102 results found
Alqurashi Y, Moss J, Nakamura T, et al., 2017, The Efficacy Of In-Ear Electroencephalography (eeg) To Monitor Sleep Latency And The Impact Of Sleep Deprivation, International Conference of the American-Thoracic-Society (ATS), Publisher: AMER THORACIC SOC, ISSN: 1073-449X
Atalla A, Carlisle TW, Simonds AK, et al., 2017, Sleepiness and activity in heart failure patients with reduced ejection fraction and central sleep-disordered breathing, SLEEP MEDICINE, Vol: 34, Pages: 217-223, ISSN: 1389-9457
Brill A-K, Moghal M, Morrell MJ, et al., 2017, Randomized crossover trial of a pressure sensing visual feedback system to improve mask fitting in noninvasive ventilation., Respirology, Vol: 22, Pages: 1343-1349
BACKGROUND AND OBJECTIVE: A good mask fit, avoiding air leaks and pressure effects on the skin are key elements for a successful noninvasive ventilation (NIV). However, delivering practical training for NIV is challenging, and it takes time to build experience and competency. This study investigated whether a pressure sensing system with real-time visual feedback improved mask fitting. METHODS: During an NIV training session, 30 healthcare professionals (14 trained in mask fitting and 16 untrained) performed two mask fittings on the same healthy volunteer in a randomized order: one using standard mask-fitting procedures and one with additional visual feedback on mask pressure on the nasal bridge. Participants were required to achieve a mask fit with low mask pressure and minimal air leak (<10 L/min). Pressure exerted on the nasal bridge, perceived comfort of mask fit and staff- confidence were measured. RESULTS: Compared with standard mask fitting, a lower pressure was exerted on the nasal bridge using the feedback system (71.1 ± 17.6 mm Hg vs 63.2 ± 14.6 mm Hg, P < 0.001). Both untrained and trained healthcare professionals were able to reduce the pressure on the nasal bridge (74.5 ± 21.2 mm Hg vs 66.1 ± 17.4 mm Hg, P = 0.023 and 67 ± 12.1 mm Hg vs 60 ± 10.6 mm Hg, P = 0.002, respectively) using the feedback system and self-rated confidence increased in the untrained group. CONCLUSION: Real-time visual feedback using pressure sensing technology supported healthcare professionals during mask-fitting training, resulted in a lower pressure on the skin and better mask fit for the volunteer, with increased staff confidence.
Carlisle T, Ward NR, Atalla A, et al., 2017, Investigation of the link between fluid shift and airway collapsibility as a mechanism for obstructive sleep apnea in congestive heart failure, PHYSIOLOGICAL REPORTS, Vol: 5, ISSN: 2051-817X
Eastwood PR, Morrell MJ, Malhotra A, 2017, Update in respiratory sleep disorders: Prologue to a modern review series, RESPIROLOGY, Vol: 22, Pages: 17-18, ISSN: 1323-7799
Goverdovsky V, von Rosenberg W, Nakamura T, et al., 2017, Hearables: Multimodal physiological in-ear sensing., Sci Rep, Vol: 7
Future health systems require the means to assess and track the neural and physiological function of a user over long periods of time, and in the community. Human body responses are manifested through multiple, interacting modalities - the mechanical, electrical and chemical; yet, current physiological monitors (e.g. actigraphy, heart rate) largely lack in cross-modal ability, are inconvenient and/or stigmatizing. We address these challenges through an inconspicuous earpiece, which benefits from the relatively stable position of the ear canal with respect to vital organs. Equipped with miniature multimodal sensors, it robustly measures the brain, cardiac and respiratory functions. Comprehensive experiments validate each modality within the proposed earpiece, while its potential in wearable health monitoring is illustrated through case studies spanning these three functions. We further demonstrate how combining data from multiple sensors within such an integrated wearable device improves both the accuracy of measurements and the ability to deal with artifacts in real-world scenarios.
Khazaie H, Veronese M, Noori K, et al., 2017, Functional reorganization in obstructive sleep apnoea and insomnia: A systematic review of the resting-state fMRI, NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS, Vol: 77, Pages: 219-231, ISSN: 0149-7634
Patel S, Kon SSC, Nolan CM, et al., 2017, The Epworth Sleepiness Scale: Minimum Clinically Important Difference in Obstructive Sleep Apnea., Am J Respir Crit Care Med
Patrick Y, Lee A, Raha O, et al., 2017, Effects of sleep deprivation on cognitive and physical performance in university students, SLEEP AND BIOLOGICAL RHYTHMS, Vol: 15, Pages: 217-225, ISSN: 1446-9235
Rosenzweig I, Morrell MJ, 2017, Hypotrophy versus Hypertrophy: It's Not Black or White with Gray Matter, AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, Vol: 195, Pages: 1416-1418, ISSN: 1073-449X
Emamian F, Khazaie H, Tahmasian M, et al., 2016, The Association Between Obstructive Sleep Apnea and Alzheimer's Disease: A Meta-Analysis Perspective, FRONTIERS IN AGING NEUROSCIENCE, Vol: 8, ISSN: 1663-4365
Looney D, Goverdovsky V, Rosenzweig I, et al., 2016, Wearable In-Ear Encephalography Sensor for Monitoring Sleep Preliminary Observations from Nap Studies, ANNALS OF THE AMERICAN THORACIC SOCIETY, Vol: 13, Pages: 2229-2233, ISSN: 1546-3222
McMillan A, Morrell MJ, 2016, Sleep disordered breathing at the extremes of age: the elderly, BREATHE, Vol: 12, Pages: 51-60, ISSN: 1810-6838
Morrell MJ, McMillan A, 2016, Does Age Matter? The Relationship between Sleep-disordered Breathing and Incident Atrial Fibrillation in Older Men, AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, Vol: 193, Pages: 712-714, ISSN: 1073-449X
Rosenzweig I, Glasser M, Crum WR, et al., 2016, Changes in Neurocognitive Architecture in Patients with Obstructive Sleep Apnea Treated with Continuous Positive Airway Pressure, EBIOMEDICINE, Vol: 7, Pages: 221-229, ISSN: 2352-3964
Tahmasian M, Rosenzweig I, Eickhoff SB, et al., 2016, Structural and functional neural adaptations in obstructive sleep apnea: An activation likelihood estimation meta-analysis, NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS, Vol: 65, Pages: 142-156, ISSN: 0149-7634
McMillan A, Bratton DJ, Faria R, et al., 2015, A multicentre randomised controlled trial and economic evaluation of continuous positive airway pressure for the treatment of obstructive sleep apnoea syndrome in older people: PREDICT, HEALTH TECHNOLOGY ASSESSMENT, Vol: 19, Pages: 1-+, ISSN: 1366-5278
Morrell MJ, 2015, One hundred years of pulmonary function testing: a perspective on 'The diffusion of gases through the lungs of man' by Marie Krogh, JOURNAL OF PHYSIOLOGY-LONDON, Vol: 593, Pages: 351-352, ISSN: 0022-3751
Rosenzweig I, Glasser M, Polsek D, et al., 2015, Sleep apnoea and the brain: a complex relationship., Lancet Respiratory Medicine, Vol: 3, Pages: 404-414, ISSN: 2213-2619
Intermittent hypoxia, reoxygenation, and hypercapnia or hypocapnia occur in both adults and children during untreated apnoea and hypopnoea, along with changes in cerebral blood flow and sleep fragmentation. These effects can result in cognitive deficits with functional effects on work and school efficiency. The assessment of how obstructive sleep apnoea affects cognition depends on the specificity and sensitivity of the tests, which are rarely developed specifically for obstructive sleep apnoea. In this Review, we discuss both the neural adaptive and maladaptive processes in response to hypoxaemia. The net result on cognitive and emotional performance depends on the stage of this dynamic process, effects on other body systems, cognitive reserve, and idiosyncratic susceptibility. We also explore the contribution of fragmented sleep, and the disruption of sleep structure, with focus on the effect at different times in the development of disease. This Review will address the gap in the underlying pathophysiology of new clinical and translational findings, and argue their contribution to the inherent complexity of the association between obstructive sleep apnoea and the brain.
Carlisle T, Carthy ER, Glasser M, et al., 2014, Upper airway factors that protect against obstructive sleep apnoea in healthy older males, EUROPEAN RESPIRATORY JOURNAL, Vol: 44, Pages: 685-693, ISSN: 0903-1936
Kelly JL, Jaye J, Pickersgill RE, et al., 2014, Randomized trial of 'intelligent' autotitrating ventilation versus standard pressure support non-invasive ventilation: Impact on adherence and physiological outcomes, RESPIROLOGY, Vol: 19, Pages: 596-603, ISSN: 1323-7799
McMillan A, Bratton DJ, Faria R, et al., 2014, Continuous positive airway pressure in older people with obstructive sleep apnoea syndrome (PREDICT): a 12-month, multicentre, randomised trial, LANCET RESPIRATORY MEDICINE, Vol: 2, Pages: 804-812, ISSN: 2213-2600
Quinnell TG, Bennett M, Jordan J, et al., 2014, A crossover randomised controlled trial of oral mandibular advancement devices for obstructive sleep apnoea-hypopnoea (TOMADO), THORAX, Vol: 69, Pages: 938-945, ISSN: 0040-6376
Rosenzweig I, Williams SCR, Morrell MJ, 2014, The impact of sleep and hypoxia on the brain: potential mechanisms for the effects of obstructive sleep apnea, CURRENT OPINION IN PULMONARY MEDICINE, Vol: 20, Pages: 565-571, ISSN: 1070-5287
Shaikh ZF, Kelly JL, Shrikrishna D, et al., 2014, Patent Foramen Ovale Is Not Associated with Hypoxemia in Severe Chronic Obstructive Pulmonary Disease and Does Not Impair Exercise Performance, AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, Vol: 189, Pages: 540-547, ISSN: 1073-449X
Glasser M, Rosenzweig I, McMillan A, et al., 2013, Neuroanatomical Correlates Of Cognitive Dysfunction In Obstructive Sleep Apnoea: An Ongoing Study, AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, Vol: 187, ISSN: 1073-449X
Rosenzweig I, Kempton MJ, Crum WR, et al., 2013, Hippocampal Hypertrophy and Sleep Apnea: A Role for the Ischemic Preconditioning?, PLOS ONE, Vol: 8, ISSN: 1932-6203
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