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What is Preprocessing

Handbook of Research on Advancements of Artificial Intelligence in Healthcare Engineering
It allows improving the quality of the raw processed data.
Published in Chapter:
Heart Sound Data Acquisition and Preprocessing Techniques: A Review
Samit Kumar Ghosh (Birla Institute of Technology and Science, Pilani, Hyderabad, India), Ponnalagu Ramanathan Nagarajan (Birla Institute of Technology and Science, Pilani, Hyderabad, India), and Rajesh Kumar Tripathy (Birla Institute of Technology and Science, India)
DOI: 10.4018/978-1-7998-2120-5.ch014
Abstract
Heart sound or phonocardiogram (PCG) signal quantifies the information about the mechanical activity of the heart, and the medical practitioners use the stethoscope to listen to this sound. The PCG signal can be used for clinical applications such as detection of various valvular diseases and non-clinical applications such as biometric system, stress and emotion detection, etc. The PCG signal acquisition and preprocessing are important tasks for the diagnosis of heart valve-related disorders and other applications. The heart sound preprocessing techniques include denoising of PCG signal, segmentation of first and second heart sound (S1, S2) and other heart sound components from the PCG signal, feature extraction from the segmented heart sound components, followed by classification. This chapter reviews the state-of-the-art approaches for heart sound acquisition and pre-processing techniques and also provides the information that is commonly used by the researchers for the validation of their PCG signal processing algorithms.
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More Results
Voice-Based Speaker Identification and Verification
It is used for cleaning, normalization, transformation, feature extraction, and selection. The product of data preprocessing is the final training set. Data pre-processing may affect how outcomes of the final data processing can be interpreted.
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Automated Framework for Software Process Model Selection Based on Soft Computing Approach
A data mining technique that includes changing from raw data into an understandable format.
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Applied Sequence Clustering Techniques for Process Mining
A series of steps applied to a dataset in order to facilitate its analysis.
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Intelligent Traffic Sign Classifiers
Operation or set of operations applied to a signal in order to improve some aspects of it.
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Biometric Technologies in Healthcare Biometrics
Preprocessing dispels artifacts from the sensor to enhance the quality of the input biometrics sample (e.g., removing background noise).
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