Publications by authors named "Matthias Bergner"
Somnography using unobtrusive motion sensors and Android-based mobile phones.
Annu Int Conf IEEE Eng Med Biol Soc
June 2014
Article Synopsis
- Sleep is essential for human health, but sleep disorders now affect up to 50% of people, making effective monitoring important.
- The traditional method of polysomnography (PSG) is intrusive and requires overnight stays in sleep labs, prompting the development of a new home-based method using unobtrusive motion sensors.
- The study found that a Naive Bayes classifier could accurately distinguish sleep stages with 79% accuracy using data from motion sensors, suggesting a promising and accessible way to monitor sleep via mobile phones in the future.
Handheld devices with touchscreen controls have become widespread in the general population. In this study, we examined the duration estimates (explicit timing) made by patients in a major general hospital and healthy control subjects using a custom iPad application. We methodically assessed duration estimates using this novel device.
View Article and Find Full Text PDFThe aim of the present epidemiological study was to investigate characteristics of assaults in the elderly aged 65 years and above from the perspective of the victim and perpetrator. This population-based study included 23,142 assaults (according to §§ 224/226 StGB of German criminal law) that were recorded in Bavaria, Germany, from 1999 to 2005. The population-based ratio of serious crimes of battery for the elderly in comparison with the reference population was markedly lower (0.
View Article and Find Full Text PDFBackground: Animals, including humans, exhibit a variety of biological rhythms. This article describes a method for the detection and simultaneous comparison of multiple nycthemeral rhythms.
Methods: A statistical method for detecting periodic patterns in time-related data via harmonic regression is described.