking and management tools, centralized information sharing, and remote cognitive assessments for AD caregivers and patients.…”

Section: Introductionmentioning

confidence: 99%

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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