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- 저자 : Koki Minami (검색결과 2 건)
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Koki Minami,Huimin Lu,Hyoungseop Kim,Shingo Mabu,Yasushi Hirano,Shoji Kido 제어로봇시스템학회 2019 제어로봇시스템학회 국제학술대회 논문집 Vol.2019 No.10
Auscultation of respiratory sounds is very important for discovering the respiratory disease. However, there is no quantitative evaluation method for the diagnosis of respiratory sounds until now. It is necessary to develop a system to support the diagnosis of respiratory sounds. In addition, there are few studies using dataset suitable for generating realistic classification models that can be used in clinical sites in algorithm development for automatic analysis of respiratory sounds. We describe the development of an algorithm for the automatic classification of the large-scale respiratory sound dataset used in ICBHI 2017 Challenge as containing crackles, containing wheeze, containing both, and normal. Our approach consists of two major components. Firstly, transformation of one-dimensional signals into two-dimensional time-frequency representation images using short-time Fourier transform and continuous wavelet transform. Secondly, classification of transferred images using convolutional neural networks. In this paper, we apply our proposed method to 920 respiratory sound data, and achieve score of 28[%], harmonic score of 81[%], sensitivity of 54[%] and specificity of 42[%].
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Koki Mitani,Toshiyuki Takahashi,Shinya Tokunaga,Tomoo Inoue,Ryo Kanematsu,Manabu Minami,Junya Hanakita 대한척추신경외과학회 2023 Neurospine Vol.20 No.4
Objective: The treatment of osteoporotic vertebral compression fractures (OVCFs) is based on their severity; however, an efficient prediction tool is lacking. We aimed to evaluate the validity of the osteoporotic fracture classification (OF classification) and scoring system (OF score) in predicting the treatment strategy for patients with OVCF, defined according to the Japanese criteria. Methods: We retrospectively investigated 487 consecutive patients diagnosed with vertebral body fractures between January 2018 and December 2022. Only patients with their fresh vertebral fracture episode during the study period were included. Patients were classified into 3 groups: conservative treatment, balloon kyphoplasty (BKP), and open surgery. OF classification and OF scores were assessed for each patient. Results: A total of 237 patients with OVCF were included. There were 127, 81, and 29 patients in the conservative, BKP, and open surgery groups, respectively. The OF score was significantly higher in the BKP and open surgery groups than in the conservative group (p < 0.001). Multivariate logistic regression analysis showed that antiosteoporotic drug use, OF classification, progressive deformity, neurological symptoms and mobilization were independent risk factors for operative treatment (all p < 0.001). Receiver operating characteristic analysis showed that the cutoff OF score for operative indication was 5.5, with a sensitivity of 91.9%, specificity of 56.5%, and area under the curve of 0.820 (95% confidence interval, 0.769–0.871). Conclusion: The OF score identified patients who required operative treatment with a high degree of accuracy. This is especially important for ruling out patients who definitely require operative treatment.
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