计算机技术与发展2017，Vol.27Issue(11)：14-18,5.DOI:10.3969/j.issn.1673-629X.2017.11.003
面向可穿戴设备的脉搏波基线漂移去除算法
A Pulse Wave Baseline Drifting Removal Algorithm for Wearable Devices
摘要
Abstract
In order to meet the requirements of wearable portable real-time measurement analysis,a simplified approach for baseline drift removal in photoplethysmography ( PPG) is proposed based on the mathematical morphology. The PPG collected by the infrared emission tube and environmental optics sensor is processed by generalized morphological filter algorithm and simplified morphological filtering al-gorithm and on the basis of that,the similarity between them is calculated. Then the static peak recognition algorithm is applied for the calculation of value of the heartbeat respectively. The experimental results show that the similarity of two filtered PPG is up to 88. 83%and the goodness of fit between the gold heart rate and heartbeat obtained from the two algorithms is 98. 61% and 98. 68% respectively. Compared with generalized morphological filter algorithm,it has similar ability to filter data but can contribute to quicker 4 times than o-riginal morphology method,which makes it better applied in wearable device in daily healthy real-time analysis.关键词
PPG/可穿戴测量/实时分析/形态学/基线漂移Key words
PPG/wearable measurement/real-time analysis/morphology/baseline drifting分类
信息技术与安全科学引用本文复制引用
许金林,李晓风,李皙茹,元沐南..面向可穿戴设备的脉搏波基线漂移去除算法[J].计算机技术与发展,2017,27(11):14-18,5.基金项目
国家科技支撑计划课题(2013BAH14F01) （2013BAH14F01）
国家自然科学基金资助项目(61301059) （61301059）
