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Volumn , Issue , 2011, Pages 826-829
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A data-driven modeling approach to stochastic computation for low-energy biomedical devices
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Author keywords
[No Author keywords available]
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Indexed keywords
BIOMEDICAL DEVICES;
CLOSED-LOOP RESPONSE;
DATA-DRIVEN METHODS;
DATA-DRIVEN MODELING;
DISEASE STATE;
ERROR SOURCES;
FAULT RATES;
HARDWARE ERROR;
LOW ENERGIES;
LOW-POWER DEVICES;
MIT-BIH DATABASE;
PATIENT DATA;
PHYSIOLOGICAL SIGNALS;
SEIZURE DETECTION;
STUCK-AT FAULTS;
SWITCHING ERRORS;
ULTRA-LOW POWER;
ERROR ANALYSIS;
HOSPITAL DATA PROCESSING;
PHYSIOLOGICAL MODELS;
PHYSIOLOGY;
SIGNAL DETECTION;
ERROR DETECTION;
ALGORITHM;
ARTICLE;
ELECTROCARDIOGRAPHY;
ELECTROENCEPHALOGRAPHY;
EQUIPMENT;
EQUIPMENT FAILURE;
HEART ARRHYTHMIA;
HUMAN;
METHODOLOGY;
POWER SUPPLY;
REPRODUCIBILITY;
SEIZURE;
SENSITIVITY AND SPECIFICITY;
STATISTICAL ANALYSIS;
STATISTICS;
INSTRUMENTATION;
ALGORITHMS;
ARRHYTHMIAS, CARDIAC;
DATA INTERPRETATION, STATISTICAL;
ELECTRIC POWER SUPPLIES;
ELECTROCARDIOGRAPHY;
ELECTROENCEPHALOGRAPHY;
EQUIPMENT FAILURE;
HUMANS;
REPRODUCIBILITY OF RESULTS;
SEIZURES;
SENSITIVITY AND SPECIFICITY;
STOCHASTIC PROCESSES;
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EID: 84861951402
PISSN: 1557170X
EISSN: None
Source Type: Conference Proceeding
DOI: 10.1109/IEMBS.2011.6090189 Document Type: Conference Paper |
Times cited : (8)
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References (13)
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