Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Hedian Jin"'
Publikováno v:
Cyborg and Bionic Systems, Vol 2021 (2021)
In some patients who have suffered an amputation or spinal cord injury, walking ability may be degraded or deteriorated. Helping these patients walk independently on their own initiative is of great significance. This paper proposes a method to ident
Externí odkaz:
https://doaj.org/article/2f89b17c1b7148b2b70c55ef19b40e39
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering. 28:531-540
Objective: Most BCI (brain-computer interface) studies have focused on detecting motion intention from a resting state. However, the dynamic regulation of two motion states, which usually happens in real life, is rarely studied. Besides, popular with
Publikováno v:
Cyborg and Bionic Systems, Vol 2021 (2021)
In some patients who have suffered an amputation or spinal cord injury, walking ability may be degraded or deteriorated. Helping these patients walk independently on their own initiative is of great significance. This paper proposes a method to ident
Publikováno v:
Computational Intelligence and Neuroscience
Computational Intelligence and Neuroscience, Vol 2018 (2018)
Computational Intelligence and Neuroscience, Vol 2018 (2018)
Rehabilitation training is essential for motor dysfunction patients, and the training through their subjective motion intention, comparing to passive training, is more conducive to rehabilitation. This study proposes a method to identify motion inten
Publikováno v:
IEEE Robotics and Automation Letters. 3:532-536
To achieve more intelligent performance for walking-assistive devices, spontaneous motion intention of walking speed should be identified for providing a control command. In this letter, cerebral hemoglobin information was analyzed to recognize three
Publikováno v:
ICARM
Stroke which is a common major disease has become the primary cause of disability in adults. As a promising solution for a range of neurological conditions, functional near-infrared spectroscopy (fNIRS) has received growing attention in recent years.
Publikováno v:
2018 IEEE 8th Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER).
In this paper, we aim to achieve the construction of 4-class fNIRS-BCI system. The system performed in assistive-device could help patients with dyskinesia carry out multiple action paradigms of rehabilitation training, and it could provide power ass
Publikováno v:
ICARM
To achieve more intelligent performance for walking-assistive devices, spontaneous motion intention of walking speed should be identified for providing a control command. In this paper, cerebral hemoglobin information was analyzed to recognize three
Publikováno v:
SII
Controlling rehabilitation training using patients' desired motion states is helpful to motivate their active participation, and further to improve training effect. Generally, motion states are recognized by applying EMG or biomechanics information,
Publikováno v:
ITM Web of Conferences, Vol 12, p 01012 (2017)
To improve the effect of walking-assistive devices, there is a need for it to develop devices controlled by spontaneous intention of patients. In recent study, we identified spontaneous motion intention of walking step based on cerebral hemoglobin in