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Conference Paper Adaptive Noise Cancellation Using Accelerometers for the PPG Signal from Forehead
Cited 58 time in scopus Share share facebook twitter linkedin kakaostory
Authors
Sang Hyun Kim, Dong Wan Ryoo, Chang Seok Bae
Issue Date
2007-08
Citation
International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS) 2007, pp.2564-2567
Publisher
IEEE
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1109/IEMBS.2007.4352852
Abstract
For the upcoming ubiquitous computing environments in the u-health areas involve the measurement of physiological signals in the daily life. However, the measurement of those signals, such as the photoplethysmorgraphy (PPG), and the electrocardiogram (ECG), requires being still tight during the measurement in order to get the accurate result preventing noises caused by the casual movement. In this paper, we propose a method to obtain the accurate physiological signals in the situation where the little movement is allowed. By measuring PPG and motion signals at the forehead during in motion, we calibrate the distorted PPG signal with the motion signals. We show that the calibrated PPG signal is accurate enough by comparing with the result that is measured at the finger without any movement. © 2007 IEEE.
KSP Keywords
Adaptive noise cancellation, PPG signal, Physiological signals, U-health, Ubiquitous computing environment