Abbreviations: SD, standard deviation; CI, confidence intervals; BMI, body mass index
In Figure 1 , the difference between groups in fat percentage and BMI can be observed. For able-bodied persons, fat
Tushar Kanti Bera, Samir Kumar Biswas, K. Rajan and J. Nagaraju
. Castro G. M. Gaona G. A. Aguillon M.A. Rosell F. P. J. Carrera B. J Electrical Impedance Tomography: An Electronic Design, with Adaptive Voltage Measurements and A Phantom Circuit for Research in The Epilepsy Field Proceedings - 19th Internl Conf. - IEEE/EMBS Oct. 30 - Nov. 2 1997 867 868 USA
19 Henderson R. P., Webster J. G. An impedance camera for spatially specific measurements of the thorax. IEEE Transactions on Biomedical Engineering. 1978;Bme-25(3):250-254. 10.1109/TBME.1978.326329 Henderson R. P. Webster J. G An
all frequencies of distilled water.
f / kHz
Admittance (μS) 2-Outer Electrodes
Admittance (μS) 2-Inner Electrodes
Admittance (μS) 4-Electrodes
The configuration of the electrodes also contributes to the increase in the measured admittance. For the four electrode setup there is no current flow through the voltage measurement electrodes, thus there
analyzer and calculated body capacitance to ground C g for the four subjects and two feet heights above to ground: 10 cm (u) and direct outsole contact (d).
C HLu (pF)
C gu (pF)
C HLd (pF)
C gd (pF)
Capacitance C HL measured with the MT4080 LCR meter and calculated body capacitance to ground C g for the four subjects and two feet heights above ground: 10 cm (u) and direct outsole
Farhad Abtahi, Fernando Seoane and Kaj Lindecrantz
through analogue filtering.
Apparent frequencies of a signal with a 0.3 Hz actual frequency component, sampled at 0.2, 0.3, 0.4 and 0.5 Hz are depicted. It is clear that due to aliasing the apparent frequency differs from the actual frequency in all cases.
Irrespective of choice of estimation method for the impedance spectra, be it frequency sweep, multi-sine or other, longer estimation times yield better estimates; the more periods of the stimulation and sensing voltage/current, the higher signal-to-noise ratio (SNR). For slowly varying signals, e.g
C. Canali, K. Aristovich, L. Ceccarelli, L.B Larsen, Ø. G. Martinsen, A. Wolff, M. Dufva, J. Emnéus and A. Heiskanen
. H. Tizzard A. Gibson A. P. a. T Tidswell Sparkes M. K. Dehghani H. Binnie C. D. Holder D. S. Neuroimage 2003 20 752 764 org/10.1016/S1053-8119(03)00301-X
17 B. Amm, T. Kao, X. Wang, G. Boverman, J. Sabatini, J. Ashe, J. Newell, S. Member, D. Isaacson and S. Member, IEEE Eng. Med. Biol. Soc., 2014, 6064–6067.
Amm B. Kao T. Wang X. Boverman G. Sabatini J. Ashe J. Newell J. Member S. Isaacson D. Member S. IEEE Eng. Med. Biol. Soc 2014 6064 6067
18 H. Reinius, J. B. Borges, F
Gabriel A. Ruiz, Martín L. Zamora and Carmelo J. Felice
)00229-X 14623474 Liju Y Chuanmin R Yanbin L Detection of viable Salmonella typhimurium by impedance measurement of electrode capacitance and medium resistance Biosens. Bioelectron 2003 19 495 – 502 http://dx.doi.org/10.1016/S0956-5663(03)00229-X
24 Manli G, Jinhua Ch, Xubin Y, Kun Ch, Lihua N, Shouzhuo Y. Monitoring of cell growth and assessment of cytotoxicity using electrochemical impedance spectroscopy. Biochim. Biophys. Acta. 2006; 1760: 432-439. 16388905 10.1016/j.bbagen.2005.11.011 Manli G Jinhua Ch Xubin Y Kun Ch Lihua
Supporting Information (see Fig. S2 and Table S1). The coefficients for the relaxation modulus are shown in Table 2 :
The mean coefficients for the relaxation modulus and time constants as calculated by fitting to the small strain indentation data given in figures 8 and 14 . Errors given to one standard deviation.
G ∞ (kPa)
G 0 (kPa)
G 1 (kPa)
G 2 (kPa)
T 1 (s)
25 Coy SL, Cheema AK, Tyburski JB, Laiakis EC, Collins SP, Fornace A, Jr. Radiation metabolomics and its potential in biodosimetry. Int J Radiat Biol 2012;87(8):802-23. http://dx.doi.org/10.3109/09553002.2011.556177
Coy SL Cheema AK Tyburski JB Laiakis EC Collins SP Fornace A, Jr Radiation metabolomics and its potential in biodosimetry Int J Radiat Biol 2012 87 8 802 23 http://dx.doi.org/10.3109/09553002.2011.556177
26 Paul S, Amundson SA. Development of gene expression
analyzed, each containing 30 min of annotated ECG recordings of continuous ECG. The ECG recordings in this database contain the normal clinical recordings, complex ventricular, junctional, and supraventricular arrhythmias [ 25 ]. These records were sampled at 360 Hz and band pass filtered at 0.1 – 100 Hz [ 25 ]. In this paper, our method was evaluated by five classes of beats including: non-ectopic beats (N), fusion beats (F), supraventricularectopic beats (S), ventricular ectopic beats (V), and unknown beats (U). The summarization of the five classes of ECG beat samples