The Virtual Sleep Lab—A Novel Method for Accurate Four-Class Sleep Staging Using Heart-Rate Variability from Low-Cost Wearables DOI Creative Commons
Pavlos Topalidis, Dominik Philip Johannes Heib, Sebastian Baron

et al.

Sensors, Journal Year: 2023, Volume and Issue: 23(5), P. 2390 - 2390

Published: Feb. 21, 2023

Sleep staging based on polysomnography (PSG) performed by human experts is the de facto “gold standard” for objective measurement of sleep. PSG and manual sleep is, however, personnel-intensive time-consuming it thus impractical to monitor a person’s architecture over extended periods. Here, we present novel, low-cost, automatized, deep learning alternative that provides reliable epoch-by-epoch four-class approach (Wake, Light [N1 + N2], Deep, REM) solely inter-beat-interval (IBI) data. Having trained multi-resolution convolutional neural network (MCNN) IBIs 8898 full-night manually sleep-staged recordings, tested MCNN classification using two low-cost (<EUR 100) consumer wearables: an optical heart rate sensor (VS) breast belt (H10), both produced POLAR®. The overall accuracy reached levels comparable expert inter-rater reliability devices (VS: 81%, κ = 0.69; H10: 80.3%, 0.69). In addition, used H10 recorded daily ECG data from 49 participants with complaints course digital CBT-I-based training program implemented in App NUKKUAA™. As proof principle, classified extracted captured sleep-related changes. At end program, reported significant improvements subjective quality onset latency. Similarly, latency showed trend toward improvement. Weekly latency, wake time during sleep, total also correlated significantly reports. combination state-of-the-art machine suitable wearables allows continuous accurate monitoring naturalistic settings profound implications answering basic clinical research questions.

Language: Английский

Adolescent sleep and the foundations of prefrontal cortical development and dysfunction DOI Creative Commons
Paul G. Anastasiades, Luisa de Vivo, Michele Bellesi

et al.

Progress in Neurobiology, Journal Year: 2022, Volume and Issue: 218, P. 102338 - 102338

Published: Aug. 10, 2022

Modern life poses many threats to good-quality sleep, challenging brain health across the lifespan. Curtailed or fragmented sleep may be particularly damaging during adolescence, when disruption by delayed chronotypes and societal pressures coincides with our brains preparing for adult via intense refinement of neural connectivity. These vulnerabilities converge on prefrontal cortex, one last regions mature a central hub limbic-cortical circuits underpinning decision-making, reward processing, social interactions emotion. Even subtle cortical development adolescence therefore have enduring impact. In this review, we integrate synaptic circuit mechanisms, glial biology, neurophysiology epidemiology, frame hypothesis highlighting implications adolescent circuitry cortex. Convergent evidence underscores importance acknowledging, quantifying optimizing sleep's contributions normative lifelong mental health.

Language: Английский

Citations

34
A novel sleep staging network based on multi-scale dual attention DOI
Huafeng Wang,

Chonggang Lu,

Qi Zhang

et al.

Biomedical Signal Processing and Control, Journal Year: 2022, Volume and Issue: 74, P. 103486 - 103486

Published: Jan. 8, 2022

Language: Английский

Citations

29
Integrating Ti3C2Tx MXene Nanosheets with Thermoplastic Polyurethane Nanofibers as Wearable Humidity Sensors for Noninvasive Sleep Monitoring and Noncontact Sensing DOI
Shanshan Ding, Xu Jin, Bin Wang

et al.

ACS Applied Nano Materials, Journal Year: 2023, Volume and Issue: 6(13), P. 11810 - 11821

Published: July 4, 2023

The development prospects of wearable humidity sensors in noninvasive diagnostic and noncontact sensing have attracted more attention. However, most the existing are uncomfortable to wear require complex high-cost fabrication methods, limiting their application continuous real-time detection. Herein, an all-nanofiber sensor, integrating Ti3C2Tx MXene nanosheets with thermoplastic polyurethane (TPU) nanofibers, is proposed by combining electrospinning vacuum magnetron sputtering high sensitivity, fast response, good anti-interference ability. Benefiting from 2D/3D multilevel structure Grotthuss chain reaction, sensor exhibits ultrahigh linear sensitivity −91%, response/recovery time (<3.7 s), wide range (11–95% RH). Moreover, featured portability, flexibility, breathability, biocompatibility impervious pressure, temperature, sweat, contributing monitoring human respiration skin moisture. In addition, it can respond remarkably repeatably weak changes, which facilitates sensing. Most importantly, a simple detection device assembled applied early warn about sleep-related diseases construct human–machine interaction interface (such as intelligent burglar alarm) proof concept.

Language: Английский

Citations

21
Contactless Camera-Based Sleep Staging: The HealthBed Study DOI Creative Commons
Fokke van Meulen, Angela Grassi, Leonie van den Heuvel

et al.

Bioengineering, Journal Year: 2023, Volume and Issue: 10(1), P. 109 - 109

Published: Jan. 12, 2023

Polysomnography (PSG) remains the gold standard for sleep monitoring but is obtrusive in nature. Advances camera sensor technology and data analysis techniques enable contactless of heart rate variability (HRV). In turn, this may allow remote assessment stages, as different HRV metrics indirectly reflect expression stages. We evaluated a camera-based photoplethysmography (PPG) setup to perform automated classification stages near darkness. Based on measurement pulse variability, we use previously developed HRV-based algorithm 3 4-class stage classification. Performance was 46 healthy participants obtained from simultaneous overnight recording PSG PPG. To validate results benchmarking purposes, same used classify based corresponding ECG data. Compared manually scored PSG, PPG-based achieved moderate agreement both class (Wake–N1/N2/N3–REM) 4 (Wake–N1/N2–N3–REM) classification, with average κ 0.58 0.49 accuracy 81% 68%, respectively. This range other performance reported sensing technologies wearable staging, showing potential video-based non-contact staging.

Language: Английский

Citations

19
Recent Developments in Wearable NEMS/MEMS-Based Smart Infrared Sensors for Healthcare Applications DOI
Bhavya Padha,

Isha Yadav,

Shankar Dutta

et al.

ACS Applied Electronic Materials, Journal Year: 2023, Volume and Issue: 5(10), P. 5386 - 5411

Published: Oct. 4, 2023

Incorporating nano- and microelectromechanical systems (NEMS/MEMS)-based sensors in clothing developing more compact flexible devices have gained popularity recently. NEMS/MEMS-based bolometers/sensors significance due to their high sensitivity accuracy measuring physical parameters such as temperature, humidity, pressure, infrared (IR) ultraviolet (UV) radiations. When worn on the body, bolometers can be employed various applications environmental monitoring or health tracking. This review highlights progress of smart wearable healthcare industry. Instead visiting multiple facilities devices, now people assess status by body sensing motion, respiratory functioning, blood oxygen levels blood, heart functioning integrating these into fabriclike garments, socks, shoe insoles, wrist watches, other pieces clothing. The article concludes describing varied challenges possible solutions prospects.

Language: Английский

Citations

17
Accuracy of Three Commercial Wearable Devices for Sleep Tracking in Healthy Adults DOI Creative Commons
Rebecca Robbins, Matthew D. Weaver, Jason P. Sullivan

et al.

Sensors, Journal Year: 2024, Volume and Issue: 24(20), P. 6532 - 6532

Published: Oct. 10, 2024

Sleep tracking by consumers is becoming increasingly prevalent; yet, few studies have evaluated the accuracy of such devices. We sought to evaluate three devices (Oura Ring Gen3, Fitbit Sense 2, and Apple Watch Series 8) compared gold standard sleep assessment (polysomnography (PSG)). Thirty-five participants (aged 20-50 years) without a disorder were enrolled in single-night inpatient study, during which they wore Oura Ring, Fitbit, Watch, monitored with PSG. For detecting vs. wake, sensitivity was ≥95% for all discriminating between stages, ranged from 50 86%, as follows: ring 76.0-79.5% precision 77.0-79.5%; 61.7-78.0% 72.8-73.2%; 50.5-86.1% 72.7-87.8%. The not different PSG terms light sleep, deep or REM estimation. overestimated (18 min;

Language: Английский

Citations

8
Validation of sleep-staging accuracy for an in-home sleep electroencephalography device compared with simultaneous polysomnography in patients with obstructive sleep apnea DOI Creative Commons
Jaehoon Seol, Shigeru Chiba, Fusae Kawana

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Feb. 12, 2024

Abstract Efforts to simplify standard polysomnography (PSG) in laboratories, especially for obstructive sleep apnea (OSA), and assess its agreement with portable electroencephalogram (EEG) devices are limited. We aimed evaluate the between a EEG device type I PSG patients OSA examine EEG-based arousal index’s ability estimate severity. enrolled 77 Japanese who underwent simultaneous monitoring. Combining pulse rate, oxygen saturation (SpO 2 ), improved staging accuracy. Bland–Altman plots, paired t-tests, receiver operating characteristics curves were used screening Significant small biases observed total time, latency, awakening after falling asleep, efficiency, N1, N2, N3 rates, index, indexes. All variables showed > 95% analysis, interclass correlation coefficients of 0.761–0.982, indicating high inter-instrument validity. The index demonstrated sufficient power AHI ≥ 15 30 yielded promising results predicting Portable strong OSA. These suggest that may their condition at home.

Language: Английский

Citations

7
A systematic review of the performance of actigraphy in measuring sleep stages DOI Creative Commons
Hang Yuan, Elizabeth A. Hill, Simon D. Kyle

et al.

Journal of Sleep Research, Journal Year: 2024, Volume and Issue: 33(5)

Published: Feb. 21, 2024

The accuracy of actigraphy for sleep staging is assumed to be poor, but examination limited. This systematic review aimed assess the performance in stage classification adults. A search was performed using MEDLINE, Web Science, Google Scholar, and Embase databases. We identified eight studies that compared architecture estimates between wrist-worn polysomnography. Large heterogeneity found with respect how stages were grouped, choice metrics used evaluate performance. Quantitative synthesis not possible, so we a narrative literature. From limited number studies, actigraphy-based had some ability classify different

Language: Английский

Citations

7
Deconstructing Commercial Wearable Technology: Contributions toward Accurate and Free-Living Monitoring of Sleep DOI Creative Commons
Lauren E. Rentz,

Hana K. Ulman,

Scott M. Galster

et al.

Sensors, Journal Year: 2021, Volume and Issue: 21(15), P. 5071 - 5071

Published: July 27, 2021

Despite prolific demands and sales, commercial sleep assessment is primarily limited by the inability to “measure” itself; rather, secondary physiological signals are captured, combined, subsequently classified as or a specific state. Using markedly different approaches compared with gold-standard polysomnography, wearable companies purporting measure have rapidly developed during recent decades. These devices advertised monitor via sensors such accelerometers, electrocardiography, photoplethysmography, temperature, alone in combination, estimate stage based upon patterns. However, without regulatory oversight, this market has historically manufactured products of poor accuracy, rarely third-party validation. Specifically, these vary their capacities capture signal interest, process signal, perform calculations, ultimately classify state (sleep vs. wake) given time domain. Device performance depends largely on success all aforementioned requirements. Thus, review provides context surrounding complex hardware software device attempts sleep-related phenomena, outlines considerations contributing factors for overall success.

Language: Английский

Citations

36
Sleep characterization with smart wearable devices: a call for standardization and consensus recommendations DOI Open Access
Mathias Baumert, Martín Cowie, Susan Redline

et al.

SLEEP, Journal Year: 2022, Volume and Issue: 45(12)

Published: Aug. 1, 2022

The general public increasingly adopts smart wearable devices to quantify sleep characteristics and dedicated for assessment. rapid evolution of technology has outpaced the ability implement validation approaches demonstrate relevant clinical applicability. There are untapped opportunities validate refine consumer in partnership with scientists academic institutions, patients, private sector allow effective integration into management pathways facilitate trust adoption once reliability validity have been demonstrated. We call formation a working group involving stakeholders from academia, care industry develop clear professional recommendations appropriate optimized utilization such technologies.

Language: Английский

Citations

28