@article{BinderMayBaronetal.2011,
  author    = {Binder, Andreas and May, Denisa and Baron, Ralf and Maier, Christoph and T{\"o}lle, Thomas R. and Treede, Rolf-Detlef and Berthele, Achim and Faltraco, Frank and Flor, Herta and Gierthm{\"u}hlen, Janne and Haenisch, Sierk and Huge, Volker and Magerl, Walter and Maih{\"o}fner, Christian and Richter, Helmut and Rolke, Roman and Scherens, Andrea and {\"U}{\c{c}}eyler, Nurcan and Ufer, Mike and Wasner, Gunnar and Zhu, Jihong and Cascorbi, Ingolf},
  title     = {Transient Receptor Potential Channel Polymorphisms Are Associated with the Somatosensory Function in Neuropathic Pain Patients},
  series = {PLoS ONE},
  volume    = {6},
  journal   = {PLoS ONE},
  number    = {3},
  doi       = {10.1371/journal.pone.0017387},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-142782},
  pages     = {e17387},
  year      = {2011},
  abstract  = {Transient receptor potential channels are important mediators of thermal and mechanical stimuli and play an important role in neuropathic pain. The contribution of hereditary variants in the genes of transient receptor potential channels to neuropathic pain is unknown. We investigated the frequency of transient receptor potential ankyrin 1, transient receptor potential melastin 8 and transient receptor potential vanilloid 1 single nucleotide polymorphisms and their impact on somatosensory abnormalities in neuropathic pain patients. Within the German Research Network on Neuropathic Pain (Deutscher Forscbungsverbund Neuropathischer Schmerz) 371 neuropathic pain patients were phenotypically characterized using standardized quantitative sensory testing. Pyrosequencing was employed to determine a total of eleven single nucleotide polymorphisms in transient receptor potential channel genes of the neuropathic pain patients and a cohort of 253 German healthy volunteers. Associations of quantitative sensory testing parameters and single nucleotide polymorphisms between and within groups and subgroups, based on sensory phenotypes, were analyzed. Single nucleotide polymorphisms frequencies did not differ between both the cohorts. However, in neuropathic pain patients transient receptor potential ankyrin 1 710G>A (rs920829, E179K) was associated with the presence of paradoxical heat sensation (p=0.03), and transient receptor potential vanilloid 1 1911A>G (rs8065080, I585V) with cold hypoalgesia (p=0.0035). Two main subgroups characterized by preserved (1) and impaired (2) sensory function were identified. In subgroup 1 transient receptor potential vanilloid 1 1911A>G led to significantly less heat hyperalgesia, pinprick hyperalgesia and mechanical hypaesthesia (p=0.006, p=0.005 and p<0.001) and transient receptor potential vanilloid 1 1103C>G (rs222747, M315I) to cold hypaesthesia (p=0.002), but there was absence of associations in subgroup 2. In this study we found no evidence that genetic variants of transient receptor potential channels are involved in the expression of neuropathic pain, but transient receptor potential channel polymorphisms contributed significantly to the somatosensory abnormalities of neuropathic pain patients.},
  language  = {en}
}
@phdthesis{May2005,
  author    = {May, Christian},
  title     = {Die Ultraschall-Cranio-Corpo-Graphie als Routine-Test in der neurootologischen Untersuchung},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-14678},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2005},
  abstract  = {In der vorliegenden Arbeit sind 450 Patienten aus der neurootologischen Abteilung der Universit{\"a}ts-HNO-Klinik in einer Computerdatenbank erfasst worden, von denen jeweils ein digitales Stehversuch-CCG-Muster und ein digitales Tretversuch-CCG-Muster vorlagen. Zus{\"a}tzlich wurden die Ergebnisse der anderen {\"a}quilibriometrischen Tests sowie die Anamnesedaten (standardisierte neurootologische Anamnese NODEC III) mit ber{\"u}cksichtigt. Neben der Untersuchung des Gesamtkollektivs haben wir zur statistischen Auswertung bez{\"u}glich Geschlecht, Alter und CCG-Parameter Unterkollektive gebildet. Ausf{\"u}hrlich wurden dann die einzelnen Ergebnisse miteinander verglichen und anschaulich in Diagrammform dargestellt. Am Ende des Ergebnisteils werden die typischen Einzelf{\"a}lle (Normaltyp, periphere, zentrale, kombinierte St{\"o}rung) in einer Kasuistik demonstriert. In der Diskussion wurde auf topodiagnostische Gesichtspunkte sowie auf die Cranio-Corpo-Graphie als taugliche Untersuchungsmethode f{\"u}r die Arbeitsmedizin ausf{\"u}hrlich eingegangen. Dabei wurde deutlich, dass man das Cranio-Corpo-Gramm jedoch so oft wie m{\"o}glich in Kombination gemeinsam mit der Kalorisation anwenden sollte, da beide Verfahren v{\"o}llig unterschiedliche Gleichgewichtsregulationssysteme testen. Die Quote der Aufdeckung pathologischen Verhaltens in verschiedenen Regelkreisen erh{\"o}ht sich somit um ein Vielfaches. Weiterhin wurden die neurootologischen Erkrankungen und ihre m{\"o}glichen Verl{\"a}ufe detailliert beschrieben. Ein Vergleich unserer Ergebnisse mit dem Patientenkollektiv von MARCONDES folgte im letzten Abschnitt. Zusammenfassend wird in dieser Arbeit deutlich, dass die Cranio-Corpo-Graphie als einfacher, leicht durchf{\"u}hrbarer, objektiver Gleichgewichtsschnelltest eine wichtige Funktion als Siebtest hat und damit einen großen Beitrag zur Objektivierung und Differenzierung von neurootologischen St{\"o}rungen liefert.},
  language  = {de}
}
@article{PfitznerMayNuechter2018,
  author    = {Pfitzner, Christian and May, Stefan and N{\"u}chter, Andreas},
  title     = {Body weight estimation for dose-finding and health monitoring of lying, standing and walking patients based on RGB-D data},
  series = {Sensors},
  volume    = {18},
  journal   = {Sensors},
  number    = {5},
  doi       = {10.3390/s18051311},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-176642},
  pages     = {1311},
  year      = {2018},
  abstract  = {This paper describes the estimation of the body weight of a person in front of an RGB-D camera. A survey of different methods for body weight estimation based on depth sensors is given. First, an estimation of people standing in front of a camera is presented. Second, an approach based on a stream of depth images is used to obtain the body weight of a person walking towards a sensor. The algorithm first extracts features from a point cloud and forwards them to an artificial neural network (ANN) to obtain an estimation of body weight. Besides the algorithm for the estimation, this paper further presents an open-access dataset based on measurements from a trauma room in a hospital as well as data from visitors of a public event. In total, the dataset contains 439 measurements. The article illustrates the efficiency of the approach with experiments with persons lying down in a hospital, standing persons, and walking persons. Applicable scenarios for the presented algorithm are body weight-related dosing of emergency patients.},
  language  = {en}
}