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IETE Journal of Research Volume 68, 2022 - Issue 4
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Articles

Analysis of Compressed Foetal Phono-Cardio-Graphy (PCG) Signals with Discrete Cosine Transform and Discrete Wavelet Transform

Vibha Aggarwal1 College of Engineering and Management, Punjabi University Neighborhood Campus, Rampura Phul, IndiaView further author information
,
Sandeep Gupta1 College of Engineering and Management, Punjabi University Neighborhood Campus, Rampura Phul, IndiaCorrespondence[email protected]
View further author information
,
Manjeet Singh Patterh2 University College of Engineering, Punjabi University, Patiala, IndiaView further author information
&
Lakhwinder Kaur2 University College of Engineering, Punjabi University, Patiala, IndiaView further author information
Pages 2736-2742 | Published online: 20 Feb 2020

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Hossein Mohammadi, Abdulbaghi Ghaderzadeh & Amir Sheikh Ahmadi. (2022) A Novel Hybrid Medical Data Compression Using Huffman Coding and LZW in IoT. IETE Journal of Research 0:0, pages 1-15.
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Articles from other publishers (5)

Islam S. Fathi, Mohamed Ali Ahmed & M. A. Makhlouf. (2022) An efficient compression technique for Foetal phonocardiogram signals in remote healthcare monitoring systems. Multimedia Tools and Applications 82:13, pages 19993-20014.
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Wanrong Yang, Jiajie Xu, Junhong Xiang, Zhonghong Yan, Hengyu Zhou, Binbin Wen, Hai Kong, Rui Zhu & Wang Li. (2022) Diagnosis of cardiac abnormalities based on phonocardiogram using a novel fuzzy matching feature extraction method. BMC Medical Informatics and Decision Making 22:1.
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Samarjeet Das, Debasish Jyotishi & Samarendra Dandapat. (2022) Heart Valve Diseases Detection Based on Feature-Fusion and Hierarchical LSTM Network. IEEE Transactions on Instrumentation and Measurement 71, pages 1-11.
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Samit Kumar Ghosh, Ashirwad Ray, Rajesh Kumar Tripathy & Ponnalagu R N. (2021) A Transform Domain Approach for the Compression of Fetal Phonocardiogram Signal. IEEE Sensors Letters 5:5, pages 1-4.
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Ying-Ren Chien, Kai-Chieh Hsu & Hen-Wai Tsao. (2020) Phonocardiography Signals Compression with Deep Convolutional Autoencoder for Telecare Applications. Applied Sciences 10:17, pages 5842.
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