Voice Symptoms and Wellbeing in School Teachers in England

xlomafota13 shared this article with you from Inoreader Voice Symptoms and Wellbeing in School Teachers in England Via Journal of Voice Negative psychological factors such as depression and other common mental disorders have been found to be associated with voice problems in teachers. However, there is little research with teachers that investigates the relationship between positive psychological factors such as wellbeing and voice problems. Although negative and positive mental states are on a continuum of psychological health, research suggests negative and positive effects are not necessarily inversely correlated and therefore need to be investigated separately. View on the web Inoreader. Take back control of your news feed. Follow us on Twitter and Facebook.

Deep Learning Forecasts the Occurrence of Sleep Apnea from Single-Lead ECG

xlomafota.13 shared this article with you from Inoreader Deep Learning Forecasts the Occurrence of Sleep Apnea from Single-Lead ECG Via Latest Results for Cardiovascular Engineering and Technology Abstract Objectives Sleep apnea is the most common sleep disorder that leads to serious health complications if not treated early. Forecasting apnea occurrence ahead in time provides the opportunity to take appropriate actions to control and manage it. Methods A novel framework for forecasting the occurrence of apnea from single-lead electrocardiogram (ECG) based on deep recurrent neural networks is proposed. ECG R-peak amplitudes and R-R intervals are extracted and aligned using power spectral analysis, and recurrent deep learning models are developed to extract the most predictive ECG features and forecast the occurrence of apnea. Results The performance of the proposed approach was validated in forecasting apnea events up to five minutes in future on a dataset of 70 sleep recordings. A forecasting accuracy of up to 94.95% was achieved which was higher than the performance of conventional multilayer perceptron (p < 0.05) and other state-of-the-art techniques. Conclusions The proposed deep learning approach was successful in forecasting the occurrence of sleep apnea from single-lead ECG. It can therefore be adopted in wearable sleep monitors for the management of sleep apnea. Our developed algorithms are publicly available on GitHub. View on the web Inoreader. Take back control of your news feed. Follow us on Twitter and Facebook.