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.
Results
Showing 1 to 20 of 158 for “"electrocardiogram"”.
-
Computer-aided electrocardiogram analysis
An electrocardiogram analysis package is developed in this thesis. A parabolic smoothing with pre-set threshold for attenuating effects on high frequency components is applied. The GF and operational transforms are studied and examined for their constraints, applications and flexibility. These …
-
Electrocardiogram, heart rate and temperature monitoring system
Dissertation submitted in compliance with the requirements for Masters Degree in Technology in Electrical Engineering, Technikon Natal, Durban, South Africa, 2000.
-
Optimizing electrocardiogram analysis for efficient heart condition diagnosis
This thesis introduces an innovative lead grouping strategy for efficient real-time Electrocardiography signal classification. This method uses a maximum of six leads instead of the traditional 12-lead approach, leading to significant reductions in sampling time (93.67%), data size at the data …
-
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 …
-
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 …
-
A novel entropy measure for analysis of the electrocardiogram
… extracting useful diagnostic features from the electrocardiogram with numerous studies claiming impressive results. However, the robustness and consistency of the methods employed in these studies is rarely, if ever, mentioned. Hence, we propose two new methods; a biologically motivated time …
-
A Markov chain approach to electrocardiogram modeling and analysis
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1985.
-
Design of an electrocardiogram machine using a personal computer
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1998.
-
A Multi-Processor System for the Detection of Electrocardiogram Arrhythmias
… to each patient for the purpose of electrocardiogram analysis. The functions performed by these patient-dedicated processors include digital filtering of the electrocardiogram, the detection and measurement of each heartbeat complex, and the diagnosis of arrhythmias by decision …
-
The Effects of Posture and Muscular Exercise on The Electrocardiogram
Made available in DSpace on 2014-12-04T21:57:02Z (GMT). No. of bitstreams: 1 0002230.pdf: 9779697 bytes, checksum: 17c63a832003c1b5e8ceede51fa753bb (MD5) Previous issue date: 1950
-
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 …
-
A real-time 12-lead electrocardiogram remote patient monitoring and analytics framework
… A machine learning-based framework for real-time electrocardiogram monitoring and analysis that uses edge computing and data analytics for early anomaly detection. The framework encompasses a data acquisition ECG patch with 12 leads to collect heart signals, perform on-chip processing, and …
-
Electrocardiogram-based detection of heart pathologies using nonlinear methods and machine learning
Το Ηλεκτροκαρδιογράφημα (ΗΚΓ) παραμένει το πλέον ευρέως χρησιμοποιούμενο, μη επεμβατικό διαγνωστικό εργαλείο στην καρδιολογία· ωστόσο, η ακριβής ερμηνεία του δυσχεραίνεται από τεχνουργήματα (artifacts) σήματος, θόρυβο και διακύμανση μεταξύ παρατηρητών. Τα αυτοματοποιημένα συστήματα ανάλυσης …
-
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 …
-
Digital Computer Analysis of the Mcfee Axial System Orthogonal Electrocardiogram in the Dog With Acute Cor Pulmonale
Made available in DSpace on 2014-12-11T21:33:50Z (GMT). No. of bitstreams: 1 7500379.pdf: 8200826 bytes, checksum: 1f43bc8d6a2498b1dde70ffdc44f6f03 (MD5) Previous issue date: 1974
-
The Effects of Atropine Sulfate on Flight Simulator Performance and on Respiratory-Heart Period Interactions (Human, Electrocardiogram, Organophosphorous)
Atropine sulfate is an important therapeutic agent for treating anticholinesterase toxicosis, but atropine also is a strong anticholinergic drug with side effects. Twenty volunteers received a placebo control and atropine doses of 0.5, 1.0, 2.0, and 4.0 mg/75 kg in a Latin Square double blind …
-
A comprehensive assessment of variations in electrocardiogram morphology in risk assessment of cardiovascular death post-acute coronary syndrome
… evaluates the clinical utility of the existing electrocardiogram based metric known as morphologic variability (MV). We first analyze a metric called weighted morphologic variability (WMV) which is based on assessment of beat-to-beat morphology changes in the ECG. In addition, we introduce …
Page 1 of 8