Affiliations: Department of Electronic Engineering, Chien Hsin University of Science and Technology, Jhongli, Taiwan
Correspondence:
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Corresponding author: Yun-Chi Yeh, Department of Electronic Engineering, Chien Hsin University of Science and Technology, Jhongli 320, Taiwan. E-mail:yunchi@uch.edu.tw
Abstract: This study presents a simple electrocardiogram (ECG)
signal analyzer for homecare system among the elderly. It can transmit ECG
signals of patient around his/her house through Bluetooth to computers in
house. ECG signals are analyzed by the computer. If abnormal case of
heartbeat is found, the emergency call is automatically dialed. Meanwhile,
the determined heartbeat case of ECG signals will be forwarded to patient's
MD through internet. Therefore, the patient can do whatever he/she wants
around his/her house with our proposed simple cardiac arrhythmias signal
analyzer. The proposed consists of five major processing stages: (i)
preprocessing stage for enlarging ECG signals' amplitude and eliminating
noises; (ii) ECG signal transmitter/receiver stage, ECG signals are
transmitted through Bluetooth to the signal receiver in patient's house;
(iii) QRS extraction stage for detecting QRS waveform using the Difference
Operation Method (DOM) method; (iv) qualitative features stage for
qualitative feature selection on ECG signals; and (v) classification stage
for determining patient's heartbeat cases using the Principal Component
Analysis (PCA) method. In the experiment, the total classification accuracy
(TCA) was approximately 93.19% in average.
