Automated identification of diabetes type-2 subjects with and without neuropathy using eigenvalues

Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine

Volumn 224, Issue 1, 2010, Pages 43-52

  See, C K ^a   Acharya, U R ^b   Zhu, K ^b   Lim, T C ^a   Yu, W W ^c   Subramaniam, T ^d   Law, C ^d  

^a SINGAPORE UNIVERSITY OF SOCIAL SCIENCES   (Singapore)

^b DEPARTMENT OF ELECTRONICS AND COMPUTER ENGINEERING   (Singapore)

^c CHIBA UNIVERSITY   (Japan)

^d ALEXANDRA HOSPITAL   (Singapore)

Author keywords

Diabetes neuropathy Gaussian mixture model artificial neural network eigenvalues continuous wavelet transform plantar foot

Indexed keywords

ARTIFICIAL NEURAL NETWORK; CONTINUOUS WAVELET TRANSFORM; EIGENVALUES; GAUSSIAN MIXTURE MODEL; PLANTAR FOOT; FOOT; NEUROPATHY; PLANTAR;

AUTOMATIC INDEXING; BACKPROPAGATION; COMMUNICATION CHANNELS (INFORMATION THEORY); EIGENVALUES AND EIGENFUNCTIONS; MAGNETOSTRICTIVE DEVICES; MIXTURES; NORMAL DISTRIBUTION; PRINCIPAL COMPONENT ANALYSIS; SUGAR (SUCROSE); WAVELET TRANSFORMS; GAUSSIAN DISTRIBUTION; MEDICAL PROBLEMS; NEURAL NETWORKS;

NEURAL NETWORKS; EIGENVALUES AND EIGENFUNCTIONS;

ADOLESCENT; ADULT; AGED; ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; BODY POSTURE; COMPUTER ASSISTED DIAGNOSIS; DIABETIC FOOT; EVALUATION; FEMALE; FOOT; HUMAN; MALE; MANOMETRY; METHODOLOGY; MIDDLE AGED; NON INSULIN DEPENDENT DIABETES MELLITUS; PATHOPHYSIOLOGY; PRESSURE; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ADOLESCENT; ADULT; AGED; AGED, 80 AND OVER; ALGORITHMS; DIABETES MELLITUS, TYPE 2; DIABETIC FOOT; DIAGNOSIS, COMPUTER-ASSISTED; FEMALE; FOOT; HUMANS; MALE; MANOMETRY; MIDDLE AGED; PATTERN RECOGNITION, AUTOMATED; POSTURE; PRESSURE; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; YOUNG ADULT;

EID: 72649097390     PISSN: 09544119     EISSN: None     Source Type: Journal    
DOI: 10.1243/09544119JEIM614     Document Type: Article

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