DocumentCode :
2078436
Title :
Respiratory effort energy estimation using Doppler radar
Author :
Shahhaidar, E. ; Yavari, E. ; Young, James ; Boric-Lubecke, O. ; Stickley, C.
Author_Institution :
Electr. Eng. Dept., Univ. of Hawaii at Manoa, Honolulu, HI, USA
fYear :
2012
fDate :
Aug. 28 2012-Sept. 1 2012
Firstpage :
719
Lastpage :
722
Abstract :
Human respiratory effort can be harvested to power wearable biosensors and mobile electronic devices. The very first step toward designing a harvester is to estimate available energy and power. This paper describes an estimation of the available power and energy due to the movements of the torso during breathing, using Doppler radar by detecting breathing rate, torso displacement, torso movement velocity and acceleration along the sagittal movement of the torso. The accuracy of the detected variables is verified by two reference methods. The experimental result obtained from a healthy female human subject shows that the available power from circumferential movement can be higher than the power from the sagittal movement.
Keywords :
Doppler radar; biomedical equipment; biosensors; pneumodynamics; Doppler radar; breathing rate; circumferential movement; hea hy female human subject; human respiratory effort; mobile electronic devices; power wearable biosensors; respiratory effort energy estimation; sagittal movement; torso acceleration; torso displacement; torso movement velocity; Acceleration; Accelerometers; Belts; Doppler radar; Force; Humans; Torso; Acceleration; Accelerometry; Doppler Effect; Female; Humans; Mathematical Concepts; Models, Biological; Movement; Radar; Respiration; Respiratory Mechanics; Torso; Transducers; Work of Breathing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE
Conference_Location :
San Diego, CA
ISSN :
1557-170X
Print_ISBN :
978-1-4244-4119-8
Electronic_ISBN :
1557-170X
Type :
conf
DOI :
10.1109/EMBC.2012.6346032
Filename :
6346032
Link To Document :
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