Wireless EGG Monitor

Author

Grigorian, E.R. ; Adhami, R. ; Toutonji, O.

Author_Institution

Electr. & Comput. Eng. Dept., Univ. of Alabama in Huntsville, Huntsville, AL

fYear

2007

fDate

12-14 Dec. 2007

Firstpage

161

Lastpage

164

Abstract

Real time monitoring and detection of abnormal heart rhythms, specifically through acquisition of electrocardiogram (ECG) signals for extended periods (24 to 48 hours) have been sought by many researchers. Abnormal ECG signals could appear any time in the day during regular patient activities. Spurious noise associated with motion and muscular contraction is usually coupled with the acquired ECG signal. Cancelling muscle contraction and motion artifacts from real time ECG signals is extremely vital for accurate ECG signal classification for analysis by trained medical specialists. The intent of this research was to develop a bi-electrode wireless acquisition system that captured and transmitted ECG signals and motion acceleration information to a host computer system for data capture and analysis. The designed wireless ECG system includes a 3-axis micro electromechanical (MEMS) accelerometer for motion detection.

Keywords

accelerometers; bioMEMS; biomechanics; biomedical electrodes; biomedical telemetry; electrocardiography; medical signal processing; principal component analysis; radiotelemetry; signal classification; 3-axis microelectromechanical accelerometer; Bluetooth; ECG signal classification; MEMS; PCA; abnormal heart rhythms detection; bi-electrode wireless acquisition system; data analysis; data capture; electrocardiogram signal acquisition; motion acceleration information; motion artifacts cancellation; motion detection; muscular contraction cancellation; regular patient activities; spurious noise; time 24 hr to 48 hr; wireless ECG monitor; Acceleration; Electrocardiography; Heart; Motion analysis; Muscles; Noise cancellation; Patient monitoring; Pattern classification; Rhythm; Signal analysis; Bluetooth; ECG; Electrocardiogram; MEMS; Micro Electromechanical System; PCA; wireless technology;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Advances in Multi-Sensor Adaptive Processing, 2007. CAMPSAP 2007. 2nd IEEE International Workshop on

Conference_Location

St. Thomas, VI

Print_ISBN

978-1-4244-1713-1

Type

conf

DOI

10.1109/CAMSAP.2007.4497990

Filename

4497990