Cross-Domain Transfer Learning for PCG Diagnosis Algorithm
Cardiechema is a way to reflect cardiovascular disease where the doctor uses a stethoscope to help determine the heart condition with a sound map. In this paper, phonocardiogram (PCG) is used as a diagnostic signal, and a deep learning diagnostic framework is proposed. By improving the architecture...
| Main Authors: | , , , , , |
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| Format: | Article |
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MDPI AG
2021-04-01
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| Series: | Biosensors |
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| Online Access: | https://www.mdpi.com/2079-6374/11/4/127 |
| _version_ | 1797537062647234560 |
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| author | Kuo-Kun Tseng Chao Wang Yu-Feng Huang Guan-Rong Chen Kai-Leung Yung Wai-Hung Ip |
| author_facet | Kuo-Kun Tseng Chao Wang Yu-Feng Huang Guan-Rong Chen Kai-Leung Yung Wai-Hung Ip |
| author_sort | Kuo-Kun Tseng |
| collection | DOAJ |
| description | Cardiechema is a way to reflect cardiovascular disease where the doctor uses a stethoscope to help determine the heart condition with a sound map. In this paper, phonocardiogram (PCG) is used as a diagnostic signal, and a deep learning diagnostic framework is proposed. By improving the architecture and modules, a new transfer learning and boosting architecture is mainly employed. In addition, a segmentation method is designed to improve on the existing signal segmentation methods, such as R wave to R wave interval segmentation and fixed segmentation. For the evaluation, the final diagnostic architecture achieved a sustainable performance with a public PCG database. |
| first_indexed | 2024-03-10T12:10:43Z |
| format | Article |
| id | doaj.art-8967a12bb81e43e681cff842cc8ee7d0 |
| institution | Directory Open Access Journal |
| issn | 2079-6374 |
| language | English |
| last_indexed | 2024-03-10T12:10:43Z |
| publishDate | 2021-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Biosensors |
| spelling | doaj.art-8967a12bb81e43e681cff842cc8ee7d02023-11-21T16:16:37ZengMDPI AGBiosensors2079-63742021-04-0111412710.3390/bios11040127Cross-Domain Transfer Learning for PCG Diagnosis AlgorithmKuo-Kun Tseng0Chao Wang1Yu-Feng Huang2Guan-Rong Chen3Kai-Leung Yung4Wai-Hung Ip5School of Computer Science and Technology, Harbin Institute of Technology (Shenzhen), Shenzhen 518055, ChinaSchool of Computer Science and Technology, Harbin Institute of Technology (Shenzhen), Shenzhen 518055, ChinaSchool of Journalism and Communication, Xiamen University, Xiamen 361005, ChinaSchool of Computer Science and Technology, Harbin Institute of Technology (Shenzhen), Shenzhen 518055, ChinaDepartment of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hong Kong, ChinaDepartment of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hong Kong, ChinaCardiechema is a way to reflect cardiovascular disease where the doctor uses a stethoscope to help determine the heart condition with a sound map. In this paper, phonocardiogram (PCG) is used as a diagnostic signal, and a deep learning diagnostic framework is proposed. By improving the architecture and modules, a new transfer learning and boosting architecture is mainly employed. In addition, a segmentation method is designed to improve on the existing signal segmentation methods, such as R wave to R wave interval segmentation and fixed segmentation. For the evaluation, the final diagnostic architecture achieved a sustainable performance with a public PCG database.https://www.mdpi.com/2079-6374/11/4/127transfer learningphonocardiogrambiosignal diagnosis |
| spellingShingle | Kuo-Kun Tseng Chao Wang Yu-Feng Huang Guan-Rong Chen Kai-Leung Yung Wai-Hung Ip Cross-Domain Transfer Learning for PCG Diagnosis Algorithm Biosensors transfer learning phonocardiogram biosignal diagnosis |
| title | Cross-Domain Transfer Learning for PCG Diagnosis Algorithm |
| title_full | Cross-Domain Transfer Learning for PCG Diagnosis Algorithm |
| title_fullStr | Cross-Domain Transfer Learning for PCG Diagnosis Algorithm |
| title_full_unstemmed | Cross-Domain Transfer Learning for PCG Diagnosis Algorithm |
| title_short | Cross-Domain Transfer Learning for PCG Diagnosis Algorithm |
| title_sort | cross domain transfer learning for pcg diagnosis algorithm |
| topic | transfer learning phonocardiogram biosignal diagnosis |
| url | https://www.mdpi.com/2079-6374/11/4/127 |
| work_keys_str_mv | AT kuokuntseng crossdomaintransferlearningforpcgdiagnosisalgorithm AT chaowang crossdomaintransferlearningforpcgdiagnosisalgorithm AT yufenghuang crossdomaintransferlearningforpcgdiagnosisalgorithm AT guanrongchen crossdomaintransferlearningforpcgdiagnosisalgorithm AT kaileungyung crossdomaintransferlearningforpcgdiagnosisalgorithm AT waihungip crossdomaintransferlearningforpcgdiagnosisalgorithm |