An approach to diagnose cardiac conditions from electrocardiogram signals.

Lu, Yan."October 2010."Thesis (M.Phil.)--Chinese University of Hong Kong, 2011.Includes bibliographical references (leaves 65-68).Abstracts in English and Chinese.Abstract --- p.iAcknowledgement --- p.ivChapter 1. --- Introduction --- p.1Chapter 1.1 --- Electrocardiogram --- p.1Chapter 1.1.1 --- ECG Measurement --- p.2Chapter 1.1.2 --- Cardiac Conduction Pathway and ECG Morphology --- p.4Chapter 1.1.3 --- A Basic Clinical Approach to ECG Analysis --- p.6Chapter 1.2 --- Cardiovascular Disease --- p.7Chapter 1.3 --- Motivation --- p.9Chapter 1.4 --- Related Work --- p.10Chapter 1.5 --- Overview of Proposed Approach --- p.11Chapter 1.6 --- Thesis Outline --- p.13Chapter 2. --- ECG Signal Preprocessing --- p.14Chapter 2.1 --- ECG Model and Its Generalization --- p.14Chapter 2.1.1 --- ECG Dynamic Model --- p.14Chapter 2.1.2 --- Generalization of ECG Model --- p.15Chapter 2.2 --- Empirical Mode Decomposition --- p.17Chapter 2.3 --- Baseline Wander Removal --- p.20Chapter 2.3.1 --- Sources of Baseline Wander --- p.20Chapter 2.3.2 --- Baseline Wander Removal by EMD --- p.20Chapter 2.3.3 --- Experiments on Baseline Wander Removal --- p.21Chapter 2.4 --- ECG Denoising --- p.24Chapter 2.4.1 --- Introduction --- p.24Chapter 2.4.2 --- Instantaneous Frequency --- p.26Chapter 2.4.3 --- Problem of Direct ECG Denoising by EMD : --- p.28Chapter 2.4.4 --- Model-based Pre-filtering --- p.30Chapter 2.4.5 --- EMD Denoising Using Significance Test --- p.33Chapter 2.4.6 --- EMD Denoising using Instantaneous Frequency --- p.35Chapter 2.4.7 --- Experiments --- p.39Chapter 2.5 --- Chapter Summary --- p.44Chapter 3. --- ECG Classification --- p.45Chapter 3.1 --- Database --- p.45Chapter 3.2 --- Feature Extraction --- p.46Chapter 3.2.1 --- Feature Selection --- p.46Chapter 3.2.2 --- Feature Dimension Reduction by GDA --- p.48Chapter 3.3 --- Classification by Support Vector Machine --- p.50Chapter 3.4 --- Experiments --- p.53Chapter 3.4.1 --- Performance of Feature Reduction --- p.54Chapter 3.4.2 --- Performance of Classification --- p.57Chapter 3.4.3 --- Performance Comparison with Other Works --- p.60Chapter 3.5 --- Chapter Summary --- p.61Chapter 4. --- Conclusions --- p.63Reference --- p.6

Perception of multiple pitches: Sequential and simultaneous pitch relationships

University of Minnesota Ph.D. dissertation. January 2018. Major: Psychology. Advisor: Andrew Oxenham. 1 computer file (PDF); vi, 163 pages.The perception of pitch, a dimension of sound that is important for music perception, speech perception, and sound source segregation, is influenced by its context, both sequential and simultaneous. In music, pitch sequences form melodic contours, and simultaneous pitches form chords and harmony. A series of experiments investigated the perception of melodic contour in pitch as well as two other auditory dimensions, brightness and loudness. The results showed that subjective ratings of continuation for brightness and loudness sequences conformed to the same general contour-based expectations as pitch sequences, suggesting that melodic expectations are not unique to the dimension of pitch. Listeners with congenital amusia, however, exhibited less impairment on a short-term memory task for loudness contours than for pitch contours, suggesting a pitch-specific deficit. In a pair of experiments, priming of a familiar tonal context improved accuracy on a pitch interval discrimination task. However, the overall benefit to performance from tonal context was small, suggesting that previously reported effects of response time may mainly reflect expectancy as opposed to perceptual accuracy. In the last series of experiments, listeners accurately identified pitches in mixtures of three concurrent complex tones, despite poor peripheral resolvability. These stimuli help to dissociate two normally confounded variables in complex pitch, harmonic number and peripheral resolvability. The results were compared with outputs from two kinds of auditory models, one based on the rate-place code for pitch and the other based on the temporal code. Overall, these findings suggest that pitch perception involves bottom-up integration of both spectral and temporal information, as well as top-down effects of learning and context

IX МЕЖДУНАРОДНЫЙ КОНГРЕСС «НЕВСКИЙ РАДИОЛОГИЧЕСКИЙ ФОРУМ-2017»

Среди многочисленных конференций и съездов, проводимых ежегодно в РФ, особое место занимает Невский радиологический форум (НРФ), за 14 лет своего существования выросший из маленькой конференции в одно из самых престижных, стабильных и крупных по своим масштабам и идеологии профессиональных мероприятий года. Этот конгресс ждут, к нему готовятся, ведь предлагается совершенствующаяся год от года обширная научная и образовательная программы, охватывающая практически все разделы клинической и фундаментальной радиологии. Всего в работе НРФ-2017 приняло участие 3790 человек, представляющих 14 стран, а количество докладчиков составило чуть меньше 300. Особое внимание традиционно было уделено молодежи, имеющей возможность представить результаты своих исследований и продемонстрировать уровень профессиональной подготовки в формате олимпиады «Невские звезды». Конгесс вошел в систему НМО, и участники получили баллы. В результате родился удивительный сплав образовательных программ, управленческих решений и, конечно, научных достижений. Учитывая высокий квалификационный уровень и оригинальность докладываемых исследований, редколлегия сочла возможным опубликовать часть тщательно отобранных материалов НРФ-2017 в журнале