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https://www.readbyqxmd.com/read/28231027/insomnia-sleep-quality-and-quality-of-life-in-mild-to-moderate-parkinson-s-disease
#1
Shirin Shafazand, Douglas M Wallace, Kristopher L Arheart, Silvia Vargas, Corneliu C Luca, Henry Moore, Heather Katzen, Bonnie Levin, Carlos Singer
RATIONALE: Sleep disorders are prevalent in Parkinson's disease and yet under reported in clinical settings. The contribution of sleep disorders to health-related quality of life (HRQOL) for patients with this degenerative neurological disease are not well known. OBJECTIVES: To evaluate the impact of insomnia symptoms, obstructive sleep apnea (OSA), and poor sleep quality on HRQOL in a cohort of patients with idiopathic Parkinson's disease. METHODS: We enrolled a convenience sample of 66 adults seen in the University of Miami Movement Disorders Clinic between July 2011 and June 2013...
February 23, 2017: Annals of the American Thoracic Society
https://www.readbyqxmd.com/read/28230704/muscle-metaboreflex-control-of-sympathetic-activity-in-obstructive-sleep-apnea
#2
Linda M Ueno-Pardi, Renan S Guerra, Thiago T Goya, Rosyvaldo F Silva, Elisangela M Gara, Marta F Lima, Thais S Nobre, Maria J N N Alves, Ivani C Trombetta, Geraldo Lorenzi-Filho
PURPOSE: Previous studies report abnormal muscle metaboreflex control of muscle sympathetic nerve activity (MSNA) in obesity, hypertension, and heart failure. We hypothesized that obstructive sleep apnea (OSA) is associated with augmented metaboreflex control of MSNA. METHODS: Thirty-one sedentary individuals with no comorbidities (age = 52±1 y, body mass index = 28±1 kg/m) without (control, n = 14) and with OSA (n = 17) defined by polysomnography, underwent echocardiography...
February 22, 2017: Medicine and Science in Sports and Exercise
https://www.readbyqxmd.com/read/28229911/diagnostic-accuracy-of-carotid-intima-media-thickness-in-predicting-coronary-plaque-burden-on-coronary-computed-tomography-angiography-in-patients-with-obstructive-sleep-apnoea
#3
David J Murphy, Sophie J Crinion, Ciaran E Redmond, Gerard M Healy, Walter T McNicholas, Silke Ryan, Jonathan D Dodd
AIM: To assess the diagnostic accuracy of common carotid artery intima media thickness (CIMT) for coronary artery disease (CAD) detection in patients with obstructive sleep apnoea (OSA). MATERIALS & METHODS: Patients with clinically suspected OSA prospectively underwent polysomnography (PSG), ultrasound CIMT measurement and coronary computed tomography angiography (CTA). An average CIMT of ≥0.9 mm in either common carotid artery designated as a positive test...
February 11, 2017: Journal of Cardiovascular Computed Tomography
https://www.readbyqxmd.com/read/28228566/reduced-cognitive-function-in-patients-with-parkinson-disease-and-obstructive-sleep-apnea
#4
Victoria P Mery, Priti Gros, Anne-Louise Lafontaine, Ann Robinson, Andrea Benedetti, R John Kimoff, Marta Kaminska
OBJECTIVE: To assess the association between obstructive sleep apnea (OSA) and nonmotor symptoms (NMS), including cognitive dysfunction, in patients with Parkinson disease (PD). METHODS: Patients with idiopathic PD, recruited from a movement disorder clinic, underwent overnight polysomnography. OSA was defined as an apnea-hypopnea index (AHI) ≥15/h. PD severity was assessed using the Hoehn & Yahr (H&Y) scale and the Movement Disorder Society Unified Parkinson's Disease Rating Scale (MDS-UPDRS)...
February 22, 2017: Neurology
https://www.readbyqxmd.com/read/28227708/towards-detection-of-sleep-apnea-events-by-combining-different-non-contact-measurement-modalities
#5
Abdul Q Javaid, Carlo M Noble, Russell Rosenberg, Mary A Weitnauer, Abdul Q Javaid, Carlo M Noble, Russell Rosenberg, Mary A Weitnauer, Carlo M Noble, Abdul Q Javaid, Mary A Weitnauer, Russell Rosenberg
In this work, we extract features from an under-the-mattress impulse radio ultra-wide band (IR-UWB) radar and a microphone, placed on the side table of the bed, to classify epochs belonging to normal sleep and those that contain an apnea event in them. Sleep apnea is the most common form of sleep related breathing disorder in adults with an estimated prevalance of 5-15%. The common diagnostic process for sleep apnea, polysomnography (PSG), involves sleeping in well-equipped sleep clinics. The cost and discomfort associated with the process has spurred research towards the design of portable home-based monitoring devices...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227613/sleep-stage-classification-by-non-contact-vital-signs-indices-using-doppler-radar-sensors
#6
Masayuki Kagawa, Kazuki Suzumura, Takemi Matsui, Masayuki Kagawa, Kazuki Suzumura, Takemi Matsui, Kazuki Suzumura, Takemi Matsui, Masayuki Kagawa
Disturbed sleep has become more common in recent years. To improve the quality of sleep, undergoing sleep observation has gained interest as a means to resolve possible problems. In this paper, we evaluate a non-restrictive and non-contact method for classifying real-time sleep stages and report on its potential applications. The proposed system measures heart rate (HR), heart rate variability (HRV), body movements, and respiratory signals of a sleeping person using two 24-GHz microwave radars placed beneath the mattress...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227612/bed-based-instrumentation-for-unobtrusive-sleep-quality-assessment-in-severely-disabled-autistic-children
#7
Charles Carlson, Ahmad Suliman, Punit Prakash, David Thompson, Shangxian Wang, Bala Natarajan, Steve Warren, Charles Carlson, Ahmad Suliman, Punit Prakash, David Thompson, Shangxian Wang, Bala Natarajan, Steve Warren, Shangxian Wang, Punit Prakash, Bala Natarajan, David Thompson, Charles Carlson, Steve Warren, Ahmad Suliman
The relationship between sleep quality and daytime wellness and performance in severely disabled, autistic children is not well understood. While polysomnography and, more recently, actigraphy serve as means to obtain sleep assessment data from neurotypical children and adults, these techniques are not well-suited to severely autistic children. This paper presents recent progress on a bed sensor suite that can unobtrusively track physiological and behavioral parameters used to assess sleep quality. Electromechanical films and load cells provide data that yield heart rate, respiration rate, center of position, in-and-out-of-bed activity, and general movement, while thermocouples are used to detect bed-wetting events...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227574/automatic-sleep-stage-classification-using-ear-eeg
#8
Andreas Stochholm, Kaare Mikkelsen, Preben Kidmose, Andreas Stochholm, Kaare Mikkelsen, Preben Kidmose, Kaare Mikkelsen, Preben Kidmose, Andreas Stochholm
Sleep assessment is of great importance in the diagnosis and treatment of sleep disorders. In clinical practice this is typically performed based on polysomnography recordings and manual sleep staging by experts. This procedure has the disadvantages that the measurements are cumbersome, may have a negative influence on the sleep, and the clinical assessment is labor intensive. Addressing the latter, there has recently been encouraging progress in the field of automatic sleep staging [1]. Furthermore, a minimally obtrusive method for recording EEG from electrodes in the ear (ear-EEG) has recently been proposed [2]...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227327/sleep-spindle-identification-on-eeg-signals-from-polysomnographie-recordings-using-correntropy
#9
Sebastian Ulloa, Pablo A Estevez, Pablo Huijse, Claudio M Held, Claudio A Perez, Rodrigo Chamorro, Marcelo Garrido, Cecilia Algarin, Patricio Peirano, Sebastian Ulloa, Pablo A Estevez, Pablo Huijse, Claudio M Held, Claudio A Perez, Rodrigo Chamorro, Marcelo Garrido, Cecilia Algarin, Patricio Peirano, Pablo A Estevez, Marcelo Garrido, Sebastian Ulloa, Claudio A Perez, Pablo Huijse, Rodrigo Chamorro, Cecilia Algarin, Patricio Peirano, Claudio M Held
Sleep spindles (SSs) are characteristic electroencephalographic (EEG) waveforms of sleep stages N2 and N3. One of the main problems associated with SS detection is the high number of false positives. In this paper we propose a new periodogram based on correntropy to detect SSs and enhance their characterization. Correntropy is a generalized correlation, under the information theoretic learning framework. A non-negative matrix factorization decomposition of correntropy allows us to obtain a new periodogram, which shows an improved resolution capability compared to the conventional power spectrum density...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227285/non-contact-real-time-estimation-of-intrapulmonary-pressure-and-tidal-volume-for-chronic-heart-failure-patients
#10
Vinh Phuc Tran, Adel Ali Al-Jumaily, Vinh Phuc Tran, Adel Ali Al-Jumaily, Vinh Phuc Tran, Adel Ali Al-Jumaily
Long-term continuous patient monitoring is required in many health systems for monitoring and analytical diagnosing purposes. It has been recognized that these types of monitoring systems have shortcomings related to patient comfort and/or functionality. Non-contact monitoring systems have been developed to address some of these shortcomings. One of such systems is non-contact physiological vital signs assessments for Chronic Heart Failure (CHF) patients. This paper presents a novel pulmonary ventilation model that defines the relationship between the intrapulmonary pressure and the chest displacement...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227201/can-we-discriminate-between-apnea-and-hypopnea-using-audio-signals
#11
M Halevi, E Dafna, A Tarasiuk, Y Zigel, M Halevi, E Dafna, A Tarasiuk, Y Zigel, A Tarasiuk, Y Zigel, M Halevi, E Dafna
Obstructive sleep apnea (OSA) affects up to 14% of the population. OSA is characterized by recurrent apneas and hypopneas during sleep. The apnea-hypopnea index (AHI) is frequently used as a measure of OSA severity. In the current study, we explored the acoustic characteristics of hypopnea in order to distinguish it from apnea. We hypothesize that we can find audio-based features that can discriminate between apnea, hypopnea and normal breathing events. Whole night audio recordings were performed using a non-contact microphone on 44 subjects, simultaneously with the polysomnography study (PSG)...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227200/obstructive-sleep-apnea-severity-estimation-fusion-of-speech-based-systems
#12
D Ben Or, E Dafna, A Tarasiuk, Y Zigel, D Ben Or, E Dafna, A Tarasiuk, Y Zigel, A Tarasiuk, Y Zigel, E Dafna
Obstructive sleep apnea (OSA) is a common sleep-related breathing disorder. Previous studies associated OSA with anatomical abnormalities of the upper respiratory tract that may be reflected in the acoustic characteristics of speech. We tested the hypothesis that the speech signal carries essential information that can assist in early assessment of OSA severity by estimating apnea-hypopnea index (AHI). 198 men referred to routine polysomnography (PSG) were recorded shortly prior to sleep onset while reading a one-minute speech protocol...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227197/identifying-individual-sleep-apnea-hypoapnea-epochs-using-smartphone-based-pulse-oximetry
#13
Ainara Garde, Parastoo Dekhordi, J Mark Ansermino, Guy A Dumont, Ainara Garde, Parastoo Dekhordi, J Mark Ansermino, Guy A Dumont, J Mark Ansermino, Parastoo Dekhordi, Guy A Dumont, Ainara Garde
Sleep apnea, characterized by frequent pauses in breathing during sleep, poses a serious threat to the healthy growth and development of children. Polysomnography (PSG), the gold standard for sleep apnea diagnosis, is resource intensive and confined to sleep laboratories, thus reducing its accessibility. Pulse oximetry alone, providing blood oxygen saturation (SpO2) and blood volume changes in tissue (PPG), has the potential to identify children with sleep apnea. Thus, we aim to develop a tool for at-home sleep apnea screening that provides a detailed and automated 30 sec epoch-by-epoch sleep apnea analysis...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227114/photoplethysmography-derivatives-and-pulse-transit-time-in-overnight-blood-pressure-monitoring
#14
Sobhan Salari Shahrbabaki, Beena Ahmed, Thomas Penzel, Dean Cvetkovic, Sobhan Salari Shahrbabaki, Beena Ahmed, Thomas Penzel, Dean Cvetkovic, Sobhan Salari Shahrbabaki, Beena Ahmed, Thomas Penzel, Dean Cvetkovic
Overnight continuous blood pressure measurement provides simultaneous monitoring of blood pressure and sleep architecture. By this means, we are able to investigate whether different sleep events are associated to blood pressure fluctuations. In this paper, we used the Pulse Transit Time (PTT) to develop and evaluate functions for measurement of blood pressure. We focused on the first and second derivatives of fingertip Photoplethysmography (PPG) recordings to detect PPG critical points. By applying R wave of ECG and PPG critical points, we created two PTT-based models for estimation of systolic and diastolic blood pressure (SBP and DBP)...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227110/bioradiolocation-based-sleep-stage-classification
#15
Alexander Tataraidze, Lyudmila Korostovtseva, Lesya Anishchenko, Mikhail Bochkarev, Yurii Sviryaev, Sergey Ivashov, Alexander Tataraidze, Lyudmila Korostovtseva, Lesya Anishchenko, Mikhail Bochkarev, Yurii Sviryaev, Sergey Ivashov, Mikhail Bochkarev, Yurii Sviryaev, Lesya Anishchenko, Lyudmila Korostovtseva, Sergey Ivashov, Alexander Tataraidze
This paper presents a method for classifying wakefulness, REM, light and deep sleep based on the analysis of respiratory activity and body motions acquired by a bioradar. The method was validated using data of 32 subjects without sleep-disordered breathing, who underwent a polysomnography study in a sleep laboratory. We achieved Cohen's kappa of 0.49 in the wake-REM-light-deep sleep classification, 0.55 for the wake-REM-NREM classification and 0.57 for the sleep/wakefulness determination. The results might be useful for the development of unobtrusive sleep monitoring systems for diagnostics, prevention, and management of sleep disorders...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227109/probabilistic-characterization-of-sleep-architecture-home-based-study-on-healthy-volunteers
#16
Gary Garcia-Molina, Sreeram Vissapragada, Anandi Mahadevan, Robert Goodpaster, Brady Riedner, Michele Bellesi, Giulio Tononi, Gary Garcia-Molina, Sreeram Vissapragada, Anandi Mahadevan, Robert Goodpaster, Brady Riedner, Michele Bellesi, Giulio Tononi, Robert Goodpaster, Brady Riedner, Michele Bellesi, Giulio Tononi, Gary Garcia-Molina, Sreeram Vissapragada, Anandi Mahadevan
The quantification of sleep architecture has high clinical value for diagnostic purposes. While the clinical standard to assess sleep architecture is in-lab based polysomnography, higher ecological validity can be obtained with multiple sleep recordings at home. In this paper, we use a dataset composed of fifty sleep EEG recordings at home (10 per study participant for five participants) to analyze the sleep stage transition dynamics using Markov chain based modeling. The statistical analysis of the duration of continuous sleep stage bouts is also analyzed to identify the speed of transition between sleep stages...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227011/how-many-sleep-stages-do-we-need-for-an-efficient-automatic-insomnia-diagnosis
#17
Sana Tmar-Ben Hamida, Martin Glos, Thomas Penzel, Beena Ahmed, Sana Tmar-Ben Hamida, Martin Glos, Thomas Penzel, Beena Ahmed, Sana Tmar-Ben Hamida, Martin Glos, Thomas Penzel, Beena Ahmed
Tools used by clinicians to diagnose and treat insomnia typically include sleep diaries and questionnaires. Overnight polysomnography (PSG) recordings are used when the initial diagnosis is uncertain due to the presence of other sleep disorders or when the treatment, either behavioral or pharmacologic, is unsuccessful. However, the analysis and the scoring of PSG data are time-consuming. To simplify the diagnosis process, in this paper we have proposed an efficient insomnia detection algorithm based on a central single electroencephalographic (EEG) channel (C3) using only deep sleep...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28225162/mandibular-position-and-movements-suitability-for-diagnosis-of-sleep-apnoea
#18
Jean-Benoit Martinot, Jean-Christian Borel, Valérie Cuthbert, Hervé Jean-Pierre Guénard, Stéphane Denison, Philip E Silkoff, David Gozal, Jean-Louis Pepin
BACKGROUND AND OBJECTIVE: Mandibular movements (MMs) and position during sleep reflect respiratory efforts related to increases in upper airway resistance and micro-arousals. The study objective was to assess whether MM identifies sleep-disordered breathing (SDB) in patients with moderate to high pre-test probability. METHODS: This was a prospective study of 87 consecutive patients referred for an in-laboratory sleep test. Magnetometer-derived MM signals were incorporated into standard polysomnography (PSG)...
November 6, 2016: Respirology: Official Journal of the Asian Pacific Society of Respirology
https://www.readbyqxmd.com/read/28224726/a%C3%A4-rway-and-sleep-d%C3%A4-sorders-%C3%A4-n-pat%C3%A4-ents-w%C3%A4-th-acromegaly
#19
Onur Turan, Barış Akıncı, Ahmet Omer Ikız, Oya Itıl, Ibrahim Oztura, Emel Ada, Bahri Akdenız, Serkan Yener, Murat Kaya, Arzu Gedık, Abdurrahman Comlekcı
INTRODUCTION-OBJECTIVE: Acromegaly is a multisystemic disorder caused by excessive secretion of growth hormone (GH). Sleep-disordered breathing (SDB) such as sleep apnea syndrome (SAS) may occur in acromegaly. The aim of study was to assess the presence of sleep disorders and evaluate the systemic complications on respiratory, cardiovascular and upper airway systems in acromegalic patients. METHODS: The study group consisted of 30 acromegaly outpatients. GH and insulin-like growth factor 1 (IGF-1) measurements were obtained; body pletysmography, arterial blood gas analysis,tissue-doppler imaging,echocardiography,polysomnography,otorhinolaryngologic examination and head-neck computed tomography were performed...
February 22, 2017: Clinical Respiratory Journal
https://www.readbyqxmd.com/read/28224648/impacts-of-disease-severity-on-postoperative-complications-in-children-with-sleep-disordered-breathing
#20
Kun-Tai Kang, I-Sheng Chang, Chia-Chen Tseng, Wen-Chin Weng, Tzu-Yu Hsiao, Pei-Lin Lee, Wei-Chung Hsu
OBJECTIVES/HYPOTHESIS: To investigate the effects of diseases severity on postoperative complications following adenotonsillectomy (T&A) in children with sleep-disordered breathing (SDB). STUDY DESIGN: Retrospective study. METHODS: Children aged <18 years were enrolled and underwent T&A for treating SDB. Polysomnography was used to classify the disease severity: primary snoring (apnea-hypopnea index [AHI] <1), mild (AHI = 1-5), moderate (AHI = 5-10), and severe obstructive sleep apnea [OSA] (AHI ≥10)...
February 22, 2017: Laryngoscope
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