L'estimation des solutions du problème inverse en Électrocardiographie (ECG) représente un intérêt majeur dans le diagnostic et la thérapie d'arythmies cardiaques par cathéter. Ce dernier consiste à fournir des images 3D de la distribution spatiale de l'activité électrique du cœur de manière non-invasive à partir des données anatomiques et électrocardiographiques. D'une part ce problème est rendu difficile à cause de son caractère mal-posé. D'autre part, la validation des méthodes proposées sur données cliniques reste très limitée. Une alternative consiste à évaluer ces méthodes sur des données simulées par un modèle électrique cardiaque. Pour cette application, les modèles existants sont soit trop complexes, soit ne produisent pas un schéma de propagation cardiaque réaliste. Dans un premier temps, nous avons conçu un modèle cœur-torse basse-résolution qui génère des cartographies cardiaques et des ECGs réalistes dans des cas sains et pathologiques. Ce modèle est bâti sur une géométrie coeur-torse simplifiée et implémente le formalisme monodomaine en utilisant la Méthode des Éléments Finis (MEF). Les paramètres ont été identifiés par une approche évolutionnaire et leur influence a été analysée par une méthode de criblage. Dans un second temps, une nouvelle approche pour résoudre le problème inverse a été proposée et comparée aux méthodes classiques dans les cas sains et pathologiques. Cette méthode utilise un a priori spatio-temporel sur l'activité électrique cardiaque ainsi que le principe de contradiction afin de trouver un paramètre de régularisation adéquat. / The estimation of solutions of the inverse problem of Electrocardiography (ECG) represents a major interest in the diagnosis and catheter-based therapy of cardiac arrhythmia. The latter consists in non-invasively providing 3D images of the spatial distribution of cardiac electrical activity based on anatomical and electrocardiographic data. On the one hand, this problem is challenging due to its ill-posed nature. On the other hand, validation of proposed methods on clinical data remains very limited. Another way to proceed is by evaluating these methods performance on data simulated by a cardiac electrical model. For this application, existing models are either too complex or do not produce realistic cardiac patterns. As a first step, we designed a low-resolution heart-torso model that generates realistic cardiac mappings and ECGs in healthy and pathological cases. This model is built upon a simplified heart torso geometry and implements the monodomain formalism by using the Finite Element Method (FEM). Parameters were identified using an evolutionary approach and their influence were analyzed by a screening method. In a second step, a new approach for solving the inverse problem was proposed and compared to classical methods in healthy and pathological cases. This method uses a spatio-temporal a priori on the cardiac electrical activity and the discrepancy principle for finding an adequate regularization parameter.

O presente trabalho foi realizado em duas etapas experimentais. O objetivo do Experimento 1 foi avaliar o perfil de produção de anticorpos anti-eCG em novilhas Bos taurus e Bos indicus tratadas uma, duas ou três vezes, com 400 e com 2000UI de eCG. O experimento foi realizado em duas réplicas com o mesmo desenho experimental, porém com padrões raciais distintos. Os animais foram divididos em 6 grupos: os grupos eCG2000UI_1x (n = 5), eCG2000UI_2x (n = 5) e eCG2000UI_3x (n = 5) receberam, respectivamente, um, dois e três tratamentos com 2000 UI de eCG, enquanto os grupos eCG400UI_1x (n = 5), eCG400UI_2x (n = 5) e eCG400UI_3x (n = 5) receberam os mesmos tratamentos porém com 400 UI de eCG. Foram realizadas coletas de sangue semanais por um período de 63 dias, em seguida o intervalo entre as coletas foi de 30 e 60 dias totalizando um período de 300 dias. A dosagem dos anticorpos anti-eCG foi realizada por teste ELISA. O número de tratamentos não influenciou a produção de anticorpos anti-eCG; a produção de anticorpos foi maior em fêmeas Bos taurus que em Bos indicus, e a aplicação de 2000 UI de eCG resultou em maiores concentrações de anticorpos que a aplicação de 400 UI nos primeiros 21 dias após o tratamento e na resposta tardia. O objetivo do Experimento 2 foi avaliar a memória imunológica celular e humoral de fêmeas Bos taurus previamente tratadas com 400 e 2000 UI de eCG, e verificar a influência dessa possível memória imunológica na atividade biológica da molécula de eCG. Além dos animais utilizados no experimento anterior, no Experimento 2 foram incluídos outros nove animais sem tratamento prévio com eCG: eCG2000UI_Controle (n = 5) e eCG400UI_Controle (n = 4). No D0 os animais receberam 2 mg de benzoato de estradiol e um dispositivo intravaginal de progesterona (DIB). Quatro dias mais tarde, as fêmeas dos grupos eCG2000UI_1x, eCG2000UI_2x, eCG2000UI_3x e eCG2000UI_Controle receberam 2000 UI de eCG, enquanto as fêmeas dos grupos eCG400UI_1x, eCG400UI_2x, eCG400UI_3x e eCG400UI_Controle receberam 400 UI de eCG. No momento da retirada do DIB (D8) os animais receberam PGF2 e 1 mg de cipionato de estradiol. Foram realizadas coletas de sangue semanais por 32 dias para dosagem de anticorpos, e duas coletas para avaliação da atividade celular proliferativa no D0 e D32. No momento da retirada do DIB as novilhas foram submetidas a exame ultrassonográfico para avaliação da resposta superestimulatória (no. de folículos > 6 mm) e para mensuração do diâmetro do maior folículo nas fêmeas tratadas com 2000 e 400 UI de eCG, respectivamente. O tratamento prévio não gerou memória imunológica humoral, independente da dose e do número de tratamentos realizados. No entanto, foi observada memória imunológica celular, sendo que esta memória foi maior nos animais submetidos a maior número de tratamentos prévios. Foi observada tendência de efeito de réplica na resposta superestimulatória, e correlação negativa entre a concentração de anticorpos e o número de folículos > 6 mm. O tratamento com 400 UI de eCG não mostrou os mesmos efeitos no diâmetro folicular. / The present study was carried out in two experimental steps. Experiment 1 was designed to evaluate the anti-eCG antibodies production in Bos taurus and Bos indicus heifers, in response to 400 and 2000UI of eCG, employed once, twice or three times. This experiment was performed in two identical experimental designs, however, using distinct genetic groups. Animals where randomly divided in six groups: eCG2000UI_1x (n = 5), eCG2000UI_2x (n = 5) and eCG2000UI_3x (n = 5) were respectively treated with one, two and three injections of 2000 UI of eCG. Groups eCG400UI_1x (n = 5), eCG400UI_2x (n = 5) and eCG400UI_3x (n = 5) were submitted to the same treatment protocol aforementioned; however, eCG dose was 400UI. Animals where then submitted to weekly blood sampling during a 63 days period, and then samples were collected within intervals ranging from 30-60 days, totalizing a period of 300 days. Anti-eCG dosage assay was performed by ELISA. Antibody production was not affected by the number of doses; however, was higher in Bos taurus females. Moreover, higher antibodies levels in the first 21 days after treatment and in the late response were observed when 2000 UI of eCG was applied. The Experiment 2 was focused on the evaluation of cellular and humoral immunological memory of Bos Taurus females previously treated with 400 and 2000 UI of eCG, as well as to figure out influence of the possible immunological response on biological activity of eCG molecule. Besides the animals that were used in the first experiment, nine additional heifers were included in the second trial, which were eCG2000UI_Control (n = 5) and eCG400UI_Control (n = 4). The treatment protocol was: on Day 0 (D0) all heifers received 2 mg of estradiol benzoate and one intravaginal progesterone device (DIB). Four days later, groups eCG2000UI_1x, eCG2000UI_2x, eCG2000UI_3x and eCG2000UI_Control received an injection of 2000 UI eCG, while groups eCG400UI_1x, eCG400UI_2x, eCG400UI_3x and eCG400UI_Control received 400 UI. By the time of DIB withdrawal (D8), animals were treated with PGF2 plus 1 mg of estradiol cipionate treatment. Afterwards, weekly blood samples were collected during 32 days for antibodies assay. Two additional blood samples were performed on day D0 and D32 to evaluate the cellular proliferative activity in response to eCG. In order to evaluate the ovarian stimulatory response (number of follicles > 6mm) in heifers treated with 2000 UI of eCG as well as the size of the largest follicle in those heifers treated with 400UI, ultrasound examination was carried by the time of DIB withdrawal. Humoral immunological memory response was not observed in animals previously treated with 400 or 2000 UI of eCG, regardless the number of treatments. Otherwise, cellular immunological memory response was observed and was higher in animals subjected to an increased number of treatments. A tendency of replicate effect in follicle numbers (> 6mm) was observed, as well as a high negative correlation between antibodies concentration and the number of follicles > 6mm. Same results were not observed when 400 UI of eCG treatment was performed.

Protocolos hormonais amplamente utilizados no Brasil em reprodução animal melhoram qualitativa e quantitativamente os rebanhos. Os protocolos de estimulação do folículo dominante e superovulação que utilizam a aplicação dos hormônios folículo-estimulante (FSH) e/ou gonadotrofina coriônica equina (eCG) tem se mostrado eficientes para aumentar a taxa de prenhez e o número de descendentes de alto valor genético, respectivamente. Neste contexto o útero é um órgão essencial para a reprodução em mamíferos e provavelmente alvo destes protocolos. Vários fatores regulam o seu desenvolvimento, como por exemplo, a angiogênese inerente aos órgãos genitais femininos, a implantação e o desenvolvimento da placenta e as ações da progesterona (P4) plasmática. O Fator de Crescimento Endotelial Vascular (VEGF-A) é uma proteína que tem uma função dinâmica de regulação do crescimento vascular endotelial, angiogênese e permeabilidade vascular. Entre os fatores que aumentam a sua expressão, podemos citar os hormônios esteróides ovarianos, as prostaglandinas, o FSH e o próprio eCG. Em geral, estas ações em conjunto estão relacionadas à preparação do ambiente uterino para uma futura prenhez. Deste modo, o objetivo deste trabalho é analisar a expressão do sistema VEGF-A (VEGF-A e seus recpetores FLT-1 e KDR) no útero bovino após o tratamento com diferentes doses de eCG e quantificar as glândulas uterinas presentes nos animais dos diferentes grupos. Para tanto, os animais foram divididos em três grupos: controle, estimulado e superovulado, os quais foram sincronizados e receberam 400 UI (grupo estimulado), 2000 UI (grupo superovulado) ou não receberam eCG (grupo controle). Aos 6 dias após a ovulação, os animais foram abatidos e as amostras coletadas destinadas aos protocolos de imunoistoquímica e PCR em tempo real. Para a estimativa das glândulas uterinas foi utilizado o método morfométrico de contagem. O sistema VEGF-A foi localizado por meio da imunoistoquímica em diferentes tipos celulares, como nos epitélios uterinos e glandulares sem diferenças qualitativas em relação aos locais de expressão ou intensidade do sinal positivo. A expressão do mRNA do sistema VEGF-A não apresentou diferença significativa (P>0,05) entre os diferentes grupos. No que se refere à contagem do número de glândulas uterinas, o grupo superovulado apresentou maior quantidade em relação aos grupos controle e estimulado (P<0,05). A correlação entre o mRNA do sistema VEGF-A, a concentração de progesterona plasmática (P4) e o número de glândulas uterinas foi positiva para o Flt-1 com o KDR (r=0,60 p=0,0045) e para P4 com as glândulas uterinas (r=0.74 p=0,0078). Assim, podemos inferir que o tratamento com eCG não aumenta a expressão do sistema VEGF-A no útero no dia 6 após a ovulação, mas tem influência no aumento da quantidade de glândulas uterinas. / Hormonal protocols are widely employed in Brazil in the field of animal reproduction improving the herds qualitative and quantitatively. Protocols for timulation of the dominant follicle and superovulation, which use the application of follicle-stimulating hormone (FSH) and/or equine chorionic gonadotropin (eCG) are efficient methods to increase pregnancy rates and the number of genetically superior descendents, respectively. In this context, the uterus plays an essential role in mammals reproduction and is probably a target of hormonal protocols. Many factors regulate its development, such as angiogenesis, intrinsec to feminine genital organs, implantation and placental development as well as progesterone (P4) actions. The Vascular Endothelial Growth Factor (VEGF-A) is a protein that plays a dynamic role in regulating the vascular endothelial growth, angiogenesis and vascular permeability. Among the factors that increase its expression, the ovarian steroid hormones, prostaglandins, FSH and eCG are of importance. In general, these actions are related and directed to prepare the uterine environment for a future pregnancy. Thus, the objective of this study is to analyze the expression of VEGF-A system (VEGF-A and its receptors FLT-1 and KDR) in bovine uterus after treatment with different doses of eCG and to quantify the uterine glands in the uterus of different groups. For this purpose, animals were divided into three groups: control, stimulated and superovulated, which underwent estrous synchronization and received 400 IU (stimulated group), 2000 IU (superovulated group) or no eCG (control group). On day 6 post ovulation animals were slaughtered and samples collected and then assigned to immunohistochemistry (IHC) and qPCR. For quantification of the uterine glands the morphometric method of counting was used. VEGF-A system was localized through IHC in different cellular types, as the uterine and glandular epithelia, showing no qualitative differences in relation to site of expression and intensity of the positive signal among the groups. Messenger RNA expression of VEGF-A system was not significantly different (P> 0.05) either. Regarding the counting of uterine glands, the superovulated group showed increased number compared to stimulated and control groups (P <0.05). The correlation among the mRNA of VEGF-A system, plasma progesterone concentrations and the number of uterine glands was positive when Flt-1 and the KDR (r = 0.60 p = 0.0045) were correlated and also when P4 and the uterine glands (r = 0.74 p = 0.0078) were correlated. Thus, we can infer that treatment with eCG did not increase the expression of VEGF-A system in the uterus on day 6 post ovulation, but influences the number of uterine glands.

Foram comparadas diferentes doses de eCG e hCG associadas a dispositivos intravaginais de progesterona (DIV), para avaliar o crescimento folicular e a ovulação, bem como a taxa de prenhez após a IATF e a funcionalidade do CL 12 dias após a sincronização em búfalas, durante a estação reprodutiva desfavorável. Para tanto, foram realizados cinco experimentos. Nos experimentos 1, 2 e 4, os grupos foram estabelecidos em função da ciclicidade dos animais, avaliada pelas concentrações plasmáticas de progesterona mediante colheita de sangue por punção da veia jugular no D-10 e no D0. Nos experimentos 3 e 5, os grupos foram estabelecidos em função da condição corporal e da ordem de parto. Em todos os experimentos as búfalas receberam um DIV associado a 2mg de Benzoato de Estradiol (BE) no D0. No D9 o DIV foi retirado, e procedeu-se à administração de 0,150mg de prostaglandina (PGF). No experimento 1, as búfalas do G1 (Controle, n=9) e do G2 (eCG, n=10) receberam 1500UI de hCG no D11; o G2 recebeu também 500UI de eCG no D-9; a IATF foi realizada no D12. Nesse experimento, o diâmetro máximo do folículo dominante (DMFD) foi de 12,6 ± 3,0 e 13,4 ± 1,7mm para o G1 e o G2, respectivamente (P>0,05); o diâmetro do folículo ovulatório (DFO) foi de 14,9 ± 2,9 (G1) e de 14,0 ± 1,6mm (G2; P>0,05); o intervalo entre a retirada do DIV e a ovulação (IROV) foi de 78,0 ± 12 (G1) e 68,0 ± 9,0h (G2; P>0,05); a taxa de ovulação (TO) foi de 44,4 (G1) e 70,0% (G2; P> 0,05). A área do CL (ACL) foi de 31,6 ± 19,9 (G1) e de 29,9 ± 9,7mm2 (G2; P>0,05); a concentração plasmática de P4 (P4) foi de 1,3 ± 1,4 (G1) e 2,0 ± 1,6ng/ml (G2; P>0,05); a taxa de prenhez (TP) foi de 22,2 (G1) e 60% (G2; P=0,11). No experimento 2, as búfalas do G1 (1500 UI de hCG; n=21) e do G2 (1000UI de hCG; n=21) receberam 500UI de eCG no D9; no D11, o G1 recebeu 1500UI de hCG e o G2 1000UI de hCG. Os resultados desse experimento são relatados a seguir: DMFD de 12,4 ± 2,3 (G1) e 12,2 ± 2,5mm (G2; P>0,05); DFO de 12,6 ± 2,3 (G1) e 12,5 ± 2,7mm (G2; P>0,05); IROV de 67,7 ± 18,1 (G1) e 72,8 ± 16,7h (G2; P>0,05); TO de 67,7 (G1) e 67,7% (G2; P>0,05); ACL de 24,8 ± 9,2 (G1) e 28,3 ± 17,2mm2 (G2; P>0,05); P4 de 2,3 ± 1,4 (G1) e 2,4 ± 1,3ng/ml (G2; P>0,05). No experimento 3, os animais foram tratados de forma idêntica àqueles do experimento 2, porém as búfalas do G1 (n=83) e do G2 (n=91) receberam a IATF no D12. Nesse experimento, foi obtida TP de 53 (G1) e de 53,8% (G2; P>0,05). No Experimento 4, as búfalas do G1 (n=10) receberam 500UI e as do G2 (n=11) 400UI de eCG; os dois grupos receberam 1000UI de hCG no D11. Esse experimento teve como resultados: DMFD de 13,2 ± 1,4 (G1) e 13,8 ± 1,8mm (G2; P>0,05); DFO de 13,7 ± 1,1 (G1) e 14,2 ± 1,5mm (G2; P>0,05); IROV de 71,1 ± 11,7 (G1) e 75,0 ± 5,5h (G2; P>0,05); TO de 70,0 (G1) e 72,7% (G2; P>0,05); ACL de 28,4 ± 8,6 (G1) e 31,6 ± 10,3mm2 (G2; P>0,05); P4 de 2,7 ± 1,2 (G1) e 3,3 ± 2,9ng/ml (G2; P>0,05). No experimento 5 (G1/n=54; G2/n=51) foi adotado o mesmo protocolo do experimento 4, porém as búfalas receberam a IATF no D12. Esse experimento resultou em TP de 42,6 (G1) e 43,1% (G2; P>0,05). Assim, foi possível concluir que as concentrações de 400UI de eCG e de 1000UI de hCG, associadas ao DIV, foram suficientes para induzir o crescimento folicular, a ovulação e a prenhez em búfalas durante o período reprodutivo desfavorável. / Different dosage of eCG and hCG were compared in association to progesterone intravaginal device (IVD) in female buffalo during the off breeding season with the purpose of evaluating the follicular growing and ovulation as well as the pregnancy rate after FTAI and functionality of the CL, twelve days after the synchronization. For this, 5 experiments were done. For the establishments of the groups in the experiments 1,2 and 4 blood samples were collected for the analysis of plasmatic concentrations of P4 on D -10 and D0 to verify the cyclicity. In the experiments 3 and 5 the groups were established due body condition score and number of calving. In all the experiments the buffaloes received a IVD associated with 2mg of estradiol benzoate (EB) on D0. On D9 the IVD was extracted and it was followed by the administration of 0,150mg of prostaglandin (PGF). In the exp. 1 the buffaloes of G1 (control, n=9) and G2 (eCG, n=10) received 1500IU of hCG on D11. On G2 was administrated 500IU of eCG on D9. The FTAI was done on D12. The maximun diameter of dominant follicle (MDDF) was 12.6 ± 3.0 and 13.4 ± 1.7mm to the G1 and G2, respectively (P>0,05). The diameter of the ovulatory follicle (DOF) was 14.9 ± 2.9 (G1) and 14.0 ± 1.6mm (G2; P>0,05). The interval between the device withdrawn and ovulation (DWO) was 78.0 ± 12.0 (G1) and 68.0 ± 9.0h (G2; P>0,05). The ovulation rate (OR) was 44.4 (G1) and 70.0% (G2; P>0,05). The CL area (CLA) was 31.6 ± 19.9 (G1) and 29.9 ± 9.7mm2 (G2; P>0,05). The plasmatic concentration of P4 (P4) was 1.3 ± 1.4 (G1) and 2.0 ± 1.6ng/ml (G2; P>0,05). The pregnancy rate (PR) was 22.2 (G1) and 60% (G2; P=0,11). In the exp. 2 the buffalo females of G1 (1500IU of hCG; n=21) and G2 (1000IU of hCG; n=21) received 500IU of eCG on D9. On D11, G1 received 1500IU of hCG and G2 1000IU of hCG. The MDDF was 12.4 ± 2.3 (G1) and 12.2 ± 2.5mm (G2; P>0,05), the DOF was 12.6 ± 2.3 (G1) and 12.5 ± 2.7mm (G2; P>0,05), DWO was 67.7 ± 18.1 (G1) and 72.8 ± 16.7h (G2; P>0,05), the OR was 67.7 (G1) and 67.7% (G2; P>0,05), the CLA was 24.8 ± 9.2 (G1) and 28.3 ± 17.2mm2 (G2; P>0,05) and the P4 was 2.3 ± 1.4 (G1) and 2.4 ± 1.3ng/ml (G2; P>0,05). The exp. 3 was identical to exp.2, although the animals of G1 (n=83) and G2 (n=91) received the FTAI on D12. The PR was 53.0 (G1) and 53,8% (G2; P>0,05). In exp. 4, the animals of G1 (n=10) received 500IU and G2 (n=11) 400IU of eCG. Both groups received 1000IU of hCG on D11. The MDDF was 13.2 ± 1.4 (G1) and 13.8 ± 1.8mm (G2; P>0,05), the DOF was 13.7 ± 1.1 (G1) and 14.2 ± 1.5mm (G2; P>0,05), the DWO was 71.1 ± 11.7 (G1) and 75.0 ± 5.5h (G2; P>0,05), the OR was 70.0 (G1) and 72.7% (G2; P>0,05), the CLA was 28.4 ± 8.6 (G1) and 31.6 ± 10.3mm2 (G2; P>0,05) and the P4 was 2.7 ± 1.2 (G1) and 3.3 ± 2.9ng/ml (G2; P>0,05). In exp. 5 (G1/n=54; G2/n=51) was done the same protocol in the exp. 4, although the animals received the FTAI on D12. The PR was 42.6 (G1) and 43.1% (G2; P>0,05). Dosage of 400IU of eCG and 1000IU of hCG, associated to IVD for FTAI were enough to induce follicular growing, ovulation and pregnancy in buffalo females during the off breeding season.

The electrocardiogram (ECG) is a time-varying electrical signal that interprets the electrical activity of the heart. It is obtained by a non-invasive technique known as surface electromyography (EMG), used widely in hospitals. There are many clinical contexts in which ECGs are used, such as medical diagnosis, physiological therapy and arrhythmia monitoring. In medical diagnosis, medical conditions are interpreted by examining information and features in ECGs. Physiological therapy involves the control of some aspect of the physiological effort of a patient, such as the use of a pacemaker to regulate the beating of the heart. Moreover, arrhythmia monitoring involves observing and detecting life-threatening conditions, such as myocardial infarction or heart attacks, in a patient. ECG signals are usually corrupted with various types of unwanted interference such as muscle artifacts, electrode artifacts, power line noise and respiration interference, and are distorted in such a way that it can be difficult to perform medical diagnosis, physiological therapy or arrhythmia monitoring. Consequently signal processing on ECGs is required to remove noise and interference signals for successful clinical applications. Existing signal processing techniques can remove some of the noise in an ECG signal, but are typically inadequate for extraction of the weak ECG components contaminated with background noise and for retention of various subtle features in the ECG. For example, the noise from the EMG usually overlaps the fundamental ECG cardiac components in the frequency domain, in the range of 0.01 Hz to 100 Hz. Simple filters are inadequate to remove noise which overlaps with ECG cardiac components. Sameni et al. have proposed a Bayesian filtering framework to resolve these problems, and this gives results which are clearly superior to the results obtained from application of conventional signal processing methods to ECG. However, a drawback of this Bayesian filtering framework is that it must run offline, and this of course is not desirable for clinical applications such as arrhythmia monitoring and physiological therapy, both of which re- quire online operation in near real-time. To resolve this problem, in this thesis we propose a dynamical model which permits the Bayesian filtering framework to function online. The framework with the proposed dynamical model has less than 4% loss in performance compared to the previous (offline) version of the framework. The proposed dynamical model is based on theory from fixed-lag smoothing.

The electrocardiogram (ECG) is a time-varying electrical signal that interprets the electrical activity of the heart. It is obtained by a non-invasive technique known as surface electromyography (EMG), used widely in hospitals. There are many clinical contexts in which ECGs are used, such as medical diagnosis, physiological therapy and arrhythmia monitoring. In medical diagnosis, medical conditions are interpreted by examining information and features in ECGs. Physiological therapy involves the control of some aspect of the physiological effort of a patient, such as the use of a pacemaker to regulate the beating of the heart. Moreover, arrhythmia monitoring involves observing and detecting life-threatening conditions, such as myocardial infarction or heart attacks, in a patient. ECG signals are usually corrupted with various types of unwanted interference such as muscle artifacts, electrode artifacts, power line noise and respiration interference, and are distorted in such a way that it can be difficult to perform medical diagnosis, physiological therapy or arrhythmia monitoring. Consequently signal processing on ECGs is required to remove noise and interference signals for successful clinical applications. Existing signal processing techniques can remove some of the noise in an ECG signal, but are typically inadequate for extraction of the weak ECG components contaminated with background noise and for retention of various subtle features in the ECG. For example, the noise from the EMG usually overlaps the fundamental ECG cardiac components in the frequency domain, in the range of 0.01 Hz to 100 Hz. Simple filters are inadequate to remove noise which overlaps with ECG cardiac components. Sameni et al. have proposed a Bayesian filtering framework to resolve these problems, and this gives results which are clearly superior to the results obtained from application of conventional signal processing methods to ECG. However, a drawback of this Bayesian filtering framework is that it must run offline, and this of course is not desirable for clinical applications such as arrhythmia monitoring and physiological therapy, both of which re- quire online operation in near real-time. To resolve this problem, in this thesis we propose a dynamical model which permits the Bayesian filtering framework to function online. The framework with the proposed dynamical model has less than 4% loss in performance compared to the previous (offline) version of the framework. The proposed dynamical model is based on theory from fixed-lag smoothing.

In spite of the fast development of the medical sector, cardiovascular diseases are still the major cause of death in the world. The identification of the patient who presents a risk situation that may result in death is still a challenge. The number of systems to monitor vital signs has increased in the last years, with more compact devices, and a range of parameters that help the medical team to monitor the development of the patients\' clinical situation. This work presents the modeling and development of a low-power portable ECG to be used as input of the system to monitor cardiac signals, generated in PROCADNF-1493/2007. The aim of this device is to promote a communication with a computer enabling the analysis of the ECG signal using a software for research in this area. It was used a wireless communication system using the Zigbee technology with the band of 2.4GHz and a range of approximately 70 meters without a wall. This promotes the analysis of the ECG in movement, in which the patient has the possibility to move. To support the construction of such system, this work presents an architecture review, a state-of-the-art in hardware, as well as a study and a model specification of a low-power portable ECG used to aid the research that aim the monitoring of vital signs. Finally, a qualitative analysis of the constructed hardware is provided. / Coordenação de Aperfeiçoamento de Pessoal de Nível Superior / Apesar do rápido desenvolvimento da medicina, as doenças cardiovasculares ainda são uma das principais causa de morte no mundo. A identificação do paciente que apresenta um quadro de risco que pode decorrer a morte súbita é ainda um desafio. Os sistemas de monitoramento de sinais vitais vêm crescendo nos últimos anos, com aparelhos cada vez mais compactos, e uma gama de parâmetros que auxiliam a equipe médica a acompanhar o desenvolvimento do quadro clínico de seus pacientes. Este trabalho apresenta o modelo e o desenvolvimento de um Eletrocardiógrafo portátil, de baixo consumo para ser usado como entrada do sistema de monitoração dos sinais cardíacos, gerado no PROCAD NF-1493/2007. O objetivo desse aparelho é de promover a comunicação com o computador, possibilitando a análise do sinal do eletrocardiograma através de softwares desenvolvidos para pesquisas nesta área. Trabalhou-se neste projeto com um sistema de comunicação sem o utilizando a tecnologia Zigbee com a faixa de comunicação de 2,4GHz, e um alcance de aproximadamente 70 metros sem barreira, Isso favorece a análise do sinal ECG com o paciente em locomoção. Para embasar a construção do referido sistema, o presente trabalho apresenta uma revisão de arquiteturas, estado da arte, em hardware, bem como um estudo e uma especificação do modelo de um ECG portátil de baixa potência, usado neste trabalho para auxiliar as pesquisas voltadas a monitoração de sinais vitais. Por fim, uma análise qualitativa do hardware construído é fornecida.

La surveillance de la santé foetale permet aux cliniciens d’évaluer le bien-être du foetus,de faire une détection précoce des anomalies cardiaques foetales et de fournir les traitementsappropriés. Les développements technologies actuels visent à permettre la mesurede l’électrocardiogramme (ECG) foetal de façon non-invasive afin d’extraire non seulementle rythme cardiaque mais également la forme d’onde du signal. Cet objectif est rendudifficile par le faible rapport signal sur bruit des signaux mesurés sur l’abdomen maternel.Cette mesure est donc toujours un challenge auquel se confrontent beaucoup d’études quiproposent des solutions de traitement de signal basées sur la seule modalité ECG.Le but de cette thèse est d’utiliser la modélisation des processus Gaussiens pour améliorerl’extraction des signaux cardiaques foetaux, dans une base multi-modale. L’ECG est utiliséconjointement avec le signal Phonocardiogramme (PCG) qui peut apporter une informationcomplémentaire à l’ECG. Une méthode générale pour la modélisation des signauxquasi-périodiques est présentée avec l’application au débruitage de l’ECG et à l’extractionde l’ECG du foetus. Différents aspects de la multi-modalité (synchronisation, · · · ) proposéesont étudiées afin de détecter avec plus de robustesse les battements cardiaques foetaux.La méthode considère l’application sur les signaux ECG et PCG à travers deux aspects:l’aspect du traitement du signal et l’expérimental. La modélisation des processus Gaussien,avec le signal PCG pris comme la référence, est utilisée pour extraire des modèles flexibleset des estimations non linéaires de l’information. La méthode cherche également à faciliterla mise en oeuvre pratique en utilisant un codage 1-bit des signaux de référence.Le modèle proposé est validé sur des signaux synthétiques et également sur des donnéespréliminaires réelles qui ont été enregistrées afin d’amorcer la constitution d’une base dedonnées multi-modale synchronisée. Les premiers résultats montrent que la méthode permettraà terme aux cliniciens d’étudier les battements cardiaques ainsi que la morphologiede l’ECG. Ce dernier aspect était jusqu’à présent limité à l’analyse d’enregistrements ECGinvasifs prélevés pendant l’accouchement par le biais d’électrodes posées sur le scalp dufoetus. / Fetal health must be carefully monitored during pregnancy to detect early fetal cardiac diseases, and provide appropriate treatment. Technological development allows a monitoring during pregnancy using the non-invasive fetal electrocardiogram (ECG). Noninvasive fetal ECG is a method not only to detect fetal heart rate, but also to analyze the morphology of fetal ECG, which is now limited to analysis of the invasive ECG during delivery. However, the noninvasive fetal ECG recorded from the mother's abdomen is contaminated with several noise sources among which the maternal ECG is the most prominent.In the present study, the problem of noninvasive fetal ECG extraction is tackled using multi-modality. Beside ECG signal, this approach benefits from the Phonocardiogram (PCG) signal as another signal modality, which can provide complementary information about the fetal ECG.A general method for quasi-periodic signal analysis and modeling is first described and its application to ECG denoising and fetal ECG extraction is explained. Considering the difficulties caused by the synchronization of the two modalities, the event detection in the quasi-periodic signals is also studied which can be specified to the detection of the R-peaks in the ECG signal.The method considers both clinical and signal processing aspects of the application on ECG and PCG signals. These signals are introduced and their characteristics are explained. Then, using PCG signal as the reference, the Gaussian process modeling is employed to provide the possibility of flexible models as nonlinear estimations. The method also tries to facilitate the practical implementation of the device by using the less possible number of channels and also by using only 1-bit reference signal.The method is tested on synthetic data and also on real data that is recorded to provide a synchronous multi-modal data set.Since a standard agreement for the acquisition of these modalities is not yet taken into much consideration, the factors which influence the signals in recording procedure are introduced and their difficulties and effects are investigated.The results show that the multi-modal approach is efficient in the detection of R-peaks and so in the extraction of fetal heart rate, and it also provides the results about the morphology of fetal ECG.

Made available in DSpace on 2014-12-17T14:55:54Z (GMT). No. of bitstreams: 1 DiegoRC_DISSERT.pdf: 1983615 bytes, checksum: 7f5b15ea84a6c8bb36201c679b18226f (MD5) Previous issue date: 2011-07-11 / Coordena??o de Aperfei?oamento de Pessoal de N?vel Superior / The occurrence of transients in electrocardiogram (ECG) signals indicates an electrical phenomenon outside the heart. Thus, the identification of transients has been the most-used methodology in medical analysis since the invention of the electrocardiograph (device responsible for benchmarking of electrocardiogram signals). There are few papers related to this subject, which compels the creation of an architecture to do the pre-processing of this signal in order to identify transients. This paper proposes a method based on the signal energy of the Hilbert transform of electrocardiogram, being an alternative to methods based on morphology of the signal. This information will determine the creation of frames of the MP-HA protocol responsible for transmitting the ECG signals through an IEEE 802.3 network to a computing device. That, in turn, may perform a process to automatically sort the signal, or to present it to a doctor so that he can do the sorting manually / A ocorr?ncia de transientes em sinais de eletrocardiograma (ECG) ? um indicativo de um fen?meno el?trico externo ao cora??o, sendo a identifica??o de transientes a metodologia mais utilizada na an?lise m?dica desde que o eletrocardi?grafo (dispositivo respons?vel pelo aferimento dos sinais de eletrocardiograma) foi inventado. Existem poucos trabalhos relacionados a esse assunto, o que motiva a cria??o de uma arquitetura para fazer o pr?-processamento desse sinal em busca da identifica??o de transientes. O presente trabalho prop?e um m?todo baseado na energia do sinal da transformada Hilbert de eletrocardiograma, sendo uma alternativa aos m?todos baseados em morfologia do sinal. Essa informa??o determinar? a forma??o de Quadros do protocolo PM-AH respons?vel por transmitir os sinais de ECG atrav?s de uma rede de computadores do tipo IEEE 802.3 at? um dispositivo computacional. Que por sua vez poder? realizar um processamento para fazer a classifica??o autom?tica do sinal ou apresent?-lo para um m?dico realizar essa classifica??o de forma manual

nÃo hà / A tarefa mais importante em processamento de sinais de eletrocardiograma (ECG) à a determinaÃÃo exata do complexo de QRS, em particular, a detecÃÃo dos picos de onda R atravÃs de sistemas e anÃlises computadorizadas. à essencial, especialmente, para uma medida correta da variabilidade do ritmo cardÃaco (HRV). Um grande obstÃculo a ser superado para uma detecÃÃo confiÃvel à a sensibilidade do eletrocardiograma a diversas fontes de distÃrbio, tais como, a interferÃncia à rede elÃtrica, os artefatos do movimento, flutuaÃÃo da linha base e o ruÃdo dos mÃsculos. Este trabalho utiliza as propriedades matemÃticas da transformaÃÃo de Hilbert sobre wavelets para desenvolver um novo algoritmo capaz de diferenciar as ondas R das demais (P, Q, S, T e U) e facilitar a detecÃÃo dos complexos QRS. Uma taxa de detecÃÃo do complexo QRS de 99,92% à alcanÃada para a base de dados de arritmias do MIT-BIH. A tolerÃncia a ruÃdo do mÃtodo proposto foi tambÃm testada usando os registros padrÃo da base de dados MIT-BIH Noise Stress Test. A taxa da detecÃÃo do detector ficou aproximadamente 99,35% mesmo para as relaÃÃes sinal-ruÃdo (SNR) tÃo baixo quanto 6dB. / The most important task in the ECG signal processing is the accurate determina-tion of QRS complex, in particular, accurate detection of the R wave peaks, is essential in computer-based ECG analysis especially for a correct measurement of Heart Rate Variability (HRV). A great hurdle to be overcome in reliable detection is the sensibility of the electrocar-diogram to several disturbance sources such as powering source interference, movement arti-facts, baseline wandering and muscle noise. This study uses the Hilbert Transform pairs of wavelet bases for QRS detection. From the properties of these mathematical tools it was pos-sible to develop an algorithm which is able to differentiate the R waves from the others (P, Q, S, T and U waves).The performance of the algorithm was verified using the records MIT-BIH arrhythmia and normal databases. A QRS detection rate of 99.92% was achieved against MIT-BIH arrhythmia database. The noise tolerance of the proposed method was also tested using standard records from the MIT-BIH Noise Stress Test Database. The detection rate of the detector remains about 99.35% even for signal-to-noise ratios (SNR) as low as 6dB.