Instantaneous monitoring of sleep fragmentation by point process heart rate variability and respiratory dynamics
Luca Citi,Matt T. Bianchi,Elizabeth B. Klerman,Riccardo Barbieri +3 more
- Vol. 2011, pp 7735-7738
TLDR
A novel, automatic point-process approach that is able to provide continuous, instantaneous estimates of heart rate variability (HRV) and respiratory sinus arrhythmia (RSA) in long duration data recordings such as those during an entire night of sleep is presented.Abstract:
We present a novel, automatic point-process approach that is able to provide continuous, instantaneous estimates of heart rate variability (HRV) and respiratory sinus arrhythmia (RSA) in long duration data recordings such as those during an entire night of sleep. We analyze subjects with and without sleep apnea who underwent diagnostic polysomnography. The proposed algorithm is able to quantify multi-scale high time resolution autonomic signatures of sleep fragmentation, such as arousals and stage transitions, throughout an entire night. Results demonstrate the ability of our methods to track fast dynamic transitions from sleep to wake and between REM sleep and other sleep stages, providing resolution details not available in sleep scoring summaries. An automatic threshold-based procedure is further able to detect brief arousals, with the instantaneous indices characterizing specific arousal dynamic signatures.read more
Citations
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Assessing sleep architecture and continuity measures through the analysis of heart rate and wrist movement recordings in healthy subjects: comparison with results based on polysomnography
Alain Muzet,Sandra Werner,Gil Fuchs,Thomas Roth,Jay B. Saoud,Antoine Viola,Jean-Yves Schaffhauser,Remy Luthringer +7 more
TL;DR: The automatic analysis of heart rate and body movement during sleep allows for the evaluation of sleep architecture and continuity that is equivalent to those obtained by manual scoring of polysomnography.
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Artificial intelligence in sleep medicine: background and implications for clinicians.
Cathy Goldstein,Richard B. Berry,David T Kent,David A. Kristo,Azizi Seixas,Susan Redline,M. Brandon Westover +6 more
TL;DR: None Polysomnography remains the cornerstone of objective testing in sleep medicine and results in massive amounts of electrophysiological data, which is well-suited for analysis with artificial intelligence (AI)-based tools.
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Role of cardiorespiratory synchronization and sleep physiology: effects on membrane potential in the restorative functions of sleep.
TL;DR: This paper attempts to unify the activities of various physiologic systems, namely the cardiac, respiratory, ANS and brain, during sleep into a consolidated picture with particular attention to the membrane potential of neurons.
Journal ArticleDOI
A novel adhesive biosensor system for detecting respiration, cardiac, and limb movement signals during sleep: validation with polysomnography.
Elise Jortberg,Ikaro Silva,Viprali Bhatkar,Ryan S. McGinnis,Ellora Sen-Gupta,Briana Morey,John A. Wright,Jesus Pindado,Matt T. Bianchi +8 more
TL;DR: It is demonstrated that BiostampRC® is a tolerable and accurate method for capturing respiration, ECG, and AT EMG time series signals during overnight sleep when compared with simultaneous PSG recordings.
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Big data in sleep medicine: prospects and pitfalls in phenotyping
Matt T. Bianchi,Kathryn Russo,Harriett Gabbidon,Tiaundra Smith,Balaji Goparaju,M. Brandon Westover +5 more
TL;DR: Self-reported symptoms overlapped markedly between the two most common categories, insomnia and sleep apnea, with the majority reporting symptoms of both disorders, in adults who underwent overnight PSG.
References
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