Denoising Algorithm for Event-Related Desynchronization-Based Motor Intention Recognition in Robot-assisted Stroke Rehabilitation Training with Brain-Machine Interaction

Jia, Tianyu; Liu, Ke; Qian, Chao; Li, Chong; Ji, Linhong

doi:10.1016/j.jneumeth.2020.108909

Cited by 9 publications

(5 citation statements)

References 34 publications

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“…It was noteworthy that the task of pressing the balance handle button revealed a decrease in the ERD peak compared to the task of hand gripping and gamepad operation, which did not show much difference in exercise volume. The lower the ERD peak was, the higher the movement intention was; therefore, it can be inferred that a higher level of movement intention was expressed in the task of utilizing the balance handle [29]. However, for the ERS peak, the higher values reflected more short-term states of inhibiting movement, which corresponds to a previous study that the ERS phenomenon was not necessarily associated with muscle activation in motor cortical networks [30].…”

Section: Discussionsupporting

confidence: 64%

Detection of Movement Intention for Operating Methods of Serious Games

et al. 2021

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In many post-stroke cases, patients show dysfunctions in movement, cognition, sense, and language, depending on the damaged area of the brain. Active and repetitive physical rehabilitation centered on the stroke-affected side is essential for effective and rapid neurological recovery of upper extremity dysfunction due to hemiplegia. A symmetric upper extremity trainer is utilized to assist the patient body, depending upon the degree of hemiplegia. In this study, we developed a novel balance handle as a symmetric upper extremity trainer capable of extension, flexion, pronation, and supination of the upper extremity. We collected the surface electromyogram (sEMG) signal data while the subjects were playing a serious game and recorded the electroencephalogram (EEG) signal data while the subjects were performing basic movements with the balance handle, to analyze the effectiveness of the device as an assistive tool for rehabilitation. The triceps brachii were activated during the extension movements, whereas the biceps brachii and deltoid muscles were activated during the flexion movements. With the balance handle, the peak event-related desynchronization (ERD) values were relatively lower while showing higher peak event-related synchronization (ERS) values compared to other types of operating methods, such as hand gripping and gamepad operation. Movement intention of tilting the balance handle for the α and β waves was clearly distinguished from the other tasks. These data demonstrated the potential of various applications using the developed proof-of-concept upper extremity trainer to bring out an excellent rehabilitative effect not only through muscle growth but also via identification of large movement intentions inducing brain activation exercise.

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Section: Discussionsupporting

confidence: 64%

Detection of Movement Intention for Operating Methods of Serious Games

et al. 2021

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“…According to the influence on the signal, the noise model can be divided into additive noise and multiplicative noise. According to the principle of mean filter, a template is given; the mean value of all pixels in the template is used to replace the central pixel value of the original template [ 17 , 18 ].…”

Section: Methodsmentioning

confidence: 99%

Ultrasonic Elastography Combined with Human Papilloma Virus Detection Based on Intelligent Denoising Algorithm in Diagnosis of Cervical Intraepithelial Neoplasia

Sun

Shan

Dong

et al. 2021

Computational and Mathematical Methods in Medicine

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The aim of this research was to study the application of ultrasonic elastography combined with human papilloma virus (HPV) detection based on bilateral filter intelligent denoising algorithm in the diagnosis of cervical intraepithelial neoplasia (CIN) and provide a theoretical basis for clinical diagnosis and treatment of CIN. In this study, 100 patients with cervical lesions were selected as research objects and randomly divided into control group and experimental group, with 50 cases in each group. Patients in control group and experimental group were diagnosed by ultrasonic elastography combined with HPV detection. The experimental group used the optimized image map of bilateral filter intelligent denoising algorithm for denoising and optimization, while the control group did not use optimization, and the differences between them were analyzed and compared. The diagnostic effects of the two groups were compared. As a result, the three accuracy rates of the experimental group were 95%, 95%, and 98%, respectively; the three sensitivity rates were 96%, 92%, and 94%, respectively; and the three specificity rates were 99%, 97%, and 98%, respectively. In the control group, the three accuracy rates were 84%, 86%, and 84%, respectively; the three sensitivity rates were 88%, 84%, and 86%, respectively; and the three specificity rates were 81%, 83%, and 88%, respectively. The accuracy, sensitivity, and specificity of experiment group were significantly higher than those of control group, and the difference was statistically significant ( P < 0.05 ). In summary, the bilateral filter intelligent denoising algorithm has a good denoising effect on the ultrasonic elastography. The ultrasonic image processed by the algorithm combined with HPV detection has a better diagnosis of CIN.

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“…In the process of rehabilitation training, functional training and specific task training are the key elements of treatment, designed to help stroke patients restore motor control and achieve normal functional movement patterns [29]. Rehabilitation training for stroke patients focuses on the affected limbs or bilateral symmetrical movement through exercise reeducation to effectively improve the movement control and strength of the patient's body and limbs [30].…”

Section: Application Of Vr In Stroke Rehabilitationmentioning

confidence: 99%

Virtual Reality Neurorehabilitation

Lv¹,

Guo²

2022

International Journal of Mental Health Promotion

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The present work investigates the application of virtual reality (VR) technology to neurorehabilitation. By consulting a wealth of data, the advantages of VR in neurorehabilitation are introduced, followed by the application status of VR in the rehabilitation of stroke patients, Parkinson's patients, mental and psychological diseases. Besides, many research experiments on the application of VR technology in rehabilitation medicine at the present stage are investigated. The results indicate that compared with traditional balance training, the VR-based neurological rehabilitation training method can more effectively ease the tilt degree and strengthen the trunk control ability and balance function of patients with post-stroke tilt syndrome. When the effect of traditional rehabilitation training on the gait and balance of Parkinson's patients is not good enough, VR-based rehabilitation training can at least be used as an alternative therapy. Moreover, VR games have made great breakthroughs in promoting limb rehabilitation and brain injury rehabilitation, which is of incredible benefit to those with motor and activity disorders. It is also beneficial to the treatment and recovery of mental disorders of patients with nerve injury. Although VR still has limitations such as high cost and technical breakthrough bottleneck, it has great advantages in relieving pain, enhancing interest, and recovering patients' mental health in neurological rehabilitation training.

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Denoising Algorithm for Event-Related Desynchronization-Based Motor Intention Recognition in Robot-assisted Stroke Rehabilitation Training with Brain-Machine Interaction

Cited by 9 publications

References 34 publications

Detection of Movement Intention for Operating Methods of Serious Games

Detection of Movement Intention for Operating Methods of Serious Games

Ultrasonic Elastography Combined with Human Papilloma Virus Detection Based on Intelligent Denoising Algorithm in Diagnosis of Cervical Intraepithelial Neoplasia

Virtual Reality Neurorehabilitation

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