کد مقاله کد نشریه سال انتشار مقاله انگلیسی ترجمه فارسی نسخه تمام متن
557555 1451655 2016 5 صفحه PDF سفارش دهید دانلود کنید
عنوان انگلیسی مقاله
Suppression of interference in continuous wave Doppler radar based respiratory measurements
ترجمه فارسی عنوان
جلوگیری از تداخل در سنجش تنفسی مبتنی بر رادار داپلر موج مداوم
کلمات کلیدی
الگوی تناسب اندام؛ رادار داپلر؛ EMD؛ FastICA؛ آنتروپی تقریبی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر پردازش سیگنال
چکیده انگلیسی


• Demonstrated non-contact measurement and analysis of human respiration.
• Respiration measurement using microwave Doppler radar under the influence of motion artefact are discussed.
• The use of EMD-ICA for respiration signal reconstruction and interference suppression.
• Automated components selection using approximate entropy measures.
• Achieved high correlation in comparison with conventional respiration strap.

Microwave Doppler radar has received considerable attention as a non-contact form of measuring human respiration; in particular for long term monitoring. One of the main challenges in converting this into a viable application is to suppress or separate the artefacts and other interfering signals from the desired respiration signal using a less complex and practically feasible design for regular and potentially real time use. Existing systems either require complex experimental setups or multiple Doppler radar modules to achieve this. In this paper, we propose an approach based on EMD-ICA and approximate entropy ideas to systematically separate received Doppler shifted signal into distinct components and reconstruct the desired respiration pattern pertaining to respective physiological activity. Indeed this allows suppression of the undesirable artefacts and interference from other competing signals. Practical experiments confirmed comparable performance of the proposed method to the measurements obtained through chest straps which are widely used clinically for monitoring respiration.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Biomedical Signal Processing and Control - Volume 25, March 2016, Pages 86–90
نویسندگان
, ,