Biosignal-based human–machine interfaces for assistance and rehabilitation: A survey

D Esposito, J Centracchio, E Andreozzi, GD Gargiulo… - Sensors, 2021 - mdpi.com
As a definition, Human–Machine Interface (HMI) enables a person to interact with a device.
Starting from elementary equipment, the recent development of novel techniques and …

Recent progress in wearable brain–computer interface (BCI) devices based on electroencephalogram (EEG) for medical applications: a review

J Zhang, J Li, Z Huang, D Huang, H Yu, Z Li - Health Data Science, 2023 - spj.science.org
Importance: Brain–computer interface (BCI) decodes and converts brain signals into
machine instructions to interoperate with the external world. However, limited by the …

Synchronization in fractional-order neural networks by the energy balance strategy

Z Yao, K Sun, S He - Cognitive Neurodynamics, 2024 - Springer
Considering the individual differences between neurons, the fractional-order framework is
introduced, and the neurons with various orders denote the individual differences during the …

Eye-Gaze controlled wheelchair based on deep learning

J Xu, Z Huang, L Liu, X Li, K Wei - Sensors, 2023 - mdpi.com
In this paper, we design a technologically intelligent wheelchair with eye-movement control
for patients with ALS in a natural environment. The system consists of an electric wheelchair …

Eye-movement-controlled wheelchair based on flexible hydrogel biosensor and wt-svm

X Wang, Y Xiao, F Deng, Y Chen, H Zhang - Biosensors, 2021 - mdpi.com
To assist patients with restricted mobility to control wheelchair freely, this paper presents an
eye-movement-controlled wheelchair prototype based on a flexible hydrogel biosensor and …

BCI wheelchair control using expert system classifying EEG signals based on power spectrum estimation and nervous tics detection

D Pawuś, S Paszkiel - Applied Sciences, 2022 - mdpi.com
The constantly developing biomedical engineering field and newer and more advanced BCI
(brain–computer interface) systems require their designers to constantly develop and search …

The application of integration of EEG signals for authorial classification algorithms in implementation for a mobile robot control using movement imagery—Pilot study

D Pawuś, S Paszkiel - Applied Sciences, 2022 - mdpi.com
This paper presents a new approach to the issue of recognition and classification of
electroencephalographic signals (EEG). A small number of investigations using the Emotiv …

Application of EEG signals integration to proprietary classification algorithms in the implementation of mobile robot control with the use of motor imagery supported by …

D Pawuś, S Paszkiel - Applied Sciences, 2022 - mdpi.com
This article is a continuation and extension of research on a new approach to the
classification and recognition of EEG signals. Their goal is to control the mobile robot …

Vision-Based Eye Image Classification for Ophthalmic Measurement Systems

G Gibertoni, G Borghi, L Rovati - Sensors, 2022 - mdpi.com
The accuracy and the overall performances of ophthalmic instrumentation, where specific
analysis of eye images is involved, can be negatively influenced by invalid or incorrect …

Assessment of Model Accuracy in Eyes Open and Closed EEG Data: Effect of Data Pre-Processing and Validation Methods

J Mattiev, J Sajovic, G Drevenšek, P Rogelj - Bioengineering, 2022 - mdpi.com
Eyes open and eyes closed data is often used to validate novel human brain activity
classification methods. The cross-validation of models trained on minimally preprocessed …