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26 Discrimination of abnormal breath sound by using the features of breath sound 1150313

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Abstract Discrimination of abnormal breath sound by using the features of breath sound SATO Ryo Auscultation of breath sounds is one of the most important method to examine in the scene of home nursing care If abnormal breath sound is found, it needs to be treated immediately because there is a high possibility of serious illness The system to integrate auscultatory sound is planned Nurses sends breath sound data to hospitals, and doctors diagnoses it But doctors can t diagnose a large amount of breath sound data enough This is a possibility that these problems are solved by the automatic detection system of abnormal breath sound In this paper, I have proposed the system for automatic discrimination of abnormal breath sound by using the Support Vector Machine(SVM) SVM is one of the pattern recognition algorithm and two-class classifier In proposed method, wavelet transform applies breath sound to get features quentity First, training database is built by training data with features quentity Next, classification criteria defines features quentity Finally, breath sound is discriminated normal breath sound from abnormal breath sound by classification criteria of SVM classifier As a result of the discrimination I confirmed success that discriminate actually breath sound data by using SVM classifier key words Support Vector Machine, breath sound, home nursing care, auscultation ii

1 1 11 1 12 2 2 3 21 4 22 5 221 5 3 8 31 8 32 10 33 11 331 12 332 12 333 13 334 14 34 14 341 15 342 16 343 16 344 17 35 18 36 19 iii

4 27 41 27 42 27 29 30 iv

11 2 21 3 22 4 23 7 31 8 32 9 33 10 34 12 35 15 v

31 ( ) 13 32 ( ) 14 33 16 34 ( ) 17 35 ( ) 18 36 (1) 19 37 (2) 20 38 (3) 21 39 (4) 22 310 (1) 23 311 (2) 24 312 (3) 25 313 (4) 26 vi

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22 22 [3][4] (SVM: Support Vector Machine) 1990 Vladimir N Vapnik,, 2, 2 221 D L = {(t i,x i )} (i = 1,,N) t i = { 1,+1}, x i R d (R d : d ) 23 k, w T x i +b k (21) k w b, t i = +1 w T x i +b +1 (22) t i = 1 w T x i +b 1 (23), t i (w T x i +b) 1 (24) 5

22, w w T x ρ(w,b) = min x C y=+1 w max w T x x C y= 1 w = 1 b w 1 b w = 2 w w0x+b t 0 = 0, ρ(w 0,b 0 ) = maxρ(w,b) (25) w D max 1/2, t i (w T x i +b) 1 (i = 1,,N), w w 0 = min w (26) 2 SVM, 22 0 0004, [2] d, d SVM, d SVM, 6

22 23 7

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31 1 2 SVM 3 4 5, 32 32 9

32 32,, ( 33) 33 2 [5][6] ( 250msec ) ( ) ( ), [5][6], 10

33 ( ) ( ),, 33 A-1 A-7 B-1 B-7 CD [5] CD [6],, [2] ( 36-39) A-1 A-7, B-1 B-7 33 SVM, 34 m, m 1 n = 1, n = m Leave-one-out, [4],, Leave-one-out, Leave-one-out Leave-one-out SVM 11

33 34 331 SVM, A-1 A-7 B-1 B-7 SVM 31, 57% A-3 A-6, B-5 B-7 332 A-3 A-6,,, B-4 B-6, B-5 B-7 B-5 B-7 12

33 31 ( ) (1) ( ) A-1 A-2 A-3 A-4 A-5 A-6 A-7 0680 0724 0203 0668 0658 0011 0817 0320 0276 0797 0332 0342 0989 0183 (2) ( ) B-1 B-2 B-3 B-4 B-5 B-6 B-7 0289 0291 0239 0348 0673 0421 0522 0711 0709 0761 0652 0327 0579 0478 (3)Leave-one-out 0570, [6],,, 333 A-3 A-6 Leave-one-out, 32, 13

34 32 ( ) (1) ( ) A-1 A-2 A-4 A-5 A-7 0839 0814 0788 0844 0860 0161 0186 0212 0156 0140 (2) ( ) B-1 B-2 B-3 B-4 B-5 B-6 B-7 0072 0134 0169 0066 0212 0027 0097 0928 0866 0831 0934 0788 0973 0903 (3)Leave-one-out 0864 334,,, 34, 2 C1-C5 14

34 D1-D6 35 1 6, C D, C-6, 35, ( 310-313) 341 SVM 33, 15

34 33 (1) ( ) C-1 C-2 C-3 C-4 C-5 0697 0814 0920 0591 0827 0770 0303 0186 0080 0409 0173 0230 (2) ( ) D-1 D-2 D-3 D-4 D-5 D-6 0543 0336 0513 0472 0554 0508 0488 0457 0664 0487 0528 0446 0492 0512 342 0,,,,, SVM 343 0 0002-000225, 16

34 0002-000225 SVM, 34 34 ( ) (1) ( ) A-1 A-2 A-4 A-5 A-7 0826 0829 0779 0851 0873 0174 0171 0221 0149 0127 (2) ( ) B-1 B-2 B-3 B-4 B-5 B-6 B-7 0084 0135 0175 0065 0233 0033 0086 0916 0865 0825 0935 0767 0967 0914 (3)Leave-one-out 0862, 0002-000225 35, 344, 0, SVM, 17

35 35 ( ) (1) ( ) C-1 C-2 C-3 C-4 C-5 0478 0659 0849 0353 0677 0603 0522 0341 0151 0647 0323 0397 (2) ( ) D-1 D-2 D-3 D-4 D-5 D-6 0323 0240 0309 0296 0330 0306 0300 0677 0760 0691 0704 0670 0694 0700 35 SVM,,,,,, SVM, 18

36 36 36 (1) 000000-000025 000025-000050 000050-000075 000075-000100 A-1 1164 1101 926 673 A-2 1231 1114 902 687 A-3 3135 1657 657 366 A-4 901 845 729 628 A-5 1170 1090 933 670 A-6 1927 1066 515 520 A-7 990 867 815 597 B-1 1399 1128 740 548 B-2 1438 1151 804 583 B-3 1282 1137 817 587 B-4 1602 1137 678 504 B-5 2368 1461 699 468 B-6 1648 1039 638 459 B-7 2029 1240 644 467 19

36 37 (2) 000100-000125 000125-000150 000150-000175 000175-000200 A-1 478 358 282 301 A-2 494 339 271 298 A-3 339 153 44 31 A-4 503 431 393 382 A-5 515 362 259 316 A-6 413 205 60 23 A-7 523 437 401 397 B-1 338 212 105 113 B-2 334 202 131 167 B-3 345 199 139 192 B-4 358 190 96 101 B-5 353 203 63 59 B-6 383 202 85 73 B-7 362 206 88 57 20

36 38 (3) 000200-000225 000225-000250 000250-000275 000275-000300 A-1 359 386 429 490 A-2 322 374 425 465 A-3 72 240 414 347 A-4 421 484 500 536 A-5 324 442 434 458 A-6 135 451 796 751 A-7 368 428 468 528 B-1 231 459 694 718 B-2 268 450 609 614 B-3 290 451 556 589 B-4 254 480 685 655 B-5 132 377 516 517 B-6 192 498 766 778 B-7 204 423 619 618 21

36 39 (4) 000300-000325 000325-000350 000350-000375 000375-000400 A-1 463 412 335 266 A-2 450 431 363 235 A-3 239 281 365 281 A-4 530 440 363 248 A-5 451 416 334 247 A-6 457 401 480 401 A-7 479 429 373 271 B-1 606 505 433 301 B-2 540 502 444 287 B-3 646 594 398 280 B-4 548 467 458 317 B-5 353 317 388 321 B-6 558 420 473 368 B-7 445 408 434 323 22

36 310 (1) 000000-000025 000025-000050 000050-000075 000075-000100 C-1 7901 60 0 21 C-2 6617 46 0 58 C-3 5338 8 0 88 C-4 8537 99 1 6 C-5 6618 39 0 40 D-1 8249 82 0 52 D-2 6481 96 0 293 D-3 7976 81 0 79 D-4 7549 79 2 133 D-5 8258 80 0 38 D-6 7958 92 1 70 23

36 311 (2) 000100-000125 000125-000150 000150-000175 000175-000200 C-1 91 0 108 17 C-2 214 0 279 58 C-3 300 1 478 95 C-4 14 0 25 4 C-5 187 3 303 52 D-1 97 3 9 1 D-2 405 14 7 0 D-3 165 5 4 1 D-4 252 1 9 1 D-5 110 0 12 0 D-6 149 4 15 1 24

36 312 (3) 000200-000225 000225-000250 000250-000275 000275-000300 C-1 0 0 12 1 C-2 0 0 36 12 C-3 0 0 22 11 C-4 0 0 1 0 C-5 0 0 7 3 D-1 0 1 97 42 D-2 0 3 399 388 D-3 0 0 143 100 D-4 0 4 222 167 D-5 0 0 92 38 D-6 0 1 162 110 25

36 313 (4) 000300-000325 000325-000350 000350-000375 000375-000400 C-1 0 1 81 13 C-2 0 4 251 33 C-3 0 4 352 32 C-4 0 1 19 2 C-5 0 3 231 20 D-1 0 0 96 56 D-2 3 7 347 351 D-3 0 0 146 102 D-4 0 4 208 171 D-5 0 1 95 52 D-6 1 1 130 93 26

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