Biosignals as measurement of the human body’s functions provide useful information regarding human condition. Thus, the analysis of biomedical signals has become one of the most important methods for both interpretations and visualization in numerous research areas such as inter alia biology or medicine. They also play a very important role in health monitoring, diagnosis, but also as a source of data for the control purposes (in Human-Machine Interfaces). It has also led to development of numerous modern instruments designed for their detection, storage, transmission, and analysis. As the biological signals appear to be random (stochastic), it is impossible to predict their value in any time instant and therefore only statistical measures may be used in order to determine their features.
Recent advances in signal computational methods have enabled the biomedical signals in an efficient way in order to extract appropriate features and has been an interesting subject for numerous research groups for over 40 years. More and more sophisticated methods are being developed and applied including various classifiers and filters. This Research Topic should focus on the most current trends in analysis of the most popular biosignals such as EEG, ECG, EMG, which would be processed for various applications such as inter alia clinical (rehabilitation, diagnostic purposes) or control (human-machine interaction).
This Research Topic “Currents in Biomedical Signals Processing - Methods and Applications” aims to provide a collection of contributions showing new advancements and applications of advanced processing of biosignals for various applications. Topics relevant to analysis of various biosignals are welcome. The scope of the Research Topic includes, but is not limited to, the following topics:
-Analysis and processing of biosignals
-Modern pattern-recognition methods
-Clinical applications of biomedical signals
-Implementation of biomedical signals for the control purposes
-Human-Machine Interfaces
-Computational Neuroscience
-Neurodegenerative Disorders - new treatment approaches
Research papers as well as review papers are welcome for submission.
Biosignals as measurement of the human body’s functions provide useful information regarding human condition. Thus, the analysis of biomedical signals has become one of the most important methods for both interpretations and visualization in numerous research areas such as inter alia biology or medicine. They also play a very important role in health monitoring, diagnosis, but also as a source of data for the control purposes (in Human-Machine Interfaces). It has also led to development of numerous modern instruments designed for their detection, storage, transmission, and analysis. As the biological signals appear to be random (stochastic), it is impossible to predict their value in any time instant and therefore only statistical measures may be used in order to determine their features.
Recent advances in signal computational methods have enabled the biomedical signals in an efficient way in order to extract appropriate features and has been an interesting subject for numerous research groups for over 40 years. More and more sophisticated methods are being developed and applied including various classifiers and filters. This Research Topic should focus on the most current trends in analysis of the most popular biosignals such as EEG, ECG, EMG, which would be processed for various applications such as inter alia clinical (rehabilitation, diagnostic purposes) or control (human-machine interaction).
This Research Topic “Currents in Biomedical Signals Processing - Methods and Applications” aims to provide a collection of contributions showing new advancements and applications of advanced processing of biosignals for various applications. Topics relevant to analysis of various biosignals are welcome. The scope of the Research Topic includes, but is not limited to, the following topics:
-Analysis and processing of biosignals
-Modern pattern-recognition methods
-Clinical applications of biomedical signals
-Implementation of biomedical signals for the control purposes
-Human-Machine Interfaces
-Computational Neuroscience
-Neurodegenerative Disorders - new treatment approaches
Research papers as well as review papers are welcome for submission.