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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yuanjing Yang Lianying Ji Jiankang Wu |
| Copyright Year | 2012 |
| Description | Author affiliation: School of Information Science and Engineering, Graduate University of Chinese Academy of Sciences, China (Yuanjing Yang; Lianying Ji; Jiankang Wu) |
| Abstract | During exercise, heart rate will increase and its distribution will be different from that in stationary statement. Moreover, activity introduces several outliers into heart rate series. Heart rate variability analysis under exercise conditions can't be conducted identically to the traditional methods. A heart rate distribution analysis method is proposed to fuse the activity information and heart rate signals which will be used to make heart rate analysis under exercise conditions. Firstly we use Gaussian function to fit RR intervals under various intensity activities, and then establish dynamic model for the parameter μ and σ which is changed with activity intensity. With the distribution of heart rate determined, outliers in RR interval can be detected and replaced according to possibility distribution. In the last, the validity of outlier detection algorithm and the influence of outliers to HRV are verified. |
| Starting Page | 4511 |
| Ending Page | 4516 |
| File Size | 165768 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781467313971 |
| e-ISBN | 9781467313988 |
| DOI | 10.1109/WCICA.2012.6359242 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-07-06 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Heart rate variability Indexes Acceleration Electrocardiography Mathematical model Medical services outlier detection distribution various intensities activity |
| Content Type | Text |
| Resource Type | Article |
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