A new approach to identify obstructive sleep apnea using an optimal orthogonal wavelet filter bank with ECG signals

Manish Sharma, Mitesh Raval, U. Rajendra Acharya

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DOI: 10.1016/j.imu.2019.100170
Published: 2019
Container: Informatics in Medicine Unlocked
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1016/j.imu.2019.100170,
  title = {A new approach to identify obstructive sleep apnea using an optimal orthogonal wavelet filter bank with ECG signals},
  author = {Manish Sharma and Mitesh Raval and U. Rajendra Acharya},
  year = {2019},
  journal = {Informatics in Medicine Unlocked},
  doi = {10.1016/j.imu.2019.100170},
  url = {https://doi.org/10.1016/j.imu.2019.100170}
}

RIS

TY  - JOUR
TI  - A new approach to identify obstructive sleep apnea using an optimal orthogonal wavelet filter bank with ECG signals
AU  - Manish Sharma
AU  - Mitesh Raval
AU  - U. Rajendra Acharya
PY  - 2019
JO  - Informatics in Medicine Unlocked
DO  - 10.1016/j.imu.2019.100170
UR  - https://doi.org/10.1016/j.imu.2019.100170
ER  -

APA

Sharma, M., Raval, M., & Acharya, U. R. (2019). A new approach to identify obstructive sleep apnea using an optimal orthogonal wavelet filter bank with ECG signals. Informatics in Medicine Unlocked. https://doi.org/10.1016/j.imu.2019.100170

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doaj · retrieved 2026-09-25T02:17:35.521Z