Obstructive Sleep Apnea Research
20 works in the bibliography carry this topic. Each used an Axivity accelerometer to collect data, or evaluated one as an instrument.
2026
- 0846 Do Wearables Agree? Concordance of Commercial and Research-Grade Sleep Measures in Older Adults Across Healthy and Clinical Cohorts (opens in new tab)
- Are different consumer sleep technologies measuring the same essential aspects of sleep? (opens in new tab)
- Home-Based REM Sleep Without Atonia in Patients with Parkinson’s Disease: A Post Hoc Analysis of the ZEAL Study (opens in new tab)
- Objectively-Defined Sleep Regularity Is Associated with Macrovascular and Microvascular Complications among Individuals with Type 2 Diabetes Mellitus: A Cohort Study (opens in new tab)
2025
- Estimating the sleep period time window based on a hip-worn accelerometer collected in children and adults (opens in new tab)
- Longitudinal remote sleep and cognitive research in older adults with mild cognitive impairment and dementia: a prospective feasibility cohort study (opens in new tab)
- Recent lifestyle change impacts sleep and circadian rhythms among the Indigenous peoples of Peninsular Malaysia (opens in new tab)
2024
- A Machine Learning Model for Predicting Sleep and Wakefulness Based on Accelerometry, Skin Temperature and Contextual Information (opens in new tab)
- Association Between Accelerometer-Measured Irregular Sleep Duration and Type 2 Diabetes Risk: A Prospective Cohort Study in the UK Biobank (opens in new tab)
- Sex differences in the relationships between 24-h rest-activity patterns and plasma markers of Alzheimer’s disease pathology (opens in new tab)
- Sleep regularity and major adverse cardiovascular events: a device-based prospective study in 72 269 UK adults (opens in new tab)
- Validation of actigraphy sleep metrics in children aged 8 to 16 years: considerations for device type, placement and algorithms (opens in new tab)
2023
- Method for Activity Sleep Harmonization (MASH): a novel method for harmonizing data from two wearable devices to estimate 24-h sleep–wake cycles (opens in new tab)
- Objective assessment of sleep parameters using multimodal AX3 data in older participants (opens in new tab)
- Self-supervised learning of accelerometer data provides new insights for sleep and its association with mortality (opens in new tab)
2021
- Association of accelerometer-derived sleep measures with lifetime psychiatric diagnoses: A cross-sectional study of 89,205 participants from the UK Biobank (opens in new tab)
- Efficient embedded sleep wake classification for open-source actigraphy (opens in new tab)
- Exploration of Sleep as a Specific Risk Factor for Poor Metabolic and Mental Health: A UK Biobank Study of 84,404 Participants (opens in new tab)
- Objective assessment of sleep regularity in 60 000 UK Biobank participants using an open-source package (opens in new tab)