@article{RakVoelkerTaegeretal.2019,
  author    = {Rak, Kristen and V{\"o}lker, Johannes and Taeger, Johannes and Bahmer, Andreas and Hagen, Rudolf and Albrecht, Urs-Vito},
  title     = {Medizinische Apps in der HNO-Heilkunde},
  series = {Laryngorhinootologie},
  volume    = {98},
  journal   = {Laryngorhinootologie},
  number    = {S 01},
  doi       = {10.1055/a-0740-4866},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-224948},
  pages     = {S253-S289},
  year      = {2019},
  abstract  = {The implementation of mobile information and communication technology in the field of health services, e.g. in the form of apps, is becoming increasingly important. Unfortunately, the necessary quality criteria are often mising. Thus, it seems important, that in addition to an app controlling authority highly qualified health care professionals participate in the development of these applications. For reasons of liability, however, the physician must exercise great caution in the selection and recommendation of medical apps, especially considering, that only a few apps are certified as medical devices. There are a large number of medical apps on the market, with only a small proportion being assigned to the field of otorhinolaryngology. The areas of audiology, sleep medicine and allergology are most frequently represented. Althouhgh there is increasing scientific work on this topic in the field of otorhinolaryngology, there is a lack of scientific evidence of contents and results, as is generally the case of medical apps. However, there are other possibilities for users to rate medical apps regarding defined qualitiy criteria such as functionality, scientific integrity, but also data privacy. None of the apps assessed by such a evaluation tool met all the required quality criteria, but the applied instrument helped to better assess the application. However, it was possible to consider the quality criteria in the developmental process of an medical app for the field of otorhinolaryngoglogy. In summary, the present work provide a comprehensive insight into the topic "Apps in Otorhinolaryngology" with the aim to use these modern aids in a beneficial way.},
  language  = {de}
}
@article{BahmerGupta2018,
  author    = {Bahmer, Andreas and Gupta, Daya Shankar},
  title     = {Role of Oscillations in Auditory Temporal Processing: A General Model for Temporal Processing of Sensory Information in the Brain?},
  series = {Frontiers in Neuroscience},
  volume    = {12},
  journal   = {Frontiers in Neuroscience},
  number    = {793},
  issn      = {1662-453X},
  doi       = {10.3389/fnins.2018.00793},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-196087},
  year      = {2018},
  abstract  = {We review the role of oscillations in the brain and in the auditory system showing that the ability of humans to distinguish changes in pitch can be explained as a precise analysis of temporal information in auditory signals by neural oscillations. The connections between auditory brain stem chopper neurons construct neural oscillators, which discharge spikes at various constant intervals that are integer multiples of 0.4 ms, contributing to the temporal processing of auditory cochlear output. This is subsequently spatially mapped in the inferior colliculus. Electrophysiological measurements of auditory chopper neurons in different species show oscillations with periods which are integer multiples of 0.4 ms. The constant intervals of 0.4 ms can be attributed to the smallest synaptic delay between interconnected simulated chopper neurons. We also note the patterns of similarities between microcircuits in the brain stem and other parts of the brain (e.g., the pallidum, reticular formation, locus coeruleus, oculomotor nuclei, limbic system, amygdala, hippocampus, basal ganglia and substantia nigra), dedicated to the processing of temporal information. Similarities in microcircuits across the brain reflect the importance of one of the key mechanisms in the information processing in the brain, namely the temporal coupling of different neural events via coincidence detection.},
  language  = {en}
}