ECG Signal Processing Using DSK TMS320C6713
نویسندگان
چکیده
منابع مشابه
Real Time Speech Recognition Using DSK TMS320C6713
Speech recognition is an important field of digital signal processing. Automatic Speaker Recognition (ASR) objective is to extract features, characterize and recognize speaker. Mel Frequency Cepstral Coefficients (MFCC) is most widely used feature vector for ASR. MFCC is used for designing a text dependent speaker identification system. In this paper the DSP processor TMS320C6713 with Code Comp...
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The quality of speech signal over a VoIP system is degraded by various network layer problems which include jamming, jitter, packet loss. Different types of noises also degrade the quality of speech signal such as external noise and quantization noise. This paper improves the quality of VoIP speech signal affected by these noises and network layer problems. The quality of degraded VoIP speech s...
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The ECG signal, even rest ECG, is often corrupted by artifacts produced by varies sources of either artificial or biological nature. Main artificial artifacts are power line interference, Impulse noise, Electrostatic potentials and noise of electronic devices. The main biological artifacts are motion artifacts and muscle artifacts (EMG signal) The present work introduces the digital filtering m...
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Signal processing today is performed in the vast majority of systems for ECG analysis and interpretation. The objective of ECG signal processing is manifold and comprises the improvement of measurement accuracy and reproducibility (when compared with manual measurements) and the extraction of information not readily available from the signal through visual assessment. In many situations, the EC...
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ژورنال
عنوان ژورنال: IOSR Journal of Engineering
سال: 2012
ISSN: 2278-8719,2250-3021
DOI: 10.9790/3021-021012443