Дисертації з теми "Heart rate detection"
Оформте джерело за APA, MLA, Chicago, Harvard та іншими стилями
Ознайомтеся з топ-50 дисертацій для дослідження на тему "Heart rate detection".
Біля кожної праці в переліку літератури доступна кнопка «Додати до бібліографії». Скористайтеся нею – і ми автоматично оформимо бібліографічне посилання на обрану працю в потрібному вам стилі цитування: APA, MLA, «Гарвард», «Чикаго», «Ванкувер» тощо.
Також ви можете завантажити повний текст наукової публікації у форматі «.pdf» та прочитати онлайн анотацію до роботи, якщо відповідні параметри наявні в метаданих.
Переглядайте дисертації для різних дисциплін та оформлюйте правильно вашу бібліографію.
Magnusson, Karolina. "Mechanical heart rate detection using cardiogenic impedance - a morphology approach." Thesis, Linköpings universitet, Institutionen för medicinsk teknik, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-119381.
Повний текст джерелаDanielsson, Fanny. "NON-CONTACT BASED PERSON’S SLEEPINESS DETECTION USING HEART RATE VARIABILITY." Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-44620.
Повний текст джерелаAguilar, Pelaez Eduardo. "Real-time algorithms for acoustic heart rate detection and respiratory rate extraction for use in miniature wearable breathing and heart monitor." Thesis, Imperial College London, 2010. http://hdl.handle.net/10044/1/39384.
Повний текст джерелаUggla, Lingvall Kristoffer. "Remote heart rate estimation by evaluating measurements from multiple signals." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-210303.
Повний текст джерелаEn människas puls säger en hel del om dennes hälsa. För att mäta pulsenanvänds vanligtvis metoder som vidrör människan, vilket iblandär en nackdel. I det här examensarbetet tas en metod för pulsmätningpå avstånd fram, som endast använder klipp från en vanlig videokamera. Färgen i pannan mäts och utifrån den genereras flera signalersom analyseras, vilket resulterar i olika mätvärden för pulsen. Genomatt värdera dessa mätvärden med avseende på hur tydliga signalernaär, beräknas ett viktat medelvärde som ett slutgiltigt estimat på medelpulsen. Metoden testas på videoklipp med varierande svårighetsgrad,beroende på hur mycket rörelser som förekommer och på vilketavstånd från kameran försökspersonen står. Resultaten visar att metodenhar mycket god potential och att man kan man förvänta sig finaresultat med bättre, mindre brusiga signaler.
Häggmark, Sören. "Detection of myocardial ischemia : clinical and experimental studies with focus on vectorcardiography, heart rate and perioperative conditions /." Umeå : Kirurgisk och perioperativ vetenskap, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-598.
Повний текст джерелаHäggmark, Sören. "Detection of myocardial ischemia : clinical and experimental studies with focus on vectorcardiography, heart rate and perioperative conditions." Doctoral thesis, Umeå universitet, Anestesiologi och intensivvård, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-598.
Повний текст джерелаSyed, Shah Nemath Farhan. "IMPLEMENTATION OF INTERACTIVE REMOTE PHYSIOLOGICAL MONITORING AND FEEDBACK TRAINING SYSTEM." University of Akron / OhioLINK, 2006. http://rave.ohiolink.edu/etdc/view?acc_num=akron1164666232.
Повний текст джерелаRaymondi, Luis Guillermo Antezana, Fabricio Eduardo Aguirre Guzman, Jimmy Armas-Aguirre, and Paola Agonzalez. "Technological solution for the identification and reduction of stress level using wearables." IEEE Computer Society, 2020. http://hdl.handle.net/10757/656578.
Повний текст джерелаIn this article, a technological solution is proposed to identify and reduce the level of mental stress of a person through a wearable device. The proposal identifies a physiological variable: Heart rate, through the integration between a wearable and a mobile application through text recognition using the back camera of a smartphone. As part of the process, the technological solution shows a list of guidelines depending on the level of stress obtained in a given time. Once completed, it can be measured again in order to confirm the evolution of your stress level. This proposal allows the patient to keep his stress level under control in an effective and accessible way in real time. The proposal consists of four phases: 1. Collection of parameters through the wearable; 2. Data reception by the mobile application; 3. Data storage in a cloud environment and 4. Data collection and processing; this last phase is divided into 4 sub-phases: 4.1. Stress level analysis, 4.2. Recommendations to decrease the level obtained, 4.3. Comparison between measurements and 4.4. Measurement history per day. The proposal was validated in a workplace with people from 20 to 35 years old located in Lima, Peru. Preliminary results showed that 80% of patients managed to reduce their stress level with the proposed solution.
Revisión por pares
Vykoupil, Pavel. "Použití analýzy HRV pro automatickou detekci ischemie u izolovaného zvířecího srdce." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2014. http://www.nusl.cz/ntk/nusl-220564.
Повний текст джерелаDoyen, Matthieu. "Méthodes probabilistes pour le monitoring cardio-respiratoire des nouveau-nés prématurés." Thesis, Rennes 1, 2018. http://www.theses.fr/2018REN1S049/document.
Повний текст джерелаThe surveillance of premature newborns placed in intensive care units led to the notion of monitoring and the acquisition of many physiological signals. While this information is well used for the diagnosis and prevention of emergency situations, it must be acknowledged that, to date, it is less the case for predictive purposes. This is mainly due to the difficulty of extracting reliable information in real time, without any visual control, from non-stationary signals. This thesis aims to propose robust methods, adapted to the context of neonatal intensive care units and real time. For this purpose, a set of generic methods applied to cardiac variability, but capable of being adapted to other physiological constants such as respiration, have been developed and tested in clinical context. Four main parts illustrate these points : - The proposal of an original multicharacteristic probabilistic real time detection method for robust detection of interest events of noisy physiological signals. Generic, this solution is applied to the robust QRS complex detection of the ECG signals. It is based on the real time calculation of several posterior probabilities of the signal properties before merging them into a decision node using the weighted Kullback-Leibler divergence. Compared to two classic methods from the literature on two noisy databases, it has a lower detection error rate (20.91% vs. 29.02% (wavelets) and 33.08% (Pan-Tompkins) on the test database). - The proposal of using hidden semi-markovian models for the segmentation of temporal periods with most reliable event detections. Compared to two methods from the literature, the proposed solution achieves better performance, the error criterion obtained is significantly lower (between -21.37% and -74.98% depending on the basis and approach evaluated). - The selection of an optimal detector for the monitoring of apnea-bradycardia events, in terms of reliability and precocity, based on ECG data obtained from newborns. The performance of the selected detector will be compared to the alarms generated by an industrial continuous monitoring device traditionally used in neonatology service (Philips IntelliVue monitor). The method based on the abrupt change of the RR average achieves the best results in terms of time (3.99 s vs. 11.53 s for the IntelliVue monitor) and reliability (error criterion of 43.60% vs. 80.40%). - The design and development of SYNaPSE (SYstem for Noninvasive Physiological Signal Explorations) software platform for the acquisition of various physiological signals in large quantities, and in a non-invasive way, within the care units. The modular design of this platform, as well as its real time properties, allows simple and fast integration of complex signal processing methods. Its translational interest is shown in the analysis of a database in order to study the impact of bilirubin on cardiac variability
Macková, Pavlína. "EKG biofeedback." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2012. http://www.nusl.cz/ntk/nusl-219742.
Повний текст джерелаDizon, Lucas, and Martin Johansson. "Atrial Fibrillation Detection Algorithm Evaluation and Implementation in Java." Thesis, KTH, Skolan för teknik och hälsa (STH), 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-158878.
Повний текст джерелаFörmaksflimmer är en vanlig hjärtrytmrubbning som kännetecknas av en avsaknad eller oregelbunden kontraktion av förmaken. Sjukdomen är en riskfaktor för andra allvarligare sjukdomar och de totala kostnaderna för samhället är betydande. Det skulle därför vara fördelaktigt att effektivisera och förbättra prevention samt diagnostisering av förmaksflimmer. Kliniskt diagnostiseras förmaksflimmer med hjälp av till exempel pulspalpation och auskultation av hjärtat, men diagnosen brukar fastställas med en EKG-undersökning. Det finns idag flertalet algoritmer för att detektera arytmin genom att analysera ett EKG. En av de vanligaste metoderna är att undersöka variabiliteten av hjärtrytmen (HRV) och utföra olika sorters statistiska beräkningar som kan upptäcka episoder av förmaksflimmer som avviker från en normal sinusrytm. I detta projekt har två metoder för att detektera förmaksflimmer utvärderats i Matlab, en baseras på beräkningar av variationskoefficienten och den andra använder sig av logistisk regression. EKG som kommer från databasen Physionet MIT används för att träna och testa modeller av algoritmerna. Innan EKG-signalen kan användas måste den behandlas för att ta bort olika typer av brus och artefakter. Vid test av algoritmen med variationskoefficienten blev resultatet en sensitivitet på 91,38%, en specificitet på 93,93% och en noggrannhet på 92,92%. För logistisk regression blev sensitiviteten 97,23%, specificiteten 93,79% och noggrannheten 95,39%. Algoritmen med logistisk regression presterade bättre och valdes därför för att implementeras i Java, där uppnåddes en sensitivitet på 91,31%, en specificitet på 93,47% och en noggrannhet på 95,25%.
Sandri, Gustavo Luiz. "Automated non-contact heart rate measurement using conventional video cameras." reponame:Repositório Institucional da UnB, 2016. http://dx.doi.org/10.26512/2016.02.D.21118.
Повний текст джерелаConforme o sangue flui através do corpo de um indivíduo, ele muda a forma como a luz é irradiada pela pele, pois o sangue absorve luz de forma diferente dos outros tecidos. Essa sutil variação pode ser capturada por uma câmera e ser usada para monitorar a atividade cardíaca de uma pessoa. O sinal capturado pela câmera é uma onda que representa as variações de tonalidade da pele ao longo do tempo. A frequência dessa onda é a mesma frequência na qual o coração bate. Portanto, o sinal capturado pela câmera pode ser usado para estimar a taxa cardíaca de uma pessoa. Medir o pulso cardíaco remotamente traz mais conforto pois evita o uso de eletrodos. Também permite o monitoramento de uma pessoa de forma oculta para ser empregado em um detector de mentira, por exemplo. Neste trabalho nós propomos dois algoritmos para a estimação da taxa cardíaca sem contato usando câmeras convencionais sob iluminação não controlada. O primeiro algoritmo proposto é um método simples que emprega um detector de face que identifica a face da pessoa sendo monitorada e extrai o sinal gerado pelas mudanças no tom da pele devido ao fluxo sanguíneo. Este algoritmo emprega um filtro adaptativo para aumentar a energia do sinal de interesse em relação ao ruído. Nós mostramos que este algoritmo funciona muito bem para vídeos com pouco movimento. O segundo algoritmo que propomos é uma melhora do primeiro para torná-lo mais robusto a movimentos. Nós modificamos o método usado para definir a região de interesse. Neste algoritmo é utilizado um detector de pele para eliminar pixels do plano de fundo do vídeo, os frames dos vídeos são divididos em micro-regiões que são rastreados com um algoritmo de fluxo ótico para compensar os movimentos e um algoritmo de clusterização é aplicado para selecionar automaticamente as melhores micro-regiões para efetuar a estimação da taxa cardíaca. Propomos também um esquema de filtragem temporal e espacial para reduzir o ruído introduzido pelo algoritmo de fluxo ótico. Comparamos os resultados dos nossos algoritmos com um oxímetro de dedo comercial e mostramos que eles funcionam bem para situações desafiadoras.
As the blood flows through the body of an individual, it changes the way that light is irradiated by the skin, because blood absorbs light differently than the remaining tissues. This subtle variation can be captured by a camera and be used to monitor the heart activity of a person. The signal captured by the camera is a wave that represents the changes in skin tone along time. The frequency of this wave is the same as the frequency by which the heart beats. Therefore, the signal captured by the camera could be used to estimate a person’s heart rate. This remote measurement of cardiac pulse provides more comfort as it avoids the use of electrodes or others devices attached to the body. It also allows the monitoring of a person in a canceled way to be employed in lie detectors, for example. In this work we propose two algorithms for non-contact heart rate estimation using conventional cameras under uncontrolled illumination. The first proposed algorithm is a simple approach that uses a face detector to identify the face of the person being monitored and extract the signal generated by the changes in the skin tone due to the blood flow. This algorithm employs an adaptive filter to boost the energy of the interest signal against noise. We show that this algorithm works very well for videos with little movement. The second algorithm we propose is an improvement of the first one to make it more robust to movements. We modify the approach used to define the region of interest. In this algorithm we employ a skin detector to eliminate pixels from the background, divide the frames in microregions that are tracked using an optical flow algorithm to compensate for movements and we apply a clustering algorithm to automatically select the best micro-regions to use for heart rate estimation. We also propose a temporal and spatial filtering scheme to reduce noise introduced by the optical flow algorithm. We compared the results of our algorithms to an off-the-shelf fingertip pulse oximeter and showed that they can work well under challenging situations.
Gaszczyk, Dariusz. "Wearable Assistant For Monitoring Solitary People." Thesis, Blekinge Tekniska Högskola, Institutionen för tillämpad signalbehandling, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-14592.
Повний текст джерелаChakraborty, Prithwi Raj. "Detecting viewer interest in video using facial and heart rate responses." Thesis, Queensland University of Technology, 2017. https://eprints.qut.edu.au/108023/1/Prithwi%20Raj_Chakraborty_Thesis.pdf.
Повний текст джерелаLasanen, K. (Kimmo). "Integrated analogue CMOS circuits and structures for heart rate detectors and other low-voltage, low-power applications." Doctoral thesis, Oulun yliopisto, 2011. http://urn.fi/urn:isbn:9789514294556.
Повний текст джерелаTiivistelmä Tämä väitöskirja käsittelee matalan käyttöjännitteen pienitehoisten piirirakenteiden kehittämistä kannettaviin, paristokäyttöisiin sovelluksiin kuten esimerkiksi sykemittareihin, sydämen tahdistimiin ja kuulolaitteisiin. Matalalla käyttöjännitteellä tarkoitetaan jännitettä, joka on pienempi tai yhtäsuuri kuin analogisen kytkimen tarvitsema pienin mahdollinen käyttöjännite, VDD(min) ≤ 2VT + Vov, joka mahdollistaa piirin toiminnan yhdellä paristolla, jonka napajännite on 1 – 1,5 V. Tavoiteltu tehonkulutus on mikrowattiluokkaa. Piirirakenteiden suunnittelussa otettiin huomioon viimeisimpien ja lähitulevaisuuden CMOS-valmistusteknologioiden aiheuttamat matalan käyttöjännitteen erityisvaatimukset ja niiden pohjalta kehitettiin aluksi kaksi erilaista operaatiovahvistinta, GmC-suodatin, ja bandgap-jännitereferenssi. Operaatiovahvistimet toteutettiin samoin tavoitevaatimuksin kahdella eri tekniikalla käyttäen toisen vahvistimen tuloasteessa ns. kelluvahilaisia tulotransistoreita ja toisen tuloasteessa ns. allasohjattuja tulotransistoreita. Kehitetyistä rakenteista saatujen kokemusten pohjalta suunniteltiin, valmistettiin ja testattiin kaksi erilaista CMOS-teknologialla toteutettua mikropiiriä, jotka olivat analoginen esikäsittelypiiri sydämen sykkeen mittaukseen ja itsekalibroiva RC-oskillaattori resistiivisiin/kapasitiivisiin sensorisovelluksiin. Sydämen sykkeen esikäsittelypiiri sisältää jatkuva-aikaisen, offset-kompensoidun esivahvistimen, jonka vahvistus on 40 dB, kytketyistä kapasitansseista ja kytketyistä operaatiovahvistimista koostuvan kahdeksannen asteen kaistanpäästösuodattimen, 32 kHz kideoskillaattorin ja bias-piirin. Esikäsittelypiiri saavuttaa vaadittavan suorituskyvyn 1,0 – 1,8 V käyttöjännitteellä ja 3 μA virrankulutuksella. Itsekalibroivan RC-oskillaattorin käyttöjännitealue puolestaan on 1,2 – 3,0 V ja käyttökelpoinen taajuusalue 0,2 – 150 MHz. Ulkoista tarkkuusvastusta ja kondensaattoria käytettäessä oskillaattori saavuttaa ±1 % tarkkuuden 1,2 – 1,5 V käyttöjännitteillä ja -20 – 60 °C lämpötila-alueella virrankulutuksen jäädessä alle 70 μA @ 5 MHz. Mittaustulokset osoittavat, että kehitetyt matalan käyttöjännitteen pienitehoiset analogiset rakenteet saavuttavat vaadittavan suorituskyvyn ja voidaan näin ollen menestyksekkäästi valmistaa moderneilla matalan käyttöjännitteen CMOS-teknologioilla
Fernandes, Patrícia Pinheiro Jervis. "Estudo do impacto do maneio na fertilidade de bovinos leiteiros da Irlanda." Master's thesis, Universidade Técnica de Lisboa. Faculdade de Medicina Veterinária, 2011. http://hdl.handle.net/10400.5/3578.
Повний текст джерелаO declínio da fertilidade que se tem sentido no sector leiteiro tem suscitado uma crescente preocupação e busca de soluções por parte dos produtores. Assim sendo, o papel do Médico Veterinário como conselheiro e fornecedor de respostas sobre performance reprodutiva tem aumentado consideravelmente. Neste trabalho foram estudadas 327 vacas de quatro explorações leiteiras do condado de Kildare, República da Irlanda, que praticavam sistemas de produção sazonais (Primavera) em regime semi-extensivo. Estes produtores solicitaram a ajuda dos Veterinários da UCD para melhorar a fertilidade dos seus efectivos. Através da análise de rigorosos registos produtivos e reprodutivos, foi possível constatar que os parâmetros que maior influência exerceram na taxa de gestação foram o valor genético – Economic Breeding Index (p < 0,01), a produção leiteira (p < 0,05) e a perda máxima de condição corporal após o parto (p < 0,05). Recorrendo a um modelo de regressão binomial com estas três variáveis foi possível calcular a probabilidade de um animal ficar gestante, para uma sensibilidade de 99 % e especificidade de 5,9 %. Dado que a fertilidade é uma parâmetro multifactorial, deveriam ter sido estudadas outras variáveis para completar este modelo. Foi também detectada uma grave falha da detecção de estro em três das quatro explorações. Nestas, os intervalos entre repetições de serviços foram anormais e muitos dos animais que os produtores referiam como em anestro estavam de facto a ciclar. Com este estudo conseguiu-se demonstrar aos produtores a importância do maneio na melhoria da fertilidade, através da compilação de relatórios com os resultados obtidos dos registos. Numa reunião com todos os produtores foram fornecidos conselhos e desencorajadas medidas menos correctas.
ABSTRACT - Study of the impact of management on Irish dairy cattle fertility - The trend towards infertility in the dairy industry has raised concerns and has made farmers actively search for solutions. Therefore, the Veterinary, as a counselor and source of answers about reproductive performance has become essential. The sample of this study consisted of 327 dairy cows from four Irish farms, co. Kildare, practicing seasonal calving in the Spring. All of them solicited the help of the UCD Veterinary team in order to improve their herd’s fertility. After analyzing meticulously the productive and reproductive records, it was clear that the factors which affected the pregnancy rate the most were the Economic Breeding Index (p < 0,01), the 305 days milk yeld (p < 0,05) and the maximum body condition score loss after calving (p < 0,05). Using a binomial regression model with these three variables, a formula to calculate the probability of a cow to become pregnant was created, with a sensibility of 99 % and specificity of 5,9%. Since fertility is a multifactorial parameter, other variables could have been included in the study in order to make it more accurate. A serious inaccuracy on heat detection was found on three of the four farms. These had abnormal interval service repeats and most of the animals tagged as anestrus were in fact cycling. With this study the impact of management on the improvement of fertility was evident to the farmers, as the final year reports were very clear about the results and outcomes. On a brief discussion, the veterinary team told the farmers which methods to use and which to abandon.
Olšanská, Eva. "Analýza arytmií v experimentálních záznamech EKG." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2016. http://www.nusl.cz/ntk/nusl-241093.
Повний текст джерелаMáca, Kamil. "Kardiotachometr." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2010. http://www.nusl.cz/ntk/nusl-218654.
Повний текст джерелаLucena, Gonçalo Maria D'Aguiar de. "Tendências na evolução da fertilidade em explorações de bovinos leiteiros em Gloucestershire." Bachelor's thesis, Universidade Técnica de Lisboa. Faculdade de Medicina Veterinária, 2008. http://hdl.handle.net/10400.5/940.
Повний текст джерелаA fertilidade é um factor de extrema importância económica nas explorações de bovinos leiteiros. Nas últimas décadas tem-se observado, à escala mundial, uma diminuição da fertilidade aparentemente associada ao aumento da produção leiteira, e que ao ser contrariada, poderá contribuir para uma melhoria do desempenho económico das explorações. O intervalo entre partos ajustado é um índice que representa, de alguma forma, o impacto que essa diminuição da fertilidade tem na economia da exploração, mas outros índices, como as taxas de gestação e de detecção de estro tem que ser avaliadas para melhor compreensão dos problemas de fertilidade das explorações. Utilizando dados de campo, recolhido tanto pelos produtores como pelos veterinários do Wood Veterinary Group, avaliou-se o desempenho reprodutivo das explorações de bovinos leiteiros da região de Gloucestershire, no Reino Unido, utilizando uma variedade de índices. Observou-se que, entre 1984 e 2006, houve, em concordância com outros estudos, uma diminuição do desempenho reprodutivo, com base em quase todos os parâmetros estudados. Observou-se também que a taxa de detecção de cios diminuiu mais do que a taxa de gestação ao 1º serviço e a taxa de gestação global. Porém, a diminuição destas duas últimas pode estar relacionada com a diminuição da taxa de detecção de cios e que, por sua vez, contribui também para o alongamento do intervalo partoconcepção e do intervalo entre partos. É, portanto, importante desenvolver métodos mais eficientes e precisos de detecção de cio que ajudem a contrariar a tendência actual da fertilidade. Para isso, é também necessário utilizar estratégias nutricionais, hormonais e genéticas.
ABSTRACT Fertility is an extremely important issue in dairy farming economics. Over the last decades a decline in fertility in dairy cattle, associated with increasing milk yields, has been reported. Reverting this trend would improve dairy farming economic performance. Adjusted calving interval is a good index for fertility assessment, but other parameters should be used to investigate fertility problems. Reproductive performance was assessed in dairy farms in Gloucestershire, United Kingdom, using field data collected by farmers and Wood Veterinary Group veterinarians. Likewise in other studies data, there was a decrease in reproductive performance between 1984 and 2006, in virtually all parameters studied. Heat detection decreased more than the pregnancy rate, and the decrease observed in the latter might be related to decreasing heat detection accuracy. Increases in calving-conception and calving intervals are also related to declining heat detection rates. It’s important to develop new heat detection methods to revert the actual trend in fertility. Nutritional, endocrine therapy and genetic approaches will also be helpful.
Wåhlin, Peter. "Enhanching the Human-Team Awareness of a Robot." Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-16371.
Повний текст джерелаAnvändningen av autonoma robotar i vårt samhälle ökar varje dag och en robot ses inte längre som ett verktyg utan som en gruppmedlem. Robotarna arbetar nu sida vid sida med oss och ger oss stöd under farliga arbeten där människor annars är utsatta för risker. Denna utveckling har i sin tur ökat behovet av robotar med mer människo-medvetenhet. Därför är målet med detta examensarbete att bidra till en stärkt människo-medvetenhet hos robotar. Specifikt undersöker vi möjligheterna att utrusta autonoma robotar med förmågan att bedöma och upptäcka olika beteenden hos mänskliga lag. Denna förmåga skulle till exempel kunna användas i robotens resonemang och planering för att ta beslut och i sin tur förbättra samarbetet mellan människa och robot. Vi föreslår att förbättra befintliga aktivitetsidentifierare genom att tillföra förmågan att tolka immateriella beteenden hos människan, såsom stress, motivation och fokus. Att kunna urskilja lagaktiviteter inom ett mänskligt lag är grundläggande för en robot som ska vara till stöd för laget. Dolda markovmodeller har tidigare visat sig vara mycket effektiva för just aktivitetsidentifiering och har därför använts i detta arbete. För att en robot ska kunna ha möjlighet att ge ett effektivt stöd till ett mänskligtlag måste den inte bara ta hänsyn till rumsliga parametrar hos lagmedlemmarna utan även de psykologiska. För att tyda psykologiska parametrar hos människor förespråkar denna masteravhandling utnyttjandet av mänskliga kroppssignaler. Signaler så som hjärtfrekvens och hudkonduktans. Kombinerat med kroppenssignalerar påvisar vi möjligheten att använda systemdynamiksmodeller för att tolka immateriella beteenden, vilket i sin tur kan stärka människo-medvetenheten hos en robot.
The thesis work was conducted in Stockholm, Kista at the department of Informatics and Aero System at Swedish Defence Research Agency.
Herrmann, Théodore. "Centrales de mesures numériques, longue durée, portables pour l'acquisition de signaux physiologiques." Saint-Etienne, 1988. http://www.theses.fr/1988STET4011.
Повний текст джерелаZaylaa, Amira. "Analyse et extraction de paramètres de complexité de signaux biomédicaux." Thesis, Tours, 2014. http://www.theses.fr/2014TOUR3315/document.
Повний текст джерелаThe analysis of biomedical time series derived from nonlinear dynamic systems is challenging due to the chaotic nature of these time series. Only few classical parameters can be detected by clinicians to opt the state of patients and fetuses. Though there exist valuable complexity invariants such as multi-fractal parameters, entropies and recurrence plot, they were unsatisfactory in certain cases. To overcome this limitation, we propose in this dissertation new entropy invariants, we contributed to multi-fractal analysis and we developed signal-based (unbiased) recurrence plots based on the dynamic transitions of time series. Principally, we aim to improve the discrimination between healthy and distressed biomedical systems, particularly fetuses by processing the time series using our techniques. These techniques were either validated on Lorenz system, logistic maps or fractional Brownian motions modeling chaotic and random time series. Then the techniques were applied to real fetus heart rate signals recorded in the third trimester of pregnancy. Statistical measures comprising the relative errors, standard deviation, sensitivity, specificity, precision or accuracy were employed to evaluate the performance of detection. Elevated discernment outcomes were realized by the high-order entropy invariants. Multi-fractal analysis using a structure function enhances the detection of medical fetal states. Unbiased cross-determinism invariant amended the discrimination process. The significance of our techniques lies behind their post-processing codes which could build up cutting-edge portable machines offering advanced discrimination and detection of Intrauterine Growth Restriction prior to fetal death. This work was devoted to Fetal Heart Rates but time series generated by alternative nonlinear dynamic systems should be further considered
Wang, Xiaoyue 1978. "CMOS IC implementation of heart rate detection hardware." Thesis, 2006. http://hdl.handle.net/10125/20561.
Повний текст джерелаYamada, Shuhei. "Compact doppler radar system for heart rate detection." Thesis, 2007. http://hdl.handle.net/10125/20565.
Повний текст джерелаWang, Sheng-Wei, and 王聖維. "Application of Near Infrared Heart Rate Detection System." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/q8ps5a.
Повний текст джерела國立臺北科技大學
電子工程系研究所
104
In recent year, traditional contact instruments are the gold standrad techniques for measurement of the heart rate. But traditional contact measurement instruments can cause a lot of inconvenience. Current, Non-Contact Imaging Photoplethysmography (iPPG) have been proven to feasible measurement vital signs. Non-Contact measurments can provide a more comfortable physiological assessment ,and alos more suitable for long-term monitoring at home or hospital medical care. However now it susceptible to limit ambient light intensity. In this paper, we will use near-infrared (NIR) characteristics and image processing overcome this problem. With near-infrared spectrum as a dedicated light source to penetrate through the skin. Using Python5000 Gen3 image sensor camera, constitute of a non-invasive, non-contact measurement system. Further more system measure the distance to reach 1.2 meters away and reducing ambient lighting effects heart rate measurement. Image processing conversion in RAW data format, by using discrete wavelet transform (DWT) fast segmentation image in to different frequency bands. It is for Eulerian Magnification (EM) to process image for visualizing variation of the human pluse recorded by image sensor. After finite impulse filter (FIR), heart pulse is filtered waveform signal. This paper presents an approch to reduce the ambient light of non-contact Imaging Photoplethysmography heart rate measurement system. As a result of Bland Altman value analysis with traditional contact heart rate measurement the mean difference 1.1, and compare with the commercially high-end webcam raised the mean difference 2.8, which includes accurate measurements make it a relatively broad application.
Liu, Hsiang-Chi, and 劉湘琦. "Heart Rate Detection Based on Facial Feature Points Tracking." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/sqj8n7.
Повний текст джерела國立雲林科技大學
資訊工程系
106
According to the 2016 statistics of causes of death (Taiwan Ministry of Health and Welfare), cardiovascular diseases(CVD) is the second leading cause of death. With the aging of population and the declined in the average age of suffering cardiovascular diseases, the prevention of the CVD has received more and more attentions. In recent years, with the improvement of photographic equipment and computer’s computational efficiency, there are many non-contact heartbeat detection technologies based on image had been proposed. However, their performances are suffering from the influences under complex environment such as illumination changes, and non-frontal face. In order to provide people can examine the body information in normal time, and achieve the prevention and reduce the chance of CVD, this thesis proposed a non-contact heart rate detection method. A regression tree was applied to located facial feature points, and tracked its trajectory. Then, the FastICA was used to separate blind source. The most appropriate channel for frequency domain analysis, and calculate heart rate. Experimental results showed that the accuracy of the proposed method is about 97.2%.
Chen, Chien-Hao, and 陳建豪. "Real-Time Face Detection with Remote Heart Rate Measurement." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/dwdx34.
Повний текст джерела國立交通大學
電子研究所
107
Face is one of the most frequently appearing objects in realistic world. Many applications with great potentialities such as face ID are now becoming more popular topics. However, those applications based on face region still need to obtain the face position in the image or video first, making face detection become a common issue. With a fast and accurate face detection model, the limitation in some moreover applications will not be too much. Several studies have shown a good performance with deep learning models but the overall inference are not quite effective. In this thesis, we refer to MTCNN [1] as our basic face detection model. In order to gain more speedup, several methods such as model simplification, complicated equation approximation and weight quantization have been applied to the original MTCNN. Finally, to achieve real-time face detection with competitive energy-efficiency, our face detection model can be 106 times faster and model size 3.6 times smaller comparing to the original MTCNN running on Andes Technology RISC-V embedding system, and accuracy on FDDB [3] dataset can still reach 0.8259 at FPPI 0.01 which also outperforms the state of the art (0.8188), making our proposal very suitable for Intelligent IoT devices. Furthermore, based on MTCNN, a deeper application: remote heart rate measurement via camera facial video with this face detection system has also been proposed. Heart rate is an important indicator which can show the physiological state of a subject. However the traditional heart rate measurement method requires body contact, subject needs to hold the electrodes to obtain the ECG signal, making more limitations to some deeper applications. Hence, based on MTCNN and the remote heart rate extraction method from [2], we propose a more accurate heart rate measurement system from camera facial video. Also we have collected a dataset to test our system performance. Total heart rate error can be reduced to 5.73 bpm, which is also better than the original method (17.70 bpm) on our testing dataset.
Lin, You-Wei, and 林侑緯. "Development of an Android-Based Heart Rate Abnormality Detection System." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/7j27fv.
Повний текст джерела國立臺北科技大學
電機工程系研究所
101
Nowadays, a great number of people suffer from cardiovascular diseases due to busy work and big life pressures. Therefore, how to apply technology to help people monitor their health has received much attention in recent years. This study aims to develop a heart rate abnormality detection system by using Android-based mobile devices, which consists of ECG acquisition circuit, QRS complex detection, and heart rate abnormality detection algorithms. This system can not only help people monitor their health anytime and anywhere, but also detect their symptoms of heart rate abnormalities as early as possible, thus avoiding sudden death. The proposed system has been verified by employing the MIT-BIH database to detect 5 categories of arrhythmia, which are Premature Atrial Contraction Beat (PACB), Premature Ventricular Contraction Beat (PVCB), Fusion of Paced and Normal Beat (FB), Second-Degree Atrioventricular Block (2o A-V Block), and Ventricular Escape Beats (VB) and achieved a detection accuracy of 97 %, which demonstrates practical potential of the proposed system.
Chan, Ya-yen, and 詹亞燕. "A Study of Fatigue Detection Based on Heart Rate Variability." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/352hyx.
Повний текст джерела國立臺灣科技大學
電子工程系
102
Most people often appear fatigued and dulled response during the long time drive. If drivers do not stop and take a rest immediately, it would cause a serious accident. Therefore, this paper focuses on the correlation between fatigue and heart rate variability. We observe the physiological changes from general state to fatigue states.This paper extracts the heart rate variability signal by ECG signal. According international standards, we compute heart rate variability in time domain and frequency domain parameters. In the frequency domain, we convert the heart rate variability to frequency domain by FFT (Fast Fourier Transform) and draw PSD (Power Spectral Density) figure. We use time domain and frequency domain parameters to analyze the degree of fatigue.We found that in fatigued state, the heart rate, SDNN and RMSSD parameters are lower than normal state. And the frequency parameters, like LF, LF/HF Ratio are increasing and HF is decreasing in fatigued state.
Lin, Jhe-Yuan, and 林哲遠. "Heart Beat Rate Estimation through Non-contact Detection Measuring System." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/19540747456079957646.
Повний текст джерела淡江大學
電機工程學系碩士班
102
Clinical testing heart beat information is an important indicator of life parameters; the current mainstream approach is the use of contact detection technology. Non-contact detection refers to the use of external energy without contacting the human body to detect changes of the human body in the physiological environment. Physiological monitor instrument is generally connecting the human body by using wired sensor to measure human body’s physical parameters; it is uncomfortable for people to using this monitoring instrument for a long time. Non-contact detection devices are not suitable for use in general household or personal, because its price is too expensive and difficult to acquire. This study proposes a non-contact method based on video format to measure the heartbeat. It uses the information of the absorption amount of our face to various lights to predict the heartbeat; it is also through image processing and Independent Components Analysis (ICA) to find the hidden information in images and to integrate these information, and then through frequency domain transformation and heartbeat estimation procedure, to achieve a complete automatic non-contact measurement.
Tsai, Ching-Hung, and 蔡青宏. "Construction of Heart Rate Detection System and Sports Training Application." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/13540505893183158199.
Повний текст джерела國立體育大學
競技與教練科學研究所
102
To achieve the physiological response data immediately and accurately is what the scientists are searching for . Sports scientists always use multiple biomarkers from exercise-induced responses to understand the body situations. Heart rate monitors are valuable and the easiest biomarker on stress at physical activities. To date, most of heart rate monitoring systems focus on personal training. It was lack of team sport events on heart rate detection system. Therefore, we develop hardware and software devices in team application, showing people and individual physiological data by color and graphics, to rapidly acquire physiological data presented scientific and applied to practical training goals. Another function is that the software and exercise training program is based on personal ability. This model can improve the safety of sport and exercise monitoring its convenience.
Chen, Po-Yu, and 陳伯育. "A frequency to voltage converter for abnormal heart-rate detection." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/96509935653878259545.
Повний текст джерела國立雲林科技大學
電子與資訊工程研究所
100
Heart disease is in second place among the top 10 causes of mortality in Taiwan. To reduce Heart disease-related mortality rate, it is important to receive therapeutic assistance within the golden hour. This study designed a frequency to voltage convertor chip (FVC) that can change the output voltage signals of the convertor according to the characteristics of frequency alternation. When applied in heart-rate detection, the chip can deliver immediate warnings to users when heart-rate abnormality is detected. The chip can be applied in heart rate detection to check the rate of heartbeats, and the detecting results are demonstrated on four LEDs for users to know whether their heart rates are abnormal. The study applied TSMC 0.18UM CMOS 1P6M 1.8&3.3V process to complete chip design. In the initial circuit design, peripheral circuits were applied along with the frequency to voltage convertor chip for system testing. Then in the second circuit design, peripheral circuits were involved in the chip to complete a portable heart rate detecting and warning system.
Chia-YiChu and 朱家毅. "The study of the Heart rate Detection System with PVDF." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/y68hx7.
Повний текст джерела國立成功大學
電腦與通信工程研究所
105
SUMMARY In this paper, we use PVDF(Polyvinylidene fluoride) sensor to get heart sound. It’s different form ECG(Electrocardiography) and heart sound. It collect chest tremor by heart beat. This sensor can collect your breathing, too. The Development board we use is Arduino because it’s easy to coding and it has a lot of module to use. And then we use BLE module to send raw data to smart phone, including heart wave data, heart rate, user’s location, and user’s temperature. We made a wearable device and app for our system. The app will show the heart sound wave and user ID, location, temperature and heart rate. The raw data will be recorded for use algorithm to analysis wave on PC by MATLAB, and compare heart rate’s correct rate.
Zhou, Qin 1980. "Detection of heatbeats in wireless signal." Thesis, 2006. http://hdl.handle.net/10125/20563.
Повний текст джерелаPrawiro, Eka Adi Prasetyo Joko, and 艾卡愛迪. "Heart Rate Detection Method for Low Power Exercise Intensity Monitoring Device." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/835286.
Повний текст джерела國立臺灣科技大學
電子工程系
102
Exercise is important for our health, however inappropriate exercise would harm or affect nothing to our body. Therefore, a wearable exercise intensity monitoring device is needed to assist user for managing their exercise intensity. One of many parameter index to indicate the exercise intensity is heart rate (HR). In this thesis, we proposed a high accuracy HR detection method and implemented it on a wearable and low power device for exercise intensity monitoring. The accuracy of HR detection method has been verified into two levels, peak detection and HR detection. Peak detection is used for examining the accuracy of proposed algorithm compared with our implemented Pan Tompkins algorithm. We use MIT BIH ST-Change Database and MATLAB to verify the accuracy of the algorithm. The accuracy of peak detection is 99.2%. For HR detection, we verified the accuracy into three conditions i.e. initial, resting, and dynamic condition. In initial condition, the results show that the algorithm can detect the HR accurately in normal ECG, inverted ECG, and flat waveform. For resting condition, we use a commercial ECG simulator as signal input and obtain 100% for the accuracy of HR detection. For dynamic condition, we use treadmill test with ten subjects (8 male, 2 female) that has been asked to walk with six different speeds ranging from 1.8 km/h to 6.3 km/h and to run with speed 7.2 km/h. The accuracy of HR detection is 99.7%.
LIN, YU-YAO, and 林育堯. "Heart-Rate Variability based Driver Fatigue Detection and Prediction System Design." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/khe99w.
Повний текст джерела國立中正大學
資訊工程研究所
105
Host existing driver fatigue detection systems are real-time; however, they do not allow drivers enough buffer time to park his/her vehicle after he is fatigued. As a result, the system is not able to ensure driving safety after the driver is fatigued, which is very dangerous. To solve this problem, this Thesis proposes a Driver Fatigue Monitoring System which can simultaneously detect and predict driver fatigue. In this Thesis, we use a back-propagation neural network (BPNN) model to perform real-time fatigue detection and prediction by analyzing a driver's heart rate variability. The prediction module predicts the driver's future fatigue situation by analyzing changes in the driver's past fatigue levels and sends an early warning so as to give the driver enough time to park safely. However, heart rate variability is susceptible to interferences or shocks and their occurrence frequency. In this Thesis, we propose a dynamic weight moving average method based on data quality, which can dynamically adjust the weight of each time slot on the moving average by analyzing the quality of the data to reduce the influence of the interference on the final analysis result and improve the accuracy of detection and prediction. Experiments show that the proposed system can effectively detect a driver's fatigue, with an accuracy rate of up to 96%. The proposed system can also effectively predict a driver's fatigue situation, by up to 15 to 17 minutes before being actually fatigued, and the accuracy is higher than 90%. The dynamic weight moving average method proposed in this Thesis is more accurate than the traditional moving average method, it improves 10% accurate in detection and prediction. This is also proved in the experiments.
Tsai, Ching-Wei, and 蔡慶偉. "Real-Time Heart Rate Variability Analysis and Physical Activity Detection System." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/23673175772746226773.
Повний текст джерела國立陽明大學
醫學工程研究所
95
The aim of this thesis is the improvement of ambulatory ECG. We combine the development of the hardware and firmware activity detection, HRV analyzing and myocardial ischemia detection. We hope this system can assist us to detect the heart diseases prognostic symptom. We developed a microcontroller-based system , included three parts: 1. Using accelerometer to identify the activity level and posture of the user. 2. Using low power a microcontroller, we developed a real-time activity-considering heart rate variability spectral analysis mechanism for ischemia heart disease detection. 3. For long-term measurement, the bio-information is stored in flash memory for long-term tracing or further research. This research demonstrated that the improved ambulatory ECG system is able to fulfill the real-time processing and long-term monitoring (more than 24 hours) requirements. Five healthy male subjects, mean age 24, were collected to analyze the relationships between posture and HRV using our system. As the posture is changing from one to another, LF and HF power is higher in lying than in sitting and dynamic activity. LF and HF power is higher in sitting than in dynamic activity in some subjects. The LF power to HF power ratio form dynamic activity, sitting to lying posture is decreasing. Seven cases selected form European ST-T database were analyzed to observe the relationship between myocardial ischemia and HRV.
Tzeng, De Jeng, and 曾德正. "An FPGA Sensor Platform for Heart Rate and Ventricular Premature Contraction Detection." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/47769116633319316409.
Повний текст джерела長庚大學
電機工程學研究所
97
This research implemented an System on chip (S.O.C) biomedical information platform base on Xilinx Field-Programmable Gate Array (FPGA).This platform has been use for an IP which detect whether Ventricular Premature Contraction (VPC) happened or not. Base on Power PC 405, this system include of ADC for data acquisitions, codec for AC97 signal source , CF (compact flash) card for data storage and General purpose I/O. After data acquisition, data could storage in CF card, transfer to PC or analyzed in some user defined algorithm IP. Power PC and bus operate on same rate 100 Mhz for power consideration. This system has great expandable space . Whether PLB or OPB, user can insert more user defined devices or algorithms for this platform if hardware resource allow. In software, Consider it used of scheduled lightly. This platform used stand alone OS. For analyzing feasibility of platform. We implemented a VPC detection IP. This IP is to combine Phase-Space[1] algorithm and Pan-Tompkins[2] algorithm to analysis data. Then analysis data’s characteristics to detect whether VPC or not.
Yi-ChingChen and 陳怡靜. "Development of an Asthma Detection Algorithm based on Heart Rate Variability Analysis." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/2658sk.
Повний текст джерелаKabir, Muammar Muhammad. "Detection of cardiorespiratory interaction for clinical research applications." Thesis, 2012. http://hdl.handle.net/2440/74220.
Повний текст джерелаThesis (Ph.D.) -- University of Adelaide, School of Electrical and Electronic Engineering, 2012
Tee, Jarwin-Jim Ang, and 鄭嘉輝. "Time-Domain Heart Rate Variability Analysis as a Tool for Sleep Apnea Detection." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/04701869442905345489.
Повний текст джерела中原大學
生物醫學工程研究所
101
Obstructive Sleep Apnea (OSA) is a syndrome in which there is a repeated event of a partial or complete obstruction of the upper airway during sleep, resulting in intermittent hypoxia and transient repetitive arousals from sleep. The characteristic heart rate pattern, known as the cyclic variation of heart rate (CVHR), that is known to accompany OSA episodes had been demonstrated in earlier studies to be an effective tool in the detection of OSA due to the high correlation between the CVHR index (CVHR per hour) and the apnea-hypopnea index. Moreover, Time- domain HRV analysis has been proven as powerful tool in definitive diagnosis and classification of OSAS by using R-wave detection to extract and analyze the RR intervals of ECG readings. In this study, the So and Chan algorithm for QRS detection was implemented along with time-domain HRV analysis in order to develop a system capable of deriving the required HRV characteristics for reliable diagnosis from ECG signals. The system was tested by using ECG recordings from Physionet’s Apnea-ECG database and also from ECG recorded using through the system. The results of the diagnosis from the Physionet data were then compared to the minute by minute classifications found in the Physionet database in order to test the reliability of the algorithm. The findings in the tests conducted have shown high accuracy, as high as 84% for recordings with severe apneas, and high sensitivity and specificity, around 90% and around 80% respectively. Real ECG data that was recorded using the National Instruments USB DAQ-6008 data acquisition device gave us similarly good results as with the analysis of the Physionet database.
Po-ChengLiu and 劉博烝. "Development and Application of E-learning Attention and the Heart Rate Detection System." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/21459828980827663137.
Повний текст джерела國立成功大學
工程科學系專班
100
Attention is the important key to improve the effectiveness of learning, and can absorb knowledge in a shorter time. Moreover, concentration on learning is easier to grasp the essentials of learning, and promote the outcome of learning effectively. In conventional classroom, a teacher and students usually conduct a teaching activity through face-by-face method that handles the whole students’ learning behavior, especially, in the small classroom. With the advance of computer technology, using computers and networks for teaching activities have already become teaching tool in E-learning. Although the use of digital device can assist on presenting diverse teaching methods, students may not actively learn on the classroom in the lack of the care of the teacher. In addition, the students may lack for attention and are easy to neglect learning. Therefore, the diversification of teaching and learning environment is not necessarily significantly increase the effectiveness of learning. In order to understand the attention of students in learning to improve the effectiveness of personalized E-learning, the study designs a heart-rate capture system to analyze students’ attention. The system uses a operating devices with heart-rate detection to capture a student's heart-rate to understand the attention in the learning period. Then the system instantly sent the information of the heart-rate to the teacher. After understanding the learning from the students, the teacher can adjust the learning progress. In the meanwhile, the heart-rate information is also stored in the database for future analysis, and improves the quality of teaching.
Hsiao, Yi-Hsin, and 蕭奕昕. "Evaluation of Filter Implementation for Heart Rate Detection in Different Postures and Measured Positions." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/cxjac5.
Повний текст джерела國立臺北科技大學
電腦與通訊研究所
99
Heart rate signal is one of the reliable reference for human healthy, and this signal is also enough to prevent out of fatigue and excessive exercise. There are lots of researches have been extended from heart rate signal, such as within electrodes in clothes, combined athletic postures in experiments, and electrodes effect on heart rate detection. It means the heart rate analysis is valuable for human. Users can not measure heart rate signal by products in the markets because of the muscle noise from postures, electric interference and the volume of the products, they only works in static state. There is a researching flow chart presented in this paper. In the first step, we capture the heart rate signal, investigate the feature of filters, then decide the filters which fit for capturing heart rate signal in other postures. There are some discussions about the orders of filters and the bandwidth which fit for heart rate detection. Then we combined these filters with heart rate detected circuit, and analysis the noise and the bandwidth by different postures and measured positions. Avoid these muscle noise and interference, and improve the heart rate signal recognition. It shows the performance is related by filter orders after this researching flow, but on the other hand, area of the filter circuit should be considered. The heart rate signal is clearer than other positions on the chest, and the signal which from neck cannot be evaluated; it means the signal-noise-ratio is worse than other measured position. People can choose the suitable filter size and orders of filters for these postures and evaluate the effect on anti-noise between two measured electrodes. This paper provide the evaluation about heart rate detection which measured in different postures and positions, and provide the characteristics for portable device designed in the future.
Wang, Yu-Wen, and 王郁文. "Algorithm Design for the Detection of Human Heart Rate on a Doppler Radar System." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/10336061388987653815.
Повний текст джерела國立中山大學
機械與機電工程學系研究所
104
Due to the fact that people pay more attention on health nowadays, and the society of Taiwan gradually towards to an aging one, the cost of health care are increasing year by year. Under the circumstances, the low cost, suitable for long-time monitoring purpose, such as non-contact vital signs monitoring technologies, are urgently demanded. In order to detect human’s vital signs in non-contact way, this thesis adopts a Doppler radar system as the detection tool coupled with several signal processing approaches to estimate the heart rate of human. Four core methods are seleted to capture the periodic frequency of human heart motion, including Discrete fourier transform (DFT) method, Phase energy method, Velocity strength method, and Cyclic spectrum method. According to the performance comparison in both effectiveness and efficiency, we find that the Cyclic spectrum-based method perform the best. Therefore, we select Cyclic spectrum method as the main method, together with additional pre-processing and post-filtering steps, to propose a human’s heart rate detection algorithm, which can accurately determine if a human’s heart motion exist or not. This study further develops a MATLAB GUI interface, and designs some scenario experiments to verify the reliability of our algorithm. For the performance evaluation,the GUI can output the accuracies and matching rates of the detection results once the groundtruth and reference information are available. Through the experiments conducted on real data collected by the Doppler radar, it can be proved that the proposed algorithm can reliably detect human’s heart rate when he or she stays in a stationary condition.
Chen, Kuan-Yi, and 陳冠伊. "A Premature Ventricular Contraction (PVC) Detection Scheme Based on Heart Rate Variability (HRV) Statistics." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/54808895333661762857.
Повний текст джерела國立中正大學
通訊工程研究所
100
With the rapid development of science and technology, people get more pressure from their daily lives. An important sign of being unhealthy is having heart arrhythmia. Diagnosis for the arrhythmia is important technique to saving people's life. In particular, people's heart beats are affected by autonomic nervous system and physiological hormone. The Heart Rate Variability (HRV) is used to measure the changes of the heart beat rates, and we can study the strength of autonomic nervous system by analyzing it. The database of arrhythmia used in this thesis is from MIT-BIH. We also applied the Cubic Spline interpolation to derive the HRV parameters. The Statistical Product and Service Solutions (SPSS) is used to analyze the relation between parameters of HRV and a typical arrhythmia called Premature Ventricular Contraction (PVC). Results showed that the very low frequency power (VLFP), low frequency power(LFP), high frequency power(HFP) in HRV can be used to determine the PVC arrhythmia.
Choi, Jongyoon. "Minimally-invasive Wearable Sensors and Data Processing Methods for Mental Stress Detection." Thesis, 2011. http://hdl.handle.net/1969.1/ETD-TAMU-2011-12-10674.
Повний текст джерелаYang, Shin-Fong, and 楊昕峰. "A New Heart Rate Detection Method from PPG Signal of Wearable Device Using Adaptive Filter." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/97653906433632225045.
Повний текст джерела國立中興大學
資訊科學與工程學系
105
Physical exercise plays a vital role in people’s life and has a great relationship with the growth of muscle and bones in the Adolescence. If we can develop good exercise habits during teenage years, it’s positive effect for both physical and mental. So we developed vital signal device to monitor health, helping the growth of teenager. In this work, we consider the convenience and comfort for the subject, using Heart rate monitoring from wrist-type photoplethysmographic(PPG). Wirelessing to the computer and measure young children photoplethysmographic(PPG) signals in the movement statement. We also used the Short Time Fourier Transform (STFT) and time domain methods to calculate heart rate. Previous methods for detection in high-noise situations can’t be effectively detection heart rate. In this paper, we propose a robust algorithm to detect the PPG peak under big motion artifact conditions. In the proposed algorithm, an adaptive threshold can cutoff the noise, an find peak method and the best peak method can make sure true peaks and eliminates fake peaks and error peaks from the adaptive filter PPG signal The result show that accuracy of calculation heart rate is higher than others. We use sensitivity, Positive predictivity, Failed detection rate to evaluate methods, also in a state of motion and comparison of multi data.
Hsieh, Cheng-Han, and 謝政翰. "An Electrocardiogram Signal Monitoring System with Heart Rate Detection and Energy Harvesting for Vehicle Driver." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/u6v4wj.
Повний текст джерела國立中正大學
電機工程研究所
103
An Electrocardiogram (ECG) signal monitoring system with heart rate detection and energy harvesting based on smart phone for vehicle driver is proposed. There are four parts in this proposed system. The first part includes the proposed high resolution and low power analog front-end chip to implement the bio-signal sensing circuits (BSC). In the second part, a digital signal processor (DSP) with high recognition rate QRS detection algorithm has been proposed. The third part is the power management with energy harvesting from smart phone. It provides the stable supply voltage to BSC and the power conversion efficiency (PCE) of the proposed rectifier is more than 85%. The last part realizes a data record and heart rate variability (HRV) analysis interface based on Android. The BSC sensing the bio-signal of vehicle driver from conductive fabric on steering wheel. The resolution of BSC is higher than 10 bits. The output signal of BSC can be processed by a wavelet-based QRS detection algorithm and count the R-R interval value. The algorithm which is verified with data from MIT/BIH Arrhythmia Database achieves a sensitivity of 99.68% and a positive predictability of 99.64%. Most of chips are fabricated in TSMC 0.18 μm standard CMOS process.
Luo, Hua-I., and 羅華義. "Embedded System Implementation of Drowsiness Detection Based on Frequency Domain Analysis of Heart Rate Variability." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/05871963676824444835.
Повний текст джерела國立中興大學
電機工程學系所
100
Vehicle penetration rate rapidly increases in the word. In recent years, car accidents caused by fatigued driving and drowsy driving are raised. Driving is spiritually exhausted types of work. There are several symptom of tired drowsy driving such as awkward movements, blurred vision, trance, unresponsive…etc.. While drowsy driving happens, it accompanies with short duration sleep and losing control of driving. Drowsy driving is usually happening during high-speed driving. If the driver doesn’t take a rest or keeps spirits up, drowsy driving might cause serious traffic accidents. Generally, measuring the frequency of nod or close of eyes are the methods to judge the drowsiness state. However, the measuring information can only be gotten during drowsy condition. Hence, it is hard to measure drowsy information and to warn drowsy driver earlier. The thesis will use frequency domain analysis of heart rate variability (HRV) to detect if drowsiness state happens. This way is different than detect by external feature. It can early and exactly detect whether short duration sleep happens. It is a profitable way to prevent traffic accidents. The thesis proposes a drowsiness detection system, which is implemented by Cheetah development kit (CDK) and uses graphical user interface (GUI) in PC. It can immediately display electrocardiography (ECG) waveform and power spectral density (PSD) analysis of heart rate variability. The system based on embedded system and hardware system added HW-SW Bridge that integrates easily for all system to promote system on chip (SOC) implementation in the future.