Considerations for the Use of Commercial Wearables to Assess Sleep and Rest-Activity Rhythms DOI

Meghan M. Morrison,

Jemima Adisa,

Olivia Trimiar

et al.

Biological Research For Nursing, Journal Year: 2025, Volume and Issue: unknown

Published: April 22, 2025

Use of wearables, which can be considered as devices worn on the body that capture dimensions health, are common in research. Wearables useful they employed a number environments for variety populations and record over short or long time periods. Recent advancements technology have significantly improved accuracy sensors algorithms used to interpret their data. Commercial such fitness trackers, smartwatches, smart rings seen parallel advancements. Perhaps most application wearables research is assessment sleep rest-activity rhythms include accelerometers, sensor commonly infer activity from movement patterns. appealing use due widespread general population, real-time data syncing capabilities, affordability, user-friendly, consumer-oriented design interfaces. There are, however, several important factors consider when selecting commercial wearable These device specifications (durability, price, unique features, etc.), accessibility, participant factors. Keeping these considerations mind assist collection high-quality ultimately improve population outcomes. The purpose this methodological review describe commercially available purposes assessing

Language: Английский

Day-to-day variability in sleep and activity predict the onset of a hypomanic episode in patients with bipolar disorder DOI

Abigail Ortiz,

Ramzi Halabi, Martin Alda

et al.

Journal of Affective Disorders, Journal Year: 2025, Volume and Issue: 374, P. 75 - 83

Published: Jan. 8, 2025

Language: Английский

Citations

1

Transforming Sleep Monitoring: Review of Wearable and Remote Devices Advancing Home Polysomnography and Their Role in Predicting Neurological Disorders DOI Creative Commons
Diana Vitazkova, Helena Svobodová,

Daniela Turonova

et al.

Biosensors, Journal Year: 2025, Volume and Issue: 15(2), P. 117 - 117

Published: Feb. 17, 2025

This paper explores the progressive era of sleep monitoring, focusing on wearable and remote devices contributing to advances in concept home polysomnography. We begin by exploring basic physiology sleep, establishing a theoretical basis for understanding stages associated changes physiological variables. The review then moves an analysis specific cutting-edge technologies, with emphasis their practical applications, user comfort, accuracy. Attention is also given ability these predict neurological disorders, particularly Alzheimer's Parkinson's disease. highlights integration hardware innovations, targeted parameters, partially advanced algorithms, illustrating how elements converge provide reliable health information. By bridging gap between clinical diagnosis real-world applicability, this aims elucidate role modern monitoring tools improving personalised healthcare proactive disease management.

Language: Английский

Citations

0

Sleep Quality of Persons with Dementia and Family Caregivers in Korean Americans: Wearable Technology to Study the Dyadic Association DOI
Eunae Ju, Yuqing Guo, Jung In Park

et al.

Western Journal of Nursing Research, Journal Year: 2025, Volume and Issue: unknown

Published: March 17, 2025

Background: Sleep disturbances, such as difficulty in falling asleep and multiple awakenings at night, are prevalent among persons with Alzheimer’s disease related dementias (hereafter dementia), resulting advanced cognitive impairment increased behavioral problems. Additionally, family caregivers (eg, spouses or offspring) suffer from reduced sleep quality a result of disturbances the dementia (PWDs) they care for. Relatively little is known about interaction parameters dyads (PWD–caregiver) paired units understudied immigrant minorities, particularly Korean Americans. Objectives: To describe dyads’ (ie, total/deep/rapid eye movement/light sleep, awake duration, latency efficiency) using wearable technology (smart-rings) diaries, to identify interrelationships between PWD caregivers. Methods: This 4-week observational study used smart-ring monitoring, survey, self-reported diaries explore associations American recruited community. Pearson correlations were performed. Results: A total 11 participated study. The mean age was 82.7 years (standard deviation (SD) = 2.3); 69.1 (SD 10.2). Nine (81.8%) male, all (100%) female, 4 (36.4%) slept same bed. significantly correlated those Conclusion: Our findings demonstrate that PWD’s deep sleep) caregivers’ parameters. shows feasibility device measure dyadic for both their caregivers, within populations.

Language: Английский

Citations

0

Performance of wearable finger ring trackers for diagnostic sleep measurement in the clinical context DOI Creative Commons
Sebastian Herberger, Christoph Aurnhammer,

Sophie Bauerfeind

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: March 19, 2025

Ring-trackers are a growing consumer wearable category that provide number of sleep metrics, yet their measurement accuracy remains poorly understood. Previous validation studies have mainly focused on healthy individuals, while significant part the potential present and future value lies in applications non-healthy subjects. To enable research medical applications, rigorous evaluation performance clinical settings against gold-standard polysomnography is needed. address this knowledge gap, we investigated how measurements three commercially available ring trackers (Oura, SleepOn, Circul) perform university lab population with diverse set sleep-related disorders as well sleep-unrelated conditions. We evaluated individual-level group-level discrepancies standard measures conducted an epoch-by-epoch analysis staging classification using standardized framework. While average similar (e.g., TST differences between rings gold were below 12 min for Oura ring), often remained large. Ring-derived metrics characterized by complex bias, indicating correction non-trivial. Sleep/Wake distinction SleepOn reached previously reported individuals (~ 85% accuracy), but was worse Circul 65% accuracy). Sleep stage (Wake, Light, Deep, REM sleep) sensitivity ranged from 0.14 (REM ring) to 0.58 (Light ring). Across all stages, performed similarly (53.18% 50.48% whereas (35.06% Our findings confirm recent descriptions device-related bias additionally uncover practical limitations application real-world laboratory patient cohort. Critically, some devices may demonstrate reasonable agreement PSG average, masks substantial inaccuracies, prohibiting use medicine, accurate assessment individual nights, including both nights exceptionally low or high quality quantity, essential care.

Language: Английский

Citations

0

Validation of a Neurophysiological-Based Wearable Device (Somfit) for the Assessment of Sleep in Athletes DOI Creative Commons
Gregory D. Roach, Dean J. Miller, Stephanie J. Shell

et al.

Sensors, Journal Year: 2025, Volume and Issue: 25(7), P. 2123 - 2123

Published: March 27, 2025

The aim of the study was to examine validity a neurophysiological-based wearable device, i.e., Somfit (Compumedics Ltd.), for assessment sleep in athletes. Twenty-seven athletes (14 F, 13 M, aged 22.3 ± 5.1 years) spent single night laboratory. participants had 9 h bed (23:00-08:00) while fitted simultaneously with and polysomnography (PSG), gold standard sleep. PSG were used independently categorise each 30-s epoch time into one five states, wake, stage 1 non-REM (N1), 2 (N2), 3 (N3), or REM There large differences between terms amount data that successfully captured/scored, so three subsets considered subsequent analyses: unfiltered subset (n = 26)-all participants, except whom no captured/scored; good-capture 15)-participants > 80% excellent-capture 7)-participants 99.9% captured/scored. Agreement five-state categorisation calculated as percentage epochs correctly scored by N1, N2, N3, REM, wake. (and Cohen's kappa) 63% (0.47) subset, 66% (0.52) 79% (0.70) subset. These indicate moderate-substantial level agreement Wearable devices can capture valid may also be derive important measures related circadian system, such consistency social jet lag.

Language: Английский

Citations

0

Day-to-day variability in activity levels detects transitions to depressive symptoms in bipolar disorder earlier than changes in sleep and mood DOI Creative Commons

Abigail Ortiz,

Ramzi Halabi, Martin Alda

et al.

International Journal of Bipolar Disorders, Journal Year: 2025, Volume and Issue: 13(1)

Published: April 2, 2025

Language: Английский

Citations

0

Prevalence and Misperception: Exploring the Gap Between Objective and Subjective Assessment of Sleep Apnea in a Population at Increased Risk for Dementia DOI Open Access
Miren Altuna, Maite García-Sebastián, M. Ecay

et al.

Journal of Clinical Medicine, Journal Year: 2025, Volume and Issue: 14(8), P. 2607 - 2607

Published: April 10, 2025

Background: Aging is a well-established independent risk factor for both cognitive impairment and sleep disorders, including obstructive apnea (OSA), modifiable yet underrecognized condition. OSA has been implicated in biological mechanisms contributing to Alzheimer’s disease, amyloid-β accumulation, tau phosphorylation, neuroinflammation. This underscores the need optimize diagnosis individuals with an increased of dementia. Methods: cross-sectional observational study enrolled adults aged 60–85 years CAIDE dementia score ≥6. Subjective was evaluated using validated questionnaires (Pittsburgh Sleep Quality Index, Epworth Sleepiness Scale, Oviedo Questionnaire), while objective data were obtained through single-night peripheral arterial tonometry (PAT)-based wearable device, complemented by 7-day diary. Participants also completed STOP-BANG Berlin questionnaires, clinically relevant findings communicated participants. Results: Among 322 participants (48.8% women; mean age 71.4 ± 6.4 years), moderate-to-severe (apnea–hypopnea index [AHI] ≥ 15) identified 48.49%, despite absence prior diagnoses. screening tools frequently underestimated severity compared assessments. While no significant sex-based differences noted, higher AHI values correlated strongly body mass elevated scores. Conclusions: A marked discrepancy between subjective measurements complicates accurate management most OSA. disorders remain significantly underdiagnosed at Integrating technologies structured such as diaries into routine assessments can enhance diagnostic precision, enabling timely interventions these factors

Language: Английский

Citations

0

Considerations for the Use of Commercial Wearables to Assess Sleep and Rest-Activity Rhythms DOI

Meghan M. Morrison,

Jemima Adisa,

Olivia Trimiar

et al.

Biological Research For Nursing, Journal Year: 2025, Volume and Issue: unknown

Published: April 22, 2025

Use of wearables, which can be considered as devices worn on the body that capture dimensions health, are common in research. Wearables useful they employed a number environments for variety populations and record over short or long time periods. Recent advancements technology have significantly improved accuracy sensors algorithms used to interpret their data. Commercial such fitness trackers, smartwatches, smart rings seen parallel advancements. Perhaps most application wearables research is assessment sleep rest-activity rhythms include accelerometers, sensor commonly infer activity from movement patterns. appealing use due widespread general population, real-time data syncing capabilities, affordability, user-friendly, consumer-oriented design interfaces. There are, however, several important factors consider when selecting commercial wearable These device specifications (durability, price, unique features, etc.), accessibility, participant factors. Keeping these considerations mind assist collection high-quality ultimately improve population outcomes. The purpose this methodological review describe commercially available purposes assessing

Language: Английский

Citations

0