For the purpose of measuring the haemoglobin non-invasively, the dynamic spectrum (DS) method, which can minimize and hopefully eliminate the discrepancies among the individuals and the complicated conditions during measurement by near-infrared spectroscopy, was applied. DS is more accurate than the traditional method in haemoglobin non-invasive measurement, which was proved by theoretical derivation. In vivo measurements were carried out in 110 healthy volunteers and a criterion named the number of stable wavelengths was mentioned to evaluate the data’s quality. A back propagation neural network was used to establish the calibration model of haemoglobin concentration against DS data, which were pre-processed by some special algorithms. The correlation coefficient of the predicted values and the true values was 0.907, which demonstrates proof-of-concept for the ability of the DS method to monitor haemoglobin concentration changes non-invasively.
EamesMEDehghaniH (2008) Wavelength dependence of sensitivity in spectral diffuse optical imaging: Effect of normalization on image reconstruction.Optics Express16: 17780–91.
2.
GowdaAMcNicholsRJFossumTWRastegarSCotéGL (2001) Development of an implantable skin port sensor for use as an in vivo optical glucose sensing platform.Proceedings of the SPIE4263: 11–9.
3.
IftimiaNVHammerDXBigelowCERosenDIUstunTFerranteAAVuDFergusonRD (2006) Toward noninvasive measurement of blood hematocrit using spectral domain low coherence interferometry and retinal tracking.Optics Express14: 3377–88.
4.
JayGDRachtJMcMurdyJWMathewsZHughesASunerSCrawfordGP (2007) Point-of-care noninvasive hemoglobin determination using fiber optic reflectance spectroscopy.Proceedings of IEEE: Engineering in Medicine and Biology Society1: 2932–5.
5.
JeonKJKimSJParkKKKimJWYoonG (2002) Noninvasive total hemoglobin measurement.Journal of Biomedical Optics7: 45–50.
6.
JobsisFF (1977) Noninvasive infrared monitoring of cerebral and myocardial sufficiency and circulatory parameters.Science198: 1264–7.
7.
JohnWMGregoryDJSelimSGregoryC (2008) Noninvasive optical, electrical, and acoustic methods of total hemoglobin determination.Clinical Chemistry54: 264–72.
8.
KanashimaHYamaneTTakuboTKamitaniTHinoM (2005) Evaluation of noninvasive hemoglobin monitoring for hematological disorders.Journal of Clinical Laboratory Analysis19(1): 1–5.
9.
KhanmohammadiMGarmarudiABGhasemiKGarriguesSde la GuardiaM (2009) Artificial neural network for quantitative determination of total protein in yogurt by infrared spectrometry.Microchemical Journal9: 47–52.
10.
KraitlJEwaldHGehringH (2005) An optical device to measure blood components by a photoplethysmographic method.Journal of Optics A – Pure and Applied Optics7: S318–24.
11.
KyriacouPAPalSKLangfordRMJonesDP (2006) Electro-optical techniques for the investigation of oesophageal photoplethysmographic signals and blood oxygen saturation in burns.Transactions of the Institute of Measurement and Control39(3): 77–9.
12.
LiGangLiShangyingLinLingWangYanLiXiaoxiaLuZhiyang (2006a) Accuracy analysis of pulse oximetry based on dynamic spectroscopy.Spectroscopy and Spectral Analysis26(10): 1821–4.
13.
LiGangLiQiu-XiaLinLingLiXiao-XiaWangYanLiuYu-Liang (2006c) Discussion about the prediction accuracy for dynamic spectrum by partial FFT.Spectroscopy and Spectral Analysis26: 2177–80.
14.
LiGangLiuYu1iangLinLingLiXiao-xiaWangYan (2006b) A new near-infrared spectrometer developed for dynamic spectroscopy.Proceedings of the SPIE6047: 20–7.
15.
LiuYuliangWangZhiqiangLiGang (2007) An in vivo acquisition device for near infrared blood spectra. 4TH IEEE/EMBS International Summer School and Symposium on Medical Devices and Biosensors, Cambridge, 73–6.
16.
LiXiaoxiaLiGangLinLingLiuYuliangWangYanZhangYunfeng (2004) Dynamic spectrum in frequency domain on non-invasive in vivo measurement of blood spectru.Proceedings of the SPIE4630: 688–96.
17.
MacknetMRNortonSKimball-JonesPLApplegateRLMartinRDAllardMW (2007) Noninvasive measurement of continuous hemoglobin concentration via pulse co-oximetry.Chest132: 493S–4S.
18.
MartínJDSoriaECampsGSerranoAJSepúlvedaJRJiménezV (2004) Neural networks as effective techniques in clinical management of patients: Some case studies.Transactions of the Institute of Measurement and Control26: 169–83.
19.
StrieoeiHWKretzFJ (1989) The functional principle, reliability and limitations of pulse oximetry.Anaesthesia38(12): 649–57.
20.
WangYLiGLinLLiYLLiXXLuSC-Y (2005) Study on the measurement method of a dynamic spectrum.7th International Symposium on Measurement Technology and Intelligent Instruments. University of Huddersfield, pp. 284–8.
21.
WebsterJG (1997) Design of Pulse OximetersBristol: Institute of Physics Publishing.
