ReviewiScience2021
Recent advances in wearable sensors and portable electronics for sleep monitoring.
Review in iScience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers, 3 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
67 citing papers in PubMed, 3 syntheses or guidelines pooled it, 179 citations in OpenAlex.
- Sleep abnormalities in bipolar disorders across mood phases: A systematic review and meta-analysis.Sleep medicine reviews · 2025Pooled it
- Can portable sleep monitors replace polysomnography for diagnosis of pediatric OSA: a systematic review and meta-analysis.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2023Pooled it
- Does deidentification of data from wearable devices give us a false sense of security? A systematic review.The Lancet. Digital health · 2023Pooled it
- SApneaNet: Adaptive Squeeze-and-Excitation-Based CNN-Transformer Network with AGFF for Sleep Apnea Event Detection Using ECG Images Under IoMT.Sensors (Basel, Switzerland) · 2026Article
- Smart Furniture-Embedded Bed-Interaction and Multimodal Room Sensing with Sleep-Aware Hierarchical Fusion for Control-Oriented Bedroom State Recognition.Sensors (Basel, Switzerland) · 2026Article
- Comprehensive Analysis of Machine Learning Models for Five-Class Sleep Stage Classification Using PPG Signals.Research square · 2026Article
- Wrinkle-Adaptive Kirigami Wearables With Anisotropic Deformability for Sleep EEG Monitoring.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Short-term prediction of COPD exacerbations based on wearable vital sign monitoring.PLOS digital health · 2026Article
- Sensors Network and Wearables for People Activities and Wellbeing Monitoring.Sensors (Basel, Switzerland) · 2026Article
- Review
- Home-based sleep monitoring reveals associations between amyloid accumulation and sleep alterations in individuals with subjective and mild cognitive impairment.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- Lithium and valproic acid in bipolar disorder: Beyond mood stabilization, the overlooked role of sleep.World journal of psychiatry · 2025Article
- Article
- Forehead and In-Ear EEG Acquisition and Processing: Biomarker Analysis and Memory-Efficient Deep Learning Algorithm for Sleep Staging with Optimized Feature Dimensionality.Sensors (Basel, Switzerland) · 2025Article
- The Future of Insomnia Research-There's Still Work to Be Done.Journal of sleep research · 2025Review
- AI-Driven Wearable Bioelectronics in Digital Healthcare.Biosensors · 2025Review
- AI-Driven Detection of Obstructive Sleep Apnea Using Dual-Branch CNN and Machine Learning Models.Biomedicines · 2025Article
- A Comprehensive Review of Home Sleep Monitoring Technologies: Smartphone Apps, Smartwatches, and Smart Mattresses.Sensors (Basel, Switzerland) · 2025Review
- A deep learning-enabled smart garment for accurate and versatile monitoring of sleep conditions in daily life.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Transforming Sleep Monitoring: Review of Wearable and Remote Devices Advancing Home Polysomnography and Their Role in Predicting Neurological Disorders.Biosensors · 2025Review
7 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Despite the increasing awareness of the importance of sleep, the number of people suffering from insufficient sleep has increased every year. The gold-standard sleep assessment uses polysomnography (PSG) with various sensors to identify sleep patterns and disorders. However, due to the high cost of PSG and limited availability, many people with sleep disorders are left undiagnosed. Recent wearable sensors and electronics enable portable, continuous monitoring of sleep at home, overcoming the limitations of PSG. This report reviews the advances in wearable sensors, miniaturized electronics, and system packaging for home sleep monitoring. New devices available in the market and systems are collectively summarized based on their overall structure, form factor, materials, and sleep assessment method. It is expected that this review provides a comprehensive view of newly developed technologies and broad insights on wearable sensors and portable electronics toward advanced sleep monitoring as well as at-home sleep assessment.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.