Acquisition and Processing of Biomedical Signals and images using Machine Learning скачать в хорошем качестве

Acquisition and Processing of Biomedical Signals and images using Machine Learning

Coverage of the lecture given in FDP organized by College of Engineering Pune. In this video following topics are covered: 0:01 Introduction to the Speaker background by the organizer. 2:09 Overview of the topics covered in the lecture. 3:51 Acquisition of Biomedical Signals 4:18 Acquisition of Electroencephalography (EEG) and its analysis. 12:21 Acquisition of Electrocardiography (ECG) and its analysis. 15:37 Acquisition of Electromyography (EMG) and its analysis. 23:45 Acquisition of Medical Images and their uses to scan different part of human body. 31:31 Challenges for the radiologists to diagnose medical images. 32:34 Introduction to Machine learning to design computer aided diagnosis (CAD) System. 34:09 How extracting texture features help machine to detect the abnormality present. 44:03 Type of information we get by determining Graylevel Co-occurrence Matrix (GLCM) and extracting texture features. 1:03:55 Extraction of texture features using Local Binary Pattern (LBP). Method to design rotational invariant LBP. 1:12:51 Standardization of data that is of Extracted Features: Purpose and methodology. 1:14.53 Latent representation of the data. Explained using the working of Principle component analysis (PCA). 1:18:07 Requirement to implement Feature Selection methods to select relevant features. 1:23:41 Approach/Concept used to design classifier to predict the abnormality. 1:31:43 Brief explanation of the working of Convolutional Neural Network (CNN) 1:38:50 Application of Machine Learning in Medical Image 1:39:05 CAD system for the classification of Liver Ultrasound images. 1:46:15 Image Enhancement using Machine Learning 1:50:31 Application of Machine Learning in BioMedical Signals.