Electrocardiogram derived respiration during sleep

The aim of this study was quantify the ECG Derived Respiration (EDR) in order to extend the capabilities of ECG-based sleep analysis. We examined our results in normal subjects and in patients with Obstructive Sleep Apnea Syndrome (OSAS) or Central Sleep Apnea. Lead 2 ECG and three measures of respiration (thorax and abdominal effort, and oronasal flow signal) were recorded during sleep studies of 12 normal and 12 OSAS patients. Three parameters, the R-wave amplitude (RWA), R-wave duration (RWD), and QRS area, were extracted from the ECG signal, resulting in time series that displayed a behavior similar to that of the respiration signals. EDR frequency was correlated with directly measured respiratory frequency, and averaged over all subjects. The peak-to-peak value of the EDR signals during the apnea event was compared to the average peak-to-peak of the sleep stage, containing the apnea. 1

Veterinary students' usage and perception of video teaching resources

<p>Abstract</p> <p>Background</p> <p>The purpose of our study was to use a student-centred approach to develop an online video learning resource (called 'Moo Tube') at the School of Veterinary Medicine and Science, University of Nottingham, UK and also to provide guidance for other academics in the School wishing to develop a similar resource in the future.</p> <p>Methods</p> <p>A focus group in the format of the nominal group technique was used to garner the opinions of 12 undergraduate students (3 from year-1, 4 from year-2 and 5 from year-3). Students generated lists of items in response to key questions, these responses were thematically analysed to generate key themes which were compared between the different year groups. The number of visits to 'Moo Tube' before and after an objective structured practical examination (OSPE) was also analysed to provide data on video usage.</p> <p>Results</p> <p>Students highlighted a number of strengths of video resources which can be grouped into four overarching themes: (1) teaching enhancement, (2) accessibility, (3) technical quality and (4) video content. Of these themes, students rated teaching enhancement and accessibility most highly. Video usage was seen to significantly increase (P < 0.05) prior to an examination and significantly decrease (P < 0.05) following the examination.</p> <p>Conclusions</p> <p>The students had a positive perception of video usage in higher education. Video usage increases prior to practical examinations. Image quality was a greater concern with year-3 students than with either year-1 or 2 students but all groups highlighted the following as important issues: i) good sound quality, ii) accessibility, including location of videos within electronic libraries, and iii) video content. Based on the findings from this study, guidelines are suggested for those developing undergraduate veterinary videos. We believe that many aspects of our list will have resonance in other areas of medicine education and higher education.</p

Yoga for improving sleep quality and quality of life of older adults

The aging process is associated with physiological changes that affect sleep. In older adults, undiagnosed and untreated insomnia may cause impaired daily function and reduced quality of life (QoL). Insomnia is also a risk factor for accidents and falls that are the main cause of accidental deaths in older adults and, therefore, is associated with higher morbidity and mortality rates in older populations. The research team aimed to (1) examine the efficacy of a yoga intervention (YI) for the treatment of insomnia in older adults, (2) determine the ability of yoga to enhance the QoL of older adults, and (3) establish the applicability of yoga practice for older people in a Western cultural setting. A waiting-list controlled trial. Settings • The study took place in Jerusalem, Israel, from 2008-2009. Participants were older men and women (age ≥ 60 y) with insomnia. The YI group participated in 12 wk of classes, held 2 ×/wk, incorporating yoga postures, meditative yoga, and daily home practice of meditative yoga. The study used self-report assessments of sleep quality using the following: (1) sleep quality-the Karolinska Sleepiness Scale (KSS), the Epworth Sleepiness Scale (ESS), and the Pittsburgh Sleep Quality Index (PSQI), and daily sleep and practice logs; (2) mood states-the Depression Anxiety Stress Scale long form (DASS-42) and the Profile of Mood States short form (POMS-SF); (3) a health survey (SF-36); and (4) mobile at-home sleep studies. Compared with controls, the YI group showed significant improvements in a range of subjective factors, including overall sleep quality; sleep efficiency; sleep latency and duration; self-assessed sleep quality; fatigue; general well-being; depression; anxiety; stress; tension; anger; vitality; and function in physical, emotional, and social roles. Yoga was shown to be safe and improved sleep and QoL in a group of older adults with insomnia. Outcomes depended on practice compliance