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

fYear

2010

fDate

18-20 June 2010

Firstpage

1

Lastpage

4

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Bioinformatics and Biomedical Engineering (iCBBE), 2010 4th International Conference on

Conference_Location

Chengdu

ISSN

2151-7614

Print_ISBN

978-1-4244-4712-1

Electronic_ISBN

2151-7614

Type

conf

DOI

10.1109/ICBBE.2010.5514990

Filename

5514990