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Research on Identification Algorithm Based on PPG Signal and Improved Convolutional Neural Network
| Content Provider | Scilit |
|---|---|
| Author | Wan, Dechao Zhang, Luqiao Bai, Yunxiang Deng, Hanghang |
| Copyright Year | 2020 |
| Description | Journal: Iop Conference Series: Earth and Environmental Science In this paper, an improved convolutional neural network model is proposed, which is used for the identification of ECG signals while PPG signals are rarely used. The PPG data from the mimic database is denoised by wavelet transform, and then directly sent to the model for automatic sign extraction and recognition. This method can achieve the highest recognition rate of 99.39% on PPG data in mimic database. This makes the identification based on PPG signal meet the requirements of high reliability. With the rapid development of sensors and wearable devices, this research can also meet the universality of one of the requirements of identification. |
| Related Links | https://iopscience.iop.org/article/10.1088/1755-1315/428/1/012017/pdf |
| ISSN | 17551307 |
| e-ISSN | 17551315 |
| DOI | 10.1088/1755-1315/428/1/012017 |
| Journal | Iop Conference Series: Earth and Environmental Science |
| Issue Number | 1 |
| Volume Number | 428 |
| Language | English |
| Publisher | IOP Publishing |
| Publisher Date | 2020-01-01 |
| Access Restriction | Open |
| Subject Keyword | Journal: Iop Conference Series: Earth and Environmental Science Industrial Engineering Convolutional Neural Improved Convolutional |
| Content Type | Text |
| Resource Type | Article |
| Subject | Earth and Planetary Sciences Physics and Astronomy Environmental Science |
