Quality Assessment of 12 Lead ECG Signals based on Beat Detection Pattern
Abstract—This paper proposed a new method for assessing signal quality from 12 lead ECG signal. The proposed method can be applied to incoming ECG data stream in one pass, does not involve computatively expensive filtering and does not require large memory space, which makes it especially useful for...
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Institut Teknologi Sepuluh Nopember
2017-10-01
|
| Series: | JAREE (Journal on Advanced Research in Electrical Engineering) |
| Online Access: | http://jaree.its.ac.id/index.php/jaree/article/view/17 |
| _version_ | 1818266104505565184 |
|---|---|
| author | Muhammad Yazid |
| author_facet | Muhammad Yazid |
| author_sort | Muhammad Yazid |
| collection | DOAJ |
| description | Abstract—This paper proposed a new method for assessing signal quality from 12 lead ECG signal. The proposed method can be applied to incoming ECG data stream in one pass, does not involve computatively expensive filtering and does not require large memory space, which makes it especially useful for use in mobile device based ECG signal acquisition. The proposed method is verified on PhysioNet/Computing in Cardiology Chal- lenge 2011 12 lead ECG signals database, achieving a result of 89.98 percent accuracy when tested against the training dataset, and 87.4 percent accuracy when tested against the test data set. |
| first_indexed | 2024-12-12T20:01:24Z |
| format | Article |
| id | doaj.art-6a182692bb7c45c9bf029f8d9415b17c |
| institution | Directory Open Access Journal |
| issn | 2580-0361 2579-6216 |
| language | English |
| last_indexed | 2024-12-12T20:01:24Z |
| publishDate | 2017-10-01 |
| publisher | Institut Teknologi Sepuluh Nopember |
| record_format | Article |
| series | JAREE (Journal on Advanced Research in Electrical Engineering) |
| spelling | doaj.art-6a182692bb7c45c9bf029f8d9415b17c2022-12-22T00:13:45ZengInstitut Teknologi Sepuluh NopemberJAREE (Journal on Advanced Research in Electrical Engineering)2580-03612579-62162017-10-011218Quality Assessment of 12 Lead ECG Signals based on Beat Detection PatternMuhammad Yazid0Department of Biomedical Engineering Faculty of Electrical Technology Institut Teknologi Sepuluh Nopember, Surabaya, IndonesiaAbstract—This paper proposed a new method for assessing signal quality from 12 lead ECG signal. The proposed method can be applied to incoming ECG data stream in one pass, does not involve computatively expensive filtering and does not require large memory space, which makes it especially useful for use in mobile device based ECG signal acquisition. The proposed method is verified on PhysioNet/Computing in Cardiology Chal- lenge 2011 12 lead ECG signals database, achieving a result of 89.98 percent accuracy when tested against the training dataset, and 87.4 percent accuracy when tested against the test data set.http://jaree.its.ac.id/index.php/jaree/article/view/17 |
| spellingShingle | Muhammad Yazid Quality Assessment of 12 Lead ECG Signals based on Beat Detection Pattern JAREE (Journal on Advanced Research in Electrical Engineering) |
| title | Quality Assessment of 12 Lead ECG Signals based on Beat Detection Pattern |
| title_full | Quality Assessment of 12 Lead ECG Signals based on Beat Detection Pattern |
| title_fullStr | Quality Assessment of 12 Lead ECG Signals based on Beat Detection Pattern |
| title_full_unstemmed | Quality Assessment of 12 Lead ECG Signals based on Beat Detection Pattern |
| title_short | Quality Assessment of 12 Lead ECG Signals based on Beat Detection Pattern |
| title_sort | quality assessment of 12 lead ecg signals based on beat detection pattern |
| url | http://jaree.its.ac.id/index.php/jaree/article/view/17 |
| work_keys_str_mv | AT muhammadyazid qualityassessmentof12leadecgsignalsbasedonbeatdetectionpattern |