@misc{ReinhardtAltmannReichmannetal., author = {Reinhardt, Fritjof and Altmann, Olaf and Reichmann, Heinz and Brehme, Stefan and Taganow, Olga and Reschke, Pit and Vogel, Steffen and Weigert, Martin and Priwitzer, Barbara}, title = {BNP- und Troponin I-Serumspiegel bei unterschiedlicher Schlaganfall{\"a}tiologie und -topographie}, series = {Aktuelle Neurologie}, volume = {39}, journal = {Aktuelle Neurologie}, number = {4}, issn = {1438-9428}, pages = {168 -- 173}, language = {de} } @misc{SteinmetzerBoenningerPriwitzeretal., author = {Steinmetzer, Tobias and B{\"o}nninger, Ingrid and Priwitzer, Barbara and Reinhardt, Fritjof and Reckhardt, Markus Christoph and Erk, Dorela and Travieso-Gonz{\´a}lez, Carlos M.}, title = {Clustering of Human Gait with Parkinson's Disease by Using Dynamic Time Warping}, series = {IEEE International Work Conference on Bioinspired Intelligence (IWOBI)}, volume = {2018}, journal = {IEEE International Work Conference on Bioinspired Intelligence (IWOBI)}, doi = {10.1109/IWOBI.2018.8464203}, pages = {1 -- 6}, abstract = {We present a new method for detecting gait disorders according to their stadium using cluster methods for sensor data. 21 healthy and 18 Parkinson subjects performed the Time Up and Go test. The time series were segmented into separate steps. For the analysis the horizontal acceleration measured by a mobile sensor system was considered. We used Dynamic Time Warping and Hierarchical Custering to distinguish the stadiums. A specificity of 92\% was achieved.}, language = {en} }