DocumentCode :
3373794
Title :
Systolic blood pressure estimation using Android smart phones
Author :
Han Li ; Hai Zhao
Author_Institution :
Sch. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
fYear :
2013
fDate :
16-18 Dec. 2013
Firstpage :
260
Lastpage :
264
Abstract :
Systolic blood pressure (SBP) is one of the important vital signs that need to be monitored for personal healthcare. Measuring SBP via pulse wave transit time (PWTT) requires monitoring ECG and pulse wave signals simultaneously, which has no portability. And before the measurement the parameters indicating the relationship between BP and PWTT must be calculated through training. This paper describes a portable method developed by the authors to measure SBP from PWTT using one Android smart phone. Volume pulse waves were acquired by a smart phone with its built-in camera, and then accelerated pulse waves were gotten through filtering, amplifying and processing the signals. The PWTT between the progressive and reflected waves of the accelerated pulse waves was calculated. The tester swayed his arm with hand holding the same phone to change the SBP for the training. The displacement of the hand was calculated through the accelerometer of the smart phone. Experimental results indicated that there is no obvious difference between SBP measured by the new system and by an electronic sphygmomanometer with error less than 10mmHg.
Keywords :
accelerometers; biomedical electronics; blood pressure measurement; cameras; electrocardiography; health care; medical signal processing; patient care; patient monitoring; portable instruments; smart phones; Android smart phones; ECG monitoring; PWTT; SBP; accelerated pulse waves; built-in camera; electronic sphygmomanometer; hand displacement; personal healthcare monitoring; portable method; progressive wave; pulse wave signals; pulse wave transit time; reflected wave; signal amplifying; signal filtering; signal processing; smart phone accelerometer; systolic blood pressure estimation; vital signs; volume pulse waves; Acceleration; Biomedical monitoring; Blood pressure; Cameras; Smart phones; Training; Android smart phone; pulse wave transit time; systolic blood pressure;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Engineering and Informatics (BMEI), 2013 6th International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4799-2760-9
Type :
conf
DOI :
10.1109/BMEI.2013.6746945
Filename :
6746945
Link To Document :
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