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Sleep quality prediction in caregivers using physiological signals.

ABSTRACT: Most caregivers of people with dementia (CPWD) experience a high degree of stress due to the demands of providing care, especially when addressing unpredictable behavioral and psychological symptoms of dementia. Such challenging responsibilities make caregivers susceptible to poor sleep quality with detrimental effects on their overall health. Hence, monitoring caregivers' sleep quality can provide important CPWD stress assessment. Most current sleep studies are based on polysomnography, which is expensive and potentially disrupts the caregiving routine. To address these issues, we propose a clinical decision support system to predict sleep quality based on trends of physiological signals in the deep sleep stage. This system utilizes four raw physiological signals using a wearable device (E4 wristband): heart rate variability, electrodermal activity, body movement, and skin temperature. To evaluate the performance of the proposed method, analyses were conducted on a two-week period of sleep monitored on eight CPWD. The best performance is achieved using the random forest classifier with an accuracy of 75% for sleep quality, and 73% for restfulness, respectively. We found that the most important features to detect these measures are sleep efficiency (ratio of amount of time asleep to the amount of time in bed) and skin temperature. The results from our sleep analysis system demonstrate the capability of using wearable sensors to measure sleep quality and restfulness in CPWD.

SUBMITTER: Sadeghi R

PROVIDER: S-EPMC6655554 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature

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Sleep quality prediction in caregivers using physiological signals.

Sadeghi Reza R Banerjee Tanvi T Hughes Jennifer C JC Lawhorne Larry W LW

Computers in biology and medicine 20190520

Most caregivers of people with dementia (CPWD) experience a high degree of stress due to the demands of providing care, especially when addressing unpredictable behavioral and psychological symptoms of dementia. Such challenging responsibilities make caregivers susceptible to poor sleep quality with detrimental effects on their overall health. Hence, monitoring caregivers' sleep quality can provide important CPWD stress assessment. Most current sleep studies are based on polysomnography, which i ...[more]

PMID: 31252369

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Project description:ImportanceIn the United States, 16 million family caregivers provide long-term care for patients with dementia. Although one's physical, mental, and cognitive health depends on sleep, many caregivers experience chronic stress, and stress is typically associated with worse sleep quantity and quality.ObjectiveTo quantify the extent, nature, and treatability of sleep problems in dementia caregivers.Data sourcesPubMed and Scopus databases were systematically searched for articles published through June 2018 using the following keywords: caregiver or spouse or caretaker AND sleep or circadian AND dementia or Alzheimer. Backward citation tracking was performed, and corresponding authors were contacted for additional data to conduct meta-analyses and pooled analyses.Study selectionTwo reviewers independently screened 805 studies to identify those that reported sleep duration or sleep quality in caregivers of patients with dementia.Data extraction and synthesisFollowing the PRISMA guidelines, 2 reviewers independently extracted data from all studies and conducted National Heart, Lung, and Blood Institute study quality assessments. Meta-analyses with random-effects models were performed to evaluate sleep duration, sleep quality, and sleep interventions in dementia caregivers.Main outcomes and measuresSleep quality and total sleep time were measured by polysomnography, actigraphy, and self-report.ResultsThirty-five studies were analyzed with data from 3268 caregivers (pooled mean age [SD of sample means], 63.48 [5.99] years; 76.7% female) were analyzed. Relative to age-matched control noncaregiver adults, caregivers had lower sleep durations akin to losing 2.42 to 3.50 hours each week (Hedges g?=?-0.29; 95% CI, -0.48 to -0.09; P?=?.01). Sleep quality was significantly lower in caregivers (Hedges g?=?-0.66; 95% CI, -0.89 to -0.42; P?<?.001), but caregivers who underwent sleep intervention trials had better sleep quality than caregivers who did not receive a sleep intervention (Hedges g?=?0.35; 95% CI, 0.20-0.49; P?<?.001).Conclusions and relevanceSleep debt is known to have cumulative associations with physical, mental, and cognitive health; therefore, poor sleep quality in dementia caregivers should be recognized and addressed. Although the caregiving role is stressful and cognitively demanding by its nature, better sleep quality was observed in caregivers who received low-cost behavioral interventions.

Dataset Information

Sleep quality prediction in caregivers using physiological signals.

Publications

Sleep quality prediction in caregivers using physiological signals.

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