Title :
Power-Saving Encoding Schemes for Wireless ECG Signal Transmissions
Author_Institution :
Dept. of Commun. Eng., Feng-Chia Univ., Taichung, Taiwan
Abstract :
Encoding schemes aimed to reduce RF transmissions for wireless ECG systems are discussed. By utilizing the concept that the signal power is much bigger than the noise power in a working ECG system, we have combined differential encoding with a window-base noise-detection scheme to design an encoding method to limit the transmissions down to about 20% of raw data transmissions. The trade-offs for encoding methods are the moderate increase of software complexity due to the need of a simple communication protocol to distinguish different types of data packets. The example of a two-second ECG data of a 23-year old male subject is used to show the high efficiency of our methods.
Keywords :
data communication; electrocardiography; encoding; protocols; communication protocol; data packet; electrocardiogram signal; power-saving encoding scheme; raw data transmission; software complexity; window-base noise-detection scheme; wireless ECG signal transmission; Batteries; Electrocardiography; Encoding; Noise; Radio frequency; Wireless communication; Wireless sensor networks; ECG; differential code; wireless;
Conference_Titel :
Complex, Intelligent, and Software Intensive Systems (CISIS), 2013 Seventh International Conference on
Conference_Location :
Taichung
Print_ISBN :
978-0-7695-4992-7
DOI :
10.1109/CISIS.2013.101