DSP Based Real-Time Adaptive Vital Signals Extraction Algorithm Using CW-Radar for Wheelchair Users

被引：0

作者：

Abdolalipour, Abbas ^{[1
]}

Postolache, Octavian ^{[2
]}

Girao, Pedro Silva ^{[3
]}

机构：

[1] DEEC IST UTL, Inst Telecomunicacoes, Lisbon, Portugal

[2] ISCTE IUL, Inst Telecomunicacoes, Lisbon, Portugal

[3] DEEC IST, Inst Telecomunicacoes, Lisbon, Portugal

来源：

PROCEEDINGS OF THE 2012 INTERNATIONAL CONFERENCE AND EXPOSITION ON ELECTRICAL AND POWER ENGINEERING (EPE 2012) | 2012年

关键词：

digital signal processor; FMCW-Doppler Radar sensor; embedded software; vital signals; motor activity; adaptive peak detection; DOPPLER RADAR; MONITOR;

D O I：

暂无

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

A TI C67XX DSP based platform was developed for real time processing of the biomedical signals obtained from sensors integrated in a wheelchair. Special attention was granted to the use of Frequency Modulated Continuous Wave Doppler Radars (FMCW-DRadar) for cardio-respiratory activity assessment. A practical approach concerning artifacts removal through adaptive digital filtering implemented in the DSP platform was one of the aims of the work. Additionally, in order to increase the accuracy of the results, programmable data acquisition architecture was designed and implemented and a data communication protocol between the DSP platform and a host computer associated with graphical user interface was carried out. Several elements related to digital filtering design and implementation and experimental results concerning the cardio-respiratory monitoring are included in the present article.

引用

页码：620 / 623

页数：4

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