Title :
Detection of cardiac activity using a 5.8 GHz radio frequency sensor
Author :
Vasu, V. ; Fox, N. ; Brabetz, T. ; Wren, M. ; Heneghan, C. ; Sezer, S.
Author_Institution :
Inst. of Electron., Queen´´s Univ. Belfast, Belfast, UK
Abstract :
A 5.8-GHz ISM-Band radio-frequency sensor has been developed for non-contact measurement of respiration and heart rate from stationary and semi-stationary subjects at a distance of 0.5 to 1.5 meters. We report on the accuracy of the heart rate measurements obtained using two algorithmic approaches, as compared to a reference heart rate obtained using a pulse oximeter. Simultaneous Photoplethysmograph (PPG) and non-contact sensor recordings were recorded over fifteen minute periods for ten healthy subjects (8M/2F, ages 29.6plusmn5.6 yrs) One algorithm is based on automated detection of individual peaks associated with each cardiac cycle; a second algorithm extracts a heart rate over a 60-second period using spectral analysis. Peaks were also extracted manually for comparison with the automated method. The peak-detection methods were less accurate than the spectral methods, but suggest the possibility of acquiring beat by beat data; the spectral algorithms measured heart rate to within plusmn10% for the ten subjects chosen. Non-contact measurement of heart rate will be useful in chronic disease monitoring for conditions such as heart failure and cardiovascular disease.
Keywords :
bio-optics; cardiovascular system; diseases; medical signal detection; medical signal processing; microwave measurement; plethysmography; pneumodynamics; spectral analysis; ISM-band radio-frequency sensor; automated detection; cardiac cycle; cardiovascular disease; chronic disease monitoring; distance 0.5 m to 1.5 m; frequency 5.8 GHz; heart failure; heart rate measurement; noncontact measurement; noncontact sensor recordings; peak-detection methods; photoplethysmograph; pulse oximeter comparison; respiration measurement; semistationary subjects; spectral analysis; stationary subjects; Adult; Algorithms; Female; Heart Rate; Humans; Male; Monitoring, Physiologic; Respiratory Rate; Signal Processing, Computer-Assisted;
Conference_Titel :
Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE
Conference_Location :
Minneapolis, MN
Print_ISBN :
978-1-4244-3296-7
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2009.5334223