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Ç¥ÁعøÈ£ | TTAK.KO-10.1077 | ±¸Ç¥ÁعøÈ£ | |
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Á¦°³Á¤ÀÏ | 2018-12-19 | ÃÑÆäÀÌÁö | 15 |
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¿µ¹®Ç¥Áظí | Representation Method of Medical Signal Data for Machine Learning | ||
Çѱ۳»¿ë¿ä¾à | ÀÌ Ç¥ÁØÀº ´Ù¾çÇÑ Æ÷¸ËÀÇ ½Ã±×³Î ÇüÅÂÀÇ ½ÅÈ£ µ¥ÀÌÅ͸¦ ±â°è ÇнÀ¿¡ È°¿ëÇϱ⠽±µµ·Ï Àüó¸® ¹× ±â°è ÇнÀ¿¡ ÀÌ¿ëÇÒ ¼ö ÀÖ´Â ÁÖ¼®À» Á¦°øÇÑ´Ù. ÁÖ¼®Àº ½ÅÈ£ÀÇ ±¸°£¿¡ ´ëÇÑ ¿µ¿ª°ú, ƯÁ¤ ±¸°£¿¡ ´ëÇÑ ¼³¸í µîÀ» Æ÷ÇÔÇÑ´Ù. À̸¦ ÅëÇØ, ¿©·¯ ÇüÅÂÀÇ ÀÇ·á ½ÅÈ£ µ¥ÀÌÅ͸¦ ±â°è ÇнÀ¿¡ ÀÌ¿ëÇÒ ¼ö ÀÖµµ·Ï Á¦°øÇÒ ¼ö ÀÖ´Ù. | ||
¿µ¹®³»¿ë¿ä¾à | The standard provides the annotations that can be used for preprocessing and machine learning to facilitate the use of signal data in the form of signals in various formats for machine learning. The annotation includes an area for a section of a signal, a description of a specific section, and the like. Through this, various types of medical signal data can be provided for use in machine learning. | ||
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°ü·ÃÆÄÀÏ | TTAK.KO-10.1077.pdf |
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