Nowadays, the Electrical Bioimpedance (EBI) measurements have become a commonpractice as they are useful for different clinical applications. EBI technology and EBImeasurement systems are relatively simple when compared to other type of medicalinstrumentation. But even in such simple measurement systems measurement artifact mayoccur. One of the most common artifacts present measurements is the Hook Effect, which isidentifiable by the hook-alike deviation on the EBI data that it produces on the impedanceplot.The Hook Effect influences typical EBI data analysis processes like Cole fitting processand the estimation of the Cole parameters, which are critical for several EBI applications.Therefore the Hook Effect must be corrected, compensated or removed before the any fittingprocess.With the goal of finding a reliable correction method the origin and the impact on theEBI measurement of the Hook Effect is studied in this thesis. The currently used Tdcompensation method is also studied and a new approach for compensation and correction ispresented.The results indicate that the proposed method truly corrects the Hook Effect and that themethodology to select the correcting parameters is solid based on the origin of the Hook Effectand it is extracted from the EBI measurement it-self avoiding any external dependency.

The concept of Electrical Bio Impedance prevails in this thesis. The EBI measurement which is used for obtaining the body composition is, by virtue of time becoming of great use as its one of the easiest method of finding out the body composition. In simple words, EBI is the opposition offered by the body to the current. It is just like another analysis tool. The result is only as good as the test is done. In this thesis, we have done the analysis on the neonatal EBI measurements of two kinds.In this work, 293 measurements are obtained from 12 babies and 230 measurements are obtained from 7 babies have been analyzed with the purpose of obtaining reference values for the spectrum of complex EBI. The analysis uses both statistical and model approach of obtaining reference values and in order to fit the given data, Cole model analysis is used.Filters were applied to get the highest degree of correctness. In the due course of the filtering, it was found that the measurements from some babies have been deleted. The Standard Error of Estimation (S.E.E.) is a parameter used for obtaining the further reliable and most probable output. The further analysis is done using MATLAB and the results are been compared to the previous analysis report.

Electrical Bioimpedance measurement has been used in clinical practice for several years for non-invasive monitoring. In recent years new applications of electrical bioimpedance measurements based in the spectral analysis has been validated.This fact have encouraged the use of spectral analysis on Electrical Bioimpedance measurements and it is a wide spread idea that spectral analysis of electrical bioimpedance data is going to open the door for new indicators for health assessment.The intended goal of this project is to develop a software tool, based in Matlab, that allows researchers to perform, both spectral and time signal analysis on the measurements performed Electrical Bioimpedance Spectrometers. This tool must incorporate the necessary display capabilities to allow quick visual inspection and visualization of the analysis results.Once this tool has been implemented, spectral analysis and validation of classification features will be possible in an easy way accelerating the process of test and analysis of experimental data analysis. This task is always critical in any research or clinical study.To facilitate the spectral analysis of electrical bioimpedance data will contribute to the developing of novel methods of non-invasive diagnosis and monitoring. / Uppsatsnivå: D

Electrical Bioimpedance (EBI) is the opposition offered by the biological material to theflow of electric current. Nowadays EBI technology is widely used for total body compositionand body fluid distribution.In this project a software suite is developed by using the GUI tool of Matlab, thissoftware is meant to help to remove artefacts from the EBI measurement and to visualize theEBIS measurements and the processing performed on them.Hook effect is one of the major artefacts found in EBI measurements, which createsproblems in any analysis. To eliminate the Hook effect some methods are followed. The data’sare processed using these methods and they are visualized. For the better understanding, bothraw data and the corrected data are plotted in impedance and admittance plots. The correcteddata is stored for further use and analysis.

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Made available in DSpace on 2014-06-11T19:31:05Z (GMT). No. of bitstreams: 0 Previous issue date: 2008-08-13Bitstream added on 2014-06-13T21:02:08Z : No. of bitstreams: 1 behling_eb_dr_arafcf.pdf: 524574 bytes, checksum: 4282566c71831604413ca31e88390247 (MD5) / Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) / Universidade Estadual Paulista (UNESP) / As crianças com câncer necessitam manter o crescimento linear e o ganho de peso para uma melhor evolução clínica. Assim, o tratamento da criança com câncer deve garantir não só sua sobrevivência, mas proporcionar crescimento e desenvolvimento adequados. A avaliação nutricional é utilizada para reconhecer o paciente com maior facilidade de desenvolver a má nutrição garantindo assim um planejamento nutricional adequado. O objetivo do presente estudo foi avaliar o estado nutricional de crianças antes, durante e após o tratamento quimioterápico. Foram avaliadas 14 crianças com câncer, com idade entre 5 a 15 anos, divididas em dois grupos: Grupo Tumores Sólidos e Grupo Tumores Hematológicos. Estas foram avaliadas através dos dados de ingestão alimentar, antropometria, análise por Impedância Bioelétrica (BIA) e por Diluição Isotópica. Os resultados encontrados demonstram que os pacientes apresentaram um aumento de peso, estatura, índice de massa corporal, circunferência do quadril, da cintura e do braço, da prega cutânea subescapular, assim como o aumento da massa gorda pela técnica de diluição isotópica durante o tratamento quimioterápico, no Grupo Tumores Hematológicos. No Grupo Tumores Sólidos as crianças apresentaram uma diminuição da massa magra, quando analisado pela impedância bioelétrica. Houve uma correlação positiva entre a prega cutânea tricipital e a massa gorda obtida através da BIA e pela Diluição Isotópica. A circunferência muscular do braço também se correlacionou com a massa magra estimada pela BIA e pela Diluição Isotópica. Não houve mudança na ingestão energética e de macronutrientes nos três momentos da pesquisa. Esses resultados demonstram que os pacientes com tumores hematológicos apresentaram aumento de peso, estatura e de massa gorda, fato este não ocorrido no Grupo Tumores Sólidos. / Children with cancer need to maintain growth and weight gain to a better clinic evolution. So, the treatment of children with cancer must not only guarantee the survival but also adequate growth and development. The nutritional assessment is useful to recognize the patient who is more accessible to develop malnutrition leading to an adequate nutritional plan. The aim of this study was to assess the nutritional status in children before, during and after chemotherapy treatment. In this study, 14 children with cancer were evaluated ranging from 5-15 years old devided into two groups: Hematologic Tumor Group and Solid Tumor Group. They were evaluated through dietary intake, anthropometry, bioimpedance analysis (BIA) and isotopic dilution. The results show that the patients increase weight, stature, body mass index, hip, waist and arm circumferences, subscapular skinfold thickness, as well as an increase in fat-mass with isotopic dilution technique during the chemotherapy treatment, in the Hematologic Tumors Group. In the Solid Tumor Group the children showed a reduction in fat free mass when assessed by bioelectric impedance. There was a positive correlation between triceps skinfold thickness and fat-mass with BIA and Isotopic Dilution technique. The arm muscle circumference correlated with the fatfree- mass estimated by the BIA and Isotopic Dilution. There was no change in energetic intake and macronutrients at the three moments of the research. These results demonstrate that patients with hematologic tumors had an increase in body weight, stature and fat-mass, which was not observed in Solid Tumors Group. The good correlation between anthropometry and isotopic dilution technique and BIA show its applicability in clinical practice.

Submitted by PPG Pediatria e Sa?de da Crian?a (pediatria-pg@pucrs.br) on 2018-09-11T11:29:41Z No. of bitstreams: 1 Tese VFC 09-07-18 Lisi Vers?o Final.pdf: 2404794 bytes, checksum: cc151e819fe2b2d350e28543f9ab9cbf (MD5) / Approved for entry into archive by Sheila Dias (sheila.dias@pucrs.br) on 2018-09-12T13:08:07Z (GMT) No. of bitstreams: 1 Tese VFC 09-07-18 Lisi Vers?o Final.pdf: 2404794 bytes, checksum: cc151e819fe2b2d350e28543f9ab9cbf (MD5) / Made available in DSpace on 2018-09-12T13:12:17Z (GMT). No. of bitstreams: 1 Tese VFC 09-07-18 Lisi Vers?o Final.pdf: 2404794 bytes, checksum: cc151e819fe2b2d350e28543f9ab9cbf (MD5) Previous issue date: 2018-06-14 / Introduction: The analysis of body composition is fundamental, since it is associated with the general health of individuals. Objective: To evaluate the association between socioeconomic and clinical variables with body composition in children and adolescents. Methods: Were included for convenience, participants between 5 and 19 years. Socioeconomic and clinical variables were assessed by a standardized questionnaire and corporal bioimpedance by Biospace, model InBodyS10, from Ottoboni. The variables studied were compared in relation to sex by t-test for independent and chi-square samples. The outcome variables (body mass index, skeletal mass, fat free mass and fat percentage )and predictor variables (age, sex, race, place of residence, father's schooling, physical activity, birth weight and breastfeeding )were analyzed using the quantile regression model (percentile 5, 50 and 95). The testes were bidirectional and were compared in comparison with p <0.05. Results: Among the 529 participants included, 284 (53.6%) were female and mean age was 11.41 ? 3.9 years. The body mass index was the only one to be dissociated from the majority of the sexes (p = 0.753). The decrease in weight was associated with lower skeletal muscle mass (Difference = -8.51, 95% CI -11.12 to -5.90, p <0.001), lower fat-free mass (Difference = -13.80, 95% CI (P <0.001) and lower body mass index (Difference = -2.88, 95% CI - 4.42 to - 1.33, p <0.001) when adjusted for birth weight and breastfeeding. The lowest percentage of fat was associated with an inexpensive relative (Difference = -5.01, 95% CI -9.45 to -0.56, p = 0.027) only in the crude analyzes. Conclusion: Muscle mass,fat free mass, skeletal muscle mass and body mass index are associated with family income. / Introdu??o: A an?lise da composi??o corporal ? fundamental, pois est? fortemente associada com sa?de geral dos indiv?duos. Objetivo: Avaliar as associa??es entre fatores socioecon?micos e cl?nicos na composi??o corporal em crian?as e adolescentes. M?todos: Foram inclu?das por conveni?ncia, participantes com idades entre 5 e 19 anos. Crit?rios socioecon?micos e cl?nicos foram analisados por um question?rio padronizado e a composi??o corporal por bioimped?ncia el?trica (Biospace, modelo InBodyS10, da Ottoboni). As vari?veis estudadas foram comparadas em rela??o ao sexo por meio do teste t para amostras independentes e Qui-quadrado. As rela??es das vari?veis de desfecho (?ndice de massa corporal, massa livre de gordura, massa muscular esquel?tica e percentual de gordura) e as vari?veis preditoras (renda familiar, idade, sexo, ra?a, local de moradia, escolaridade do pai, atividade f?sica, peso ao nascimento e amamenta??o) foram analisadas mediante o modelo de regress?o quant?lica (percentil 5, 50 e 95). Os testes foram bidirecionais e as diferen?as foram consideradas significativas com p<0,05. Resultados: Entre os 529 participantes inclu?dos, 284 (53,6%) eram do sexo feminino e m?dia de idade foi de 11,41? 3,9 anos. O ?ndice de massa corporal foi o ?nico desfecho que n?o mostrou diferen?a significativa entre os sexos (p=0,753). A menor renda familiar foi associada com a menor massa muscular esquel?tica (Diferen?a= -8,51; IC95% -11,12 a -5,90, p<0,001), menor massa livre de gordura (Diferen?a= -13,80; IC95% -18,70 a -8,89, p<0,001) e menor ?ndice de massa corporal (Diferen?a= -2,88; IC95% - 4,42 a - 1,33, p<0,001) quando ajustado para peso ao nascimento e amamenta??o. O menor percentual de gordura associou-se a menor renda familiar (Diferen?a= -5,01; CI95% -9,45 a - 0,56, p=0,027) apenas nas an?lises brutas. Conclus?o: A renda familiar est? associada com a menor massa livre de gordura, massa muscular esquel?tica e ?ndice de massa corporal.

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.

The objective of the present study was to explore the correlation between resting metabolic rate (RMR), body composition and physical activity in active and inactive men and women aged 20-30 years. In total, 13 active and 10 inactive women and 8 active and 5 inactive men were enrolled in this study. RMR was measured using an indirect respiratory calorimeter and body composition was obtained using a BodPod, anthropometric measurements (measurements of waist, weight, skin fold thickness etc.) and bioelectrical impedance analysis. From the BodPod were information obtained about fat-free mass (FFM) and fat mass (FM) and from the bioelectrical impedance analysis were data obtained about the total body water (TBW). By combining the data from these methods a three-compartment model could be produced. This gives a better value of the body composition. By using anthropometric measurements the muscle mass (MM) could be calculated. FFM measurements correlate best with RMR for both active men and women and for inactive women. For the inactive men MM correlates best with RMR. In conclusion, comparing the groups as a whole it is seen that the FFM correlates best with RMR for both women and men. Since the muscles are the metabolically active part of FFM it is concluded that muscles affects the RMR value and muscles can in turn be influenced by training.