Thematische Bibliographien / Body impedance

Inhaltsverzeichnis

  1. Zeitschriftenartikel
  2. Dissertationen
  3. Bücher
  4. Buchteile
  5. Konferenzberichte
  6. Berichte der Organisationen

Auswahl der wissenschaftlichen Literatur zum Thema „Body impedance“

Autor: Grafiati
Veröffentlicht am 25. Mai 2024

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Zeitschriftenartikel zum Thema "Body impedance"

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Aliau-Bonet, Carles, und Ramon Pallas-Areny. „A fast method to estimate body capacitance to ground at mid frequencies“. Journal of Electrical Bioimpedance 6, Nr. 1 (08.08.2019): 33–36. http://dx.doi.org/10.5617/jeb.2569.

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Abstract Impedance measurements that involve the human body are affected by the capacitance between the body and earth ground. This paper describes a fast method to estimate that capacitance at 10 kHz, which is valid for impedance analyzers intended to measure ungrounded impedances. The method does not require any external component other than two common capacitors and two conductive electrodes in contact with the body.
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Bracco, David, Daniel Thiébaud, René L. Chioléro, Michel Landry, Peter Burckhardt und Yves Schutz. „Segmental body composition assessed by bioelectrical impedance analysis and DEXA in humans“. Journal of Applied Physiology 81, Nr. 6 (01.12.1996): 2580–87. http://dx.doi.org/10.1152/jappl.1996.81.6.2580.

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Bracco, David, Daniel Thiébaud, René L. Chioléro, Michel Landry, Peter Burckhardt, and Yves Schutz.Segmental body composition assessed by bioelectrical impedance analysis and DEXA in humans. J. Appl. Physiol. 81(6): 2580–2587, 1996.—The present study assessed the relative contribution of each body segment to whole body fat-free mass (FFM) and impedance and explored the use of segmental bioelectrical impedance analysis to estimate segmental tissue composition. Multiple frequencies of whole body and segmental impedances were measured in 51 normal and overweight women. Segmental tissue composition was independently assessed by dual-energy X-ray absorptiometry. The sum of the segmental impedance values corresponded to the whole body value (100.5 ± 1.9% at 50 kHz). The arms and legs contributed to 47.6 and 43.0%, respectively, of whole body impedance at 50 kHz, whereas they represented only 10.6 and 34.8% of total FFM, as determined by dual-energy X-ray absorptiometry. The trunk averaged 10.0% of total impedance but represented 48.2% of FFM. For each segment, there was an excellent correlation between the specific impedance index (length2/impedance) and FFM ( r = 0.55, 0.62, and 0.64 for arm, trunk, and leg, respectively). The specific resistivity was in a similar range for the limbs (159 ± 23 cm for the arm and 193 ± 39 cm for the leg at 50 kHz) but was higher for the trunk (457 ± 71 cm). This study shows the potential interest of segmental body composition by bioelectrical impedance analysis and provides specific segmental body composition equations for use in normal and overweight women.
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Mazess, Richard B. „Letters to the Editor“. Journal of Applied Physiology 84, Nr. 1 (01.01.1998): 396–97. http://dx.doi.org/10.1152/jappl.1998.84.1.396.

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The following is the abstract of the article discussed in the subsequent letter: Bracco, David, Daniel Thiébaud, René L. Chioléro, Michel Landry, Peter Burckhardt, and Yves Schutz.Segmental body composition assessed by bioelectrical impedance analysis and DEXA in humans. J. Appl. Physiol. 81(6): 2580–2587, 1996.—The present study assessed the relative contribution of each body segment to whole body fat-free mass (FFM) and impedance and explored the use of segmental bioelectrical impedance analysis to estimate segmental tissue composition. Multiple frequencies of whole body and segmental impedances were measured in 51 normal and overweight women. Segmental tissue composition was independently assessed by dual-energy X-ray absorptiometry. The sum of the segmental impedance values corresponded to the whole body value (100.5 ± 1.9% at 50 kHz). The arms and legs contributed to 47.6 and 43.0%, respectively, of whole body impedance at 50 kHz, whereas they represented only 10.6 and 34.8% of total FFM, as determined by dual-energy X-ray absorptiometry. The trunk averaged 10.0% of total impedance but represented 48.2% of FFM. For each segment, there was an excellent correlation between the specific impedance index (length2/impedance) and FFM ( r = 0.55, 0.62, and 0.64 for arm, trunk, and leg, respectively). The specific resistivity was in a similar range for the limbs (159 ± 23 cm for the arm and 193 ± 39 cm for the leg at 50 kHz) but was higher for the trunk (457 ± 71 cm). This study shows the potential interest of segmental body composition by bioelectrical impedance analysis and provides specific segmental body composition equations for use in normal and overweight women.
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Hutcheson, Lonn, Lonn Hutcheson, Kris E. Berg und Earnest Prentice. „Body Impedance Analysis and Body Water Loss“. Research Quarterly for Exercise and Sport 59, Nr. 4 (Dezember 1988): 359–62. http://dx.doi.org/10.1080/02701367.1988.10609383.

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MURAI, Akihiko. „ENV-BODY Impedance: Modeling Impedance between Human Body and Environment and Its Design“. Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2019 (2019): 2P2—H05. http://dx.doi.org/10.1299/jsmermd.2019.2p2-h05.

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Smith, DenisN, PeterM J. M. De Vries, PeterM Kouw, CeesG Olthof, Jean-PaulP M. De Vries und AbJ M. Donker. „Bioelectrical impedance and body composition“. Lancet 341, Nr. 8844 (Februar 1993): 569–70. http://dx.doi.org/10.1016/0140-6736(93)90342-e.

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BAUMGARTNER, RICHARD N., CAMERON CHUMLEA und ALEX F. ROCHE. „Bioelectric Impedance for Body Composition“. Exercise and Sport Sciences Reviews 18, Nr. 1 (Januar 1990): 193???224. http://dx.doi.org/10.1249/00003677-199001000-00009.

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Walker, M., D. Rodham, G. R. Fulcher, B. Clayton, M. Farrer und K. G. M. M. Alberti. „Bioelectrical impedance and body composition“. Lancet 341, Nr. 8842 (Februar 1993): 448. http://dx.doi.org/10.1016/0140-6736(93)93055-6.

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Lukaski, Henry C. „Body mass index, bioelectrical impedance, and body composition“. Nutrition 17, Nr. 1 (Januar 2001): 55–56. http://dx.doi.org/10.1016/s0899-9007(00)00499-8.

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Wagner, Dale R. „Bioelectrical impedance changes of the trunk are opposite the limbs following acute hydration change“. Journal of Electrical Bioimpedance 13, Nr. 1 (01.01.2022): 25–30. http://dx.doi.org/10.2478/joeb-2022-0005.

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Abstract This study aimed to evaluate the changes in impedance and estimates of body composition variables obtained from segmental multi-frequency bioelectrical impedance analysis (SMFBIA) following acute hydration change. All participants (N = 11 active adults) had SMFBIA measurements at baseline (euhydration), post-dehydration, and post-hyperhydration in an experimental repeated-measures design. Dehydration and hyperhydration trials were randomized with the opposite treatment given 24 h later. Dehydration was achieved via a heat chamber of 40 °C and 60% relative humidity. Hyperhydration was achieved by drinking lightly-salted water (30 mmol·L-1 NaCl; 1.76 g NaCl·L-1) within 30 min. Post-measurements were taken 30 min after each treatment. Despite changes in mass post-dehydration (Δ = -2.0%, p < 0.001) and post-hyperhydration (Δ = 1.2%, p < 0.001), SMFBIA estimates of total body water (TBW) did not change significantly across trials (p = 0.507), leading to significant differences (p < 0.001) in SMFBIA-estimates of body fat percentage across trials. Dehydration resulted in a significant (p < 0.001) 8% decrease in limb impedances at both 20 kHz and 100 kHz. Hyperhydration increased limb impedances only slightly (1.5%, p > 0.05). Impedance changes in the trunk followed an opposite pattern of the limbs. SMFBIA failed to track acute changes in TBW. Divergent impedance changes suggest the trunk is influenced by fluid volume, but the limbs are influenced by ion concentration.
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Dissertationen zum Thema "Body impedance"

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Blakley, Alivia. „Validity of Various Bioelectrical Impedance Analysis Devices vs the Bod Pod for Body Composition“. Cleveland State University / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=csu155934084847866.

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Nescolarde, Selva Lexa. „Segmental and whole body electrical impedance measurements in dialysis patients“. Doctoral thesis, Universitat Politècnica de Catalunya, 2006. http://hdl.handle.net/10803/6340.

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The main objective of this thesis is to contribute to the prevention and control of the cardiovascular risk, hydration state and nutritional state in dialysis patients using non-invasive electrical impedance measurements. The thesis is structured in three parts with the following objectives: 1) to establish electrical impedance reference data for healthy Cuban population, 2)to improve the diagnostic based on impedance methods in Cuban hemodialysis (HD)patients and 3) to develop the impedance methods for continuous ambulatory peritoneal dialysis patients (CAPD).
Healthy population: We analyzed the impedance vector distribution using the Bioimpedance Vector Analysis (BIVA) for the three more representative race-ethnicities in Cuba. We measured 1196 healthy adult (689 M, 507 W, 18-70 yr). The 95% confidence ellipses were drawn using specific BIVA software for mean vectors of different races. Due to the close distribution of mean vectors that we found for the three race-ethnicities, we concluded that only one set of sex-specific tolerance ellipses can be used for the Cuban population.
HD patients: The BIVA method was used in a sample of 74 HD patients in stable (without edema) and critical (hyper-hydrated and malnutrition) states in order to establish the relation between hyper-hydration and mortality. Stable group include 48 patients (28 M and 18 W), and critical group include 28 critical patients (16 M and 12 W). Student's t test and Hotelling's T2 test were used to analyse the separation of groups obtained by means of clinical diagnosis and those obtained by BIVA. A statistically significant difference was obtained (P < 0.05) in R/H, Xc/H and phase angle, PA. Critical patients (hyper-hydrated and malnutrition) were located below the inferior pole of the 75% tolerance ellipse, with PA lower than 4º. In conclusion, the BIVA method could be used to detect hyper-hydration state before edema appears, and to predict survival through PA. Advantages of the method are its simplicity, objectivity and that it does not require the definition of a patient dry weight.
CAPD patients: Segmental impedance measurements were obtained using 9 configurations (7 longitudinal and 2 transversal) in 25 CAPD male patients.
In a first study we analyzed Z, Z/H and ZBMI indexes. 23 male patients were classified according to the hydration state as normo-hydrated, group 0 (10 M) or hyper-hydrated, group 1 (13 M). Wilcoxon test was used to analyze the change in impedance produced by a PD session. Mann-Whitney U test was used to analyse the separation between groups obtained by means of clinical diagnosis and those obtained by Z, Z/H or ZBMI. Spearman correlation was used to study the correlation between impedance vectors in each segment and clinical assessment. Statistical significance was set at P < 0.05. Results show that ZBMI gives information about the specific resistivity of tissues and not about fluid and fat mass changes. BIVA separate hyper-hydrated and normo-hydrated patients. Transversal measurements in the leg region and longitudinal in the thorax region are useful to corroborate the hydration and nutritional state in CAPD patients.
In a second study a new classification was performed. Group 0 has normo-hydrated patients (10 M) and group 1 includes patients (15 M) with varying degrees of hypertension, overhydration and high score on cardiovascular risk factors. Mann-Whitney U-test was used to compare the differences in clinical measurements, laboratory test, and bioimpedance measurements between groups. The Mahalanobis Distance (dM2) was calculated using a bidimensional space, using the resistance measurement, right-side (RRS/H) or thorax segment (RTH/H) and the BPmean. Hotelling's T2 test was used to analyzed difference between groups through (RTH/H, BPmean) and (RRS/H, BPmean) vectors. A statistically significant difference was obtained (P < 0.05) in both vectors. Group 1 showed a small dM2 with respect to a reference patient (a critical patient with acute lung oedema) with high BPmean and low values of RTH/H and RRS/H. Moreover, Group 0 showed a larger dM2 with respect to the reference patient with lower BPmean and higher values of RTH/H and RRS/H. All patients classified as hyper-hydrated leading to hypertension by clinical assessment were correctly classified using dM2(RTH/H, BPmean). We conclude that segmental bioimpedance of the thoracic region could be a simple, objective, non-invasive method of support to facilitate the clinical assessment in CAPD.
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Fulton, William Sean. „Electrical impedance tomography applied to body-support interface pressure measurement“. Thesis, University of Bath, 1995. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.336236.

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Shallof, Abulgasim M. „Multi-frequency electrical impedance tomography for medical diagnostic imaging“. Thesis, University of Sheffield, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.265987.

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Montgomery, Sarah Lynn. „Impedance measurement system for embryonic stem cell and embryoid body cultures“. Thesis, Atlanta, Ga. : Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/24661.

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Biver, Deborah J. „Analysis of body composition with use of body impedance analysis and skinfold calipers : a correlation study /“. View online, 1988. http://repository.eiu.edu/theses/docs/32211998878708.pdf.

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Company, Joe Ball Stephen D. „Body composition comparison bioelectric impedance analysis with DXA in adult athletes /“. Diss., Columbia, Mo. : University of Missouri--Columbia, 2008. http://hdl.handle.net/10355/5697.

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The entire thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file; a non-technical public abstract appears in the public.pdf file. Title from PDF of title page (University of Missouri--Columbia, viewed on September 16, 2009). Thesis advisor: Dr. Steve Ball. Includes bibliographical references.
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Fallah, Shokr. „Application of bioelectrical impedance analysis to detect body composition of athletes“. Thesis, Queensland University of Technology, 2003.

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HOUTKOOPER, LINDA BRAUNSCHMIDT. „VALIDITY OF WHOLE-BODY BIOELECTRICAL IMPEDANCE ANALYSIS FOR BODY COMPOSITION ASSESSMENT IN NONOBESE AND OBESE CHILDREN AND YOUTH“. Diss., The University of Arizona, 1986. http://hdl.handle.net/10150/183914.

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Whole-body bioelectrical impedance analysis (BIA) was evaluated for its reliability and accuracy in estimating body composition in children and youth. The established electrical principle for estimating volume in a geometrical system from conductor-length('2) divided by impedance is the basis for the use of this method in humans. The hypothesis that body-height('2) divided by the resistance component of impedance (resistance index) can be used to estimate total body water (TBW), fat free body (FFB), and percent fat (%FAT) was tested. Validation studies in adults indicate BIA is a reliable and fairly accurate method of estimating TBW, FFB, and %FAT but no testing has been completed on children. The subjects were 103 nonobese and obese anglo males and females from 10 to 14 years old. Within-day reliability of resistance and reactance was assessed by analysis of variance with built-in comparisons. Between-day reliability for all measurements, made four to five weeks apart, was evaluated by test-retest correlation coefficients and paired t-tests. The criterion variables were FFB and %FAT estimated using equations developed for children and youth based on: (1) skinfolds, (2) body density, (3) TBW, (4) density and TBW, (5) density, TBW, and bone mineral content. Regression and multiple regression analyses were used to select the most accurate method of measuring FFB and %FAT and to determine the relationship among criterion variables and the following independent variables: resistance index alone and combined with sex, fatness category, sex x fatness, age, sexual maturation status, weight, anthropometric variables, and reactance. From this study the following conclusions were made: (1) BIA measurements were reliable, (2) resistance index had a linear relationship with FFB estimated from several criterion variables, (3) weight, sex, fatness category, sex x fatness, age, and sexual maturation status were significant variables for predicting criterion variables used in combination with resistance index but were not significant when anthropometric variables were included in the analysis, (4) prediction accuracy for FFB and %FAT from resistance index was fair (SEE 2.58 kg and 4.21%) and from resistance index plus anthropometric variables and reactance was good (SEE 1.88 kg and 3.26%) and similar to that from the best anthropometric variables alone (SEE 2.11 kg and 3.19%).
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Cornish, Bruce H. „Swept frequency biompedance analysis for the determination of body water compartments“. Thesis, Queensland University of Technology, 1994. https://eprints.qut.edu.au/37154/7/37154_Digitsed_Thesis.pdf.

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Bioelectrical impedance analysis, (BIA), is a method of body composition analysis first investigated in 1962 which has recently received much attention by a number of research groups. The reasons for this recent interest are its advantages, (viz: inexpensive, non-invasive and portable) and also the increasing interest in the diagnostic value of body composition analysis. The concept utilised by BIA to predict body water volumes is the proportional relationship for a simple cylindrical conductor, (volume oc length2/resistance), which allows the volume to be predicted from the measured resistance and length. Most of the research to date has measured the body's resistance to the passage of a 50· kHz AC current to predict total body water, (TBW). Several research groups have investigated the application of AC currents at lower frequencies, (eg 5 kHz), to predict extracellular water, (ECW). However all research to date using BIA to predict body water volumes has used the impedance measured at a discrete frequency or frequencies. This thesis investigates the variation of impedance and phase of biological systems over a range of frequencies and describes the development of a swept frequency bioimpedance meter which measures impedance and phase at 496 frequencies ranging from 4 kHz to 1 MHz. The impedance of any biological system varies with the frequency of the applied current. The graph of reactance vs resistance yields a circular arc with the resistance decreasing with increasing frequency and reactance increasing from zero to a maximum then decreasing to zero. Computer programs were written to analyse the measured impedance spectrum and determine the impedance, Zc, at the characteristic frequency, (the frequency at which the reactance is a maximum). The fitted locus of the measured data was extrapolated to determine the resistance, Ro, at zero frequency; a value that cannot be measured directly using surface electrodes. The explanation of the theoretical basis for selecting these impedance values (Zc and Ro), to predict TBW and ECW is presented. Studies were conducted on a group of normal healthy animals, (n=42), in which TBW and ECW were determined by the gold standard of isotope dilution. The prediction quotients L2/Zc and L2/Ro, (L=length), yielded standard errors of 4.2% and 3.2% respectively, and were found to be significantly better than previously reported, empirically determined prediction quotients derived from measurements at a single frequency. The prediction equations established in this group of normal healthy animals were applied to a group of animals with abnormally low fluid levels, (n=20), and also to a group with an abnormal balance of extra-cellular to intracellular fluids, (n=20). In both cases the equations using L2/Zc and L2/Ro accurately and precisely predicted TBW and ECW. This demonstrated that the technique developed using multiple frequency bioelectrical impedance analysis, (MFBIA), can accurately predict both TBW and ECW in both normal and abnormal animals, (with standard errors of the estimate of 6% and 3% for TBW and ECW respectively). Isotope dilution techniques were used to determine TBW and ECW in a group of 60 healthy human subjects, (male. and female, aged between 18 and 45). Whole body impedance measurements were recorded on each subject using the MFBIA technique and the correlations between body water volumes, (TBW and ECW), and heighe/impedance, (for all measured frequencies), were compared. The prediction quotients H2/Zc and H2/Ro, (H=height), again yielded the highest correlation with TBW and ECW respectively with corresponding standard errors of 5.2% and 10%. The values of the correlation coefficients obtained in this study were very similar to those recently reported by others. It was also observed that in healthy human subjects the impedance measured at virtually any frequency yielded correlations not significantly different from those obtained from the MFBIA quotients. This phenomenon has been reported by other research groups and emphasises the need to validate the technique by investigating its application in one or more groups with abnormalities in fluid levels. The clinical application of MFBIA was trialled and its capability of detecting lymphoedema, (an excess of extracellular fluid), was investigated. The MFBIA technique was demonstrated to be significantly more sensitive, (P<.05), in detecting lymphoedema than the current technique of circumferential measurements. MFBIA was also shown to provide valuable information describing the changes in the quantity of muscle mass of the patient during the course of the treatment. The determination of body composition, (viz TBW and ECW), by MFBIA has been shown to be a significant improvement on previous bioelectrical impedance techniques. The merit of the MFBIA technique is evidenced in its accurate, precise and valid application in animal groups with a wide variation in body fluid volumes and balances. The multiple frequency bioelectrical impedance analysis technique developed in this study provides accurate and precise estimates of body composition, (viz TBW and ECW), regardless of the individual's state of health.
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Bücher zum Thema "Body impedance"

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Dietrich, Alexander. Whole-Body Impedance Control of Wheeled Humanoid Robots. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-40557-5.

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National Institutes of Health (U.S.). Office of Medical Applications of Research. und NIH Technology Assessment Conference on Bioelectrical Impedance Analysis in Body Composition Measurement (1994 : National Institutes of Health), Hrsg. Bioelectrical impedance analysis in body composition measurement: National Institutes of Health Technology Assessment Conference statement : December 12-14, 1994. [Bethesda, Md: U.S. Dept. of Health and Human Services, Public Health Service, National Institutes of Health, Office of Medical Applications of Research], 1994.

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National Institutes of Health (U.S.) und NIH Technology Assessment Conference on Bioelectrical Impedance Analysis in Body Composition Measurement (1994 : National Institutes of Health), Hrsg. Bioelectrical impedance analysis in body composition measurement: Program and abstracts : December 12-14, Masur Auditorium, Clinical Center, National Institutes of Health. Bethesda, Md: National Institutes of Health, 1994.

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Gordner, Ronald L. Bioelectric impedance analysis in body composition measurement: January 1989 through December 1994 : 627 citations. Bethesda, Md: U.S. Dept. of Health and Human Services, Public Health Service, National Institutes of Health, National Library of Medicine, Reference Section, 1994.

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Raphael, Martin G. Estimating body fat by using bioelectrical-impedance measurements: A preliminary assessment. Portland, Or: U.S. Dept. of Agriculture, Forest Service, Pacific Northwest Research Station, 1991.

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National Institutes of Health (U.S.) und Technology Assessment Conference on Bioelectric Impedance Analysis in Body Composition Measurement (1994 : National Institutes of Health), Hrsg. NIH technology assessment conference on bioelectrical impedance analysis in body composition measurement. Bethesda, Md: National Institutes of Health, 1994.

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Wilbur, Matthew L. Development of a rotor-body coupled analysis for an active mount aeroelastic rotor testbed. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1998.

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Center, Langley Research, Hrsg. Development of a rotor-body coupled analysis for an active mount aeroelastic rotor testbed. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1998.

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Center, Langley Research, Hrsg. Development of a rotor-body coupled analysis for an active mount aeroelastic rotor testbed. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1998.

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Center, Langley Research, Hrsg. Development of a rotor-body coupled analysis for an active mount aeroelastic rotor testbed. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1998.

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Buchteile zum Thema "Body impedance"

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Hlubik, J., P. Hlubik und L. Lhotska. „Body Impedance Analysis“. In IFMBE Proceedings, 842–44. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03885-3_233.

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Copîndean, R., R. Holonec, F. Dragan und C. Muresan. „Method for Body Impedance Measurement“. In 6th International Conference on Advancements of Medicine and Health Care through Technology; 17–20 October 2018, Cluj-Napoca, Romania, 79–83. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-6207-1_13.

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Azcue, Maria, David Wesson, Manuela Neuman und Paul Pencharz. „What Does Bioelectrical Impedance Spectroscopy (BIS) Measure?“ In Human Body Composition, 121–23. Boston, MA: Springer US, 1993. http://dx.doi.org/10.1007/978-1-4899-1268-8_27.

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González-Correa, Clara Helena. „Body Composition by Bioelectrical Impedance Analysis“. In Bioimpedance in Biomedical Applications and Research, 219–41. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-74388-2_11.

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Fogelholm, Mikael, Harri Sievänen, Katriina Kukkonen-Harjula, Pekka Oja und Ilkka Vuori. „Effects of Meal and Its Electrolytes on Bioelectrical Impedance“. In Human Body Composition, 331–32. Boston, MA: Springer US, 1993. http://dx.doi.org/10.1007/978-1-4899-1268-8_75.

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Chumlea, Wm Cameron, Shumei S. Guo, Richard N. Baumgartner und Roger M. Siervogel. „Determination of Body Fluid Compartments with Multiple Frequency Bioelectric Impedance“. In Human Body Composition, 23–26. Boston, MA: Springer US, 1993. http://dx.doi.org/10.1007/978-1-4899-1268-8_3.

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Lukaski, Henry C. „Applications of Bioelectrical Impedance Analysis: A Critical Review“. In In Vivo Body Composition Studies, 365–74. Boston, MA: Springer US, 1990. http://dx.doi.org/10.1007/978-1-4613-1473-8_51.

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Gartner, Agnès, Bernard Maire, Francis Delpeuch, Pierre Sarda, Renée Pierre Dupuy und Daniel Rieu. „The Use of Bioelectrical Impedance Analysis in Newborns. The Need for Standardization“. In Human Body Composition, 165–68. Boston, MA: Springer US, 1993. http://dx.doi.org/10.1007/978-1-4899-1268-8_37.

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Wilson, David C., Tracey Baird, Charles M. Scrimgeour, Henry L. Halliday, Mark Reid, Garth McClure und Michael J. Rennie. „Total Body Water Measurement by Bioelectrical Impedance in the Extremely Low Birth Weight Infant“. In Human Body Composition, 185–88. Boston, MA: Springer US, 1993. http://dx.doi.org/10.1007/978-1-4899-1268-8_42.

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Chumlea, Wm Cameron, Richard N. Baumgartner und Carol O. Mitchell. „The Use of Segmental Bioelectric Impedance in Estimating Body Composition“. In In Vivo Body Composition Studies, 375–85. Boston, MA: Springer US, 1990. http://dx.doi.org/10.1007/978-1-4613-1473-8_52.

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Konferenzberichte zum Thema "Body impedance"

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Choi, JungHun. „Characteristics of Intracellular and Extracellular Fluid Ratio for the Varying Body Impedances in Fixed Total Body Fluid“. In 2017 Design of Medical Devices Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/dmd2017-3309.

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A bioelectrical impedance analysis is a proven method to measure body composition in clinical situations. It uses the relation between the body fluid and the impedances in a variety of frequencies. A body model can be simplified as a parallel combination of a capacitor and two resistors which represent a cell membrane, Intracellular Fluid (ICF), and Extracellular Fluid (ECF). Low frequency current passes through ECF and high frequency current also passes through ICF in a body. A Cole-Cole plot is a graphical interpretation of the path of impedances and each axis represents resistance and reactance with variable frequencies. A high value of resistance in a horizontal axis is a resistance value of ECF and a low value of resistance at a high frequency presents ICF. Interpolation technique is needed to find out the exact cross-point between impedance values and the horizontal axis. The two estimated impedance values are used to derive Total Body Water (TBW), ICF, ECF, Fat Free Mass (FFM), and Fat Mass (FM) from various published equations [1]. Minimizing the possible error of fluid volume assessment and accurate prediction of fluid status in a human body is essential for appropriate therapy. Different techniques of fluid status assessment in a human body can be applicable, such as physical examination, orthostatic vital signs, blood volume measurement, acoustic cardiograph, chest radiography, and thoracic ultrasonography [2]. In this study, a bioelectrical impedance spectroscopy device and simple body models were used to collect data such as TBW, ICF, ECF, FM, and FFM. The ratio between ICF and ECF was investigated for the same values of TBW, FM, and FFM by varying impedance values.
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Yukhanov, Yury V., und Tatiana Y. Privalova. „Synthesis of impedance of axisymmetric body“. In 2013 Asia Pacific Microwave Conference - (APMC 2013). IEEE, 2013. http://dx.doi.org/10.1109/apmc.2013.6694871.

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Zhancheng Wu, Jiusheng Huang und Shanghe Liu. „Measurements Of Body Impedance For Esd“. In Proceedings Electrical Overstress/Electrostatic Discharge Symposium. IEEE, 1997. http://dx.doi.org/10.1109/eosesd.1997.634235.

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Wang, Qiong, Xiao Fang und Dirk Plettemeier. „Impedance Characteristics and Field Separation of Body Implanted Antennas“. In 11th International Conference on Body Area Networks. EAI, 2017. http://dx.doi.org/10.4108/eai.15-12-2016.2267664.

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Oganezova, I., D. Pommerenke, J. Zhou, K. Ghosh, A. Hosseinbeig, J. Lee, N. Tsitskishvili, T. Jobava, Z. Sukhiashvili und R. Jobava. „Human body impedance modelling for ESD simulations“. In 2017 IEEE International Symposium on Electromagnetic Compatibility & Signal/Power Integrity (EMCSI). IEEE, 2017. http://dx.doi.org/10.1109/isemc.2017.8077944.

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González-Solís, J. L. „Study of Body Composition by Impedance Analysis“. In MEDICAL PHYSICS: Sixth Mexican Symposium on Medical Physics. AIP, 2002. http://dx.doi.org/10.1063/1.1512062.

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Bennett, Douglas A., Robert D. Horansky, Joel N. Ullom, Betty Young, Blas Cabrera und Aaron Miller. „Two-Body Models for Analyzing Complex Impedance“. In THE THIRTEENTH INTERNATIONAL WORKSHOP ON LOW TEMPERATURE DETECTORS—LTD13. AIP, 2009. http://dx.doi.org/10.1063/1.3292447.

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Gies, Don. „Human body impedance model at radio frequencies“. In 2016 IEEE Symposium on Product Compliance Engineering (ISPCE). IEEE, 2016. http://dx.doi.org/10.1109/ispce.2016.7492845.

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Jinhong Liao, Zhiyuan Zhou, Gang Wang, Chao Hu und Yong Yin. „The hardware system of Body Impedance Measurement“. In 2011 International Conference on Information and Automation (ICIA). IEEE, 2011. http://dx.doi.org/10.1109/icinfa.2011.5949061.

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González-Solís, J. L., M. Vargas-Luna, M. Sosa-Aquino, J. Bernal-Alvarado, G. Gutiérrez-Juárez, R. Huerta-Franco, A. Sanchis-Sabater, Luis Manuel Montaño Zentina und Gerardo Herrera Corral. „Study of Body Composition by Impedance Analysis“. In MEDICAL PHYSICS: Sixth Mexican Symposium on Medical Physics. AIP, 2011. http://dx.doi.org/10.1063/1.3682870.

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Berichte der Organisationen zum Thema "Body impedance"

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Raphael, M. G., H. J. Harlow und S. W. Buskirk. Estimating body fat by using bioelectrical-impedance measurements: a preliminary assessment. Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station, 1991. http://dx.doi.org/10.2737/pnw-gtr-279.

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Geisler, Corinna, Mark Hübers und Manfred Müller. Assessment of adult malnutrition with bioelectrical impedance analysis. Universitatsbibliothek Kiel, September 2018. http://dx.doi.org/10.21941/manueltask13.

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The two aims of this study were to evaluate (i) the prevalence of malnutrition based on age, sex and BMI specific PA and (ii) to determinate what specific body composition characteristics (skeletal muscle mass and adipose tissue) are related to a low PA.
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3

Doan, Brandon, Michael Brothers, Mary Terry, Rebecca McLean, Eric Kozlowski und Al Wile. Comparison of Wired and Wireless Bio-Electrical Impedance Fluid Status Monitoring Devices and Validation to Body Mass and Urine Specific Gravity Changes Following Mild Dehydration. Fort Belvoir, VA: Defense Technical Information Center, Januar 2008. http://dx.doi.org/10.21236/ada477670.

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