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Lima, Marcelo Araújo. "Sistema remoto para análise automática de ECGs nos padrões HL7 AECG e DICOM-ECG". reponame:Repositório Institucional da UFC, 2017. http://www.repositorio.ufc.br/handle/riufc/26078.
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LIMA, M. A. Sistema remoto para análise automática de ECGs nos padrões HL7 AECG e DICOM-ECG. 2017. 78 f. Dissertação (Mestrado em Engenharia de Teleinformática)–Centro de Tecnologia, Universidade Federal do Ceará, Fortaleza, 2017.Submitted by Marlene Sousa (mmarlene@ufc.br) on 2017-09-25T17:22:14Z No. of bitstreams: 1 2017_dis_malima.pdf: 1997199 bytes, checksum: 6819aa354bd4c431de68f3bd5aca3b39 (MD5)
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According to the World Health Organization, about 17.5 million people die each year from cardiovascular disease. The early diagnosis and treatment is crucial to reduce this high number of deaths from cardiovascular diseases. Due to the importance of the electrocardiogram (ECG) analysis, which represents one of the main tests for the detection of these cardiovascular diseases, in the present dissertation is proposed a remote system for automatic ECGs analysis based on webservices that can substantially assist the doctor, using the extracted ECGs information, with the purpose to generate reports. Hence, a Middleware is proposed to abstract the complexities and to facilitate the construction of tools that allow the ECGs automatic analysis. The proposed architecture consists on a server which provides the computational algorithms to identify the main waves present in ECGs such as QRS complex, P and T waves, and support the open standards of HL7 aECG and DICOM-ECG. In order to validate the proposed Middleware and contribute to the medical community, especially the Walter Cantídio University Hospital, a Web application for remotely accessible ECG report was developed. The proposed solution was tested using the database MITDB to simulate the patients of the system and produce the results presented in this dissertation. The proposed solution met the established requirements which makes the proposed solution viable financially and technically.
De acordo com a Organização Mundial da Saúde (OMS), cerca de 17,5 milhões de pessoas morrem todos os anos vítimas de doenças cardiovasculares. O diagnóstico e tratamento precoce às pessoas com doenças cardiovasculares é fundamental para reduzir este número elevado de óbitos. Devido à importância da análise de Eletrocardiograma (ECG), que representa um dos principais exames para detecção destas doenças cardiovasculares, na presente dissertação é proposto um sistema remoto para análise automática de Eletrocardiograma (ECG)s baseado em Web services que pode auxiliar substancialmente o médico especialista, a partir de informações extraídas de ECGs, na emissão de laudos. Neste sentido, propõe-se um Middleware para abstrair as complexidades e facilitar a construção de ferramentas que permitam a análise automática de ECGs. Na arquitetura proposta, um servidor disponibiliza os algoritmos computacionais para identificação das principais ondas presentes nos ECGs tais como complexo QRS, ondas P e T, e suporte aos padrões abertos de exames HL7 aECG e DICOM-ECG. Para validar o Middleware proposto e contribuir com a comunidade médica, em especial do Hospital Universitário Walter Cantídio, desenvolve-se uma aplicação Web para geração de laudos de ECGs acessível remotamente. Testes foram realizados com a solução proposta, utilizando-se a base de dados MIT-BIH Arrhythmia Database (MITDB) para simular os pacientes do sistema e produzir os resultados apresentados nesta dissertação. A solução proposta atendeu aos requisitos estabelecidos e representa uma solução viável, financeiramente e tecnicamente.
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Islam, Mohd Siblee. "A Decision Support System for StressDiagnosis using ECG Sensor". Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-11769.
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Diagnosis of stress is important because it can cause many diseases e.g., heart disease, headache, migraine, sleep problems, irritability etc. Diagnosis of stress in patients often involves acquisition of biological signals for example heart rate, finger temperature, electrocardiogram (ECG), electromyography signal (EMG), skin conductance signal (SC) etc. followed up by a careful analysis of the acquired signals. The accuracy is totally dependent on the experience of an expert. Again the number of such experts is also very limited. Heart rate is considered as an important parameter in determining stress. It reflects status of the autonomic nervous system (ANS) and thus is very effective in monitoring any imbalance in patient’s stress level. Therefore, a computer-aided system is useful to determine stress level based on various features that can be extracted from a patient’s heart rate signals. Stress diagnosis using biomedical signals is difficult and since the biomedical signals are too complex to generate any rule an experienced person or expert is needed to determine stress levels. Also, it is not feasible to use all the features that are available or possible to extract from the signal. So, relevant features should be chosen from the extracted features that are capable to diagnose stress. Again, ECG signal is frequently contaminated by outliers produced by the loose conduction of the electrode due to sneezing, itching etcetera that hampers the value of the features. A Case-Based Reasoning (CBR) System is helpful when it is really hard to formulate rule and the knowledge on the domain is also weak. A CBR system is developed to evaluate how closely it can diagnose stress levels compare to an expert. A study is done to find out mostly used features to reduce the number of features used in the system and in case library. A software prototype is developed that can collect ECG signal from a patient through ECG sensor and calculate Inter Beat Interval (IBI) signal and features from it. Instead of doing manual visual inspection a new way to remove outliers from the IBI signal is also proposed and implemented here. The case base has been initiated with 22 reference cases classified by an expert. A performance analysis has been done and the result considering how close the system can perform compare to the expert is presented. On the basis of the evaluations an accuracy of 86% is obtained compare to an expert. However, the correctly classified case for stressed group (Sensitivity) was 57% and it is quite important to increase as it is related to the safety issue of health. The reasons of relatively lower sensitivity and possible ways to improve it are also investigated and explained.
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Tang, Man, i 鄧敏. "A study of the nonlinear dynamics nature of ECG signals using Chaos theory". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2005. http://hub.hku.hk/bib/B34624843.
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Tang, Yu. "Feature Extraction for the Cardiovascular Disease Diagnosis". Thesis, Mittuniversitetet, Avdelningen för informationssystem och -teknologi, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-33742.
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Cardiovascular disease is a serious life-threatening disease. It can occur suddenly and progresses rapidly. Finding the right disease features in the early stage is important to decrease the number of deaths and to make sure that the patient can fully recover. Though there are several methods of examination, describing heart activities in signal form is the most cost-effective way. In this case, ECG is the best choice because it can record heart activity in signal form and it is safer, faster and more convenient than other methods of examination. However, there are still problems involved in the ECG. For example, not all the ECG features are clear and easily understood. In addition, the frequency features are not present in the traditional ECG. To solve these problems, the project uses the optimized CWT algorithm to transform data from the time domain into the time-frequency domain. The result is evaluated by three data mining algorithms with different mechanisms. The evaluation proves that the features in the ECG are successfully extracted and important diagnostic information in the ECG is preserved. A user interface is designed increasing efficiency, which facilitates the implementation.
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Koskinen, M. (Miika). "Automatic assessment of functional suppression of the central nervous system due to propofol anesthetic infusion:from EEG phenomena to a quantitative index". Doctoral thesis, University of Oulu, 2006. http://urn.fi/urn:isbn:9514281756.
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Abstract
The rationale for automatically monitoring anesthetic drug effects on the central nervous system (CNS) is to improve possibilities to gain objective information on a patient's state and to adjust the medication individually. Although monitors have shown their usefulness in practice, there are still a number of unclear issues, especially with respect to the scientific foundations and validity of CNS monitoring techniques, and in monitoring the light hypnotic levels. Current monitors are, for example, often based on heuristics and ad hoc solutions. However, a quantitative index for anesthetic drug effect should have a sound relationship with observations and with the selected control variable. The research objectives are: (1) to explore propofol anesthetic related neurophysiological phenomena that can be applied in the automatic assessment of CNS suppression; (2) to develop a valid control variable for this purpose; (3) by means of digital signal processing and mathematical modeling, to design and to evaluate the performance of an index that correlates with the control variable.
This dissertation introduces potentially useful neurophysiological phenomena, such as changes in phase synchronization between different EEG channels due to anesthesia, and painful stimulus evoked responses during the burst suppression. Furthermore, it refines the progression of the time-frequency patterns during the induction of anesthesia and shows their relation to the instant of unresponsiveness. The presented spontaneous and evoked EEG phenomena provide complementary information about the CNS functional suppression.
Most significantly, the dissertation proposes a continuous and observation based control variable (r scale) and the means to predict its values by using EEG data. The definition of the scale provides a basis for anticipating the instant of the loss of consciousness. Additionally, the phase synchronization index as an indicator of drug effect is introduced. The approximate entropy descriptor performance is evaluated and optimised with a non-stationary signal recorded during the induction of anesthesia.
The results open up opportunities to improve the preciseness, scientific validity and the interpretation of information on the anesthetic effects on CNS, and therefore, to increase the reliability of the anesthesia monitoring. Further work is needed to extend and verify the results in deep anesthesia.
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Sposto, Maria Regina. "Perfil das condições sistêmicas e bucais de usuários de próteses removíveis atendidos em um Serviço de Medicina Bucal /". Araraquara : [s.n.], 1996. http://hdl.handle.net/11449/116097.
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Resumo: A presença de doenças sistêmicas, uso de medicamentos, e uso de próteses removíveis, entre outros fatores, podem alterar o equilíbrio fisiológico da cavidade bucal favorecendo o estabelecimento de diversas alterações e/ou patologias bucais. Assim, o estudo das prevalências destes fatores, nos pacientes odontológicos, tornam-se importantes pois devem ser considerados para elaborar o diagnóstico e definir a conduta terapêutica. Com o objetivo de delinear um perfil, avaliamos os prontuários de 500 usuários de próteses removíveis atendidos no Serviço de Medicina Bucal da Faculdade de Odontologia de Araraquara - UNESP. Analisamos os dados referentes a: características da população e das próteses removíveis, prevalência das doenças sistêmicas, uso de medicamentos e diagnóstico final das patologias ou alterações bucais. Os resultados obtidos nos permitem concluir que a maioria (74%) dos usuários de próteses removíveis eram mulheres brancas; metade da população pertencia a faixa etária de 41 a 60 anos e, quase a metade (49,2%) usava a combinação de prótese total superior e inferior. As doenças sistêmicas foram relatadas por 57,2% da amostra e a prevalência maior foi de doenças do sistema cardiovascular (25,4%). A maioria (60,4%) da população relatou uso de medicamentos e, dentre os mais freqüentes, a prevalência maior foram dos cardiovasculares (26,4%). A prevalência de patologias ou alterações bucais foi de 99,6%, sendo as relacionadas ao uso de próteses removíveis as mais freqüentes. Dentre estas, a candidose crônica atrófica ocorreu em 81,8% da população estudada e a hiperplasia fibrosa em 29,2%.Abstract: Systemic diseases, the use of drugs and removable prosthetic appliance wearing, among others conditions, can influence the oral health, promoting the development of various oral mucosal disorders. Thus, the study of those informations on the dental patients becomes important and must be considered to estabilish the diagnosis and therapeutic management. The aim of this study was to provide descriptive epidemiologic information. For that task we have collected and analysed data from 500 files of patients, which are wearers of removable prosthetic appliances who attended at the Oral Medicine Service of Araraquara Dental School - UNESP. The results provide information about characteristics of the population and their removable appliances, prevalences of systemic diseases, use of drugs and diagnosis of oral diseases. The results allowed us to draw a profile of the population, concluding that the majority (74%) of the removable appliances wearers were white women, half of the sample with age between 41 to 60 years and almost half using an association of complete maxillary denture and complete mandibular denture. The health questionnaire indicated 57.2% of the population with systemic diseases, and the highest prevalence was of cardiovascular diseases (25.4%).The majority of the sample (60.4%) reported the use of drugs and the cardiovascular drugs were the more frequent (26.4%). The prevalence of oral diseases was 99.6%, the ones which were related with removable prosthetic were the most frequent. Among these, chronic atrophic candidosis was diagnosed in 81.8% of the sample and fibrous hyperplasia in 29.2%.
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Urban, Rodrigo Custódio. "Fragilidade ambiental, qualidades do solo, da água e ocupação urbana na microbacia do córrego Lavapés - Sorocaba/SP /". Bauru : [s.n.], 2011. http://hdl.handle.net/11449/98308.
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Orientador: Alexandre Marco da SilvaBanca: Silvio Frosini de Barros Ferraz
Banca: Antonio Fernando Monteiro Camargo
Resumo: Este estudo teve como objetivo efetuar uma análise comparativa entre variáveis físicas e químicas de qualidade de água e solo e da fragilidade ambiental dda microbacia do córrego Lavapés - Sorocaba/SP. A área de estudo possui alguns fragmentos florestais remanescentes, e apresenta aumento de área urbanizada. Foram quantificadas quinze variáveis descritoras da situação física, química e hidráulica do solo, in situ ou em laboratório. A amostragem de água foi realizada, mensalmente, durante doze meses, em dois pontos previamente selecionados. Foram quantificados dezesseis variáveis físicas e químicas de qualidade de água. Um mapa de fragilidade ambiental a processos erosivos foi elaborado a partir de método de superposição de mapas. A área de estudo apresentou Fragilidade Ambiental muito baixa (73,33% de sua área), indicando baixa propensão a eventos erosivos severos. A análise das variáveis de qualidade de solo apresentou melhores condições ambientais nas áreas de vegetação remanescente. As variávies condutividade elétrica, porosidade, e frações de carbono e nitrogênio do solo se mostraram superiores em áreas de vegetação. A comparação dos solos expostos foi superior às dos outros usos. O uso da terra que apresentou maior heterogeneidade de dados de qualidade de solo foi a "área urbana", devido a grande quantidade de materiais exógenos econtrados nos solos amostrados. As amostras de água apontaram ligeira queda na qualidade do córrego Lavapés, entre o ponto amostral próximo a nascente e o ponto próximo à foz. Não verificou-se grande influência sazonal no comportamento iônico dos cursos d'água. A exportação de nutrientes pelo córrego Lavapés apresentou baixa influência para o rio Sorocaba. O córrego Lavapés encontra-se em estado mesotrófico. A análise integrada de resíduos de superfícies de tendências das variáveis magnésio... (Resumo completo, clicar acesso eletrônico abaixo)
Abstract: A comparative analysis among the physical and chemical parameters of water and soil quality and of Environmental Fragility of the watershed of stream Lavapés - Sorocaba/SP was carried out. The study area has remnant forest patches and urban increasing. We quantified fifteen physical, chemical and hydraulic soil parameters. Monthly and during on year we collected water samples an in situ complementary information, in order to check the local water quality. Sixteen physical and chemical parameters of water quality. Sixteen physical and chemical parameters of water quality we analyzed. An Environmental Fragility map was elaborated through from a method of map overlaying. The study area presented very low Environmental Fragility (73,3% of its area), indicating low propensity to servere erosion processes. Soil presented better environmental conditions in areas covered with forest vegetation. There was not verified great change in the textures of the soils from different land covers. The parameters electric conductivity, porosity, carbon and nitrogen were higher in areas of vegetation. The compaction was higher in exposed soils than in the other land covers. The "urban" was presented higher data heterogeneity of soil quality, because of the great quantity of exogen materials searched with the sample of soil. The water samples pointed a worsening in the quality of the stream Lavapés, between the sampling point next to the head of the river and the sampling point next to the mouth of the river. There was not verified great seasonal influence in the ionic behaviour of the watercourse. The output rate of nutrients by the stream Lavapés presented low influence to the river Sorocaba. The stream Lavapés was in mesotrophic state. The integrated analysis of the residuals of tendency surfaces of the parameters magnesium, phosphorus and calcium, with the study area hydrography indicated that the soil... (Complete abstract click electronic access below)
Mestre
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Ghosh, Dastidar Samanwoy. "Models of EEG data mining and classification in temporal lobe epilepsy: wavelet-chaos-neural network methodology and spiking neural networks". Columbus, Ohio : Ohio State University, 2007. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1180459585.
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Doede, Aubrey L. "Electromyographic Analysis of Trunk Muscle Activation During a Throwing Pattern Following Rotator Cuff Mobilization". Scholarship @ Claremont, 2010. http://scholarship.claremont.edu/cmc_theses/90.
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Correct muscular activation of the body segments during an overhand throw is achieved when movement originates in the larger and more proximal legs and trunk and moves sequentially to the smaller, distal segments of the shoulder and arm. This sequence permits angular velocity to transfer progressively through the throw as part of an open kinetic chain. The athlete can summate angular velocity and segmental forces only if he is able to create a separation between the body segments during the movement pattern, and this separation is thus essential to effective segmental sequencing for activation of the trunk muscles to occur separately from distal segment motion. Limited mobility of the shoulder and scapula during the kinematic sequence will limit the ability of that segment to receive and contribute to the angular velocity of its proximal neighbors and to apply its own muscle torque to the throwing implement. This may result in compensatory motion of the proximal muscle groups to meet the demands placed on the body. To establish a link between compensatory activation of the trunk muscles and mobility in the rotator cuff and to apply this relationship to the pattern of the overhand throw, activity in the latissimus dorsi and external oblique/quadratus lumborum muscles was measured using surface electromyography in 40 college-age participants during arm flexion and lateral shoulder rotation. Muscle activation was recorded both before and after mobilization of relevant throwing muscles through targeted functional exercise. Results showed no significant change but suggested a general decrease in the level of peak muscle activation after participants engaged shoulder exercises. This is indicative of a downward trend in compensatory trunk activation during the initiation of shoulder motion. An increase in overall trunk muscle activity was also observed after exercise, which may imply a simultaneous engagement of the proximal throwing muscles in response to shoulder motion.
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Jain, Sanjeev Kumar. "Energy efficient ecg signal processor for wearable ecg diagnostic system". Thesis, 2016. http://localhost:8080/xmlui/handle/12345678/7213.
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Lin, Shiuh-Jong, i 林旭中. "ECG (ElectroCardioGram) arrhythmia diagnostic system". Thesis, 1994. http://ndltd.ncl.edu.tw/handle/32383028618279334831.
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Lin, Bo-Xuan, i 林伯軒. "Pre-hospital E-diagnosis via an Ambulatory ECG Information System Transformed from a Traditional ECG Instrument". Thesis, 2010. http://ndltd.ncl.edu.tw/handle/31622055969974530158.
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碩士元智大學
資訊工程學系
98
This study demonstrates an e-technology to transform a 12-lead ECG instrument, traditionally used in the hospital, into a portable 12-lead ECG instrument in an ambulance. By transmitting ECG reports from an ambulance to the hospital and to the mobile phones of off-site cardiologists, this portable ECG performs pre-hospital ECG diagnoses and ECG tele-consultation. Installed on the mobile phone of an emergency medical technician who works in an ambulance, the ECG listener first receives Extensible Markup Language (XML) based ECG files generated by Philips XML-ECG instrument via wireless local area network. Next, the ECG transmitter, installed on the same phone, sends received ECG files to the ECG processing server in the hospital via mobile telephony network. After the server reduces ECG noises and artifacts, the files are converted into Digital Imaging Communications in Medicine (DICOM) based ECG reports and stored in Picture Archiving and Communication System (PACS). These reports are delivered to the phones of off-site cardiologists. Clinical evaluations indicate the following findings. First, the automatic 12-lead ECG acquisition and transmission via mobile phones can simplify ambulatory 12-lead ECG measurement and transmission. Second, on-site Emergency Department physicians and off-site cardiologists can discuss ECG reports via PACS on their computers or mobile phones to prepare for the most appropriate treatment while the patient is on the way to the hospital. In conclusion, this e-technology enhances the functions of a 12-lead ECG instrument and facilitates effective pre-hospital 12-lead ECG diagnoses.
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Chang, Chung Yu, i 張仲瑜. "A real-time computer-aided diagnosis system for ECG beat recognition". Thesis, 2011. http://ndltd.ncl.edu.tw/handle/69366980425965769890.
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碩士國立中正大學
電機工程研究所
99
In this thesis, we proposed an assistive diagnosis system for ECG beat recognition. The system aimed to establish a fundamental recognition system for beats, hoping to provide assistive diagnosis for the physician. Conventional methods for arrhythmia detection were usually based on standard resting ECG. However, it could only provide a snapshot of the patient’s cardiovalscular activity in time and was difficult to make reliable diagnosis for transient arrhythmias. Therefore, one of the possible solutions for the problem is to perform real-time diagnosis. The system consisted of five parts, including data acquisition, QRS detection, feature extraction, classification, and result display. To acquire ECG signals, we employed on NI DAQ card, which converted analog signal to digital signal for further data processing. QRS detection was a crucial part of the entire system, because the result of feature extraction was strongly affected by the locations of the QRS complexes . A sequence of processing steps include band-pass filters , which rejected 60Hz interference and baseline wander, fiducial mark localization, iterative thresholds computation, and adjustment of real QRS complexes . Using the MIT-BIH database for verification, the algorithm achieved the R-peak detection rate of 96.64% for offline analysis and 94.07% for a simplified version which is designed for the requirement of short detection time. Despite a slight decrease in the detection rate, the recognition time for the real-time algorithm was only 0.00038sec per beat, which met the requirement of the real-time system. The discrete wavelet transform was then employed to decompose the ECG signal in order to appropriately select subband components to increase noise rejection and improve beat discrimination. Due to its extremely short processing time in classifier testing, the feed-forward back-propagation neural network was exploited to perform beat classification. To elevate the sensitivity of arrhythmias which were of small training size, different profiles designated as 1st, 2nd, and 3rd profile were considered when training the weight of the FFBNN. When evaluating the proposed method, we designed three trials to compare the influence of different sample selection strategies. Finally, we developed two platforms, namely offline platform and real-time GUI platform, to demonstrate the feasibility of the proposed system. Prior to the real-time GUI platform, offline platform was utilized to develop the initial prototype and adjust the weight of the neural network. This system achieved a recognition rate of 98.63% with the offline platform, and 98.34% for the real-time analysis. The outstanding performance demonstrates the effectiveness and efficiency for the system.
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Dendamrongvit, Thidarat. "An ontology-based system for representation and diagnosis of electrocardiogram (ECG) data". Thesis, 2006. http://hdl.handle.net/1957/28946.
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Electrocardiogram (ECG) data are stored and analyzed in different formats,
devices, and computer platforms. There is a need to have an independent platform
to support ECG processes among different resources for the purposes of improving
the quality of health care and proliferating the results from research. Currently,
ECG devices are proprietary. Devices from different manufacturers cannot
communicate with each other. It is crucial to have an open standard to manage
ECG data for representation and diagnosis.
This research explores methods for representation and diagnosis of ECG by
developing an Ontology for shared ECG data based on the Health Level Seven
(HL7) standard. The developed Ontology bridges the conceptual gap by
integrating ECG waveform data, HL7 standard data descriptions, and cardiac
diagnosis rules. The Ontology is encoded in Extensible Markup Language (XML)
providing human and machine readable format. Thus, the interoperability issue is
resolved and ECG data can be shared among different ECG devices and systems.
This developed Ontology also provides a mechanism for diagnostic decision
support through an automated ECG diagnosis system for a medical technician or
physician in the diagnosis of cardiac disease. An experiment was conducted to
validate the interoperability of the Ontology, and also to assess the accuracy of the
diagnosis model provided through the Ontology. Results showed 100%
interoperability from ECG data provided through eight different databases, and a
93% accuracy in diagnosis of normal and abnormal cardiac conditions.Graduation date: 2006
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Zhou, Shijie. "A NOVEL TIME-DOMAIN DIAGNOSTIC METHOD FOR ECG SIGNAL SYSTEM BASED ON A SMART-PHONE". 2012. http://hdl.handle.net/10222/15197.
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This thesis presents a novel method on a Smart-phone for ECG tele-monitoring signal
analysis. The proposed system focuses on QRS complex detection, beat classi?cation
and arrhythmias classi?cation. In the regular process, the QRS complex is detected
by the Pan-Tompkins algorithm and classi?ed as normal sinus rhythms (SRs) or pre-
mature ventricular contractions (PVCs) by existing classi?cation methods. Subse-
quently, the Lempel-Ziv (LZ) complexity measure, including the K-Means clustering
algorithm and the LZ complexity analysis, is utilized to further separate the high
risk arrhythmias, ventricular tachycardia (VT) or ventricular ?brillation (VF). In
this procedure of the high risk arrhythmias, three consecutive PVC beats in a row
are considered to be an indication of the beginning of VT rhythms, at which point
the following data points will be saved until up to a certain window length long are
reached. The window length long ECG signal will be further classi?ed as VT or VF
by several new decision rules with heart rate detection. Furthermore, the proposed
system successfully implemented on a Smart-phone adopts the time frames to indicate
the analysis report for improving the reliability and error detection of arrhythmias.
The new analysis method presents fairly good performance results when applied to
testing records chosen from the MIT-BIH database.
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Wu, Chen-Wei, i 吳振維. "The Study of a Handheld ECG Measurement System Applied for Medical Care and Cardiovascular Disease Diagnosis". Thesis, 2009. http://ndltd.ncl.edu.tw/handle/b6t575.
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碩士國立臺北科技大學
機電整合研究所
97
This research combines medical, electronic and information technology to develop a convenient and fast hand-held ECG (electrocardiogram) measurement system and medical care management system as a medical care in order to achieve measurement of ECG (electrocardiogram) signals with the purposes of cardiovascular disease diagnosis . This is a non-invasive physiological signal measuring system, therefore it can be widely to use. Based on the frequency of heart rate, heart rate, electrocardiogram, electric physiological changes of heart to quantify a cardiac’s physiology signal. For signal processing, this research uses DAQ card (Data Acquisition card) to process analog input signals. The ECG (electrocardiogram) signal will be obtained by using FFT (Fast Fourier Transform) in the frequency domain analysis of a major work by a lot of sampling and compared to find out some simple disease.
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Swami, Piyush. "Intelligent system for diagnosis of epilepsy usingbrain signals". Thesis, 2018. http://localhost:8080/xmlui/handle/12345678/7702.
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Weil, Mareike Bianca. "Evaluation eines neuartigen kapazitiven EKG-Systems bei Patienten mit akutem ST-Hebungs-Myokardinfarkt". Doctoral thesis, 2013. http://hdl.handle.net/11858/00-1735-0000-0022-5D0C-E.
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Hung, Chia-Cheng. "Establishment of Genetic Diagnostic Techniques and Gene Dosage Analytical Systems in Genetic Disorders". 2007. http://www.cetd.com.tw/ec/thesisdetail.aspx?etdun=U0001-1607200717585000.
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Chen, Chia-He. "Development of a e-Diagnostics System Based on Web-Services". 2004. http://www.cetd.com.tw/ec/thesisdetail.aspx?etdun=U0001-2707200415135500.
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Ching-Shun, Chen. "Development of an Intelligent Diagnosis and Maintenance System". 2005. http://www.cetd.com.tw/ec/thesisdetail.aspx?etdun=U0001-2407200516515600.
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Chiu-Hsiung, Chen. "Intelligent Fault Diagnosis and Reconfiguration Control System Design". 2003. http://www.cetd.com.tw/ec/thesisdetail.aspx?etdun=U0009-0112200611291142.
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Pai, Tsung-Cheng. "Development of Socket Collaborative Service-oriented Architecture Information Platform with Web-based Dispatching and Diagnosis Systems". 2008. http://www.cetd.com.tw/ec/thesisdetail.aspx?etdun=U0001-2407200815000600.
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Amadesi, Alessandra. "A FLOTAC and Mini-FLOTAC automated system for parasitological diagnosis in animals. New tools for Faecal Egg Count of gastrointestinal nematodes in ruminants". Tesi di dottorato, 2020. http://www.fedoa.unina.it/13089/7/Amadesi_Alessandra_Tesi_32.pdf.
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This PhD project has allowed to design, project and validate the Kubic FLOTAC Microscope, a new compact, low-cost, versatile digital microscope able to automatically scan the fecal specimens prepared with Mini-FLOTAC or FLOTAC techniques, used for Faecal Egg Count (FEC). This microscope will improve significantly the performances of diagnostic techniques. In this thesis, technical, mechanical, electronical and informatic aspects of Artificial Intelligence and Machine Learning were described.
CHAPTER I provides an examination of the most common techniques for copromicroscopic diagnosis of gastrointestinal nematodes (GIN) in ruminants. Moreover, the limitations for each technique and the factors that led to the development of the FLOTAC and Mini-FLOTAC techniques are discussed. This chapter highlights also the factors that influence the variability of FEC techniques based on the flotation principle (e.g. method of preservation of faecal sample, choosing of flotation solution) and that are important for the standardization of methods.
CHAPTER II shows the results of three studies aimed to evaluate and implement the performances of the Mini-FLOTAC techniques.
These studies permitted to integrate and strengthen the data on Mini-FLOTAC techniques, in order to develop an automated system for the recognition and counting of GIN eggs in ruminants.
In CHAPTER III is presented the Kubic FLOTAC Microscope (KFM), a digital microscope for the use in field and in laboratory for the reading of FLOTAC and Mini-FLOTAC through the use of Smartphone, Tablet and other newdevices, which allow to send via Internet the captured images for a real-time consultation, in vision of the Tele-Parasitology. The fully automated recognition and counting of the KFM system are in development. In addition, the first validations of the KFM were performed, using faecal samples collected from cattle experimentally infected with Cooperia oncophora and Ostertagia ostertagi at the Department of Virology, Parasitology and Immunology of the University of Ghent (Belgium).
As described in the general discussion (CHAPTER IV), this doctoral thesis has allowed the development of a digital microscope which will be integrated, in the future, in a system that will permit the automation of the FLOTAC and Mini-FLOTAC techniques from the sampling to the reading phase.