Refine
Year of publication
- 2013 (65) (remove)
Institute
- Fachbereich Medizintechnik und Technomathematik (65) (remove)
Document Type
- Article (49)
- Conference Proceeding (10)
- Part of a Book (2)
- Other (2)
- Doctoral Thesis (1)
- Habilitation (1)
Keywords
- Bacillus atrophaeus (1)
- Distorsion des oberen Sprunggelenks (1)
- Epithel (1)
- Fibroblast (1)
- Sprunggelenkorthesen (1)
- Wundheilung (1)
- ankle braces (1)
- ankle sprain (1)
- calorimetric gas sensor (1)
- calorimetric gas sensor;hydrogen peroxide;wireless sensor system (1)
- carbonized rice husk (1)
- epithelization (1)
- fibulare Bandruptur (1)
- human dermal fibroblasts (1)
- hydrogen peroxide (1)
- rupture of the fibular ligament (1)
- sterilisation (1)
- wound healing (1)
The network approach towards the analysis of the dynamics of complex systems has been successfully applied in a multitude of studies in the neurosciences and has yielded fascinating insights. With this approach, a complex system is considered to be composed of different constituents which interact with each other. Interaction structures can be compactly represented in interaction networks. In this contribution, we present a brief overview about how interaction networks are derived from multivariate time series, about basic network characteristics, and about challenges associated with this analysis approach.