• Journal of the Korea Society of Computer and Information
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• v.18 no.8
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• pp.131-139
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• 2013

In this paper, we look into previous research in relation to each processing step for ECG diagnosis and propose detection and classification method of arrhythmia using rhythm features of ECG signal. Rhythm features for distribution of rhythm and heartbeat such as identity, regularity, etc. are extracted in feature extraction, and rhythm type is classified using rule-base constructed in advance for features of rhythm section in rhythm classification. Experimental results for all of rhythm types in the MIT-BIH arrhythmia database show detection performance of 100% for arrhythmia with only normal rhythm rule and applicability of classification for rhythm types with arrhythmia rhythm rules.

• Journal of the Korea Society of Computer and Information
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• v.18 no.9
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• pp.43-51
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• 2013

Classification result by comprehensive analysis of rhythm section and heartbeat unit makes a reliable diagnosis of heart disease possible. In this paper, based on feature-points of ECG signals, rhythm analysis for constant section and heartbeat unit is conducted using rule-based classification and SVM-based classification respectively. Rhythm types are classified using a rule base deduced from clinical materials for features of rhythm section in rule-based classification, and monotonic rhythm or major abnormality heartbeats are classified using multiple SVMs trained previously for features of heartbeat unit in SVM-based classification. Experimental results for the MIT-BIH arrhythmia database show classification ratios of 68.52% by rule-based method alone and 87.04% by fusion method of rule-based and SVM-based for 11 rhythm types. The proposed fusion method is improved by about 19% through misclassification improvement for monotonic and arrangement rhythms by SVM-based method.

• Journal of the Korean Institute of Intelligent Systems
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• v.22 no.4
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• pp.405-413
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• 2012

Low misclassification performance is significant with high classification accuracy for a reliable diagnosis of ECG signals, and diagnosing abnormal state as normal state can especially raises a deadly problem to a person in ECG test. In this paper, we propose detection and classification method of abnormal rhythm by rule-based rhythm classification reflecting clinical criteria for disease. Rule-based classification classifies rhythm types using rule-base for feature of rhythm section, and rule-base deduces decision results corresponding to professional materials of clinical and internal fields. Experimental results for the MIT-BIH arrhythmia database show that the applicability of proposed method is confirmed to classify rhythm types for normal sinus, paced, and various abnormal rhythms, especially without misclassification in detection aspect of abnormal rhythm.

• 한국HCI학회:학술대회논문집
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• 2007.02a
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• pp.268-273
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• 2007

In this paper, we present effective methods for automatic music recommendation system which automatically recommend music by signal processing technology. Conventional music recommendation system use users’ music downloading pattern, but the method does not consider acoustic characteristics of music. Sometimes, similarities between music are used to find similar music for recommendation in some method. However, the feature used for calculating similarities is not highly related to music characteristics at the system. Thus, our proposed method use high-level music characteristics such as rhythm pattern, timbre characteristics, and the lyrics. In addition, our proposed method store features of music, which individuals queried, to recommend music based on individual taste. Experiments show the proposed method find similar music more effectively than a conventional method. The experimental results also show that the proposed method could be used for real-time application since the processing time for calculating similarities between music, and recommending music are fast enough to be applicable for commercial purpose.

• IEMEK Journal of Embedded Systems and Applications
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• v.18 no.5
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• pp.217-223
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• 2023

In this paper, we propose a new model for the conditional generation of music, considering key and rhythm, fundamental elements of music. MIDI sheet music is converted into a WAV format, which is then transformed into a Mel Spectrogram using the Short-Time Fourier Transform (STFT). Using this information, key and rhythm details are classified by passing through two Convolutional Neural Networks (CNNs), and this information is again fed into the Music Transformer. The key and rhythm details are combined by differentially multiplying the weights and the embedding vectors of the MIDI events. Several experiments are conducted, including a process for determining the optimal weights. This research represents a new effort to integrate essential elements into music generation and explains the detailed structure and operating principles of the model, verifying its effects and potentials through experiments. In this study, the accuracy for rhythm classification reached 94.7%, the accuracy for key classification reached 92.1%, and the Negative Likelihood based on the weights of the embedding vector resulted in 3.01.

• Proceedings of the IEEK Conference
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• 2006.06a
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• pp.1017-1018
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• 2006

We measured EEG, extracted the feature vectors using alpha and beta rhythm from the measured EEG and pattern recognition was simulated by using the feature vector and the algorithms which are conventional LVQ and Forward only Counter Propagation Networks. And then the successful rate of pattern class of EEG data had about 76 %.

• Journal of IKEEE
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• v.24 no.1
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• pp.254-259
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• 2020

This paper is the implementation of the conversion system from image to music based on intentional synesthesia. The input image based on color, texture, and shape was converted into melodies, harmonies and rhythms of music, respectively. Depending on the histogram of colors, the melody can be selected and obtained probabilistically to form the melody. The texture in the image expressed harmony and minor key with 7 characteristics of GLCM, a statistical texture feature extraction method. Finally, the shape of the image was extracted from the edge image, and using Hough Transform, a frequency component analysis, the line components were detected to produce music by selecting the rhythm according to the distribution of angles.

• Journal of Digital Convergence
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• v.19 no.6
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• pp.273-280
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• 2021

The purpose of this study is to analyze the music of the Moombaton genre and to find out the characteristics of Jamaican music in it. I analyzed Lewis Poncy's and BTS's rhythmically, melodically and instrumentally to find the characteristics of Jamaican music. As a result, the rhythm features a Dembow rhythm and reggae rhythm derived from traditional Jamaican music. and As a feature of the melody, toasting, a unique Jamaican expression method, was used. Instrumental features include Latin American percussion, South American melodic instruments, and the use of tr-808. This study is meaningful in creating another fusion genre by finding the elements of Jamaican music in the current popular genre of EDM.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.12
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• pp.327-332
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• 2016

Sting (Gordon Sumner) is a British musician and singer-songwriter. He was the principal songwriter, lead singer, and bassist for the new wave rock band 'The Police' from 1977 to 1984, before launching a solo career in 1985. With his stylish and sophisticated sensibility and musical spectra, he achieved 100 million album sales. In this thesis, after he disbanded the group THE POLICE, his career as a solo artist with his wide variety of musical colors has been acknowledged for his reputation over more than 30 years. Therefore, I analyze 'Sting' of music included in 'Straight To My Heart' and 'Be Still My Beating Heart' in. Songs in indicate that the drum part the tunes that there is in a record doesn't break away from the basic way of music. The role of the whole rhythm division through the various percussions or can see a synthesizer than the role as the cord musical instrument that there are lots of tunes placing a great deal of weight on the role as the rhythmic musical instrument more. The unique instrument-based rhythm of the early Sting and role dispensation create a unique sound that is quite different from what the musician subsequently recorded. The feature and rhythmic characteristic, which is the arrangement that appeared outstandingly in this record, I am trying to explain about the way in which I lead the basic flow of the tune through the rhythm division of the other musical instruments which I split that is, the drum beat and break away from a rhythm from the divided general way and include a percussion.

• Journal of the Korean Society of Costume
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• v.58 no.10
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• pp.1-20
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• 2008

The purpose of this study is to analyze the formative characteristic of modern Tap dance costume according to its origin and kinds. For this purpose, the study explored the review of literature focusing on the historical back ground of Tap dance and investigated into the kinds of modern tap dance and the formative feature of the tap dance costume. Costumes of leading tap dancers in representative performances and movies are analyzed. The results are summarized as follows: The kinds of current tap dance could be categorized as three types of Jazz Tap Dance, Rhythm & Funk Tap Dance, Irish tap Dance as their development origin. The Tap dance widely distributed through the U.S. Hollywood movie, The Jazz Tap Dance costume was composed of magnificent and luxurious design applying the high fashion of the 1930s and 1950s in the male and female costumes. The U.S. Blacks' tap dance, Rhythm & Funk Tap costume had a close relation with resistant blacks' culture, and showing the type of free dressing not bound by previous tap dance dress. The Irish Tap Dance originated from Irish folk dance displayed the tap dance embroidered costume using the Irish traditional pattern. This study systemized the characteristic of the tap dance costume by kind, and explored the dress revealed at the tap dance as a symbolic system to the cultural zone where the dance is made.