Name
Title | ||
|---|---|---|
Qrs Complex Detection Based Wearable Electrocardiogram Acquistion System Via Computing Regularity Without Evaluating The Modulus Maxima |
Abstract | ||
|---|---|---|
Many diseases can be detected via performing the electrocardiogram diagnosis. Although the electrocardiograms can be acquired in the public clinics, hospitals or even at homes by using the existing devices, these existing devices are not tiny enough to carry on the bodies. Hence, it is difficult to acquire the electrocardiograms all the time. In order to acquire the electrocardiograms all the time, this paper proposes a wearable electrocardiogram acquisition system. In particular, the R points of the electrocardiograms are detected by computing the regularities of the signals. If the regularity of a signal at a point v is about -1.5 and it is the minimum around its neighbor, then v is assumed to be the R point. Similarly, the Q points and the R points can be detected accordingly. Here, it is not required to compute the modulus maxima. Hence, the required computational power is very low. The simulation results show that the proposed algorithm outperforms the existing methods in terms of the required computational complexity. |
Year | Venue | Keywords |
|---|---|---|
2016 | 2016 IEEE 14TH INTERNATIONAL CONFERENCE ON INDUSTRIAL INFORMATICS (INDIN) | QRD complex detection, regularity, modulus maxima |
Field | DocType | ISSN |
Kernel (linear algebra),Wearable computer,Algorithm,Modulus maxima,QRS complex,Engineering,Computational complexity theory,Wavelet transform | Conference | 1935-4576 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yu-Fan Zeng | 1 | 0 | 1.01 |
| Wing-Kuen Ling | 2 | 9 | 4.21 |
| Qing Liu | 3 | 421 | 51.42 |
| Meilin Wang | 4 | 15 | 3.67 |
| Jiang-Zhong Cao | 5 | 0 | 0.34 |