Extraction of fetal electrocardiogram using recursive least squares and normalized least mean squares algorithms

This paper addresses the problem of fetal electrocardiogram (FECG) extraction using recursive least squares (RLS) and normalized least mean squares (NLMS) adaptive algorithms based adaptive noise canceling (ANC) approach. The simulation results are compared with the classical adaptive filters, such...

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Veröffentlicht in:2011 3rd International Conference on Advanced Computer Control S. 333 - 336
Hauptverfasser: Shi-jin Liu, Da-li Liu, Jing-quan Zhang, Yan-jun Zeng
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 01.01.2011
Schlagworte:
adaptive algorithms
adaptive noise cancellation(ANC)
Educational institutions
Electrocardiography
fetal electrocardiogram (FECG)
least mean squares (LMS)
Least squares approximation
Noise cancellation
normalized least mean squares(NLMS)
recursive least squares (RLS)
ISBN:1424488095, 9781424488094
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Abstract This paper addresses the problem of fetal electrocardiogram (FECG) extraction using recursive least squares (RLS) and normalized least mean squares (NLMS) adaptive algorithms based adaptive noise canceling (ANC) approach. The simulation results are compared with the classical adaptive filters, such as RLS, NLMS and LMS algorithms, for eliminating the maternal electrocardiogram (MECG) and hence to extract the FECG. The comparative study has been carried out to show that the performance and accuracy of the recursive least squares adaptive noise cancelling(RLS-ANC) approach is more effective than the normalized least mean squares (NLMS) algorithm in an adaptive manner, and it is found to converge faster than NLMS algorithm in ANC.
AbstractList This paper addresses the problem of fetal electrocardiogram (FECG) extraction using recursive least squares (RLS) and normalized least mean squares (NLMS) adaptive algorithms based adaptive noise canceling (ANC) approach. The simulation results are compared with the classical adaptive filters, such as RLS, NLMS and LMS algorithms, for eliminating the maternal electrocardiogram (MECG) and hence to extract the FECG. The comparative study has been carried out to show that the performance and accuracy of the recursive least squares adaptive noise cancelling(RLS-ANC) approach is more effective than the normalized least mean squares (NLMS) algorithm in an adaptive manner, and it is found to converge faster than NLMS algorithm in ANC.
Author Yan-jun Zeng
Jing-quan Zhang
Shi-jin Liu
Da-li Liu
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  surname: Shi-jin Liu
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  organization: Dept. of Mech. & Electr. Eng., HuBei Land Resources Vocational Coll., Wuhan, China
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  surname: Da-li Liu
  fullname: Da-li Liu
  organization: Dept. of Mech. & Electr. Eng., HuBei Land Resources Vocational Coll., Wuhan, China
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  surname: Jing-quan Zhang
  fullname: Jing-quan Zhang
  organization: Dept. of Mech. & Electr. Eng., HuBei Land Resources Vocational Coll., Wuhan, China
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  surname: Yan-jun Zeng
  fullname: Yan-jun Zeng
  email: yjzen@bjut.edu.cn
  organization: Coll. of Life Sci. & Bio-Eng., Beijing Univ. of Technol., Beijing, China
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Snippet This paper addresses the problem of fetal electrocardiogram (FECG) extraction using recursive least squares (RLS) and normalized least mean squares (NLMS)...
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StartPage 333
SubjectTerms adaptive algorithms
adaptive noise cancellation(ANC)
Educational institutions
Electrocardiography
fetal electrocardiogram (FECG)
least mean squares (LMS)
Least squares approximation
Noise cancellation
normalized least mean squares(NLMS)
recursive least squares (RLS)
Title Extraction of fetal electrocardiogram using recursive least squares and normalized least mean squares algorithms
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