Design of a complex bioimpedance spectrometer using DFT and undersampling for neural networks diagnostics

Medical Engineering and Physics

Volumn 33, Issue 3, 2011, Pages 356-361

  do Amaral, Carlos Eduardo Ferrante ^a   Lopes, Heitor S ^a   Arruda, Lúcia V ^a   Hara, Marcos S ^a   Gonçalves, Antonio J ^b   Dias, Adilson A ^b  

^a UNIVERSIDADE TECNOLÓGICA FEDERAL DO PARANÁ   (Brazil)

^b FACULDADE DE CIÊNCIAS MÉDICAS DA SANTA CASA DE SÃO PAULO   (Brazil)

Author keywords

Bioimpedance spectroscopy; Neural networks; Tumor diagnostics; Undersampling

Indexed keywords

BIO-IMPEDANCE; BIOIMPEDANCE SPECTROSCOPY; BODY MASS INDEX; COMMERCIAL EQUIPMENT; ELECTRICAL IMPEDANCE SPECTROSCOPY; EXPERIMENTAL EVALUATION; FAST RESPONSE; FREQUENCY RANGES; HEAD-AND-NECK CANCER; HIGH FREQUENCY SIGNALS; INVASIVENESS; LOW COSTS; MEAN ERRORS; MEDICAL FIELDS; PASSIVE COMPONENTS; TUMOR DIAGNOSTICS; UNDER-SAMPLING; VALIDATION DATA;

DISCRETE FOURIER TRANSFORMS; SPECTROMETERS; TUMORS;

NEURAL NETWORKS;

ADULT; AGED; ANALYZER; ARTICLE; ARTIFICIAL NEURAL NETWORK; BIOIMPEDANCE SPECTROSCOPY; CASE REPORT; CONTROLLED STUDY; EQUIPMENT DESIGN; FEMALE; FOURIER TRANSFORMATION; FREQUENCY ANALYSIS; HEAD AND NECK CANCER; HUMAN; INTERMETHOD COMPARISON; MALE; MEASUREMENT ERROR; PRIORITY JOURNAL; SPECTROSCOPY;

ADULT; AGED; DIELECTRIC SPECTROSCOPY; ELECTRIC IMPEDANCE; EQUIPMENT DESIGN; FEMALE; FOURIER ANALYSIS; HUMANS; MALE; NEOPLASMS; NEURAL NETWORKS (COMPUTER);

EID: 79952315068     PISSN: 13504533     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.medengphy.2010.11.001     Document Type: Article

References (27)

1. Velmahos G.C., Wo C.C.J., Demetriades D., Shoemaker W.C. Early continuous noninvasive haemodynamic monitoring after severe blunt trauma. Injury 1999, 30:209-214.
2. Aberg P., Nicander I., Hansson J., Geladi P., Holmgren U., Ollmar S. Skin cancer identification using multifrequency electrical impedance-a potential screening tool. IEEE Trans Biomed Eng 2004, 51:2097-2102.
3. Aberg P., Geladi P., Nicander I., Hansson J., Holmgren U., Ollmar S. Non-invasive and microinvasive electrical impedance spectra of skin cancer-a comparison between two techniques. Skin Res Technol 2005, 11:281-286.
4. Sun T.P., Ching C.T., Cheng C., Huang S., Chen Y., Hsiao C., et al. The use of bioimpedance in the detection/screening of tongue cancer. Cancer Epidemiol 2010, 34:207-211.
5. Lee B.R., Roberts W.W., Smith D.G., Ko H.W., Epstein J.I., Lecksell K., et al. Bioimpedance: novel use of a minimally invasive technique for cancer localization in the intact prostate. Prostate 1999, 39:213-218.
6. Prasad S.N., Houserkova D., Campbell J. Breast imaging using 3D electrical impedence tomography. Biomed Pap Med Fac Univ Palacky Olomouc Czech Repub 2008, 152:151-154.
7. Cornish B.H., Chapman M., Hirst C., Mirolo B., Bunce I.H., Ward L.C., et al. Early diagnosis of lymphedema using multiple frequency bioimpedance. Lymphology 2001, 34:2-11.
8. York S., Ward L., Czerniec S., Lee M., Refshauge K., Kilbreath S. Single frequency versus bioimpedance spectroscopy for the assessment of lymphedema. Breast Cancer Res Treat 2009, 117:177-182.
9. Zou Y., Guo Z. A review of electrical impedance techniques for breast cancer detection. Med Eng Phys. 2003, 25(2):79-90.
10. Kyle U.G., Bosaeus I., De Lorenzo A.D., Deurenberg P., Elia M., Gómez J.M., et al. Bioelectrical impedance analysis-part I: review of principles and methods. Clin Nutr 2004, 23:1226-1243.
11. McEwan A., Cusick G., Holder D.S. A review of errors in multi-frequency EIT instrumentation. Physiol Meas 2007, 28:S197-S215.
12. Bayford R. Bioimpedance tomography. Annu Rev Biomed Eng 2006, 8:63-91.
13. Huang J., Cheng K., Peng C. Temperature-compensated bioimpedance system for estimating body composition. IEEE Eng Med Biol Mag 2000, 19:66-73.
14. Geddes L.A., Baker L.E. Principles of applied biomedical instrumentation 1989, Wiley.
15. Grimnes S., Martinsen Ø.G. Bioimpedance and bioelectricity basics 2008, Academic Press.
16. Neves C., Souza M. A method for bio-electrical impedance analysis based on a step-voltage response. Physiol Meas 2000, 21:395-408.
17. Blad B., Baldetorp B. Impedance spectra of tumour tissue in comparison with normal tissue; a possible clinical application for electrical impedance tomography. Physiol Meas 1996, 17(Suppl. 4A):A105-115.
18. Rigaud B., Hamzaoui L., Chauveau N., Martinez E., Morucci J. Tissue characterization and modeling by electrical bioimpedance spectrometry. Proceedings of 16th annual international conference of the IEEE Engineering in Medicine and Biology Society 1995, 866-867.
19. Thomas B.J., Ward L.C., Cornish B.H. Bioimpedance spectrometry in the determination of body water compartments: accuracy and clinical significance. Appl Radiat Isot 1998, 49:447-455.
20. Despagne F., Massart D.L. Neural networks in multivariate calibration. Analyst 1998, 123:157R-178R.
21. Trajanoski Z., Regittnig W., Wach P. Simulation studies on neural predictive control of glucose using the subcutaneous route. Comput Methods Programs Biomed 1998, 56:133-139.
22. Advances in neural networks-ISNN 2005. Proceedings of the second international symposium on neural networks, Part III 2005, Springer. J. Wang, X. Liao, Z. Yi (Eds.).
23. Fausett L.V. Fundamentals of neural networks: architectures algorithms and applications 1993, US ed. Prentice Hall.
24. Lin CW, Hsiao TC, Zeng MT, Chiang HH, Quantitative multivariate analysis with artificial neural networks. In: Proceedings of the second international conference on bioelectromagnetism. Melbourne, Vic., Australia, 1998. n.d. p. 59-60.
25. Lobanov A.V., Borisov I.A., Gordon S.H., Greene R.V., Leathers T.D., Reshetilov A.N. Analysis of ethanol-glucose mixtures by two microbial sensors: application of chemometrics and artificial neural networks for data processing. Biosens Bioelectron 2001, 16:1001-1007.
26. Dudykevych T., Gersing E., Thiel F., Hellige G. Impedance analyser module for EIT and spectroscopy using undersampling. Physiol Meas 2001, 22:19-24.
27. Märtens O, Min M. Multifrequency bio-impedance measurement: undersampling approach. Report-Helsinki University of Technology, Signal Processing Laboratory, vol. 46; 2004, p. 145-8.