Research Article
Image Extraction of ECG Signals on Human Emotions Using Wavelet Transformation
@INPROCEEDINGS{10.4108/eai.24-10-2018.2280625, author={Jaenal Arifin and Norma Amalia and Yulian Zetta Maulana}, title={Image Extraction of ECG Signals on Human Emotions Using Wavelet Transformation}, proceedings={The 1st International Conference on Computer Science and Engineering Technology Universitas Muria Kudus}, publisher={EAI}, proceedings_a={ICCSET}, year={2018}, month={11}, keywords={electrocardiography (ecg) wavelet transformation and physiological signal processing}, doi={10.4108/eai.24-10-2018.2280625} }- Jaenal Arifin
Norma Amalia
Yulian Zetta Maulana
Year: 2018
Image Extraction of ECG Signals on Human Emotions Using Wavelet Transformation
ICCSET
EAI
DOI: 10.4108/eai.24-10-2018.2280625
Abstract
Data processing of human heart’s signals can be learned and applied in several studies, whether in psychological subject or in monitoring the condition of the human heart. A human's emotional aspect could be observed when the person recorded his heartbeat activities. The state of emotion observed in a normal, happy and sad conditions.The first stage of this research consists of measuring, recording, printing out the ECG data and scanning.The second stage, which named as pregeneration of the ECG image data stage, consists of median filtering and determining the threshold value and morphology. The third stage uses thinning and spatial-to-time methods for processing its ECG image.The last stage is named as characteristic extraction which uses a wavelet transform. From the characteristic extraction, the average of energy signal is obtained.
