Digital Signal Processing Projects
A NOVEL SIGNAL MODELING APPROACH FOR CLASSIFICATION OF SEIZURE AND SEIZURE-FREE EEG SIGNALS
this paper presents a signal modeling based new methodology of automatic seizure detection in EEG s..
A Transferable Adaptive Domain Adversarial Neural Network for Virtual Reality Augmented EMG Based Gesture Recognition
Within the field of electromyography-based (EMG) gesture recognition, disparities exist between the..
Adaptive-Filter-Design-for-ECG-Noise-Reduction-using-LMS-Algorithm
In this paper, we present the design, implementation, and deployment of a wearable computing platfor..
An Accurate ECG-Based Transportation Safety Drowsiness Detection Scheme
Many traffic injuries and deaths are caused by the drowsiness of drivers during driving. Existing ..
Automated-diagnosis-of-normal-and-alcoholic-EEG-signals
Electroencephalogram (EEG) is a recording of the electrical activity of the brain from the brain wav..
Automatic Tuberculosis Screening Using Chest Radiographs
ABSTRACT Tuberculosis (TB) and HIV/A..
Brain Dynamics in Predicting Driving Fatigue Using a Recurrent Self-Evolving Fuzzy Neural Network
A generalized prediction system called a recurrent self-evolving fuzzy neural network (RSEFNN) tha..
Cross-Subject Zero Calibration Drivers Drowsiness Detection Exploring Spatiotemporal Image Encoding of EEG Signals for Convolutional Neural Network Classification
This paper explores two methodologies for drowsiness detection using EEG signals in a sustainedatte..
Detection of Atrial Fibrillation in Compressively Sensed Electrocardiogram Measurements
Atrial Fibrillation (AF) is a serious cardiovascular condition that can lead to complications, incl..
Diagnosis-of-Alzheimer-Disease-using-EEG-Signals
Alzheimer Disease is one of the most common & tremendously growing neurological diseases in the ..
DWT Based Detection of Epileptic Seizure From EEG Signals Using Naive Bayes and k NN Classifiers
Automatic artifact rejection is needed for effective real time inspection because manual rejection i..
Enhancing EEG Based Classification of Depression Patients Using Spatial Information
Background: Depression has become a leading mental disorder worldwide. Evidence has shown that subj..
Epileptic Seizure Prediction Based on Multivariate Statistical Process Control of Heart
Objective: The present study proposes a new epileptic seizure prediction method through integratin..
Extracting-Fetal-ECG-from-a-Single-Maternal-Abdominal-Record
Fetal ECG (FECG) is the electrical activity of fetal heart muscles and it can reveal vital informati..
Feature Extraction and Identification of Alzheimer’s Disease based on Latent Factor of Multi Channel EEG
Alzheimer’s disease is a neurodegenerative disease in old age, early diagnosis will help to delay t..