Biosignal generation and latent variable analysis with recurrent generative adversarial networks
The effectiveness of biosignal generation and data augmentation with biosignal generative
models based on generative adversarial networks (GANs), which are a type of deep …
models based on generative adversarial networks (GANs), which are a type of deep …
EEG signal-based movement control for mobile robots
Although wheelchair with joystick control is available, people whose hands are paralysed
cannot use the joystick and need other forms of assistance to move. This article presents the …
cannot use the joystick and need other forms of assistance to move. This article presents the …
[PDF][PDF] Bio-Medical Data Classification Approaches with Limited Annotation
原田翔太 - 2022 - catalog.lib.kyushu-u.ac.jp
This thesis aims to solve the problem of limited annotation in several bio-medical data
analysis tasks. Specifically, data augmentation, group-based labeling utilizing constrained …
analysis tasks. Specifically, data augmentation, group-based labeling utilizing constrained …
[PDF][PDF] ANALISIS KEUNIKAN FITUR CWT SINYAL EEG UNTUK PEMBUATAN LIMA INDIKATOR PENGENDALIAN KURSI RODA BCI
AKS FIRDAUS - core.ac.uk
SUMMARY Ahmad Kanzu Syauqi Firdaus, Postgraduate Program Brawijaya University,
2018. The Analysis of CWT Features' Uniqueness of EEG Signals to Generate BCI …
2018. The Analysis of CWT Features' Uniqueness of EEG Signals to Generate BCI …
The CWT Feature's Uniqueness Analysis of EEG Signal Against 5 BCI Wheelchair Control Indicators Using the Friedman Method
The analysis of the feature's uniqueness of the electroencephalograph (EEG) signal
extracted by continuous wavelet transform (CWT) method against the five BCI wheelchair …
extracted by continuous wavelet transform (CWT) method against the five BCI wheelchair …