利用成像光容积脉搏波技术估计心率和呼吸频率

Neha Singh, A. B. Bazil Raj
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引用次数: 15

摘要

近几十年来,成像-光电容积脉搏波以其简单、经济、非接触的多参数测量能力得到了广泛的认可。通常,对于血容量脉冲提取,首选两种方法。首先,利用绿色通道跟踪,其次,利用ICA或PCA获取底层源信号。主要使用ICA。在这里,我们采用非负矩阵分解(NMF)进行底层源信号采集,并将其与使用绿色通道进行生理参数估计进行比较。从视频记录中获得的归一化原始轨迹经过预处理,仅保留正振荡。
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Estimation of Heart Rate and Respiratory Rate using Imaging Photoplethysmography Technique
Imaging-Photoplethysmography has gathered a great amount of recognition in recent decades given to its simple, cost effective and non-contact multiparameter measurement capability. Generally, for blood volume pulse extraction, two processes are preferred. First, using green channel trace and second, using ICA or PCA to acquire underlying sources signal. ICA is used dominantly. Here, we have employed non-negative matrix factorization (NMF) for underlying source signal acquisition and compared it with the use of green channel for physiological parameter estimation. Normalized raw traces obtained from video recordings were pre-processed to keep only positive oscillations.
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