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Validation of sleep stage classification using non-contact radar technology and machine learning (Somnofy®)
12 references·1 citing·40 second hop
Validation of sleep stage classification using non-contact radar technology and machine learning (Somnofy®) (2020)Validation of sleep stage classification …The Sleep of the Ring: Comparison of the ŌURA Sleep Tracker Against Polysomnography (2017)The Sleep of the Ring: Compar…The Accuracy, Night-to-Night Variability, and Stability of Frontopolar Sleep Electroencephalography Biomarkers (2017)The Accuracy, Night-to-Night …Common pitfalls in statistical analysis: Measures of agreement (2017)Common pitfalls in statistica…A validation study of Fitbit Charge 2™ compared with polysomnography in adults (2017)A validation study of Fitbit …A Guideline of Selecting and Reporting Intraclass Correlation Coefficients for Reliability Research (2016)A Guideline of Selecting and …Is There a Clinical Role For Smartphone Sleep Apps? Comparison of Sleep Cycle Detection by a Smartphone Application to Polysomnography (2015)Is There a Clinical Role For …Measuring Sleep: Accuracy, Sensitivity, and Specificity of Wrist Actigraphy Compared to Polysomnography (2013)Measuring Sleep: Accuracy, Se…Wake Detection Capacity of Actigraphy During Sleep (2007)Wake Detection Capacity of Ac…The American Academy of Sleep Medicine (AASM) Manual for the Scoring of Sleep and Associated Events: Rules, Terminology and Technical Specifications (2007)The American Academy of Sleep…Further Validation of Actigraphy for Sleep Studies (2003)Further Validation of Actigra…STATISTICAL METHODS FOR ASSESSING AGREEMENT BETWEEN TWO METHODS OF CLINICAL MEASUREMENT (1986)STATISTICAL METHODS FOR ASSES…The Measurement of Observer Agreement for Categorical Data (1977)The Measurement of Observer A…Sex differences in sleep and influence of the menstrual cycle on women’s sleep in junior endurance athletes (2021)Sex differences in sleep and …Measurement in Medicine: The Analysis of Method Comparison Studies (1983)Bias in meta-analysis detected by a simple, graphical test (1997)Correlation Coefficients: Appropriate Use and Interpretation (2018)A manual for standardized terminology, techniques and scoring system for sleep stages in human subjects (1968)The Pittsburgh sleep quality index: A new instrument for psychiatric practice and research (1989)Comparing methods of measurement: why plotting difference against standard method is misleading (1995)Measuring sleep quality in older adults: a comparison using subjective and objective methods (2015)The SBSM Guide to Actigraphy Monitoring: Clinical and Research Applications (2015)Wearable Sleep Technology in Clinical and Research Settings (2019)A manual of standardized terminology, techniques and scoring system for sleep stages of human subjects (1969)Measuring agreement in method comparison studies (1999)Comparison between an African town and a neighbouring village shows delayed, but not decreased, sleep during the early stages of urbanisation (2017)Brain mechanisms of insomnia: new perspectives on causes and consequences (2020)A Coefficient of Agreement for Nominal Scales (1960)Guidelines, criteria, and rules of thumb for evaluating normed and standardized assessment instruments in psychology. 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References

  • 1977The Measurement of Observer Agreement for Categorical Data81,000 cited
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  • 2016A Guideline of Selecting and Reporting Intraclass Correlation Coefficients for Reliability Research29,261 cited
  • 2007The American Academy of Sleep Medicine (AASM) Manual for the Scoring of Sleep and Associated Events: Rules, Terminology and Technical Specifications6,529 cited
  • 2013Measuring Sleep: Accuracy, Sensitivity, and Specificity of Wrist Actigraphy Compared to Polysomnography1,052 cited
  • 2003Further Validation of Actigraphy for Sleep Studies587 cited
  • 2017Common pitfalls in statistical analysis: Measures of agreement464 cited
  • 2017A validation study of Fitbit Charge 2™ compared with polysomnography in adults415 cited
  • 2007Wake Detection Capacity of Actigraphy During Sleep352 cited
  • 2017The Sleep of the Ring: Comparison of the ŌURA Sleep Tracker Against Polysomnography287 cited
  • 2017The Accuracy, Night-to-Night Variability, and Stability of Frontopolar Sleep Electroencephalography Biomarkers152 cited
  • 2015Is There a Clinical Role For Smartphone Sleep Apps? Comparison of Sleep Cycle Detection by a Smartphone Application to Polysomnography130 cited

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  • 2021Sex differences in sleep and influence of the menstrual cycle on women’s sleep in junior endurance athletes

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60 cited