Sensor Assessment of Time in Bed on Caregiver Burden for Person Living with Cognitive Impairment

Bahareh Chimehi,Julien Larivière-Chartier,Bruce Wallace, Zachary Beattie,Laura Ault,Lyndsey Miller, Joel Steele, Neil Thomas

2024 IEEE International Symposium on Medical Measurements and Applications (MeMeA)(2024)

引用 0|浏览0
暂无评分
摘要
Alzheimer's disease presents a significant societal challenge, with a projected surge in prevalence amid global population aging. Sleep disturbances, affecting 60-70% of those with dementia, emerge as a crucial factor influencing care burden. This study employs sensor technology fusion to explore sleep patterns in the context of caregiver burden using data from studies employing the Oregon Center for Aging & Technology (ORCATECH) technology platform. Utilizing data on sleep measures from the EMFIT bed sensor and comparing it to the results from Zarit Burden Interview questionnaires, the research analyzes the variance in separate and overlapping time in bed for 47 dyads consisting of caregivers and individuals with cognitive impairment. The investigation leverages longitudinal clinical and home sensor data from ORCATECH studies, offering a detailed understanding of the relationship between sleep patterns and caregiver burden. Graphical representations illustrate differences in bedtime and waking times, revealing diverse dynamics in homes with varying burden scores. Findings highlight the need for personalized caregiving approaches, considering the multifaceted impact of sleep on both caregivers and person living with cognitive impairment. The study contributes to the broader understanding of dementia care challenges, emphasizing the importance of tailored interventions based on comprehensive sleep pattern analysis. This comprehensive analysis sheds light on the complex relation between sleep, caregiving, and dementia, providing valuable insights for researchers, caregivers, and healthcare practitioners. The findings underscore the significance of addressing sleep disturbances in dementia care and set the stage for further research to refine models and explore additional factors influencing caregiver burden. As the global prevalence of dementia continues to rise, understanding and addressing the complexities of sleep patterns become necessary for enhancing the quality of life for both caregivers and person living with cognitive impairment.
更多
查看译文
关键词
Dementia,person living with cognitive impairment (PWCI),Family caregiver burden,Sensor Fusion,Cognitive decline,ZBIscore
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要