Title :
A mixed signal ECG processing platform with an adaptive sampling ADC for portable monitoring applications
Author :
Kim, Hyejung ; Van Hoof, Chris ; Yazicioglu, Refet Firat
Author_Institution :
imec, Leuven, Belgium
fDate :
Aug. 30 2011-Sept. 3 2011
Abstract :
This paper describes a mixed-signal ECG processing platform with an 12-bit ADC architecture that can adapt its sampling rate according to the input signals rate of change. This enables the sampling of ECG signals with significantly reduced data rate without loss of information. The presented adaptive sampling scheme reduces the ADC power consumption, enables the processing of ECG signals with lower power consumption, and reduces the power consumption of the radio while streaming the ECG signals. The test results show that running a CWT-based R peak detection algorithm using the adaptively sampled ECG signals consumes only 45.6μW and it leads to 36% less overall system power consumption.
Keywords :
electrocardiography; medical signal processing; power consumption; adaptive sampling ADC; information loss; mixed signal ECG processing platform; portable monitoring; power consumption; sampling rate; Continuous wavelet transforms; Detection algorithms; Digital signal processing; Electrocardiography; Monitoring; Power demand; Signal processing algorithms; Algorithms; Analog-Digital Conversion; Diagnosis, Computer-Assisted; Electroencephalography; Equipment Design; Equipment Failure Analysis; Reproducibility of Results; Sensitivity and Specificity; Signal Processing, Computer-Assisted; Telemetry;
Conference_Titel :
Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4244-4121-1
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2011.6090414