Abstract—Sphygmogram (SPG) signal is one of common physiological signals with abundant pathological information. It has been widely used in monitoring heart rate, blood pressure and cardiovascular disease, even pre-diagnosis according to the standpoint of haemodynamics and Traditional Chinese Medicine. However, radial pulse signal acquisition is easily effected by patient’s artifacts, e.g. body movement. Groups of researchers have studied and applied kinds of methods to restrain and weed the undesired influence caused by motion. However, the filtered results lose much useful and valuable information like arrhythmia. Even though some scientists have noticed this point, their methods still have limitation in batch data. In this paper, a general applicable method aiming of distinguishing SPG signal with arrhythmia and motion artifact is proposed. Taking advantage of physiological characterization vectors and similarity analysis, the accuracy and error rate could reach 94.74% and 5.56%, respectively.
 

Index Terms—arrhythmia detection, health monitoring, signal processing, sphygmogram, wearable device

Cite: Ran Guo, Lingqing Pi, Jiali Ma, Jun Huang, and Mingchui Dong, "A General Applicable Sphygmogram Discriminator for Detecting Arrhythmia & Motion Artifact," International Journal of Signal Processing Systems, Vol. 4, No. 5, pp. 427-431, October 2016. doi: 10.18178/ijsps.4.5.427-431