Design framework of hybrid ensemble identification network and its application in heart sound analysis
Mixed heart sounds include heart sounds in a state of resting and motion. The analysis of heart sound signals in a state of motion is a difficult problem. (1) First, the mixed heart sound signal was collected by using the shoulder-strap-type heart sound acquisition device designed and made by our re...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
AIP Publishing LLC
2022-04-01
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| Series: | AIP Advances |
| Online Access: | http://dx.doi.org/10.1063/5.0083764 |
| _version_ | 1811256722431410176 |
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| author | Chen-Jun She Xie-Feng Cheng |
| author_facet | Chen-Jun She Xie-Feng Cheng |
| author_sort | Chen-Jun She |
| collection | DOAJ |
| description | Mixed heart sounds include heart sounds in a state of resting and motion. The analysis of heart sound signals in a state of motion is a difficult problem. (1) First, the mixed heart sound signal was collected by using the shoulder-strap-type heart sound acquisition device designed and made by our research group. The acquisition scheme and data preprocessing method were given, and the characteristics of heart sound signals in a state of motion were analyzed. (2) The design framework of the Hybrid Ensemble Identification Network (HEINet) is proposed, and the design requirements, architecture principles, and detailed design steps are discussed. The design process is simple, fast, and convenient. (3) In this paper, according to the design framework of HEINet, HEINet of the mixed heart sound signal is designed, and the recognition rate of the mixed heart sound signal in biometric authentication has reached 99.1%. Based on this design framework, HEINet of the heart sound signal for the Heart Sounds Catania 2011 heart sound database and HEINet of the electrocardiogram signal for Massachusetts Institute of Technology-Beth Israel Hospital arrhythmia database were designed, and the recognition rates both met the expected requirements. It shows that the design framework of HEINet has obvious universality. |
| first_indexed | 2024-04-12T17:45:30Z |
| format | Article |
| id | doaj.art-b03821bb7b044d0198c42723dbcab313 |
| institution | Directory Open Access Journal |
| issn | 2158-3226 |
| language | English |
| last_indexed | 2024-04-12T17:45:30Z |
| publishDate | 2022-04-01 |
| publisher | AIP Publishing LLC |
| record_format | Article |
| series | AIP Advances |
| spelling | doaj.art-b03821bb7b044d0198c42723dbcab3132022-12-22T03:22:41ZengAIP Publishing LLCAIP Advances2158-32262022-04-01124045117045117-1210.1063/5.0083764Design framework of hybrid ensemble identification network and its application in heart sound analysisChen-Jun She0Xie-Feng Cheng1College of Electronic and Optical Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210023, ChinaCollege of Electronic and Optical Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210023, ChinaMixed heart sounds include heart sounds in a state of resting and motion. The analysis of heart sound signals in a state of motion is a difficult problem. (1) First, the mixed heart sound signal was collected by using the shoulder-strap-type heart sound acquisition device designed and made by our research group. The acquisition scheme and data preprocessing method were given, and the characteristics of heart sound signals in a state of motion were analyzed. (2) The design framework of the Hybrid Ensemble Identification Network (HEINet) is proposed, and the design requirements, architecture principles, and detailed design steps are discussed. The design process is simple, fast, and convenient. (3) In this paper, according to the design framework of HEINet, HEINet of the mixed heart sound signal is designed, and the recognition rate of the mixed heart sound signal in biometric authentication has reached 99.1%. Based on this design framework, HEINet of the heart sound signal for the Heart Sounds Catania 2011 heart sound database and HEINet of the electrocardiogram signal for Massachusetts Institute of Technology-Beth Israel Hospital arrhythmia database were designed, and the recognition rates both met the expected requirements. It shows that the design framework of HEINet has obvious universality.http://dx.doi.org/10.1063/5.0083764 |
| spellingShingle | Chen-Jun She Xie-Feng Cheng Design framework of hybrid ensemble identification network and its application in heart sound analysis AIP Advances |
| title | Design framework of hybrid ensemble identification network and its application in heart sound analysis |
| title_full | Design framework of hybrid ensemble identification network and its application in heart sound analysis |
| title_fullStr | Design framework of hybrid ensemble identification network and its application in heart sound analysis |
| title_full_unstemmed | Design framework of hybrid ensemble identification network and its application in heart sound analysis |
| title_short | Design framework of hybrid ensemble identification network and its application in heart sound analysis |
| title_sort | design framework of hybrid ensemble identification network and its application in heart sound analysis |
| url | http://dx.doi.org/10.1063/5.0083764 |
| work_keys_str_mv | AT chenjunshe designframeworkofhybridensembleidentificationnetworkanditsapplicationinheartsoundanalysis AT xiefengcheng designframeworkofhybridensembleidentificationnetworkanditsapplicationinheartsoundanalysis |