DocumentCode :
140878
Title :
Monitoring respiration and cardiac activity during sleep using microbend fiber sensor: A clinical study and new algorithm
Author :
Zhihao Chen ; Ju Teng Teo ; Soon Huat Ng ; Xiufeng Yang ; Bin Zhou ; Yue Zhang ; Hwi Ping Loo ; Haihong Zhang ; Thong, Mark
Author_Institution :
Neural & Biomed. Technol. Dept., Inst. for Infocomm Res., Singapore, Singapore
fYear :
2014
fDate :
26-30 Aug. 2014
Firstpage :
5377
Lastpage :
5380
Abstract :
We report results from a clinical trial for monitoring respiration and cardiac activity of patients during sleep using microbend fiber sensor. This sensor is used to acquire respiratory and heart beat information. We have collected reference data from standard Polysomnography and data from microbend fiber sensor on 22 patients. A new algorithm is developed to calculate breathing rate and heart rate simultaneously. The Bland-Altman analysis demonstrates the measurements have good accuracy for monitoring purposes compared with the standard Polysomnography. An accuracy of 1.06bpm for breathing rate and 3.32bpm for heart rate has been validated for 30s averaging time although there were significant signal distortions under sleep conditions.
Keywords :
electrocardiography; fibre optic sensors; medical signal processing; patient monitoring; pneumodynamics; sleep; Bland-Altman analysis; breathing rate; cardiac activity monitoring; clinical trial; heart beat information; heart rate; microbend fiber sensor; reference data; respiration monitoring; respiratory information; signal distortions; sleep conditions; standard Polysomnography; time 30 s; Heart rate; Monitoring; Optical fiber amplifiers; Optical fiber sensors; Sleep apnea;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE
Conference_Location :
Chicago, IL
ISSN :
1557-170X
Type :
conf
DOI :
10.1109/EMBC.2014.6944841
Filename :
6944841
Link To Document :
بازگشت