Gaussian fitting for carotid and radial artery pressure waveforms: comparison between normal subjects and heart failure patients

• Published in: Bio-medical materials and engineering Vol. 24; no. 1; pp. 271 - 277
• Main Authors: Liu, Chengyu, Zheng, Dingchang, Zhao, Lina, Liu, Changchun
• Format: Journal Article
• Language: English
• Published: London, England SAGE Publications 01.01.2014
• Subjects: Adult; Aged; Blood Pressure - physiology; Blood Pressure Determination - methods; Carotid Arteries - pathology; Electrocardiography; Female; Healthy Volunteers; Heart Failure - physiopathology; Humans; Male; Middle Aged; Normal Distribution; Pressure; Radial Artery - pathology; Signal Processing, Computer-Assisted; Temperature; Time Factors; Ultrasonics; heart failure; Artery pressure waveform analysis; Gaussian function; waveform matching
• ISSN: 0959-2989; 1878-3619; 1878-3619
• DOI: 10.3233/BME-130808

It has been reported that Gaussian functions could accurately and reliably model both carotid and radial artery pressure waveforms (CAPW and RAPW). However, the physiological relevance of the characteristic features from the modeled Gaussian functions has been little investigated. This study thus aimed to determine characteristic features from the Gaussian functions and to make comparisons of them between normal subjects and heart failure patients. Fifty-six normal subjects and 51 patients with heart failure were studied with the CAPW and RAPW signals recorded simultaneously. The two signals were normalized first and then modeled by three positive Gaussian functions, with their peak amplitude, peak time, and half-width determined. Comparisons of these features were finally made between the two groups. Results indicated that the peak amplitude of the first Gaussian curve was significantly decreased in heart failure patients compared with normal subjects (P<0.001). Significantly increased peak amplitude of the second Gaussian curves (P<0.001) and significantly shortened peak times of the second and third Gaussian curves (both P<0.001) were also presented in heart failure patients. These results were true for both CAPW and RAPW signals, indicating the clinical significance of the Gaussian modeling, which should provide essential tools for further understanding the underlying physiological mechanisms of the artery pressure waveform.