A survey on sleep assessment methods

PeerJ, Год журнала: 2018, Номер 6, С. e4849 - e4849

Опубликована: Май 25, 2018

A literature review is presented that aims to summarize and compare current methods evaluate sleep.Current sleep assessment have been classified according different criteria; e.g., objective (polysomnography, actigraphy…) vs. subjective (sleep questionnaires, diaries…), contact contactless devices, need for medical assistance self-assessment. comparison of validation studies carried out each method, identifying their sensitivity specificity reported in the literature. Finally, state market has also reviewed with respect customers' opinions about apps.A taxonomy classifies detection methods. description method includes tendencies underlying technologies analyzed accordance terms precision existing reports.In order accuracy, may be arranged as follows: Questionnaire < Sleep diary Contactless devices Contact PolysomnographyA suggests present a between 73% 97.7%, while ranges interval 50%-96%. Objective such actigraphy sensibility higher than 90%. However, low compared sensitivity, being one limitations technology. Moreover, there are other factors, patient's perception her or his sleep, can provided only by Therefore, should combined produce synergy The indicates most valued apps, but it identifies problems gaps, many hardware not validated (especially software apps) studied before clinical use.

Язык: Английский

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The Dreem Headband compared to polysomnography for electroencephalographic signal acquisition and sleep staging

SLEEP, Год журнала: 2020, Номер 43(11)

Опубликована: Май 20, 2020

Abstract Study Objectives The development of ambulatory technologies capable monitoring brain activity during sleep longitudinally is critical for advancing science. aim this study was to assess the signal acquisition and performance automatic staging algorithms a reduced-montage dry-electroencephalographic (EEG) device (Dreem headband, DH) compared gold-standard polysomnography (PSG) scored by five experts. Methods A total 25 subjects who completed an overnight at center while wearing both PSG DH simultaneously have been included in analysis. We assessed (1) similarity measured EEG waves between PSG; (2) heart rate, breathing frequency, respiration rate variability (RRV) agreement (3) DH’s according American Academy Sleep Medicine guidelines versus experts manual scoring. Results mean percentage error signals acquired those from α 15 ± 3.5%, 16 4.3% β, 6.1% λ, 10 1.4% θ frequencies sleep. absolute RRV 1.2 0.5 bpm, 0.3 0.2 cpm, 3.2 0.6%, respectively. Automatic reached overall accuracy 83.5 6.4% (F1 score: 83.8 6.3) be with average 86.4 8.0% 86.3 7.4) 5 Conclusions These results demonstrate capacity monitor sleep-related physiological process them accurately into stages. This paves way for, large-scale, longitudinal studies. Clinical Trial Registration NCT03725943.

Язык: Английский

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The 24-Hour Activity Cycle: A New Paradigm for Physical Activity

Medicine & Science in Sports & Exercise, Год журнала: 2018, Номер 51(3), С. 454 - 464

Опубликована: Окт. 18, 2018

ABSTRACT The physiologic mechanisms by which the four activities of sleep, sedentary behavior, light-intensity physical activity, and moderate-to-vigorous activity (MVPA) affect health are related, but these relationships have not been well explored in adults. Research studies commonly evaluated how time spent one affects health. Because can only increase decreasing another, such cannot determine extent that a benefit is due to versus reallocating among other activities. For example, interventions improve sleep possibly also MVPA. If so, overall effect on risk premature mortality both more MVPA better sleep. Further, potential for interaction between outcomes largely unexplored. there threshold minutes per day, above adverse effects behavior eliminated? This article considers 24-h Activity Cycle (24-HAC) model as paradigm exploring inter-relatedness It discusses measure each activities, analytical statistical challenges analyzing data based model, including inevitable challenge confounding usefulness this described reviewing selected research findings aided creation discussing future applications 24-HAC model.

Язык: Английский

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Wearable sensors for monitoring the internal and external workload of the athlete

npj Digital Medicine, Год журнала: 2019, Номер 2(1)

Опубликована: Июль 29, 2019

Abstract The convergence of semiconductor technology, physiology, and predictive health analytics from wearable devices has advanced its clinical translational utility for sports. detection subsequent application metrics pertinent to indicative the physical performance, physiological status, biochemical composition, mental alertness athlete been shown reduce risk injuries improve performance enabled development athlete-centered protocols treatment plans by team physicians trainers. Our discussions in this review include commercially available devices, as well those described scientific literature provide an understanding sensors sports medicine. primary objective paper is a comprehensive applications technology assessing biomechanical parameters athlete. A secondary identify collaborative research opportunities among academic groups, medicine clinics, programs further assist return-to-play athletes across various sporting domains. companion discusses use wearables monitor profile acuity

Язык: Английский

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The Sleep of the Ring: Comparison of the ŌURA Sleep Tracker Against Polysomnography

Behavioral Sleep Medicine, Год журнала: 2017, Номер 17(2), С. 124 - 136

Опубликована: Март 21, 2017

Objective/Background: To evaluate the performance of a multisensor sleep-tracker (ŌURA ring) against polysomnography (PSG) in measuring sleep and stages. Participants: Forty-one healthy adolescents young adults (13 females; Age: 17.2 ± 2.4 years). Methods: Sleep data were recorded using ŌURA ring standard PSG on single laboratory overnight. Metrics compared Bland-Altman plots epoch-by-epoch (EBE) analysis. Results: Summary variables for onset latency (SOL), total time (TST), wake after (WASO) not different between PSG. PSG-ŌURA discrepancies WASO greater participants with more PSG-defined (p < .001). Compared PSG, underestimated N3 (~20 min) overestimated REM (~17 min; p .05). differences TST lay within ≤ 30 min a-priori-set clinically satisfactory ranges 87.8% 85.4% sample, respectively. From EBE analysis, had 96% sensitivity to detect sleep, agreement 65%, 51%, 61%, detecting "light sleep" (N1), "deep (N2 + N3), Specificity was 48%. Similarly PSG-N3 .001), detected negatively correlated advancing age = correctly categorized 90.9%, 81.3%, 92.9% into 6 hr, 6–7 > 7 Conclusions: Multisensor trackers, such as have potential outcomes beyond binary sleep–wake sources information addition motion. While these first results could be viewed promising, future development validation are needed.

Язык: Английский

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Comparison of Self-Reported Sleep Duration With Actigraphy: Results From the Hispanic Community Health Study/Study of Latinos Sueño Ancillary Study

American Journal of Epidemiology, Год журнала: 2016, Номер 183(6), С. 561 - 573

Опубликована: Март 2, 2016

Most studies of sleep and health outcomes rely on self-reported duration, although correlation with objective measures is poor. In this study, we defined sociodemographic characteristics associated misreporting assessed whether accounting for these factors better explains variation in duration among 2,086 participants the Hispanic Community Health Study/Study Latinos who completed more than 5 nights wrist actigraphy reported habitual bed/wake times from 2010 to 2013. Using linear regression, examined self-report as a predictor actigraphy-assessed duration. Mean amount time spent asleep was 7.85 (standard deviation, 1.12) hours by 6.74 1.02) actigraphy; between them 0.43. For each additional hour sleep, increased 20 minutes (95% confidence interval: 19, 22). Correlations were lower male sex, younger age, efficiency <85%, night-to-night variability ≥1.5 hours. Adding self-reports proportion variance explained slightly (18%-32%). large validation study including Hispanics/Latinos, demonstrated moderate asleep. The performance varied demographic but not subgroup.

Язык: Английский

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Sleep stage prediction with raw acceleration and photoplethysmography heart rate data derived from a consumer wearable device

SLEEP, Год журнала: 2019, Номер 42(12)

Опубликована: Авг. 13, 2019

Abstract Wearable, multisensor, consumer devices that estimate sleep are now commonplace, but the algorithms used by these to score not open source, and raw sensor data is rarely accessible for external use. As a result, limited in their usefulness clinical research applications, despite holding much promise. We mobile application of our own creation collect acceleration heart rate from Apple Watch worn participants undergoing polysomnography, as well during ambulatory period preceding lab testing. Using this data, we compared contributions multiple features (motion, local standard deviation rate, “clock proxy”) performance across several classifiers. Best was achieved using neural nets, though differences classifiers were generally small. For sleep-wake classification, method scored 90% epochs correctly, with 59.6% true wake (specificity) 93% (sensitivity) correctly. Accuracy differentiating wake, NREM sleep, REM approximately 72% when all used. generalized results testing models trained on Multi-ethnic Study Atherosclerosis (MESA), found able predict comparable dataset. This study demonstrates, first time, ability analyze ubiquitous wearable device accepted, disclosed mathematical methods improve accuracy stage prediction.

Язык: Английский

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Performance of Four Commercial Wearable Sleep-Tracking Devices Tested Under Unrestricted Conditions at Home in Healthy Young Adults

Nature and Science of Sleep, Год журнала: 2022, Номер Volume 14, С. 493 - 516

Опубликована: Март 1, 2022

Commercial wearable sleep-tracking devices are growing in popularity and recent studies have performed well against gold standard sleep measurement techniques. However, most were conducted controlled laboratory conditions. We therefore aimed to test the performance of under naturalistic unrestricted home conditions.Healthy young adults (n = 21; 12 women, 9 men; 29.0 ± 5.0 years, mean SD) slept at conditions for 1 week using a set commercial completed daily diaries. Devices included Fatigue Science Readiband, Fitbit Inspire HR, Oura ring, Polar Vantage V Titan. Participants also wore research-grade actigraphy watch (Philips Respironics Actiwatch 2) comparison. To assess performance, all compared with high performing mobile electroencephalography headband device (Dreem 2). Analyses epoch-by-epoch summary agreement comparisons.Devices accurately tracked sleep-wake metrics (ie, time bed, total time, efficiency, latency, wake after onset) on nights but best higher efficiency. Epoch-by-epoch sensitivity (for sleep) specificity wake), respectively, as follows: (0.95, 0.35), (0.94, 0.40), (0.93, 0.45), 0.41), (0.96, 0.35). Sleep stage-tracking was mixed, variability.As previous studies, better detecting than wake, favorably detection. more consolidated patterns. Unrestricted TIB differences nights. High variability suggests that these devices, their current form, still utilized tracking outcomes not stages. Most wearables exhibited promising real-world conditions, further supporting consideration an alternative actigraphy.

Язык: Английский

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Evaluating reliability in wearable devices for sleep staging

npj Digital Medicine, Год журнала: 2024, Номер 7(1)

Опубликована: Март 18, 2024

Abstract Sleep is crucial for physical and mental health, but traditional sleep quality assessment methods have limitations. This scoping review analyzes 35 articles from the past decade, evaluating 62 wearable setups with varying sensors, algorithms, features. Our analysis indicates a trend towards combining accelerometer photoplethysmography (PPG) data out-of-lab staging. Devices using only are effective sleep/wake detection fall short in identifying multiple stages, unlike those incorporating PPG signals. To enhance reliability of staging wearables, we propose five recommendations: (1) Algorithm validation equity, diversity, inclusion considerations, (2) Comparative performance commercial algorithms across (3) Exploration feature impacts on algorithm accuracy, (4) Consistent reporting metrics objective assessment, (5) Encouragement open-source classifier availability. Implementing these recommendations can improve accuracy solidifying their value research clinical settings.

Язык: Английский

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Reproducibility of a Standardized Actigraphy Scoring Algorithm for Sleep in a US Hispanic/Latino Population

SLEEP, Год журнала: 2015, Номер 38(9), С. 1497 - 1503

Опубликована: Авг. 31, 2015

While actigraphy is considered objective, the process of setting rest intervals to calculate sleep variables subjective. We sought evaluate reproducibility actigraphy-derived measures using a standardized algorithm for intervals.Observational study.Community-based.A random sample 50 adults aged 18-64 years free severe apnea participating in Sueño ancillary study Hispanic Community Health Study/Study Latinos.N/A.Participants underwent 7 days continuous wrist and completed daily diaries. Studies were scored twice by each two scorers. Rest set hierarchical approach based on event marker, diary, light, activity data. Sleep/wake status was then determined 30-sec epoch validated algorithm, this used generate 11 variables: mean nightly duration, nap 24-h latency, maintenance efficiency, fragmentation index, onset time, offset midpoint standard deviation midpoint. Intra-scorer intraclass correlation coefficients (ICCs) high, ranging from 0.911 0.995 across all variables. Similarly, inter-scorer ICCs also 0.995, differences small. Bland-Altman plots did not reveal any systematic disagreement scoring.With use intervals, scoring purpose generating wide array highly reproducible.

Язык: Английский

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