Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 75 for “"Electrocardiogram (ECG)"”.
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A long term wearable electrocardiogram (ECG) measurement system
… on the user. A single lead, clinical grade electrocardiogram (ECG), along with 3 axes of acceleration are recorded while a user wearing the device carries out his/her daily activities. The monitor itself consists of a central PCB that contains an electrode and the majority of the …
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A wearable heart monitor at the ear using ballistocardiogram (BCG) and electrocardiogram (ECG) with a nanowatt ECG heartbeat detection circuit
… 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 …
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Modeling, Designing and Applying Machine Learning Algorithms for Driver Drowsiness Detection
… methodology utilizes heart rate variation (HRV), electrocardiogram (ECG), and machine learning for drowsiness detection. It is apparent that a driver’s drowsiness is associated with an immediate change in heart rate, and due to the fact that Electrocardiogram (ECG) is used to detect an accurate …
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Exploring alternans characteristics of electrocardiogram for prediction of Paroxysmal Atrial Fibrillation
… Paroxysmal Atrial Fibrillation (PAF) from an Electrocardiogram (ECG). The work involved implementing an algorithm for computing alternans information for a region of ECG, applying the algorithm to derive P-wave and PQ segment alternans information, and analyzing data generated for normal and …
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Motion Artifact Reduction in Impedance Plethysmography Signal
… the problem of removing motion artifact from the electrocardiogram (ECG) and photoplethysmography (PPG) signals in the past few years. However, no such study exists for the Impedance Plethysmography (IP) signal. The IP signal can be used to monitor respiration in mobile devices. However, it is …
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Automatic feature extraction for time series analysis using deep and machine learning
… and classification for both industrial and Electrocardiogram (ECG) signals using deep learning approaches like CNNs, LSTMs and transformers etc. The analysis begins with a use case study of industrial collaboration with the lens manu- facturing industry where the process models called …
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Parallelization of ECG template-based abnormality detection
… to predict cardiac arrest, long-term study of electrocardiogram (ECG) data needs to be done to detect changes in electrical activity of diseased hearts. In the past, limitations of computing power and storage space restricted the duration of long-term studies to several days. However, with …
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Atrial Conduction and P-wave Characteristics: From histology to electrophysiology
… projection of the depolarization vector on the electrocardiogram (ECG)lead axes in three-dimentional space and reflects both right and left atrial activation. The main purpose of current thesis was to explore the internal logic between the atrial conduction properties, including intra- and …
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Monitoring transient repolarization segment morphology deviations in mouse ECG
… repolarization segment morphologies in the ECG of mice. The technology consists of hardware for signal conditioning of the electrocardiogram (ECG); software for the collection, archiving and real-time & retrospective Internet visualization of data; and an algorithm for morphology analysis of …
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Multivariate Discrimination of Emotion-Specific Autonomic Nervous System Activity
… while electrodermal activity, blood pressure and electrocardiogram (ECG) were recorded as was self-reported affect. Mean and mean successive difference of inter-beat interval were derived from the ECG. Pattern classification analysis revealed emotion-specific patterning for all emotion conditions …
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Analyzing pulse from head motions in video
… reported heart rates nearly identical to an electrocardiogram (ECG) device for all subjects and obtained similar beat length distributions for 17. In addition we obtained pulse rate from videos of the back of the head and of sleeping newborns. Initial findings also show that our method can …
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Performance optimisation through the use of compression garments and biosensors
… The second aim was to establish whether electrocardiogram (ECG) signals are affected by wearing CGs on the recovery phase. The last purpose was to investigate the relationship between brain activity and the application of CGs. Subjects randomly performed the experiments in different …
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The Clinical Nurse Leader as Outcomes Manager in the Emergency Department: Improving Door-to-ECG Time for Patients Presenting with Chest Pain
… Association guidelines recommend that a 12-lead electrocardiogram (ECG) be performed and interpreted within 10 minutes of ED arrival on all patients with symptoms suggestive of ST-segment elevation myocardial infarction (STEMI). A local community hospital was not meeting this benchmark for …
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An investigation of neural computing applied to the ambulatory monitoring of the electrocardiogram
… of achieving data reduction of the recorded Electrocardiogram (ECG) through identification and rejection of nonnal sinus rhythm so that only abnormal heart cycles shall be presented for recording. Traditional ECG classification techniques are critically assessed in terms of their suitability …
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Electrocardiogram signal processing and classification using neural network computing
Neural network computing is applied into medical electrocardiogram signal processing, classification and diagnosis. The electrocardiogram (ECG) is the measurement of the electrical activity of the heart, and it is called the language of the heart, since from which the heart function and abnormality …
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Effects of cardiac gating on fMRI of the human auditory system
… Sp02 signal vs. gating with the R-wave of the electrocardiogram (ECG). fMRI activation was routinely detected at all levels of the auditory pathway from the cochlear nucleus to the auditory cortex. Compared to ungated acquisitions, cardiac gating with the SpO2 reduced image signal variability …
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The psychophysiology of risk processing and decision making at a regional stock exchange
… response (SCR/GSR), blood volume pulse (BVP), electrocardiogram (ECG), electroencephalogram (EEG), electromyogram (EMG), and temperature (Temp)-of monetarily motivated professionals making high pressure decisions. From these signals I estimate underlying physiological features, such as heart …
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Rr Interval Estimation From An Ecg Using A Linear Discrete Kalman Filter
An electrocardiogram (ECG) is used to monitor the activity of the heart. The human heart beats seventy times on an average per minute. The rate at which a human heart beats can exhibit a periodic variation. This is known as heart rate variability (HRV). Heart rate variability is an important …
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The creation and testing of a mock functional magnetic resonance imaging facility for pain patients
… Scales to the subject, collected and displayed electrocardiogram (ECG), blood pressure (BP), and questionnaire data to the operator. In addition to these tasks, the LabVIEW program triggered the Medoc Neuro-Sensory Analyzer to begin producing warm stimuli to patient's forearm, in synchrony with …
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Acute endomyocardial disease in infants and children : the relationship between acute myocarditis and endocardial fibroelastosis
… (CTR > 0.55), and ST/T wave changes on electrocardiogram (ECG). Acute EMD was confirmed in all 20 patients who came to autopsy. A further 17 patients with insufficient clinical data had EMD at post-mortem.
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