Eeg-based seizure detection using variable-frequency complex demodulation and convolutional neural networks

YR Veeranki, R McNaboe, HF Posada-Quintero - Signals, 2023 - mdpi.com
Epilepsy is a complex neurological disorder characterized by recurrent and unpredictable
seizures that affect millions of people around the world. Early and accurate epilepsy …

Non-Linear Signal Processing Methods for Automatic Emotion Recognition using Electrodermal Activity

YR Veeranki, LRM Diaz, R Swaminathan… - IEEE Sensors …, 2024 - ieeexplore.ieee.org
Detection of emotional states plays a prominent role in affective computing, decision-
making, and healthcare. Physiological signals are an ideal target for continuous and …

Electrodermal activity-based analysis of emotion recognition using temporal-morphological features and machine learning algorithms

P Sriram Kumar, PK Govarthan… - Journal of Mechanics …, 2023 - World Scientific
In this study, we evaluated the performance of tonic and phasic components of
Electrodermal activity (EDA) using machine learning algorithms for accurately recognizing …

Comparison of Electrodermal Activity Signal Decomposition Techniques for Emotion Recognition

YR Veeranki, N Ganapathy, R Swaminathan… - IEEE …, 2024 - ieeexplore.ieee.org
Emotions play an essential role in human life as they are linked to well-being and markers of
various diseases. Physiological signals can be used to assess emotions objectively and …

Detecting Psychological Interventions Using Bilateral Electromyographic Wearable Sensors

YR Veeranki, S Garcia-Retortillo, Z Papadakis… - Sensors, 2024 - mdpi.com
This study investigated the impact of auditory stimuli on muscular activation patterns using
wearable surface electromyography (EMG) sensors. Employing four key muscles …

Temporal Dynamics and Physical Priori Multimodal Network for Rehabilitation Physical Training Evaluation

S Gao, J Chen, X Chen, J Uchitel… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
Sensor-based rehabilitation physical training assessment methods have attracted significant
attention in refined evaluation scenarios. A refined rehabilitation evaluation method …

Electroencephalographic Signal Data Augmentation Based on Improved Generative Adversarial Network

X Du, X Wang, L Zhu, X Ding, Y Lv, S Qiu, Q Liu - Brain Sciences, 2024 - mdpi.com
EEG signals combined with deep learning play an important role in the study of human–
computer interaction. However, the limited dataset makes it challenging to study EEG …

Automated Emotion Recognition System Using Blood Volume Pulse and XGBoost Learning

LN Lebaka, PK Govarthan, P Rani… - … with informatics and …, 2023 - ebooks.iospress.nl
In this study, a new method for detecting emotions using Blood Volume Pulse (BVP) signals
and machine learning was presented. The BVP of 30 subjects from the publicly available …