Beyond mobile apps: a survey of technologies for mental well-being

K Woodward, E Kanjo, DJ Brown… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Mental health problems are on the rise globally and strain national health systems
worldwide. Mental disorders are closely associated with fear of stigma, structural barriers …

[HTML][HTML] A hybrid FPGA-based system for EEG-and EMG-based online movement prediction

H Wöhrle, M Tabie, SK Kim, F Kirchner, EA Kirchner - Sensors, 2017 - mdpi.com
A current trend in the development of assistive devices for rehabilitation, for example
exoskeletons or active orthoses, is to utilize physiological data to enhance their functionality …

[HTML][HTML] pySPACE—a signal processing and classification environment in Python

MM Krell, S Straube, A Seeland, H Wöhrle… - Frontiers in …, 2013 - frontiersin.org
In neuroscience large amounts of data are recorded to provide insights into cerebral
information processing and function. The successful extraction of the relevant signals …

[HTML][HTML] An intelligent man-machine interface—multi-robot control adapted for task engagement based on single-trial detectability of p300

EA Kirchner, SK Kim, M Tabie, H Wöhrle… - Frontiers in human …, 2016 - frontiersin.org
Advanced man-machine interfaces (MMIs) are being developed for teleoperating robots at
remote and hardly accessible places. Such MMIs make use of a virtual environment and can …

[HTML][HTML] Comparison of sensor selection mechanisms for an ERP-based brain-computer interface

D Feess, MM Krell, JH Metzen - PloS one, 2013 - journals.plos.org
A major barrier for a broad applicability of brain-computer interfaces (BCIs) based on
electroencephalography (EEG) is the large number of EEG sensor electrodes typically used …

A formal model for embedded brain reading

E Andrea Kirchner, R Drechsler - Industrial Robot: An International …, 2013 - emerald.com
Purpose–The presented work contributes to research in the field of advanced man-machine
interaction and to research in the field of formalisation and verification of complex systems …

Generalizing, decoding, and optimizing support vector machine classification

MM Krell - arXiv preprint arXiv:1801.04929, 2018 - arxiv.org
The classification of complex data usually requires the composition of processing steps.
Here, a major challenge is the selection of optimal algorithms for preprocessing and …

Data acquisition system of 16-channel EEG based on ATSAM3X8E ARM Cortex-M3 32-bit microcontroller and ADS1299

L Toresano, SK Wijaya, P Prawito… - AIP Conference …, 2017 - pubs.aip.org
The prototype of the EEG (electroencephalogram) instrumentation systems has been
developed based on 32-bit microcontrollers of Cortex-M3 ATSAM3X8E and Analog Front …

Memory and processing efficient formula for moving variance calculation in EEG and EMG signal processing

MM Krell, M Tabie, H Wöhrle… - International Congress on …, 2013 - scitepress.org
Adaptation of human-machine interaction devices by means of physiological data requires
online analysis. We introduce new update formulas for otherwise time-demanding …

Catalogic systematic literature review of hardware-accelerated neurodiagnostic systems

R Mittal, AA Prince - Biomedical Signals Based Computer-Aided Diagnosis …, 2022 - Springer
Computer-aided diagnosis (CAD) plays a key role in automating and enhancing the
diagnosis of complex neurological disorders. Computers are not just used to automate the …