Title :
Heart rate measurement via smart phone acceleration sensor
Author :
Guo Gaoan ; Zhu Zhenmin
Author_Institution :
Beijing Key Lab. of Mobile Comput. & Pervasive Device, Inst. of Comput. Technol., Beijing, China
Abstract :
The invention of various types of sensors, enhancement of computing ability of the smart terminal and booming development of wearable and portable device gave an practical way to monitor the elder´s physical condition, especially people with heart disease or blood pressure disease. This paper describes a method to get the apical pulse signal via acceleration sensor and proposes a new way estimating the heart rate, besides, a signal processing procedures are given to get and tracking the signal. Considering in detail, we firstly analyzed the generation mechanism, and found suitable positions to deploy sensors, then we came up with an idea that separating heart rate signal and respiratory via wavelet analysis, further a real-time heart tracking algorithm is designed and local prediction via phase-space method is used to predict missing heart rate. After that, we discussed about the embedding dimension and the delay time of different ages of people. Finally, we carried out an experiment with commercial device, and proposed a evaluation method based signal quality, then analyzed the tracking performance. This low cost technology can be used in real time monitor on wearable devices especially emergency condition and long-term health support.
Keywords :
accelerometers; biomedical electronics; biomedical measurement; cardiology; diseases; geriatrics; health care; intelligent sensors; medical signal processing; patient monitoring; smart phones; wavelet transforms; wearable computers; apical pulse signal; blood pressure disease; commercial device; computing ability enhancement; elder physical condition; emergency condition; heart disease; heart rate measurement; heart rate signal; long-term health support; missing heart rate prediction; phase-space method; portable device; real time monitor; real-time heart tracking algorithm; respiratory rate signal; signal processing procedures; signal quality; signal tracking performance; smart phone acceleration sensor; wavelet analysis; wearable device; Acceleration; Biomedical monitoring; Delays; Heart rate; Prediction algorithms; Wavelet transforms; acceleration sensor; apical pulse; heart rate; phase space reconstruction; smart phone; wavelet analysis;
Conference_Titel :
Smart Computing (SMARTCOMP), 2014 International Conference on
Print_ISBN :
978-1-4799-5710-1
DOI :
10.1109/SMARTCOMP.2014.7043871