Non-invasive prediction of hemoglobin levels by principal component and back propagation artificial neural network

Biomedical Optics Express

Volumn 5, Issue 4, 2014, Pages 1145-1152

  Ding, Haiquan ^a   Lu, Qipeng ^a   Gao, Hongzhi ^a   Peng, Zhongqi ^a  

^a CHANGCHUN INSTITUTE OF OPTICS   (China)

Author keywords

[No Author keywords available]

Indexed keywords

BACKPROPAGATION; CALIBRATION; FORECASTING; HEMOGLOBIN; INTERFERENCE SUPPRESSION; LIGHT EMITTING DIODES; LIGHT SOURCES; NEURAL NETWORKS; SAMPLING; SPECTROPHOTOMETRY; STRUCTURAL OPTIMIZATION;

BACK PROPAGATION ARTIFICIAL NEURAL NETWORK (BPANN); BROADBAND LIGHT SOURCES; CORRELATION COEFFICIENT; NON-INVASIVE DETECTION; NON-INVASIVE DIAGNOSIS; NON-INVASIVE PREDICTION; OPTIMAL NETWORK STRUCTURE; STANDARD ERROR OF CALIBRATIONS;

PRINCIPAL COMPONENT ANALYSIS;

HEMOGLOBIN;

ADULT; AGED; ANEMIA; ARTICLE; ARTIFICIAL NEURAL NETWORK; BACK PROPAGATION; DIAGNOSTIC ACCURACY; FEMALE; HEMOGLOBIN BLOOD LEVEL; HUMAN; MALE; NEAR INFRARED SPECTROSCOPY; NON INVASIVE MEASUREMENT; PRINCIPAL COMPONENT ANALYSIS; SPECTROPHOTOMETRY;

EID: 84896954766     PISSN: None     EISSN: 21567085     Source Type: Journal    
DOI: 10.1364/BOE.5.001145     Document Type: Article

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