Michael Schiek

Publication Activity (10 Years)

Years Active: 2007-2021
Publications (10 Years): 11

Top Topics

Electro Hydraulic

Spiking Neural Networks

Top Venues

IEEE J. Biomed. Health Informatics

Publications

R. Kleijnen, Markus Robens, Michael Schiek, Stefan van Waasen
A Network Simulator for the Estimation of Bandwidth Load and Latency Created by Heterogeneous Spiking Neural Networks on Neuromorphic Computing Communication Networks. MCSoC (2021)
Markus Robens, Christian Grewing, Michael Schiek, Stefan van Waasen
Effective Low-Pass Filter Function Due to the Use of a Comb Filter and Virtual Oversampling. ISCAS (2021)
Tao Chen, Michael Schiek, Jürgen Dammers, N. Jon Shah, Stefan van Waasen
Requirement-driven model-based development methodology applied to the design of a real-time MEG data processing unit. Softw. Syst. Model. 19 (6) (2020)
Sergey Suslov, Michael Schiek, Markus Robens, Christian Grewing, Stefan van Waasen
Simulating Heterogeneous Models on Multi-Core Platforms using Julia's Computing Language Parallel Potential. DS-RT (2020)
F. Seidler, Michael Schiek, W. Silex, R. Heil, Stefan van Waasen, Dirk Abel
Iterative Learning Wave Control of a 20 Actuator System for External Flow Research. CoDIT (2019)
Yu Yao, Sudhir Raman, Michael Schiek, Alexander P. Leff, Stefan Frässle, Klaas E. Stephan
Variational Bayesian inversion for hierarchical unsupervised generative embedding (HUGE). NeuroImage 179 (2018)
F. Seidler, Michael Schiek, W. Silex, R. Heil, Stefan van Waasen, Dirk Abel
Iterative Learning Control and Decoupling of Lorentz Force Based Actuator Systems for Turbulence Research. CCTA (2018)
S. Volkel, R. Heil, Michael Schiek, Mario Schlösser, W. Silex, Stefan van Waasen
Smooth wavelength transition in a Lorentz force based actuator system for turbulence research. IEEE SENSORS (2017)
F. Seidler, Michael Schiek, W. Silex, R. Heil, Stefan van Waasen, Dirk Abel
Sensors for waveform control in a Lorentz force based actuator system for turbulence research. IEEE SENSORS (2017)
Tao Chen, Sergey Suslov, Michael Schiek, N. Jon Shah, Stefan van Waasen, Jürgen Dammers
Model-Driven Development Methodology Applied to Real-Time MEG Signal Preprocessing System Design. EMS (2017)
Yu Yao, Guanghao Sun, Takemi Matsui, Yukiya Hakozaki, Stefan van Waasen, Michael Schiek
Multiple Vital-Sign-Based Infection Screening Outperforms Thermography Independent of the Classification Algorithm. IEEE Trans. Biomed. Eng. 63 (5) (2016)
Marcel Dueck, Dirk Abel, Stefan van Waasen, Michael Schiek
Transversal surface wave control by gain switching iterative learning improving research on active turbulent flow control. AuCC (2015)
Oscar F. Cota, Mario Schlösser, Michael Schiek, Thomas Stieglitz, Mortimer Gierthmuehlen, Dennis T. T. Plachta
iNODE in-vivo testing for selective vagus nerve recording and stimulation. NER (2015)
Yu Yao, J. Schiefer, Stefan van Waasen, Michael Schiek
A non-parametric model for Ballistocardiography. SSP (2014)
Yu Yao, Christoph Brüser, Uwe Pietrzyk, Steffen Leonhardt, Stefan van Waasen, Michael Schiek
Model-Based Verification of a Non-Linear Separation Scheme for Ballistocardiography. IEEE J. Biomed. Health Informatics 18 (1) (2014)
Hong Ying, Mario Schlösser, Andreas Schnitzer, Thorsten Schäfer, Marianne E. Schläfke, Steffen Leonhardt, Michael Schiek
Distributed Intelligent Sensor Network for the Rehabilitation of Parkinson's Patients. IEEE Trans. Inf. Technol. Biomed. 15 (2) (2011)
Jürgen Dammers, Michael Schiek, Frank Boers, Carmen Silex, Mikhail Zvyagintsev, Uwe Pietrzyk, Klaus Mathiak
Integration of Amplitude and Phase Statistics for Complete Artifact Removal in Independent Components of Neuromagnetic Recordings. IEEE Trans. Biomed. Eng. 55 (10) (2008)
Hong Ying, Carmen Silex, Andreas Schnitzer, Steffen Leonhardt, Michael Schiek
Automatic Step Detection in the Accelerometer Signal. BSN (2007)