Accuracy of 11 Wearable, Nearable, and Airable Consumer Sleep Trackers: Prospective Multicenter Validation Study DOI Creative Commons
Taeyoung Lee, Younghoon Cho, Kwang Su

и другие.

JMIR mhealth and uhealth, Год журнала: 2023, Номер 11, С. e50983 - e50983

Опубликована: Сен. 20, 2023

Background Consumer sleep trackers (CSTs) have gained significant popularity because they enable individuals to conveniently monitor and analyze their sleep. However, limited studies comprehensively validated the performance of widely used CSTs. Our study therefore investigated popular CSTs based on various biosignals algorithms by assessing agreement with polysomnography. Objective This aimed validate accuracy types through a comparison in-lab Additionally, including conducting multicenter large sample size, this seeks provide comprehensive insights into applicability these for monitoring in hospital environment. Methods The analyzed 11 commercially available CSTs, 5 wearables (Google Pixel Watch, Galaxy Watch 5, Fitbit Sense 2, Apple 8, Oura Ring 3), 3 nearables (Withings Sleep Tracking Mat, Google Nest Hub Amazon Halo Rise), airables (SleepRoutine, SleepScore, Pillow). were divided 2 groups, ensuring maximum inclusion while avoiding interference between within each group. Each group (comprising 8 CSTs) was also compared via Results enrolled 75 participants from tertiary primary sleep-specialized clinic Korea. Across centers, we collected total 3890 hours sessions along 543 polysomnography recordings. CST recording covered an average 353 hours. We 349,114 epochs polysomnography, where epoch-by-epoch stage classification showed substantial variation. More specifically, highest macro F1 score 0.69, lowest 0.26. Various exhibited diverse performances across stages, SleepRoutine excelling wake rapid eye movement like showing superiority deep stage. There distinct trend measure estimation according type device. Wearables high proportional bias efficiency, latency. Subgroup analyses revealed variations scores factors, such as BMI, apnea-hypopnea index, differences male female subgroups minimal. Conclusions that among examined, specific indicating potential application monitoring, other partially consistent offers strengths different classes interested wellness who wish understand proactively manage own

Язык: Английский

Pre-symptomatic detection of COVID-19 from smartwatch data DOI Creative Commons
Tejaswini Mishra, Meng Wang, Ahmed A. Metwally

и другие.

Nature Biomedical Engineering, Год журнала: 2020, Номер 4(12), С. 1208 - 1220

Опубликована: Ноя. 18, 2020

Язык: Английский

Процитировано

411

Performance of seven consumer sleep-tracking devices compared with polysomnography DOI Creative Commons
Evan D. Chinoy,

Joseph Cuellar,

Kirbie E Huwa

и другие.

SLEEP, Год журнала: 2020, Номер 44(5)

Опубликована: Дек. 30, 2020

Consumer sleep-tracking devices are widely used and becoming more technologically advanced, creating strong interest from researchers clinicians for their possible use as alternatives to standard actigraphy. We, therefore, tested the performance of many latest consumer devices, alongside actigraphy, versus gold-standard sleep assessment technique, polysomnography (PSG).In total, 34 healthy young adults (22 women; 28.1 ± 3.9 years, mean SD) were on three consecutive nights (including a disrupted condition) in laboratory with PSG, along actigraphy (Philips Respironics Actiwatch 2) subset devices. Altogether, four wearable (Fatigue Science Readiband, Fitbit Alta HR, Garmin Fenix 5S, Vivosmart 3) nonwearable (EarlySense Live, ResMed S+, SleepScore Max) tested. Sleep/wake summary epoch-by-epoch agreement measures compared PSG.Most EarlySense performed well or better than sleep/wake measures, while worse. Overall, sensitivity was high (all ≥0.93), specificity low-to-medium (0.18-0.54), stage comparisons mixed, tended perform worse poorer/disrupted sleep.Consumer exhibited detecting sleep, most equivalent (or than) wake. Device assessments inconsistent. Findings indicate that newer demonstrate promising tracking Devices should be different populations settings further examine wider validity utility.

Язык: Английский

Процитировано

307

Insomnia DOI

Eliza L. Sutton

Annals of Internal Medicine, Год журнала: 2021, Номер 174(3), С. ITC33 - ITC48

Опубликована: Март 1, 2021

Insomnia-the unwelcome experience of difficulty sleeping-is common and can be acute, intermittent, or chronic. Insomnia the presenting symptom for several sleep disorders, but it also often occurs comorbidly with mental physical health conditions. Evaluating insomnia requires assessing-largely by history-whether an underlying condition explains it. disorder is diagnostic term that merits specific attention. Cognitive behavioral therapy preferred treatment approach because its efficacy, safety, durability benefit, pharmaceutical treatments are widely used symptoms.

Язык: Английский

Процитировано

172

The Promise of Sleep: A Multi-Sensor Approach for Accurate Sleep Stage Detection Using the Oura Ring DOI Creative Commons
Marco Altini, Hannu Kinnunen

Sensors, Год журнала: 2021, Номер 21(13), С. 4302 - 4302

Опубликована: Июнь 23, 2021

Consumer-grade sleep trackers represent a promising tool for large scale studies and health management. However, the potential limitations of these devices remain less well quantified. Addressing this issue, we aim at providing comprehensive analysis impact accelerometer, autonomic nervous system (ANS)-mediated peripheral signals, circadian features stage detection on dataset. Four hundred forty nights from 106 individuals, total 3444 h combined polysomnography (PSG) physiological data wearable ring, were acquired. Features extracted to investigate relative different streams 2-stage (sleep wake) 4-stage classification accuracy (light NREM sleep, deep REM wake). Machine learning models evaluated using 5-fold cross-validation standardized framework assessment. Accuracy (sleep, was 94% simple accelerometer-based model 96% full that included ANS-derived features. 57% 79% when including Combining compact form factor finger multidimensional biometric sensory streams, machine learning, high wake-sleep staging can be accomplished.

Язык: Английский

Процитировано

131

A Systematic Review of Sensing Technologies for Wearable Sleep Staging DOI Creative Commons
Syed Anas Imtiaz

Sensors, Год журнала: 2021, Номер 21(5), С. 1562 - 1562

Опубликована: Фев. 24, 2021

Designing wearable systems for sleep detection and staging is extremely challenging due to the numerous constraints associated with sensing, usability, accuracy, regulatory requirements. Several researchers have explored use of signals from a subset sensors that are used in polysomnography (PSG), whereas others demonstrated feasibility using alternative sensing modalities. In this paper, systematic review different modalities been presented. Based on 90 papers, 13 identified. Each modality identify can be obtained it, stages reliably identified, classification accuracy methods modality, as well usability sensor system. It concludes two most common those based electroencephalography (EEG) photoplethysmography (PPG). EEG-based accurate, EEG being only capable identifying all sleep. PPG-based much simpler better suited monitoring but unable stages.

Язык: Английский

Процитировано

127

Performance of Four Commercial Wearable Sleep-Tracking Devices Tested Under Unrestricted Conditions at Home in Healthy Young Adults DOI Creative Commons
Evan D. Chinoy,

Joseph Cuellar,

Jason Jameson

и другие.

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

Процитировано

82

Obstructive sleep apnea: transition from pathophysiology to an integrative disease model DOI
Walter T. McNicholas, Dirk Pevernagie

Journal of Sleep Research, Год журнала: 2022, Номер 31(4)

Опубликована: Май 24, 2022

Summary Obstructive sleep apnea (OSA) is characterised by recurring episodes of upper airway obstruction during and the fundamental abnormality reflects inability dilating muscles to withstand negative forces generated within inspiration. Factors that result in narrowing oropharynx such as abnormal craniofacial anatomy, soft tissue accumulation neck, rostral fluid shift recumbent position increase collapsing airway. The counteracting muscles, especially genioglossus, are negatively influenced onset, inadequacy genioglossus responsiveness, ventilatory instability, post arousal, loop gain. OSA frequently associated with comorbidities include metabolic, cardiovascular, renal, pulmonary, neuropsychiatric, there growing evidence bidirectional relationships between comorbidity, for heart failure, metabolic syndrome, stroke. A detailed understanding complex pathophysiology encourages development therapies targeted at pathophysiological endotypes facilitates a move towards precision medicine potential alternative continuous positive pressure therapy selected patients.

Язык: Английский

Процитировано

75

State of the science and recommendations for using wearable technology in sleep and circadian research DOI
Massimiliano de Zambotti, Cathy Goldstein, Jesse D. Cook

и другие.

SLEEP, Год журнала: 2023, Номер 47(4)

Опубликована: Дек. 24, 2023

Wearable sleep-tracking technology is of growing use in the sleep and circadian fields, including for applications across other disciplines, inclusive a variety disease states. Patients increasingly present data derived from their wearable devices to providers ever-increasing availability commercial new-generation research/clinical tools has led wide adoption wearables research, which become even more relevant given discontinuation Philips Respironics Actiwatch. Standards evaluating performance have been introduced available evidence suggests that consumer-grade exceed traditional actigraphy assessing as defined by polysomnogram. However, clear limitations exist, example, misclassification wakefulness during period, problems with tracking outside main bout or nighttime artifacts, unclear translation individuals certain characteristics comorbidities. This particular relevance when person-specific factors (like skin color obesity) negatively impact sensor potential downstream augmenting already existing healthcare disparities. holds great promise our field, features distinct such measurement autonomic parameters, estimation features, integrate self-reported, objective, passively recorded health indicators. Scientists face numerous decision points barriers incorporating actigraphy, multi-sensor devices, contemporary research/clinical-grade trackers into research. Considerations include device capabilities performance, target population goals study, outputs raw aggregate data, extraction, processing, analysis. Given difficulties implementation utilization real-world research clinical settings, following State Science review requested Sleep Research Society aims address questions. What can provide? How accurate are these data? should be taken account research? These outstanding questions surrounding considerations motivated this work, outlining practical recommendations using

Язык: Английский

Процитировано

55

Validity and reliability of the Oura Ring Generation 3 (Gen3) with Oura sleep staging algorithm 2.0 (OSSA 2.0) when compared to multi-night ambulatory polysomnography: A validation study of 96 participants and 421,045 epochs DOI Creative Commons
Thomas Svensson, Kaushalya Madhawa,

Hoang Nt

и другие.

Sleep Medicine, Год журнала: 2024, Номер 115, С. 251 - 263

Опубликована: Янв. 26, 2024

. To evaluate the validity and reliability of Oura Ring Generation 3 (Gen3) with Sleep Staging Algorithm 2.0 (OSSA 2.0) through multi-night polysomnography (PSG). Participants were 96 generally healthy Japanese men women aged between 20 70 years contributing 421,045 30-s epochs. scoring was performed according to American Academy Medicine criteria. Each participant could contribute a maximum three (PSG) nights. Within-participant means created for each sleep measure paired t-tests used compare equivalent measures obtained from PSG Rings (non-dominant dominant hand). Agreement assessed using Bland-Altman plots. Interrater epoch accuracy determined by prevalence-adjusted bias-adjusted kappa (PABAK). The did not significantly differ time in bed, total time, onset latency, period wake after onset, spent light sleep, deep sleep. worn on non-dominant- dominant-hand underestimated efficiency 1.1 %–1.5 % REM 4.1–5.6 min. had sensitivity 94.4 %–94.5 %, specificity 73.0 %–74.6 predictive value 95.9 %–96.1 66.6 %–67.0 91.7 %–91.8 %. PABAK 0.83–0.84 94.8 staging ranged 75.5 (light sleep) 90.6 (REM sleep). Gen3 OSSA shows good agreement global

Язык: Английский

Процитировано

19

Causal dynamics of sleep, circadian rhythm, and mood symptoms in patients with major depression and bipolar disorder: insights from longitudinal wearable device data DOI Creative Commons
Yun Min Song, Jaegwon Jeong, Aurelio A. de los Reyes V

и другие.

EBioMedicine, Год журнала: 2024, Номер 103, С. 105094 - 105094

Опубликована: Апрель 4, 2024

Sleep and circadian rhythm disruptions are common in patients with mood disorders. The intricate relationship between these has been investigated, but their causal dynamics remain unknown.

Язык: Английский

Процитировано

19