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 12 of 12 for “"Heart Sounds"”.
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Unsupervised segmentation of heart sounds
Digitized and recorded heart sounds contain significant diagnostic information, and are easily acquired in clinical practice. Part of a hypothetical diagnostic system is the segmentation subsystem which locates the boundaries between heartbeats. This thesis examines the design and performance of …
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Wearable Heart Sound and EKG Recorder
<p>Acute congestive heart failure is a leading cause of morbidity and mortality. Patients often undergo repeated hospitalizations with an annual cost in excess of $32B dollars. Early detection of impending acute congestion allows for pharmaceutical interdiction that prevents hospitalization, …
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Design, Characterization and Application of a Multiple Input Stethoscope Apparatus
… it can digitally capture the same important body sounds investigated with standard acoustic stethoscopes; especially heart sounds. Acoustic signal inputs from each diaphragm are converted to electrical signals through microphone pickups installed in the stethoscope connective tubing; and are …
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DIGITAL ANALYSIS OF CARDIAC ACOUSTIC SIGNALS IN CHILDREN
… tool for analysis of cardiac acoustic signals. Heart sounds and murmurs were recorded in 360 children with a single-channel device and in 15 children with a multiple-channel device. Time intervals between acoustic signals were measured. Short-time Fourier transform (STFT) analysis was used to …
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Measurement and analysis of breath sounds
… use has been proposed. Two new methods of breath sounds measurement have been studied: laser Doppler vibrometer and mobile phones. It has been shown that these two methods can find applications in breath sounds measurement, however there are some restrictions. A reliable automatic wheeze detection …
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An intelligent diagnostic system for screening newborns
… and develop an intelligent system for analyzing heart sound signals, able to support physicians in the diagnosis of heart diseases in newborns. Many studies have been conducted in recent years to automatically differentiate normal heart sounds from heart sounds with pathological murmurs using …
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Development of novel optical sensing-based digital stethoscopes and deep learning-based heart sound denoising algorithms
… digital stethoscopes and deep learning-based heart sound denoising algorithms. Cardiac auscultation is the act of listening non-invasively to the sounds of the heart. It provides insights into the mechanical activity of the heart, and the sounds produced by this activity can be recorded as a …
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In-ear Audio For Physiological Monitoring
… Specifically, we focus on three key vital signs: heart rate, respiratory rate, and stroke volume. For each of these, we develop novel sensing pipelines that leverage the unique properties of in-ear audio, including its ability to capture both heart sounds and footstep sounds. First, we study heart …
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A Comparison of Wavelet and Simplicity-Based Heart Sound and Murmur Segmentation Methods
… commonly used medical devices for diagnosing heart conditions because they are inexpensive, noninvasive, and light enough to be carried around by a clinician. Auscultation with a stethoscope requires considerable skill and experience, but the introduction of digital stethoscopes allows for the …
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Assisted auscultation : creation and visualization of high dimensional feature spaces for the detection of mitral regurgitation
Cardiac auscultation, listening to the heart using a stethoscope, often constitutes the first step in detection of common heart problems. Unfortunately, primary care physicians, who perform this initial screening, often lack the experience to correctly evaluate what they hear. False referrals are …
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Artificial Intelligence and Signal Analysis for COPD Classification: Detecting and Understanding of Respiratory Disease Severities
… and insights into the strategic handling of heart sounds in compressed sensing and reconstruction. The automatic identification of COPD severity has significant implications for personalised care, enabling tailored treatment plans and more effective management of the condition. Moreover, the …