Title :
An Approach to Detection of Physiological Signals on Lumbar Vertebra Based on Infrared Sequence Images
Author :
Jing, Bin ; Li, Haiyun
Author_Institution :
Dept. of Biomed. Eng., Capital Med. Univ., Beijing, China
Abstract :
In this paper, a method is developed to detect the physiological signals on lumbar vertebra based on infrared sequence images. Firstly, an infrared dynamic image acquisition system is constructed, and then infrared sequence images on the lumbar vertebra are acquired for 30s. Then, the time-lapse signal of mean gray value of region of interest (ROI) is obtained. Then, the power spectral density (PSD) is calculated by three methods: periodogram, Welch and AR model. From the spectrum graph, we can get some meaningful signals including heart rate, respiration rate and so on. It will be very useful for the clinical diagnoses and treatment of lumbar disc herniation.
Keywords :
biomedical optical imaging; data acquisition; diseases; electrocardiography; image sequences; medical signal detection; medical signal processing; ECG; Welch-AR model; clinical diagnoses; heart rate; infrared dynamic image acquisition system; infrared sequence images; lumbar disc herniation treatment; lumbar vertebra; mean gray value; periodogram; physiological signal detection; power spectral density; region-of-interest; respiration rate; spectrum graph; time 30 s; time-lapse signal; Band pass filters; Biomedical optical imaging; Heart rate; Infrared detectors; Infrared imaging; Infrared spectra; Medical signal detection; Signal detection; Spectral analysis; White noise;
Conference_Titel :
Bioinformatics and Biomedical Engineering (iCBBE), 2010 4th International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-4712-1
Electronic_ISBN :
2151-7614
DOI :
10.1109/ICBBE.2010.5514990
