Shiva Priya

Kumaraguru College of Technology · Department of Electronics & Communication Engg

Electrocardiogram (ECG) signals represent the heart’s electrical activity in terms of P-QRS-T wave components. It is necessary to denoise and extract the components from the raw ECG signal, which is fetched from the electrodes placed on the human chest. This work compares the Pan-Tompkins and Wavelet transform Technique for extracting predominant f...

In present time, skin cancer is the deadliest disease among humans. In US, two persons die every hour owing to skin cancer. Skin cancer is developed on the body when exposed to sunlight and is the abnormal growth of the skin cell. The patient’s life can be saved through earlier and faster detection of skin cancer. The formal method of skin cancer d...

In agricultural land, there are lot of plants affected by number of diseases. Just like we can get sick, plants can get sick too and sometimes, the same type of things that make us sick can affect our green companions. A sick plant can even look under the weather. Its leaves may wilt or have holes in it. Early data on leaf well-being and sickness d...

This work investigates and compares a set of efficient techniques to extract and select striking features from the ECG data applicable in automatic cardiac beat classification. Each method was applied to a pre-selected data segment from the MIT-BIH (Massachusetts Institute of Technology / Beth Isrel Hospital) database. The classification and optimi...

The detection of ECG waves is important to cardiac disease diagnosis. A good system depends heavily upon the accurate and reliable detection of QRS complex as well as the T and P wave. In this paper first the noise is removed from the digitized ECG signal. Then Stationary Wavelet Transform (SWT) is applied to the de-noised signal. After that QRS co...