Machine learning algorithms for real time arrhythmias detection in portable cardiac devices: Microcontroller implementation and comparative analysis

STSIVA 2012 - 17th Symposium of Image, Signal Processing, and Artificial Vision

Volumn , Issue , 2012, Pages 50-55

  Rua, Santiago ^a   Zuluaga, Santiago A ^a   Redondo, Alfredo ^a   Orozco Duque, Andres ^a   Restrepo, Jose V ^a   Bustamante, John ^a  

^a UNIVERSIDAD PONTIFICIA BOLIVARIANA   (Colombia)

Author keywords

Arrhythmias; ECG signal; Machine Learning; Microcontroller; Neural Network; Support vector machine (SVM)

Indexed keywords

ARRHYTHMIAS; COMPARATIVE ANALYSIS; ECG SIGNALS; FAST WAVELET TRANSFORM; FREESCALE SEMICONDUCTORS; MICROCONTROLLER CORE; MIT-BIH DATABASE; NORMAL SINUS RHYTHM; REAL TIME; REAL-TIME DETECTION; SUBBANDS; TEST ACCURACY; TIME WINDOWS; TIME-FREQUENCY CHARACTERISTICS; TWO MACHINES; VALIDATION RESULTS; VENTRICULAR FIBRILLATION; VENTRICULAR TACHYCARDIA;

CONTROLLERS; FEATURE EXTRACTION; LEARNING SYSTEMS; MICROCONTROLLERS; NEURAL NETWORKS; SIGNAL DETECTION; SUPPORT VECTOR MACHINES; VISION;

LEARNING ALGORITHMS;

EID: 84870677311     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/STSIVA.2012.6340556     Document Type: Conference Paper

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