Physical principles of brain–computer interfaces and their applications for rehabilitation, robotics and control of human brain states
Brain–computer interfaces (BCIs) development is closely related to physics. In this paper, we
review the physical principles of BCIs, and underlying novel approaches for registration …
review the physical principles of BCIs, and underlying novel approaches for registration …
EEG-based BCI control schemes for lower-limb assistive-robots
Over recent years, brain-computer interface (BCI) has emerged as an alternative
communication system between the human brain and an output device. Deciphered intents …
communication system between the human brain and an output device. Deciphered intents …
A review on utilizing machine learning technology in the fields of electronic emergency triage and patient priority systems in telemedicine: Coherent taxonomy …
Background With the remarkable increasing in the numbers of patients, the triaging and
prioritizing patients into multi-emergency level is required to accommodate all the patients …
prioritizing patients into multi-emergency level is required to accommodate all the patients …
[HTML][HTML] Review of research and development of supernumerary robotic limbs
Y Tong, J Liu - IEEE/CAA Journal of Automatica Sinica, 2021 - ieee-jas.net
Supernumerary robotic limbs (SRLs) are a new type of wearable human auxiliary
equipment, which is currently a hot research topic in the world. SRLs have broad …
equipment, which is currently a hot research topic in the world. SRLs have broad …
Exoskeleton robots for lower limb assistance: A review of materials, actuation, and manufacturing methods
F Hussain, R Goecke… - Proceedings of the …, 2021 - journals.sagepub.com
The field of robot-assisted physical rehabilitation and robotics technology for providing
support to the elderly population is rapidly evolving. Lower limb robot aided rehabilitation …
support to the elderly population is rapidly evolving. Lower limb robot aided rehabilitation …
Lower limb motion intention recognition based on sEMG fusion features
P Zhang, J Zhang, A Elsabbagh - IEEE Sensors Journal, 2022 - ieeexplore.ieee.org
Surface Electromyography (sEMG) has been extensively used for gait analysis and robotic
control. Since the low accuracy of intention recognition limits the development of …
control. Since the low accuracy of intention recognition limits the development of …
Brain-controlled adaptive lower limb exoskeleton for rehabilitation of post-stroke paralyzed
Stroke is a standout amongst the most imperative reasons of incapacity on the planet. Due to
partial or full paralysis, the majority of patients are compelled to rely upon parental figures …
partial or full paralysis, the majority of patients are compelled to rely upon parental figures …
Sensor-driven achieving of smart living: A review
P Leelaarporn, P Wachiraphan, T Kaewlee… - IEEE Sensors …, 2021 - ieeexplore.ieee.org
This comprehensive review mainly analyzes and summarizes the recently published works
on IEEExplore in sensor-driven smart living contexts. We have gathered over 150 research …
on IEEExplore in sensor-driven smart living contexts. We have gathered over 150 research …
Embodiment of supernumerary robotic limbs in virtual reality
K Arai, H Saito, M Fukuoka, S Ueda, M Sugimoto… - Scientific reports, 2022 - nature.com
The supernumerary robotic limb system expands the motor function of human users by
adding extra artificially designed limbs. It is important for us to embody the system as if it is a …
adding extra artificially designed limbs. It is important for us to embody the system as if it is a …
Synergy-based neural interface for human gait tracking with deep learning
Neural information decomposed from electromyography (EMG) signals provides a new path
of EMG-based human-machine interface. Instead of the motor unit decomposition-based …
of EMG-based human-machine interface. Instead of the motor unit decomposition-based …