Zobrazeno 1 - 10
of 206
pro vyhledávání: '"Jan W Kantelhardt"'
Autor:
Tabea F.A. Steinbrinker, Dagmar Krefting, Ronny P. Bartsch, Jan W. Kantelhardt, Nicolai Spicher
Publikováno v:
SoftwareX, Vol 27, Iss , Pp 101890- (2024)
Time Delay Stability (TDS) is an established tool for analyzing the interaction between physiological systems in the human organism. Time series are measured with sensors from different organ systems and are analyzed pairwise. Each pair is characteri
Externí odkaz:
https://doaj.org/article/b235d9fde0a048348dd79e5ce74710e4
Autor:
Eitan E. Asher, Meir Plotnik, Moritz Günther, Shay Moshel, Orr Levy, Shlomo Havlin, Jan W. Kantelhardt, Ronny P. Bartsch
Publikováno v:
Communications Biology, Vol 4, Iss 1, Pp 1-10 (2021)
Asher et al analyzed synchronization networks of electroencephalography brain waves from three Parkinson’s disease (PD) patient groups with different freezing of gait (FoG) severity using tools based on network science and non-linear dynamics. Thei
Externí odkaz:
https://doaj.org/article/11d178daf15649e8ace071528befbe93
Autor:
Moritz Günther, Ronny P. Bartsch, Yael Miron-Shahar, Sharon Hassin-Baer, Rivka Inzelberg, Jürgen Kurths, Meir Plotnik, Jan W. Kantelhardt
Publikováno v:
Frontiers in Physiology, Vol 10 (2019)
In this paper, we apply novel techniques for characterizing leg muscle activation patterns via electromyograms (EMGs) and for relating them to changes in electroencephalogram (EEG) activity during gait experiments. Specifically, we investigate change
Externí odkaz:
https://doaj.org/article/f1f56bee8b2045ef942a85739df0b178
Autor:
Johannes Zschocke, Maria Kluge, Luise Pelikan, Antonia Graf, Martin Glos, Alexander Müller, Rafael Mikolajczyk, Ronny P Bartsch, Thomas Penzel, Jan W Kantelhardt
Publikováno v:
PLoS ONE, Vol 14, Iss 12, p e0226843 (2019)
The high temporal and intensity resolution of modern accelerometers gives the opportunity of detecting even tiny body movements via motion-based sensors. In this paper, we demonstrate and evaluate an approach to identify pulse waves and heartbeats fr
Externí odkaz:
https://doaj.org/article/6a87f9ae3ad2455895be1b16077d14d0
Publikováno v:
PLoS ONE, Vol 13, Iss 5, p e0197153 (2018)
The appreciation for the need to record electroencephalographic (EEG) signals from humans while walking has been steadily growing in recent years, particularly in relation to understanding gait disturbances. Movement artefacts (MA) in EEG signals ori
Externí odkaz:
https://doaj.org/article/dfefbbd2231943f9a727dd5f35b42e30
Autor:
Jakob Garbe, Jonas Rosendahl, Valentin Garbe, Sebastian Krug, Jan W. Kantelhardt, Stephan Eisenmann, Patrick Michl
Publikováno v:
Wiener klinisches Magazin. 24:216-222
Die Propofolsedierung wahrend endoskopischer Eingriffe ist ein etabliertes und weitgehend sicheres Verfahren. Insbesondere bei langen Untersuchungen, Notfallen und Komorbiditaten steigt das Risiko fur Sedierungszwischenfalle jedoch sprunghaft an. Ein
Autor:
Meir Plotnik, Moritz Günther, Eitan E. Asher, Orr Levy, Shlomo Havlin, Ronny P. Bartsch, Shay Moshel, Jan W. Kantelhardt
Publikováno v:
Communications Biology, Vol 4, Iss 1, Pp 1-10 (2021)
Communications Biology
Communications Biology
Freezing of gait (FoG), a paroxysmal gait disturbance commonly experienced by patients with Parkinson’s disease (PD), is characterized by sudden episodes of inability to generate effective forward stepping. Recent studies have shown an increase in
Autor:
Jan W. Kantelhardt, Stephan Eisenmann, Jonas Rosendahl, Patrick Michl, Jakob Garbe, Florian Duenninghaus
Publikováno v:
United European Gastroenterology Journal
Background Reliable and safe sedation is a prerequisite for endoscopic interventions. The current standard is rather safe, yet, an objective device to measure sedation depth is missing. To date, anaesthesia monitors based on processed electroencephal
Publikováno v:
Frontiers in Network Physiology
We systematically compare strengths and weaknesses of two methods that can be used to quantify causal links between time series: Granger-causality and Bivariate Phase Rectified Signal Averaging (BPRSA). While a statistical test method for Granger-cau
Autor:
Thomas Penzel, Jan W Kantelhardt, Ronny P Bartsch, Maik Riedl, Jan Krämer, Niels Wessel, Carmen Garcia, Martin Glos, Ingo Fietze, Christoph Schöbel
Publikováno v:
Frontiers in Physiology, Vol 7 (2016)
The cardiac component of cardio-respiratory polysomnography is covered by ECG and heart rate recordings. However their evaluation is often underrepresented in summarizing reports. As complements to EEG, EOG, and EMG, these signals provide diagnostic
Externí odkaz:
https://doaj.org/article/38214dbe35574d45b1f7993b9750b824