지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 대한의용생체공학회 Biomedical Engineering Letters (BMEL) Biomedical Engineering Letters (BMEL) Vol.11 No.1
- 발행연도
- 2021.1
- 수록면
- 55 - 67 (13page)
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초록· 키워드
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Purpose: Continuous monitoring of fetal heart rate (FHR) is essential to diagnose heart abnormalities. Therefore, FHRmeasurement is considered as the most important parameter to evaluate heart function. One method of FHR extraction isdone by using fetal phonocardiogram (fPCG) signal, which is obtained directly from the mother abdominal surface with amedical stethoscope. A variety of high-amplitude interference such as maternal heart sound and environmental noise causea low SNR fPCG signal. In addition, the signal is nonstationary because of changes in features that are highly dependent onpregnancy age, fetal position, maternal obesity, bandwidth of the recording system and nonlinear transmission environment. Methods: In this paper, a sources separation process from the recorded fPCG signal is proposed. Independent componentanalysis (ICA) has always been one of the most efficient methods for extracting background noise from multichannel data. Inorder to extract the source signals from the single-channel fPCG data using ICA algorithm, it is necessary to first decomposethe signal into multivariate data using a proper decomposition technique. In this paper, we implemented three combinedmethods of SSA-ICA, Wavelet-ICA and EEMD-ICA. Results: In order to validate the performance of the methods, we usedsimulated and real fPCG signals. The results indicated that SSA-ICA recovers sources of single-channel signals with differentSNRs. Conclusion: The performance criteria such as power spectral density (PSD) peak and cross correlation valueshow that the SSA-ICA method has been more successful in extracting independent sources.
목차
등록된 정보가 없습니다.
참고문헌 (17)
참고문헌 신청
Sartwelle TP / 2012 / Electronic fetal monitoring : a bridge too far / J Leg Med 33:313~379
Cesarelli M / 2012 / Simulation of foetal phonocardiographic recordings for testing of FHR extracting algorithms / Comput Methods Programs Biomed 107:513~523
Adithya PC / 2017 / Trends in fetal monitoring through phonocardiography : Challenges and future directions / Biomed Signal Process Control 33:289~305
Rufo M / 2010 / An algorithm for FHR estimation from foetal phonocardiographics signals / Biomed Signal Process Control 5:131~141
Cliford G / 2008 / Biomedical Signal and Image Processing
Cesarelli M / 2012 / Simulation of foetal phonocardiographic recordings for testing of FHR extracting algorithms / Comput Methods Programs Biomed 107:513~523
Adithya PC / 2017 / Trends in fetal monitoring through phonocardiography : Challenges and future directions / Biomed Signal Process Control 33:289~305
Rufo M / 2010 / An algorithm for FHR estimation from foetal phonocardiographics signals / Biomed Signal Process Control 5:131~141
Cliford G / 2008 / Biomedical Signal and Image Processing
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