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Relevant bibliographies by topics / Wearable EEG / Dissertations / Theses

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Dissertations / Theses on the topic 'Wearable EEG'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Lovelace, Joseph A. "Ambulatory EEG Platform." University of Cincinnati / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1479816584544204.

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2

Kelly, Graham. "Development of a compact, low-cost wireless device for biopotential acquisition." VCU Scholars Compass, 2014. http://scholarscompass.vcu.edu/etd/3559.

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A low-cost circuit board design is presented, which in one embodiment is smaller than a credit card, for biopotential (EMG, ECG, or EEG) data acquisition, with a focus on EEG for brain-computer interface applications. The device combines signal conditioning, low-noise and high-resolution analog-to-digital conversion of biopotentials, user motion detection via accelerometer and gyroscope, user-programmable digital pre-processing, and data transmission via Bluetooth communications. The full development of the device to date is presented, spanning three embodiments. The device is presented both a

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Imtiaz, Syed Anas. "Low-complexity algorithms for automatic detection of sleep stages and events for use in wearable EEG systems." Thesis, Imperial College London, 2015. http://hdl.handle.net/10044/1/29459.

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Objective: Diagnosis of sleep disorders is an expensive procedure that requires performing a sleep study, known as polysomnography (PSG), in a controlled environment. This study monitors the neural, eye and muscle activity of a patient using electroencephalogram (EEG), electrooculogram (EOG) and electromyogram (EMG) signals which are then scored in to different sleep stages. Home PSG is often cited as an alternative of clinical PSG to make it more accessible, however it still requires patients to use a cumbersome system with multiple recording channels that need to be precisely placed. This th

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Banville, Hubert. "Enabling real-world EEG applications with deep learning." Electronic Thesis or Diss., université Paris-Saclay, 2022. http://www.theses.fr/2022UPASG005.

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Au cours des dernières décennies, les avancées révolutionnaires en neuroimagerie ont permis de considérablement améliorer notre compréhension du cerveau. Aujourd'hui, avec la disponibilité croissante des dispositifs personnels de neuroimagerie portables, tels que l'EEG mobile " à bas prix ", une nouvelle ère s’annonce où cette technologie n'est plus limitée aux laboratoires de recherche ou aux contextes cliniques. Les applications de l’EEG dans le " monde réel " présentent cependant leur lot de défis, de la rareté des données étiquetées à la qualité imprévisible des signaux et leur résolution

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Grosselin, Fanny. "Apprentissage neuronal par neurofeedback à l’aide d’un système EEG portable : application à la réduction du stress chez l'Homme." Electronic Thesis or Diss., Sorbonne université, 2019. https://accesdistant.sorbonne-universite.fr/login?url=https://theses-intra.sorbonne-universite.fr/2019SORUS125.pdf.

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Cette thèse porte sur la conception, l’implémentation et l’évaluation d’un système de neurofeedback EEG portable, d’aide à la gestion du stress, à destination du grand public. Un tel système permet aux utilisateurs d’apprendre à moduler leurs états mentaux par des phénomènes de plasticité cérébrale. Cependant, plusieurs facteurs peuvent compliquer cet apprentissage, comme un plus faible rapport signal sur bruit de l'EEG acquis par des électrodes sèches, la contamination par des artefacts ou encore la définition de paramètres pertinents à partir des signaux EEG. Afin d’optimiser ce retour neuro

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6

Sarraf, Niloufar. "Mapping the neural activities and affective dimensions of the ISP model: Correlates in the search exploration, formulation, and collection stages." Thesis, Queensland University of Technology, 2019. https://eprints.qut.edu.au/127009/2/Niloufar_Sarraf_Thesis.pdf.

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The affective and neurological components of information retrieval system design have increasingly become an essential part of research in human-information interaction and interactive information retrieval. These sophisticated processes are composed of not only human cognitive processes but also emotional and neuropsychological responses. This research contributes three original findings to the field of Information Science, positioned in Neuro Information Science. This experimental research 1) mapped the neurophysiological dimensions of information search processes model, 2) integrated the th

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Albaba, Adnan. "MODEL-BASED ECG ANALYSIS:TOWARDS PATIENT-SPECIFIC WEARABLE ECG MONITORING : MODEL-BASED ECG ANALYSIS:TOWARDS PATIENT-SPECIFIC WEARABLE ECG MONITORING." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-409069.

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In this thesis, model-based analysis approach is considered as a possible solution towards a patient-specific point-of-care device for the purpose of electrocardiogram monitoring. Two novel methods are proposed, tested, and quantitatively evaluated. First, a method for estimating the instantaneous heart rate using the morphologicalfeatures of one electrocardiogram beat at a time is proposed. This work is not aimed at introducing an alternative way for heart rate estimation, but rather illustrates the utility of model-basedelectrocardiogram analysis in online individualized monitoring ofthe hea

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Taji, Bahareh. "Signal Quality Assessment in Wearable ECG Devices." Thesis, Université d'Ottawa / University of Ottawa, 2019. http://hdl.handle.net/10393/38851.

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There is a current trend towards the use of wearable biomedical devices for the purpose of recording various biosignals, such as electrocardiograms (ECG). Wearable devices have different issues and challenges compared to nonwearable ones, including motion artifacts and contact characteristics related to body-conforming materials. Due to this susceptibility to noise and artifacts, signals acquired from wearable devices may lead to incorrect interpretations, including false alarms and misdiagnoses. This research addresses two challenges of wearable devices. First, it investigates the effect of a

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9

Delano, Margaret K. "A long term wearable electrocardiogram (ECG) measurement system." Thesis, Massachusetts Institute of Technology, 2012. http://hdl.handle.net/1721.1/76811.

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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2012.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Cataloged from student-submitted PDF version of thesis.<br>Includes bibliographical references (p. 101-102).<br>In this thesis, a low-power, wearable monitoring system was developed from discrete electronic components and custom PCBs. The device was designed to maximize comfort and minimize the footprint on the user. A single le

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10

He, David Da. "A wearable heart monitor at the ear using ballistocardiogram (BCG) and electrocardiogram (ECG) with a nanowatt ECG heartbeat detection circuit." Thesis, Massachusetts Institute of Technology, 2013. http://hdl.handle.net/1721.1/79221.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2013.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 132-137).<br>This work presents a wearable heart monitor at the ear that uses the ballistocardiogram (BCG) and the electrocardiogram (ECG) to extract heart rate, stroke volume, and pre-ejection period (PEP) for the application of continuous heart monitoring. Being a natural anchoring point, the ear is demonstrated as a viable location for the integrated sensing of physiological signals. The source

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11

Wang, Yishan Verfasser], Stefan [Akademischer Betreuer] [Heinen, and Steffen [Akademischer Betreuer] Leonhardt. "Low power wearable wireless ECG system for long-term homecare / Yishan Wang ; Stefan Heinen, Steffen Leonhardt." Aachen : Universitätsbibliothek der RWTH Aachen, 2016. http://d-nb.info/1156923409/34.

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Wang, Yishan [Verfasser], Stefan [Akademischer Betreuer] Heinen, and Steffen [Akademischer Betreuer] Leonhardt. "Low power wearable wireless ECG system for long-term homecare / Yishan Wang ; Stefan Heinen, Steffen Leonhardt." Aachen : Universitätsbibliothek der RWTH Aachen, 2016. http://d-nb.info/1156923409/34.

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13

Pantelopoulos, Alexandros A. "¿¿¿¿¿¿¿¿¿¿¿¿PROGNOSIS: A WEARABLE SYSTEM FOR HEALTH MONITORING OF PEOPLE AT RISK." Wright State University / OhioLINK, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=wright1284754643.

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Celik, Numan. "Wireless graphene-based electrocardiogram (ECG) sensor including multiple physiological measurement system." Thesis, Brunel University, 2017. http://bura.brunel.ac.uk/handle/2438/15698.

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In this thesis, a novel graphene (GN) based electrocardiogram (ECG) sensor is designed, constructed and tested to validate the concept of coating GN, which is a highly electrically conductive material, on Ag substrates of conventional electrodes. The background theory, design, experiments and results for the proposed GN-based ECG sensor are also presented. Due to the attractive electrical and physical characteristics of graphene, a new ECG sensor was investigated by coating GN onto itself. The main focus of this project was to examine the effect of GN on ECG monitoring and to compare its perfo

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15

CERONE, GIACINTO LUIGI. "A Wearable and Modular System for Neuromuscular System Assessment and Motor Rehabilitation." Doctoral thesis, Politecnico di Torino, 2019. http://hdl.handle.net/11583/2742544.

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Krupaviciute, Asta. "Personalised wearable cardiac sensor services for pervasive self-care." Phd thesis, INSA de Lyon, 2011. http://tel.archives-ouvertes.fr/tel-00708340.

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The aim of the thesis is to design a web services architecture that shall support the automatic determination of a personalised sensor-system, which is embedded in smart garments, and which shall be used in self-care in order to allow a profane user to record himself a personal electrocardiogram (ECG), at anytime and anywhere. The main challenge consists in the intelligent and dynamic orchestration of context-aware business services that supply the user with an optimal personalised solution, while mastering the system's complexity: context dependent user and system interactions, knowledge extr

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Eguchi, Kana. "Easy-to-Use Biosignal Monitoring: Wearable Device for Muscle Activity Measurement during Sleep in Daily Life." Doctoral thesis, Kyoto University, 2020. http://hdl.handle.net/2433/253414.

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京都大学<br>0048<br>新制・課程博士<br>博士(情報学)<br>甲第22578号<br>情博第715号<br>新制||情||123(附属図書館)<br>京都大学大学院情報学研究科社会情報学専攻<br>(主査)教授黒田知宏, 教授守屋和幸, 教授吉川正俊<br>学位規則第4条第1項該当<br>Doctor of Informatics<br>Kyoto University<br>DFAM

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Mancini, Mattia. "Development of an embedded EMG-based wristband for hand gesture recognition using machine learning algorithms." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2018. http://amslaurea.unibo.it/15259/.

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With the recent improvement of flexible electronics, wearable devices are becoming more and more non-invasive and comfortable, pervading fitness and health-care applications. Wearable devices allow unobtrusive monitoring of vital signs and physiological parameters, enabling advanced Human Machine Interaction (HMI) as well. On the other hand, battery lifetime remains a challenge especially when they are equipped with bio-medical sensors and not used as simple data logger. In this thesis, we present a flexible wristband, designed on a flexible PCB strip, for real-time EMG-based hand gesture reco

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BARONE, UMBERTO. "A new portable High Density Surface EMG Multichannel Acquisition System." Doctoral thesis, Politecnico di Torino, 2013. http://hdl.handle.net/11583/2506133.

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The research and development of biomedical instrumentation for the detection and measurement of the electrical activity generated by the human body is an innovative sector of engineering that is in continuous evolution. The biopotential measurement by non-invasive techniques is a currently booming area in research centers involved in the study of the neuromuscular system and its application fields, such as sports medicine, motor rehabilitation, development of active prostheses, occupational medicine and ergonomics. The growing need to carry out field observation and high accuracy measurements

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RANDAZZO, VINCENZO. "Novel neural approaches to data topology analysis and telemedicine." Doctoral thesis, Politecnico di Torino, 2020. http://hdl.handle.net/11583/2850610.

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Visi, Federico. "Methods and technologies for the analysis and interactive use of body movements in instrumental music performance." Thesis, University of Plymouth, 2017. http://hdl.handle.net/10026.1/8805.

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A constantly growing corpus of interdisciplinary studies support the idea that music is a complex multimodal medium that is experienced not only by means of sounds but also through body movement. From this perspective, musical instruments can be seen as technological objects coupled with a repertoire of performance gestures. This repertoire is part of an ecological knowledge shared by musicians and listeners alike. It is part of the engine that guides musical experience and has a considerable expressive potential. This thesis explores technical and conceptual issues related to the analysis and

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22

CHANG, FENG-CHING, and 張封卿. "Wearable EEG Measurement System with Feature Extraction." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/n4446g.

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碩士<br>中華大學<br>電機工程學系<br>105<br>Electroencephalogram (EEG) is the electrical signal that produces the nerve cell activity of the brain. Traditionally, EEG measurements have been used for medical examinations. Recently, it has been widely used in man-machine interface, emotion sensing and sleep quality evaluation. According to the relevant studies, the α-band energy of the EEG has a higher proportion when the subject is in the relaxed state, the β-band energy of the EEG has a higher proportion when the subject is in the attentive state, and the γ-band energy of the EEG has a higher proportion wh

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Lin, Teng-Yu, and 林騰宇. "The Spectral Analysis of Wearable EEG Signal." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/433mex.

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碩士<br>義守大學<br>資訊工程學系<br>106<br>EEG have many applications in medicine, psychology, and brain-computer interfaces. In the early days, EEG were recorded through wired methods. However, with the advent of the mobile era, wireless transmission will be more conducive to the development of instant applications. In this study, the EEG original signal captured by the Bluetooth EEG sensor is transmitted wirelessly to the smart phone through Bluetooth. The smart phone synchronously transforms the received time domain original data to the frequency domain. At the same time, the time domain waveform and t

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Pinho, Francisco José da Silva. "Desenvolvimento de uma plataforma de aquisição de EEG wearable sem fios." Doctoral thesis, 2018. http://hdl.handle.net/1822/56348.

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Tese de Doutoramento em Engenharia Biomédica<br>A monitorização de pacientes com epilepsia, ou outras patologias paroxísticas, através da eletroencefalografia (EEG), tem sido considerada como uma ferramenta importante tanto para o diagnóstico e classificação como para o tratamento destas condições. Nesta Tese é apresentado um sistema de aquisição de EEG sem-fios wearable com a capacidade de monitorizar pacientes com epilepsia de forma prolongada. O sistema é composto por 32 elétrodos passivos secos, sinais com 24 bits de resolução, frequência de amostragem variável de 250 a 1000 amostr

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Wu, Ying-Chun, and 吳映君. "An Empirical Study of the Intention to Continuously Use Wearable EEG Applications." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/rmkv8p.

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Yu, Shao-Chin, and 于紹勤. "Design and Verification of Wearable Wireless 8 channels Impedance Detection EEG Acquisition System." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/2pcw2z.

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碩士<br>國立交通大學<br>影像與生醫光電研究所<br>106<br>Brain-computer interface (BCI) is a communication system that can help users interact with the outside environment. The use of electroencephalographic (EEG) signal has become the most common approach for BCI and provides a way for those disabled to communicate with outside environment. However, the most common way for traditional EEG measurement is through wet sensor, which means more preparing time include the skin preparation and the use of conductive gel are needed. But when the time passes, the conductive gel will dry up and cause the degradation of per

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Hsiao, Wei-Ta, and 蕭煒達. "Design and Verification of Novel Wearable Ultra-Low Power Wireless Micro EEG Acquisition System." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/t2qrth.

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碩士<br>國立交通大學<br>生醫工程研究所<br>103<br>The brain-computer interface (BCI) technique is a method that provides a direct communication pathway between the brain and the external worlds. However, the instruments with high measured signal quality are always heavy and huge. Thus, recording EEG trends to be a difficult task in daily life. Although there were some portable EEG systems designed for improving this situation, they aren’t enough for daily life conveniently. Therefore, we mention a wearable wireless micro EEG acquisition system. We expect to improve the availability of BCI technique used in da

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Carneiro, Manuel Francisco Reis. "Comfortable Fabric-Based Headband for Forehead EEG Monitoring." Master's thesis, 2019. http://hdl.handle.net/10316/88016.

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Dissertação de Mestrado Integrado em Engenharia Electrotécnica e de Computadores apresentada à Faculdade de Ciências e Tecnologia<br>Embora a aquisição de sinais biológicos (electromiografia, electrocardiografia, electrooculografia e electroencefalografia) seja uma tecnologia já estabelecida e bem estudada na prática clínica e em ambientes de investigação científica, os eléctrodos actualmente utilizados para interfacear com o corpo humano falham devido á falta de conforto após longos periodos de monitorização. Isto acontece principalmente porque os eletrodos são feitos de peças

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Teng, Ping-Wen, and 鄧品文. "Design and Verification of Wearable Wireless Wi-Fi Transmission 64 channels High Resolution EEG Acquisition System." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/xb23ry.

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碩士<br>國立交通大學<br>電控工程研究所<br>103<br>The brain-computer interface (BCI) technique is a method of communication between the brain and the external world. This technology had been extensively studied. However, the BCI instruments with high measured signal quality are always heavy and huge. Thus, recording EEG tends to be an inconvenience task. In recent years, a high level of system chip (System on Chip, SOC) integration and development of sensors commonly used in wireless portable devices in BCI research, but there are still not enough. With the development of neuroscience, EEG signal analysis nee

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Chang, Wan-Ting, and 張婉亭. "Applying Kano’s Model on the New Product Design - A Case Study of the Wearable EEG Device from Company C." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/7tcmsu.

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碩士<br>國立交通大學<br>管理學院工業工程與管理學程<br>105<br>Kano’s model has been widely applied to measure service quality. This study is to identify the most valuable features that indicate the overall importance of the application quality at Company C, the very first Taiwanese brand designing the product of wireless EEG system and related BCI (Brain-Computer Interface) applications. This research is conducted in two stages by adopting Kano’s model and integrating the method of Matzler & Hinterhuber to determine the quality improvement priority from eleven different applications. In order to categorize quality

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"Scheduling Neural Sensors to Estimate Brain Activity." Master's thesis, 2012. http://hdl.handle.net/2286/R.I.14853.

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abstract: Research on developing new algorithms to improve information on brain functionality and structure is ongoing. Studying neural activity through dipole source localization with electroencephalography (EEG) and magnetoencephalography (MEG) sensor measurements can lead to diagnosis and treatment of a brain disorder and can also identify the area of the brain from where the disorder has originated. Designing advanced localization algorithms that can adapt to environmental changes is considered a significant shift from manual diagnosis which is based on the knowledge and observation of the

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Araújo, Beatriz Campos Raposo Medeiros. "Drowsiness Detection Using a Headband and Artificial Neural Networks." Master's thesis, 2019. http://hdl.handle.net/10316/88133.

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Dissertação de Mestrado Integrado em Engenharia Biomédica apresentada à Faculdade de Ciências e Tecnologia<br>Ao longo dos anos, a percentagem de população com carta de condução tem crescido rapidamente e, consequentemente, também a taxa de acidentes de viação. Sonolência é uma das principais razões para acidentes rodoviários por provocar um decréscimo de perceção, concentração e controlo sobre o veículo. Por esta razão, novas técnicas para prevenção de acidentes causados devido ao cansaço do condutor têm sido exploradas como, por exemplo, a possibilidade de prever se o condutor está sonolento

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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, Zheng-Jin, and 林政嘉. "Design and Implementation of a Wearable ECG Device." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/59805920442914772077.

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碩士<br>亞東技術學院<br>資訊與通訊工程研究所<br>103<br>Nowadays' Taiwan with advances in technology, healthcare development, but declining birth rate and other factors caused by increasing age, the elderly, and the formation of a serious aging of society. The general situation is because of work or personal factor, that forms an instant diet bad habits and poor living environment, gradually accelerated cardiovascular and other diseases. If there is no immediate discovery of physical discomfort, long-term burden on the heart will, over time become serious, may cause fatal stroke or myocardial infarction. Given

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Huang, Yu-Chieh, and 黃于倢. "12-lead ECG Synthesis for Wearable Health Device." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/9vex38.

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碩士<br>國立交通大學<br>電信工程研究所<br>107<br>Wireless telecardiology is an active research with the goal of ubiquitous heart-care services. This work investigates two important aspects of a wearable heart-care system: ECG synthesis and Myocardial Infarction (MI) detection. We target the single-lead ECG configuration that is routinely used in wearable device. The first part of this work focuses on the patient-specific 12-lead ECG synthesis from the limb lead I ECG using a two-step procedure. In the first step, ECG synthesis of lead II and V2 from lead I is carried out by using input delay neural network (

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洪孟濤. "Noise elimination of wearable ECG module using Dual EMD." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/45621279952117634114.

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Tsai, Hsin-Hsi, and 蔡馨璽. "Collect Heart Rate Data by Wearable ECG in Exciting Activities." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/31921705081784938030.

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碩士<br>國立交通大學<br>網路工程研究所<br>104<br>The Electrocardiograph (ECG) must be measured by professional equipment in hospital or clinic in the past, which has restrict of time and place. However, in recent years, thanks to the innovation of MEMS, many companies have developed the wearable ECG which is highly portable. But until now, most of the wearable devices for physiological monitoring haven’t acquire the FDA approval, and the measured data may have some level of noise. Hence, we hope to prove if traditional QRS detection algorithm is feasible for wearable ECG data. We implement three classic QRS

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Zhang, Tin, and 張廷. "Research and Development of a Wearable Exercise ECG Collector for Integrated Gait and ECG Acquisition." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/gvn25r.

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碩士<br>國立雲林科技大學<br>資訊工程系<br>107<br>Electrocardiogram (ECG) is a common human body signal that reflects a person's physical health. However, ECG signals are particularly susceptible to noise interference during activity. Simply processing ECG signals becomes especially difficult, and many important features are easily filtered. In addition, another sensor assistance is needed to observe the change of ECG. In this study, the inertial sensor is used for auxiliary correction. In this study, A total of 10 people were collected as subjects. The distribution of subjects age is twenty to twenty -five.

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Jhuang, Jia-Wei, and 莊嘉瑋. "A Patch-sized Wearable ECG/Respiration Recording Platform with DSP Capability." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/98430914889072955977.

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碩士<br>國立清華大學<br>電子工程研究所<br>103<br>In this thesis, a healthcare platform is designed to establish a mobile telecare environment with the digital signal processing (DSP) ability. Although mobile health (mHealth) is not an innovative research topic, the improvements of wearable sensing technologies and today’s mobile devices can make such systems more consummate and powerful than before. In our platform, an electrocardiography (ECG)/respiration (RESP) prototype is developed to record single-lead ECG signal and thorax impedance variation caused by respiration of the users. The prototype weights ab

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Machado, Rafael Carvalho. "A Wearable System for Heart Failure Monitoring." Master's thesis, 2020. http://hdl.handle.net/10316/93992.

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Trabalho de Projeto do Mestrado Integrado em Engenharia Biomédica apresentado à Faculdade de Ciências e Tecnologia<br>A insuficiência cardíaca é o problema de saúde mais letal e dispendioso no nos países desenvolvidos. Neste projecto é proposto um sistema vestível para monitorização de biossinais relacionados com a insuficiência cardíaca, baseado em componentes baratose acessíveis e em software de código aberto. Recorrendo a um microcontrolador AVR comum com comunicação Bluetooth e circuitos integrados de processamento de sinais analógicos conseguiu-se adquirir, gravar e transmitir sinais de e

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Ma, Jo-Yun, and 馬若芸. "Automatic line interference detection and electrode rebalancing for wearable ECG front-end." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/mwh7tg.

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碩士<br>國立中山大學<br>電機工程學系研究所<br>106<br>To solve one of the major problems in recording biopotentials, which is the unwanted 60Hz interference produced by power line, an automatically adjusting resistors design is proposed. Three custom made electrodes composed of three copper coins covered by copper sheet, and a custom-design amplifier (ASIC) are used as a part of the recording setup. Goertzel algorithm and undersampling are implemented to detect interference. They save power compared to Fast Fourier Transform (FFT) for interference detection and a reduced sample rate from 121Hz to 80Hz. Off-the-

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Chun-TeChuang and 莊俊德. "A QRS Detection and Heartbeat Classification Method for New-Generation Wearable ECG Devices." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/5jm5qm.

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博士<br>國立成功大學<br>航空太空工程學系<br>106<br>In the new-generation wearable Electrocardiogram (ECG) devices, signal processing with low power consumption is required to transmit data when detecting dangerous rhythms and to record signals when detecting abnormal rhythms. This study proposes a real-time QRS detection and heartbeat classification method with low computational complexity while maintaining a high accuracy. The enhancement of QRS segments and restraining of P and T waves are carried out by the proposed ECG signal transformation, which also leads to the elimination of baseline wandering. In th

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LEE, RONG-CHOI, and 李榮財. "A Modified Set Partition in Hierarchical Tree Coding Scheme for Wearable Wavelet-Based ECG Data Compression System." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/v2hp2u.

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博士<br>國立高雄第一科技大學<br>工學院工程科技博士班<br>106<br>The long-term monitoring of electrocardiograms is one of the most important tasks in caring for older people. Using wearable devices incorporating low-power wireless transmission technology is the most convenient way to record long-term multi-person ECG data without affecting the daily lives of people. In response to the large amount of data involved with real-time wireless transmission and storage, ECG compression is a necessary measure, because the diagnostic features of ECG-rich heart functions include shape, magnitude, and segment time. The effects

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Rodrigues, Tiago Emanuel Pereira. "Real-time muscle-in-the-loop optimization for physical rehabilitation with an active exoskeleton: a paradigm shift." Master's thesis, 2021. http://hdl.handle.net/10773/33681.

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Assisting human locomotion with a wearable robotic orthosis is still quite challenging, largely due to the complexity of the neuromusculoskeletal system, the time-varying dynamics that accompany motor adaptation, and the uniqueness of every individual’s response to the assistance given by the robot. To this day, these devices have not met their well-known promise yet, mostly due to the fact that they are not perfectly suitable for the rehabilitation of neuropathologic patients. One of the main challenges hampering this goal still relies on the interface and co-dependency between the human and

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"Flexible, Reconfigurable and Wearable Antennas Integrated with Artificial Magnetic Conducting Surfaces." Doctoral diss., 2017. http://hdl.handle.net/2286/R.I.45935.

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abstract: Flexibility, reconfigurability and wearability technologies for antenna designs are presented, investigated and merged in this work. Prior to the design of these radiating elements, a study is conducted on several flexible substrates and how to fabricate flexible devices. Furthermore, the integration of active devices into the flexible substrates is also investigated. A new approach of designing inkjet-printed flexible reconfigurable antennas, based on the concept of printed slot elements, is proposed. An alternate technique to reconfigure the folded slot antenna is also reported. Th

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Moreira, Luís Carlos Rodrigues. "Assist-as-needed EMG-based control strategy for wearable powered assistive devices." Master's thesis, 2019. http://hdl.handle.net/1822/69984.

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Dissertação de mestrado integrado em Engenharia Biomédica (área de especialização em Eletrónica Médica)<br>Robotic-based gait rehabilitation and assistance using Wearable Powered Assistive Devices (WPADs), such as orthosis and exoskeletons, has been growing in the rehabilitation area to recover and augment the motor function of neurologically impaired subjects. These WPADs should provide a personalized assistance, since physical condition and muscular fatigue modify from patient to patient. In this field, electromyography (EMG) signals have been used to control WPADs given their ability to inf

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"Signal Processing and Machine Learning Techniques Towards Various Real-World Applications." Doctoral diss., 2018. http://hdl.handle.net/2286/R.I.51580.

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abstract: Machine learning (ML) has played an important role in several modern technological innovations and has become an important tool for researchers in various fields of interest. Besides engineering, ML techniques have started to spread across various departments of study, like health-care, medicine, diagnostics, social science, finance, economics etc. These techniques require data to train the algorithms and model a complex system and make predictions based on that model. Due to development of sophisticated sensors it has become easier to collect large volumes of data which is used to m

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Gomes, Davide Vaz. "Stretchable Skin for Biomonitoring." Master's thesis, 2017. http://hdl.handle.net/10316/83189.

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Trabalho de Projeto do Mestrado Integrado em Engenharia Biomédica apresentado à Faculdade de Ciências e Tecnologia<br>A recente área dos circuitos electrónicos deformáveis tem recebido especial atenção nos últimos anos para aplicações na área biomédica, mais especificamente na forma de dispositivos vestíveis/conformáveis com o corpo humano. A investigação de materiais deformáveis com elevada conductividade eléctrica é necessária para o desenvolvimento destes dispositivos, e novos desafios têm surgido tais como conectar este tipo de materiais a componentes electrónicos rígidos, fornecer e guard

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(10875660), Hamed Asadi. "Multi-Modal Sensing Approach for Objective Assessment of Musculoskeletal Fatigue in Complex Work." Thesis, 2021.

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<p>Surface electromyography (sEMG) has been used to monitor muscle activity and predict fatigue in the workplaces. However, objectively measuring fatigue is challenging in complex work with unpredictable work cycles, where sEMG may be influenced by the dynamically changing posture demands. The sEMG is affected by various variables and substantial change in mean power frequencies (MPF), and a decline over 8-9% is primarily considered musculoskeletal fatigue. These MPF thresholds have been frequently used, and there were limited efforts to test their appropriateness in determining musculoskeleta

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