Smartphone-based wound assessment system for patients with diabetes

IEEE Transactions on Biomedical Engineering

Volumn 62, Issue 2, 2015, Pages 477-488

  Wang, Lei ^a   Pedersen, Peder C ^a   Strong, Diane M ^b   Tulu, Bengisu ^b   Agu, Emmanuel ^c   Ignotz, Ronald ^d  

^a Worcester Polytechnic Institute   (United States)

^b WORCESTER POLYTECHNIC INSTITUTE   (United States)

^c Worcester Polytechnic Institute   (United States)

^d UNIVERSITY OF MASSACHUSETTS MEDICAL SCHOOL   (United States)

Author keywords

Android based smartphone; mean shift; patients with diabetes; wound analysis

Indexed keywords

COST EFFECTIVENESS; DISEASES; SIGNAL ENCODING; SMARTPHONES;

DIABETIC FOOT ULCER; EXAMINATION METHODS; HIGH-RESOLUTION DIGITAL CAMERAS; IMAGE ANALYSIS SYSTEMS; INSTITUTIONAL REVIEW BOARDS; MEAN SHIFT; MEAN SHIFT ALGORITHM; WOUND ANALYSIS;

ANDROID (OPERATING SYSTEM);

ACCURACY; ALGORITHM; ARTICLE; CAMERA; COMPUTER PROGRAM; DIABETIC FOOT; DISEASE SIMULATION; HUMAN; IMAGE ANALYSIS; IMAGE PROCESSING; MOBILE PHONE; QUANTITATIVE ANALYSIS; SKIN COLOR; WOUND ASSESSMENT; WOUND CARE; WOUND HEALING; COMPUTER ASSISTED DIAGNOSIS; DEVICE FAILURE ANALYSIS; DEVICES; EQUIPMENT DESIGN; ILLUMINATION; MOBILE APPLICATION; PATHOLOGY; PHOTOGRAPHY; PROCEDURES; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; CELL PHONES; DIABETIC FOOT; EQUIPMENT DESIGN; EQUIPMENT FAILURE ANALYSIS; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; LIGHTING; MOBILE APPLICATIONS; PHOTOGRAPHY; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; WOUND HEALING;

EID: 84921442182     PISSN: 00189294     EISSN: 15582531     Source Type: Journal    
DOI: 10.1109/TBME.2014.2358632     Document Type: Article

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