改善睡眠质量。
Engineering better sleep.
出版信息
Med Biol Eng Comput. 2011 Jun;49(6):623-5. doi: 10.1007/s11517-011-0777-4. Epub 2011 Apr 13.
Abstract
Sleep medicine is a growing field with multidisciplinary origins in physiological monitoring techniques, on which it still largely depends. Collaborations between engineers and sleep specialists offer substantial opportunities to improve on current approaches to diagnosis and assessment of patients with sleep problems. Such collaborations could also prove key to improved fundamental understanding of the pathophysiology that underlies sleep disorders and their adverse impact on the brain, cardiovascular system, and optimal health.
摘要
睡眠医学是一个不断发展的领域，其多学科起源于生理监测技术，目前仍在很大程度上依赖这些技术。工程师和睡眠专家之间的合作为改进当前诊断和评估睡眠问题患者的方法提供了巨大的机会。这种合作对于改善对睡眠障碍及其对大脑、心血管系统和最佳健康的不利影响的病理生理学的基本理解也可能是关键。
相似文献
1
Engineering better sleep.
Med Biol Eng Comput. 2011 Jun;49(6):623-5. doi: 10.1007/s11517-011-0777-4. Epub 2011 Apr 13.
2
Is polysomnographic examination necessary for subjects with diaphragm pathologies?
Clinics (Sao Paulo). 2016 Sep;71(9):506-10. doi: 10.6061/clinics/2016(09)04.
3
[Significance of sleep medicine in neonatology].
Kinderkrankenschwester. 2004 Dec;23(12):475-80.
4
Home assessment of sleep disorders by portable monitoring.
J Clin Neurophysiol. 1996 Jul;13(4):272-84. doi: 10.1097/00004691-199607000-00002.
5
Concomitant sleep disorders--a reason for in-clinic sleep studies in patients with obstructive sleep apnea?
Sleep Breath. 2005 Jun;9(2):49. doi: 10.1007/s11325-005-0019-9.
6
[From simple snoring to sleep apnea syndrome--clinical spectrum].
Ther Umsch. 2000 Jul;57(7):430-4. doi: 10.1024/0040-5930.57.7.430.
7
EEG recording and analysis for sleep research.
Curr Protoc Neurosci. 2009 Oct;Chapter 10:Unit10.2. doi: 10.1002/0471142301.ns1002s49.
8
The first night effect during polysomnography, and patients' estimates of sleep quality.
Psychiatry Res. 2019 Apr;274:27-29. doi: 10.1016/j.psychres.2019.02.011. Epub 2019 Feb 6.
9
Polysomnography.
Handb Clin Neurol. 2019;160:381-392. doi: 10.1016/B978-0-444-64032-1.00025-4.
10
Preliminary evaluation of Wearable Wellness System for Obstructive Sleep Apnea detection.
Annu Int Conf IEEE Eng Med Biol Soc. 2015;2015:4142-5. doi: 10.1109/EMBC.2015.7319306.
引用本文的文献
1
Numerical simulation of pharyngeal airflow applied to obstructive sleep apnea: effect of the nasal cavity in anatomically accurate airway models.
Med Biol Eng Comput. 2015 Nov;53(11):1129-39. doi: 10.1007/s11517-015-1399-z. Epub 2015 Oct 1.
2
Amount of weight loss or gain influences the severity of respiratory events in sleep apnea.
Med Biol Eng Comput. 2015 Oct;53(10):975-88. doi: 10.1007/s11517-015-1290-y. Epub 2015 Apr 17.
3
Application of recurrence quantification analysis to automatically estimate infant sleep states using a single channel of respiratory data.
Med Biol Eng Comput. 2012 Aug;50(8):851-65. doi: 10.1007/s11517-012-0918-4. Epub 2012 May 22.
4
Efficient automatic classifiers for the detection of A phases of the cyclic alternating pattern in sleep.
Med Biol Eng Comput. 2012 Apr;50(4):359-72. doi: 10.1007/s11517-012-0881-0. Epub 2012 Mar 20.
5
All night analysis of time interval between snores in subjects with sleep apnea hypopnea syndrome.
Med Biol Eng Comput. 2012 Apr;50(4):373-81. doi: 10.1007/s11517-012-0885-9. Epub 2012 Mar 10.
6
Respiratory cycle-related EEG changes: response to CPAP.
Sleep. 2012 Feb 1;35(2):203-9. doi: 10.5665/sleep.1622.
7
The Nightingale Prize 2011 for best MBEC paper in 2010.
Med Biol Eng Comput. 2011 Dec;49(12):1353-4. doi: 10.1007/s11517-011-0846-8. Epub 2011 Nov 18.
本文引用的文献
1
Objective measure of sleepiness and sleep latency via bispectrum analysis of EEG.
Med Biol Eng Comput. 2010 Dec;48(12):1203-13. doi: 10.1007/s11517-010-0715-x. Epub 2010 Nov 25.
2
Sleep apnea monitoring and diagnosis based on pulse oximetry and tracheal sound signals.
Med Biol Eng Comput. 2010 Nov;48(11):1087-97. doi: 10.1007/s11517-010-0674-2. Epub 2010 Aug 24.
3
Approaches to the assessment of arousals and sleep disturbance in children.
Sleep Med. 2010 Aug;11(7):622-7. doi: 10.1016/j.sleep.2009.11.018.
4
Automated detection of obstructive sleep apnoea syndrome from oxygen saturation recordings using linear discriminant analysis.
Med Biol Eng Comput. 2010 Sep;48(9):895-902. doi: 10.1007/s11517-010-0646-6. Epub 2010 Jun 24.
5
Automatic video detection of body movement during sleep based on optical flow in pediatric patients with epilepsy.
Med Biol Eng Comput. 2010 Sep;48(9):923-31. doi: 10.1007/s11517-010-0648-4. Epub 2010 Jun 24.
6
A state transition-based method for quantifying EEG sleep fragmentation.
Med Biol Eng Comput. 2009 Oct;47(10):1053-61. doi: 10.1007/s11517-009-0524-2. Epub 2009 Aug 25.
7
New tracheal sound feature for apnoea analysis.
Med Biol Eng Comput. 2009 Apr;47(4):405-12. doi: 10.1007/s11517-009-0446-z. Epub 2009 Feb 11.
8
Improved computational fronto-central sleep depth parameters show differences between apnea patients and control subjects.
Med Biol Eng Comput. 2009 Jan;47(1):3-10. doi: 10.1007/s11517-008-0374-3. Epub 2008 Aug 5.
9
Detection of compressed tracheal sound patterns with large amplitude variation during sleep.
Med Biol Eng Comput. 2008 Apr;46(4):315-21. doi: 10.1007/s11517-008-0317-z. Epub 2008 Feb 21.
10
On arousal from sleep: time-frequency analysis.
Med Biol Eng Comput. 2008 Apr;46(4):341-51. doi: 10.1007/s11517-008-0309-z. Epub 2008 Feb 12.
Zotero 插件