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Volumn 1, Issue , 2010, Pages 135-142
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A genetic algorithm for clustering temporal data: Application to the detection of stress from ECG signals
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Author keywords
Electrocardiogram; Genetic algorithm; Stress detection; Temporal data; Unsupervised learning
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Indexed keywords
ANALYSIS OF DATA;
AUTOMATIC METHOD;
CLUSTERING ENSEMBLE;
CLUSTERING TECHNIQUES;
COGNITIVE TASK;
DATA SETS;
ECG SIGNALS;
ELECTROCARDIOGRAM;
EMOTIONAL STATE;
EVOLUTIONARY COMPUTATIONS;
MEDICAL DIAGNOSIS;
SPECIFIC TASKS;
STRESS DETECTION;
STRESS STATE;
TEMPORAL DATA;
TEMPORAL EVOLUTION;
ARTIFICIAL INTELLIGENCE;
CLUSTER ANALYSIS;
ELECTROCARDIOGRAPHY;
ELECTROCHROMIC DEVICES;
ELECTROPHYSIOLOGY;
GENETIC ALGORITHMS;
LEARNING ALGORITHMS;
SIGNAL DETECTION;
STRESSES;
UNSUPERVISED LEARNING;
CLUSTERING ALGORITHMS;
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EID: 77956284840
PISSN: None
EISSN: None
Source Type: Conference Proceeding
DOI: None Document Type: Conference Paper |
Times cited : (6)
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References (8)
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