Interference Detection and Quality Assessment of Pulse Signal on Android Platform

• Published in: Zhongguo yi liao qi xie za zhi Vol. 42; no. 5; p. 321
• Main Authors: Zhang, Aihua, Kou, Xinyu, Qi, Yusheng, Wang, Jingyang
• Format: Journal Article
• Language: Chinese
• Published: China 30.09.2018
• Subjects: Algorithms; Electrocardiography; Heart Rate; Signal Processing, Computer-Assisted; quality evaluation; Cascaded Layer-by-Layer Discrimination; pulse signal; Android
• DOI: 10.3969/j.issn.1671-7104.2018.05.003
• ISSN: 1671-7104

The collection process of the pulse signal is easily disturbed by the noise, that will reduce the quality of the signal, and affect its applications on the healthy monitoring system. In order to solve this problem, this paper analyzes the causes of the generation of interference during pulse signal acquisition and the characteristics of interference performance, and puts forward the corresponding detection algorithm for pulse signal interference section. Based on this algorithm, a Cascaded Layer-by-Layer Discrimination method is proposed to evaluate the quality of pulse signals, in which pulse signals are divided into available signals and unavailable signals. Experimental results on PC and Android platform show that the proposed algorithm can detect the interference segment accurately in the pulse signal in real time, and improve the usability of the evaluation for pulse signal.