982 resultados para Clinical gait analysis
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Pós-graduação em Biotecnologia Animal - FMVZ
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A serological follow-up study was carried out on 27 children (1–12 years old) with visceral and/or ocular toxocariasis, after treatment with thiabendazole. A total of 159 serum samples were collected in a period ranging from 22–116 months. Enzyme-linked immunosorbent assays (IgG, IgA, and IgE ELISA) were standardized, using excretory–secretory antigens obtained from the second-stage larvae of a Toxocara canis culture. The sensitivity found for the IgG, IgA, and IgE ELISA, as determined in visceral toxocariasis patients, was 100%, 47.8%, and 78.3%, respectively. Approximately 84% of the patients presented single or multiple parasitosis, as diagnosed by stool examination, yet such variables did not appear to affect the anti-Toxocara immune response. Titers of specific IgE antibody showed a significant decrease during the first year after treatment, followed by a decrease in the IgA titers in the second year, and in the IgG titers from the fourth year onwards. Sera from all patients presented high avidity IgG antibodies, indicating that they were in the chronic phase of the disease. Moreover, 1 year after treatment, the level of leukocytes, eosinophils, and anti-A isohemagglutinin in patients decreased significantly. The present data suggest that IgE antibodies plus eosinophil counts are helpful parameters for patient followup after chemotherapy.
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Healthcare, Human Computer Interfaces (HCI), Security and Biometry are the most promising application scenario directly involved in the Body Area Networks (BANs) evolution. Both wearable devices and sensors directly integrated in garments envision a word in which each of us is supervised by an invisible assistant monitoring our health and daily-life activities. New opportunities are enabled because improvements in sensors miniaturization and transmission efficiency of the wireless protocols, that achieved the integration of high computational power aboard independent, energy-autonomous, small form factor devices. Application’s purposes are various: (I) data collection to achieve off-line knowledge discovery; (II) user notification of his/her activities or in case a danger occurs; (III) biofeedback rehabilitation; (IV) remote alarm activation in case the subject need assistance; (V) introduction of a more natural interaction with the surrounding computerized environment; (VI) users identification by physiological or behavioral characteristics. Telemedicine and mHealth [1] are two of the leading concepts directly related to healthcare. The capability to borne unobtrusiveness objects supports users’ autonomy. A new sense of freedom is shown to the user, not only supported by a psychological help but a real safety improvement. Furthermore, medical community aims the introduction of new devices to innovate patient treatments. In particular, the extension of the ambulatory analysis in the real life scenario by proving continuous acquisition. The wide diffusion of emerging wellness portable equipment extended the usability of wearable devices also for fitness and training by monitoring user performance on the working task. The learning of the right execution techniques related to work, sport, music can be supported by an electronic trainer furnishing the adequate aid. HCIs made real the concept of Ubiquitous, Pervasive Computing and Calm Technology introduced in the 1988 by Marc Weiser and John Seeley Brown. They promotes the creation of pervasive environments, enhancing the human experience. Context aware, adaptive and proactive environments serve and help people by becoming sensitive and reactive to their presence, since electronics is ubiquitous and deployed everywhere. In this thesis we pay attention to the integration of all the aspects involved in a BAN development. Starting from the choice of sensors we design the node, configure the radio network, implement real-time data analysis and provide a feedback to the user. We present algorithms to be implemented in wearable assistant for posture and gait analysis and to provide assistance on different walking conditions, preventing falls. Our aim, expressed by the idea to contribute at the development of a non proprietary solutions, driven us to integrate commercial and standard solutions in our devices. We use sensors available on the market and avoided to design specialized sensors in ASIC technologies. We employ standard radio protocol and open source projects when it was achieved. The specific contributions of the PhD research activities are presented and discussed in the following. • We have designed and build several wireless sensor node providing both sensing and actuator capability making the focus on the flexibility, small form factor and low power consumption. The key idea was to develop a simple and general purpose architecture for rapid analysis, prototyping and deployment of BAN solutions. Two different sensing units are integrated: kinematic (3D accelerometer and 3D gyroscopes) and kinetic (foot-floor contact pressure forces). Two kind of feedbacks were implemented: audio and vibrotactile. • Since the system built is a suitable platform for testing and measuring the features and the constraints of a sensor network (radio communication, network protocols, power consumption and autonomy), we made a comparison between Bluetooth and ZigBee performance in terms of throughput and energy efficiency. Test in the field evaluate the usability in the fall detection scenario. • To prove the flexibility of the architecture designed, we have implemented a wearable system for human posture rehabilitation. The application was developed in conjunction with biomedical engineers who provided the audio-algorithms to furnish a biofeedback to the user about his/her stability. • We explored off-line gait analysis of collected data, developing an algorithm to detect foot inclination in the sagittal plane, during walk. • In collaboration with the Wearable Lab – ETH, Zurich, we developed an algorithm to monitor the user during several walking condition where the user carry a load. The remainder of the thesis is organized as follows. Chapter I gives an overview about Body Area Networks (BANs), illustrating the relevant features of this technology and the key challenges still open. It concludes with a short list of the real solutions and prototypes proposed by academic research and manufacturers. The domain of the posture and gait analysis, the methodologies, and the technologies used to provide real-time feedback on detected events, are illustrated in Chapter II. The Chapter III and IV, respectively, shown BANs developed with the purpose to detect fall and monitor the gait taking advantage by two inertial measurement unit and baropodometric insoles. Chapter V reports an audio-biofeedback system to improve balance on the information provided by the use centre of mass. A walking assistant based on the KNN classifier to detect walking alteration on load carriage, is described in Chapter VI.
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The term "Brain Imaging" identi�es a set of techniques to analyze the structure and/or functional behavior of the brain in normal and/or pathological situations. These techniques are largely used in the study of brain activity. In addition to clinical usage, analysis of brain activity is gaining popularity in others recent �fields, i.e. Brain Computer Interfaces (BCI) and the study of cognitive processes. In this context, usage of classical solutions (e.g. f MRI, PET-CT) could be unfeasible, due to their low temporal resolution, high cost and limited portability. For these reasons alternative low cost techniques are object of research, typically based on simple recording hardware and on intensive data elaboration process. Typical examples are ElectroEncephaloGraphy (EEG) and Electrical Impedance Tomography (EIT), where electric potential at the patient's scalp is recorded by high impedance electrodes. In EEG potentials are directly generated from neuronal activity, while in EIT by the injection of small currents at the scalp. To retrieve meaningful insights on brain activity from measurements, EIT and EEG relies on detailed knowledge of the underlying electrical properties of the body. This is obtained from numerical models of the electric �field distribution therein. The inhomogeneous and anisotropic electric properties of human tissues make accurate modeling and simulation very challenging, leading to a tradeo�ff between physical accuracy and technical feasibility, which currently severely limits the capabilities of these techniques. Moreover elaboration of data recorded requires usage of regularization techniques computationally intensive, which influences the application with heavy temporal constraints (such as BCI). This work focuses on the parallel implementation of a work-flow for EEG and EIT data processing. The resulting software is accelerated using multi-core GPUs, in order to provide solution in reasonable times and address requirements of real-time BCI systems, without over-simplifying the complexity and accuracy of the head models.
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Background: studi in letteratura mostrano come l'accelerometria stia diventando una pratica clinica (e non solo) molto utile sia in ambito diagnostico sia riabilitativo; molti di essi sfruttano i dati provenienti da più sensori inerziali posti su un soggetto e ne ricavano l'andamento accelerometrico dei vari segmenti corporei durante il movimento in esame. Obiettivo: caratterizzare il cammino di soggetti sani ed osservare quello di alcuni casi patologici, parametrizzando l'accelerazione Antero-Posteriore. Gli indici sono: il Range dell'accelerazione, la Simmetria sulle accelerazioni e sugli intervalli di tempo tra un appoggio al suolo ed il successivo, la Simmetria nel dominio delle frequenze. Strumenti e Metodi: 10 volontari clinicamente sani hanno svolto 5 prove a velocità Spontanea, Lenta e Lentissima con il sensore inerziale G-Walk (BTS Milano) all'altezza di L5. I dati, acquisiti mediante il software G-Studio, sono stati elaborati grazie a Matlab. Risultati: è definita una fascia di normalità per ogni velocità. Conclusioni: le differenze tra il cammino sano e quello patologico si manifestano nelle grandezze di Range ed Indice di Simmetria sulle accelerazioni. I due parametri che misurano la simmetria nel dominio dei tempi ed in quello delle frequenze sono invece sostanzialmente simili. Tale distinzione è importante in medicina, perchè permette di definire le cause di deficit motorio, il percorso chirurgico/riabilitativo da effettuare e l'entità del recupero funzionale.
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Lo scopo della tesi è verificare se esiste nell’uomo una correlazione tra le velocità preferite di corsa\cammino e i parametri antropometrici, e inoltre dare un significato ai segnali acquisiti dall’analisi del passo tramite uno strumento in fase di sviluppo. Sono stati reclutati 20 soggetti mediamente allenati e suddivisi equamente per sesso. I soggetti sono stati sottoposti ad un protocollo di test motori su treadmill diviso in due parti. I dati del primo test sono stati acquisiti manualmente mentre i dati del secondo test sono stati acquisiti da uno strumento e inviati a remoto. L’elaborazione dei risultati di entrambi i test è stata effettuata utilizzando i software Microsoft Excell e Matlab R2010a. Dai dati è emerso un trend significativo per le velocità di corsa in funzione delle altezze, ma non per quelle di cammino. Per le seconde è stata invece riscontrata una netta differenza tra soggetti maschili e femminili che ha portato a classificare i due sessi separatamente. I parametri riguardanti l’analisi del passo del secondo test sono risultati qualitativamente accettabili e confrontabili con la letteratura, ma sarà necessaria una futura validazione sperimentale per la conferma scientifica.
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L’analisi della postura e del movimento umano costituiscono un settore biomedico in forte espansione e di grande interesse dal punto di vista clinico. La valutazione delle caratteristiche della postura e del movimento, nonché delle loro variazioni rispetto ad una situazione di normalità, possono essere di enorme utilità in campo clinico per la diagnosi di particolari patologie, così come per la pianificazione ed il controllo di specifici trattamenti riabilitativi. In particolare è utile una valutazione quantitativa della postura e del movimento che può essere effettuata solo utilizzando metodologie e tecnologie ‘ad hoc’. Negli ultimi anni la diffusione di sensori MEMS e lo sviluppo di algoritmi di sensor fusion hanno portato questi dispositivi ad entrare nel mondo della Motion Capture. Queste piattaforme multi-sensore, comunemente chiamate IMU (Inertial Measurement Unit), possono rappresentare l’elemento base di una rete sensoriale per il monitoraggio del movimento umano.
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Cerebral vasculitis is a rare disease with a potentially harmful or even fatal outcome that often affects young adults. Primary autoimmune mediated disease can be distinguished from secondary vasculitis associated to infectious disorders, connective tissue diseases, malignancies or toxic drug effects. Pathomechanisms lead to destruction of the vessel wall and consecutive hemorrhagic or ischemic brain lesions. Beyond these mechanisms direct autoimmune mediated neurotoxicity is postulated. Clinical presentation is highly variable with potentially fluctuating signs and symptoms. Besides multifocal deficits from disseminated CNS involvement, diffuse encephalopathy or psychosis may result from diffuse CNS affection. For systemic vasculitis with CNS involvement, affection of joints, skin and organs may facilitate the diagnostic evaluation. CNS affection in systemic diseases is highly variable and may even precede systemic manifestation. The diagnostic work-up includes clinical evaluation, analysis of autoantibodies, MRI, digital subtraction angiography and biopsy of the affected tissue in doubtful cases. Standard therapy are corticosteroids often combined with immunosuppressants such as azathioprine, methotrexate or mycophenolate mofetil in chronic disease or cyclophosphamid in acute disorder. When therapy can be initiated timely, prognosis of cerebral vasculitis is usually favourable.
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BACKGROUND Recurrent urticaria (RU) is a common skin disease of horses, but little is known about its pathogenesis. HYPOTHESIS/OBJECTIVE The aim of this study was to characterize the inflammatory cell infiltrate and cytokine expression pattern in the skin of horses with RU. ANIMALS Biopsies of lesional and nonlesional skin of horses with RU (n = 8) and of skin from healthy control horses (n = 8) were evaluated. METHODS The inflammatory cell infiltrate was analysed by routine histology. Immunohistochemistry was used to identify T cells (CD3), B ells (CD79), macrophages (MAC387) and mast cells (tryptase). Expression of T-helper 2 cytokines (interleukins IL-4, IL-5 and IL-13), a T-helper 1 cytokine (interferon-γ), IL-4 receptor α and thymic stromal lymphopoietin was assessed by quantitative RT-PCR. Results - In subepidermal lesional skin of RU-affected horses, increased numbers of eosinophils (P ≤ 0.01), CD79-positive (P ≤ 0.01), MAC387-positive (P ≤ 0.01) and tryptase-positive cells (P ≤ 0.05) were found compared with healthy horses. Subepidermal lesional skin of RU-affected horses contained more eosinophils (P ≤ 0.05) and tryptase-positive cells (P ≤ 0.05) compared with nonlesional skin. There was no significant difference in infiltrating cells between nonlesional skin and skin of healthy horses. Expression of IL-4 (P ≤ 0.01), IL-13 (P ≤ 0.05), thymic stromal lymphopoietin (P ≤ 0.05) and IL-4 receptor α (P ≤ 0.05) was increased in lesional skin of RU-affected horses compared with control horses. Expression of IL-4 was higher (P ≤ 0.05) in lesional compared with nonlesional RU skin. CONCLUSIONS AND CLINICAL IMPORTANCE Analysis of cytokine expression and inflammatory infiltrate suggests that T-helper 2 cytokines, eosinophils, mast cells and presumptive macrophages play a role in the pathogenesis of equine RU.
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Introduction . Compared to most equine horse breeds which are able to walk, trot and canter /gallop, the gait repertoire of the Icelandic horses additionally includes the lateral gait tölt and frequently also the pace. With respect to the tölt gait, special shoeing, saddling and riding techniques have been developed for Icelandic horses in order to enhance its expressiveness and regularity. Toes are left unnaturally long and heavy shoes and paddings, as well as weighted boots are used to enforce the individual gait predisposition. For the same reason, the rider is placed more caudally to the horse's centre of mass as compared to other riding techniques. The biomechanical impact of these methods on the health of the locomotor system has so far never been subject of systematic research. Objectives . The aims of the presented study are (1) to describe the kinetic and kinematic characteristics of the tölt performed on a treadmill, (2) to understand the mechanical consequences of shoeing manipulation (long hooves, weighted boots) on the loading and protraction movement of the limbs, as well as (3) to study the pressure distribution and effects on the gait pattern of 3 different saddle types used for riding Icelandic horses. Materials and methods . Gait analysis was carried out in 13 Icelandic horses at walk and at slow and medium tölting and trotting speeds on a high-speed treadmill instrumented for measuring vertical ground reaction forces as well as temporal and spatial gait variables. Kinematic data of horse, rider and saddle were measured simultaneously. Gait analysis was first carried out with high, long hooves (SH) without and in combination with weighted boots (ad aim (2)). Afterwards, horses were re-shod according to current horseshoeing standards (SN) and gait analysis was repeated (ad aims (1) and (2)). In a second trial, horses were additionally equipped with a pressure sensitive saddle mat and were ridden with a dressage-like saddle (SDres), an Icelandic saddle (Slcel) and a saddle cushion (SCush) in the standard saddle position (ad aim 3). Results and conclusions . Compared to trot at the same speed, tölting horses had a higher stride rate and lower stride impulses. At the tölt loading of the forelimbs was increased in form of higher peak vertical forces (Fzpeak) due to shorter relative stance durations (StDrel). Conversely, in the hindlimbs, longer StDrel resulted in lower Fzpeak. Despite the higher head-neck position at tölt, there was no measurable shift in weight to the hindlimbs. Footfall rhythm was in most horses laterally coupled at the tölt and frequently had a slight fourbeat and a very short suspension phase at trot; underlining the fact that performance of correct gaits in Icelandic horses needs special training. Gait performance as it is currently judged in competition could be improved using a shoeing with SH, resulting in a 21 ± 5 mm longer dorsal hoof wall, but also a weight gain of 273 ± 50 g at the distal limb due to heavier shoeing material. Compared to SN, SH led to a lower stride rate, a longer stride length and a higher, but not wider, forelimb protraction arc, which were also positively associated with speed. At the tölt, the footfall rhythm showed less tendency to lateral couplets and at the trot, the suspension phase was longer. However, on the long term, SH may have negative implications for the health of the palmar structures of the distal foot by increased limb impulses, higher torques at breakover (up to 20%); as well as peak vertical forces at faster speeds. Compared to the shoeing style, the saddle type had less influence on limb forces or movements. The slight weight shift to the rear with SCush and Slcel may be explained by the more caudal position of the rider relative to the horse's back. With SCush, pressure was highest under the cranial part of the saddle, whereas the saddles with trees had more pressure under the caudal area.
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BACKGROUND Staphylococcus aureus has long been recognized as a major pathogen. Methicillin-resistant strains of S. aureus (MRSA) and methicillin-resistant strains of S. epidermidis (MRSE) are among the most prevalent multiresistant pathogens worldwide, frequently causing nosocomial and community-acquired infections. METHODS In the present pilot study, we tested a polymerase chain reaction (PCR) method to quickly differentiate Staphylococci and identify the mecA gene in a clinical setting. RESULTS Compared to the conventional microbiology testing the real-time PCR assay had a higher detection rate for both S. aureus and coagulase-negative Staphylococci (CoNS; 55 vs. 32 for S. aureus and 63 vs. 24 for CoNS). Hands-on time preparing DNA, carrying out the PCR, and evaluating results was less than 5 h. CONCLUSIONS The assay is largely automated, easy to adapt, and has been shown to be rapid and reliable. Fast detection and differentiation of S. aureus, CoNS, and the mecA gene by means of this real-time PCR protocol may help expedite therapeutic decision-making and enable earlier adequate antibiotic treatment.
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Trabalho Final do Curso de Mestrado Integrado em Medicina, Faculdade de Medicina, Universidade de Lisboa, 2014
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Vitamin D (calcitriol) is a nuclear transcription regulator acting via a nuclear hormone receptor (VDR). In addition to its role in the regulation of calcium and phosphate horneostasis and in bone formation, Vitamin D is also thought to be involved in brain function. The aim of this study was to behaviourally phenotype VDR knockout mice. We characterized the behaviour of VDR null mutant mice and wildtype littermate controls by subjecting them to a range of tests including a primary behavioural screen (using the SHIRPA protocol), rotarod, gait analysis, Y-maze, marble burying test, bedding test, holeboard test, elevated plus maze, open field test and prepulse inhibition of the acoustic startle response. There were no effects of genotype on most of the scores from the SHIRPA protocol except that VDR -/- mice had alopecia, were shorter and weighed less than VDR +/+ mice. VDR -/- mice had a shorter gait as well as impairments on the rotarod, in the bedding test and impaired habituation in both the open field and on the acoustic startle response. The VDR -/- mice had normal acoustic startle responses but had impaired PPI at long (256 ms) but not short (64 ms) prepulse to pulse intervals. The VDR -/- mice were less active in the open field and buried fewer marbles in the marble burying test. However, there were no differences in the time spent on the open arms of the elevated plus maze or in working memory as assessed by repeat arm entries on the Y-maze. Therefore, it appears that VDR -/- mice have muscular and motor impairments that significantly affects locomotor behaviour but seemingly no impairments in cognition as indicated by exploration, working memory or anxiety. (C) 2004 Elsevier B.V. All rights reserved.
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Background. Antibiotics are over-prescribed for respiratory tract infections in Australia. Objectives. The aim of this study was to describe the clinical predictors of GPs' prescribing of antibiotics. Methods. We used Clinical Judgment Analysis to study the responses of GPs to hypothetical paper-based vignettes of a 20-year-old with a respiratory tract infection. The nature of four symptoms and signs (colour of nasal mucous discharge; soreness of the throat; presence of fever; and whether any cough was productive of sputum) was varied and their effect on prescribing measured using logistic regression. Results. Twenty GPs participated. The nature of each symptom and sign significantly predicted prescribing of an antibiotic. Cough productive of yellow sputum; presence of sore throat; fever; and coloured nasal mucus increased the probability of an antibiotic being prescribed. Conclusions. GPs are influenced by clinical signs and symptoms to use antibiotics for respiratory infections for which there is poor evidence of efficacy from the literature.