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Title: Comparison of three different types of wrist pulse signals by their physical meanings and diagnosis performance
Authors: Zuo, W
Wang, P
Zhang, D 
Keywords: Computational pulse diagnosis
Photoelectric sensor
Pressure sensor
Pulse signal acquisition
Ultrasonic sensor
Issue Date: 2016
Publisher: Institute of Electrical and Electronics Engineers
Source: IEEE journal of biomedical and health informatics, 2016, v. 20, no. 1, 2369821, p. 119-127 How to cite?
Journal: IEEE journal of biomedical and health informatics 
Abstract: Increasing interest has been focused on computational pulse diagnosis where sensors are developed to acquire pulse signals, and machine learning techniques are exploited to analyze health conditions based on the acquired pulse signals. By far, a number of sensors have been employed for pulse signal acquisition, which can be grouped into three major categories, i.e., pressure, photoelectric, and ultrasonic sensors. To guide the sensor selection for computational pulse diagnosis, in this paper, we analyze the physical meanings and sensitivities of signals acquired by these three types of sensors. The dependence and complementarity of the different sensors are discussed from both the perspective of cardiovascular fluid dynamics and comparative experiments by evaluating disease classification performance. Experimental results indicate that each sensor is more appropriate for the diagnosis of some specific disease that the changes of physiological factors can be effectively reflected by the sensor, e.g., ultrasonic sensor for diabetes and pressure sensor for arteriosclerosis, and improved diagnosis performance can be obtained by combining three types of signals.
ISSN: 2168-2194
DOI: 10.1109/JBHI.2014.2369821
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