DocumentCode
30960
Title
Patient-Specific Identification of Optimal Ubiquitous Electrocardiogram (U-ECG) Placement Using a Three-Dimensional Model of Cardiac Electrophysiology
Author
Ki Moo Lim ; Jae Won Jeon ; Min-Soo Gyeong ; Seung Bae Hong ; Byung-hoon Ko ; Sang-Kon Bae ; Kun Soo Shin ; Eun Bo Shim
Author_Institution
Dept. of Med. IT Convergence Eng., Kumoh Inst. of Technol., Gumi, South Korea
Volume
60
Issue
1
fYear
2013
fDate
Jan. 2013
Firstpage
245
Lastpage
249
Abstract
A bipolar mini-ECG for ubiquitous healthcare (U-ECG) has been introduced, and various studies using the U-ECG device are in progress. Because it uses two electrodes within a small torso surface area, the design of the U-ECG must be suitable for detecting ECG signals. Using a 3-D model of cardiac electrophysiology, we have developed a simulation method for identifying the optimal placement of U-ECG electrodes on the torso surface. We simulated the heart-torso model to obtain a body surface potential map and ECG waveforms, which were compared with the empirical data. Using this model, we determined the optimal placement of the two U-ECG electrodes, spaced 5 cm apart, for detecting the P, R, and T waves. The ECG data, obtained using the optimal U-ECG placement for a specific wave, showed a clear shape for the target wave, but equivocal shapes for the other waves. The present study provides an efficient simulation method to identify the optimal attachment position and direction of the U-ECG electrodes on the surface of the torso.
Keywords
bioelectric potentials; biomedical electrodes; electrocardiography; physiological models; 3D cardiac electrophysiology model; ECG signal detection; ECG waveforms; P wave detection; R wave detection; T wave detection; U-ECG design; U-ECG device; biomedical electrodes; bipolar miniECG; body surface potential map; heart-torso model; optimal U-ECG placement; patient specific identification; simulation method; torso surface area; ubiquitous electrocardiogram; ubiquitous healthcare; Computational modeling; Electrocardiography; Electrodes; Heart; Humans; Solid modeling; Torso; Heart–torso model; U-ECG device; optimal position and direction; patient-specific identification; Computer Simulation; Electrocardiography; Electrodes; Heart; Humans; Image Processing, Computer-Assisted; Individualized Medicine; Models, Biological; Signal Processing, Computer-Assisted; Torso;
fLanguage
English
Journal_Title
Biomedical Engineering, IEEE Transactions on
Publisher
ieee
ISSN
0018-9294
Type
jour
DOI
10.1109/TBME.2012.2209648
Filename
6263285
Link To Document