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Stroke is a group of ischemic brain injury and hemorrhagic symptoms as the main clinical manifestations of the disease, also known as brain stroke or cerebral vascular accident, with a high mortality and morbidity, divided into hemorrhagic stroke ( cerebral hemorrhage or subarachnoid hemorrhage) and ischemic stroke (cerebral infarction, cerebral thrombosis formation) two categories for cerebral infarction is most common
.
Stroke has a rapid onset and high fatality rate.
Stroke is a group of ischemic brain injury and hemorrhagic symptoms as the main clinical manifestations of the disease, also known as brain stroke or cerebral vascular accident, with a high mortality and morbidity, divided into hemorrhagic stroke ( cerebral hemorrhage or subarachnoid hemorrhage) and ischemic stroke (cerebral infarction, cerebral thrombosis formation) two categories for cerebral infarction is most common
There are many conventional physical therapy methods for sports recovery after stroke, such as therapy and treadmill training
.
In addition, alternative rehabilitation therapies based on robotics, such as exoskeletons and smart walkers, are being developed for gait recovery
Brain-machine interface (BCI) and brain-machine interface (BMI) are communication systems that measure central nervous system (CNS) activity and convert it to replace, restore, enhance and supplement artificial output.
By improving the output of the natural central nervous system, Thereby changing the continuous interaction between the central nervous system and its external or internal environment
.
The electroencephalogram (EEG)-based system is designed for the rehabilitation of patients after stroke and provides a way to control terminal applications such as functional electrical stimulation and robotic exoskeleton
This research aims to develop a BMI based on low computational cost technology to provide a more natural closed loop.
Experimental flowchart
Experimental flowchartBMI is divided into 3 subsystems: signal acquisition, signal processing and computer interface
.
The proposed EEG signal processing and pedaling image recognition system is divided into two stages: a) BMI correction using resting and pedaling EEG data; b) Online when the participant triggers the machine to send control commands by executing the pedal Recognition
Myocardial infarction
Experimental setup diagram
The LDA classifier is used to distinguish between static state and pedaling
.
This classifier has shown promising results in other studies using brain-computer interfaces based on EEG to recognize real or imagined motor tasks
The results showed that PWPF performed best in healthy subjects (ACC=68.
23) ± 2.
22%, Kappa=0.
36 ± 0.
04, TPR=72.
92 ± 4.
38%, FPR=36.
46 ± 5.
44%) and post-stroke patients (for PS1, ACC=75%, Kappa=0.
50, TPR=66.
67%, FPR=16.
67%, and for PS2, ACC=83.
33%, Kappa=0.
67, TPR=75%, FPR=8.
33%)
.
During the calibration phase, OpenViBE's FPR values for healthy subjects were between 14.
After the stroke, the patient's performance improved from stage 1 to stage 2
.
For example, patient PS1 triggered only one MMEB trial in the first course, but increased to five successful trials in the second course, while patient PS2 successfully completed seven and seven trials in the first and second courses, respectively.
In short, this article has developed a portable low-cost BMI pedal rehabilitation, which is mainly composed of low-cost, open-source hardware and software, and can be promoted as a low-cost lower limb rehabilitation system for stroke patients
.
.
Romero-Laiseca MA, Delisle-Rodriguez D, Cardoso V, et al.
A Low-Cost Lower-Limb Brain-Machine Interface Triggered by Pedaling Motor Imagery for Post-Stroke Patients Rehabilitation [J].
IEEE Transactions on Neural Systems and Rehabilitation Engineering
A Low-Cost Lower-Limb Brain-Machine Interface Triggered by Pedaling Motor Imagery for Post-Stroke Patients Rehabilitation [J].
IEEE Transactions on Neural Systems and Rehabilitation Engineering A Low-Cost Lower-Limb Brain -Machine Interface Triggered by pedaling Motor Imagery for Post-Stroke Patients Rehabilitation in this message