scholarly journals Simultaneous classification of bilateral hand gestures using bilateral microelectrode recordings in a tetraplegic patient

Author(s):  
Tessy M. Thomas ◽  
Robert W. Nickl ◽  
Margaret C. Thompson ◽  
Daniel N. Candrea ◽  
Matthew S. Fifer ◽  
...  

ABSTRACTMost daily tasks require simultaneous control of both hands. Here we demonstrate simultaneous classification of gestures in both hands using multi-unit activity recorded from bilateral motor and somatosensory cortices of a tetraplegic participant. Attempted gestures were classified using hierarchical linear discriminant models trained separately for each hand. In an online experiment, gestures were continuously classified and used to control two robotic arms in a center-out movement task. Bimanual trials that required keeping one hand still resulted in the best performance (70.6%), followed by symmetric movement trials (50%) and asymmetric movement trials (22.7%). Our results indicate that gestures can be simultaneously decoded in both hands using two independently trained hand models concurrently, but online control using this approach becomes more difficult with increased complexity of bimanual gesture combinations. This study demonstrates the potential for restoring simultaneous control of both hands using a bilateral intracortical brain-machine interface.

2021 ◽  
Author(s):  
Liljana Bozinovska ◽  
Bozinovski Adrijan

This paper reviews efforts in a new direction of the EEG research, the direction of EEG emulated control circuits. Those devices are used in brain computer interface (BCI) research. BCI was introduced 1973 as a challenge of using EEG signals to control objects external to the human body. In 1988 an EEG-emulated switch was used in a brain machine interface (BMI) for control of a mobile robot. The same year a closed loop CNV paradigm was used in a BMI to control a buzzer. In 2005 a CNV flip-flop was introduced which opened the direction of EEG-emulated control circuits. The CNV flip-flop was used for BMI control of a robotic arm in 2009, and for control of two robotic arms in 2011. In 2015 an EEG demultiplexer was introduced. The EEG emulated demultiplexer demonstrated control of a robotic arm to avoid an obstacle. The concept of an EEG emulated modem was also introduced. This review is a contribution toward investigation in this new direction of EEG research.


Author(s):  
Md. Ochiuddin Miah ◽  
Sakib Shahriar Khan ◽  
Swakkhar Shatabda ◽  
Khondaker Abdullah Al Mamun ◽  
Dewan Md. Farid

Sign in / Sign up

Export Citation Format

Share Document