publication . Thesis

Intelligent ECG processing and abnormality detection using adaptive ensemble models

Pandit, Diptangshu;
Open Access English
  • Country: United Kingdom
This thesis explores the automated Electrocardiogram (ECG) signal analysis and the feasibility of using a set of computationally inexpensive algorithms to process raw ECG signals for abnormality detection. The work is divided into three main stages which serve towards the main aim of this research, i.e. the abnormality detection from single channel raw ECG signals.\ud \ud In the first stage, a lightweight baseline correction algorithm is proposed along with a modified moving window average method for real-time noise reduction. Additionally, for further offline analysis, a wavelet transform and adaptive thresholding based method is proposed for noise reduction to...
free text keywords: G900
Related Organizations
Powered by OpenAIRE Research Graph
Any information missing or wrong?Report an Issue