╙ 10 ࿁ੱ㑆ᖱႎቇળ㩷 䊘䉴䉺䊷⊒⴫㓸㩷 ⋡ᰴ㩷㩷䋱䋮ᔃᜉᄌേ๟ᵄᢙ⸃ᨆ䈮䉋䉎㊀∝ᔃり㓚ኂఽ䈻䈱㖸ᭉ≮ᴺ䈱᦭ലᕈ䈱ᬌ⸛㩷᛬↰⌀♿ሶ䇮ᨋ↰⋥⟤䇮ᣂᎹືሶ䇮Ꮏ⮮ፏ䇮ฎ⾐ᐙᢅ䇮᧲ㇹ㆏ᄥ㩷ጊቬື䇮ᐔ᧻౏ਃ㇢䇮᫪ବ੺䇮㜞᧛᣹䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶P1㩷
㩷䋲䋮๟ㄝⅣႺᖱႎ䈱⍮ⷡ♖ᐲ䈱ะ਄䉕⋡ᜰ䈚䈢䉲䊷䊃ဳ⸅ⷡ䉟䊮䉺䊐䉢䊷䉴䈱ឭ᩺㩷ጤᧄᐘノ䇮ᣂᆄታ଻ሶ䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶P4㩷䋳䋮ᚻ✁ဳ౉ജ䉟䊮䉺䊐䉢䊷䉴䈮䉋䉎㔚േゞ䈇䈜ᠲ૞㩷ဈᏎ⨲ᄥ䇮ᣂᆄታ଻ሶ䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶P7㩷
㩷䋴䋮㪘㫇㫇㫃㫀㪺㪸㫋㫀㫆㫅㩷㪛㪼㫍㪼㫃㫆㫇㫄㪼㫅㫋㩷㪸㫅㪻㩷㪘㫅㪸㫃㫐㫊㫀㫊㩷㪽㫆㫉㩷㪟㫌㫄㪸㫅㩷㪙㫆㪻㫐㩷㪚㫆㫄㫄㫌㫅㫀㪺㪸㫋㫀㫆㫅㩷㪪㫐㫊㫋㪼㫄㩷㪢㪼㫍㫀㫅㩷㪛㪸㫉㫅㪼䇮᧛᧻㩷 ᄢ㒽䇮૒䇱ᧁ㩷 ஜ䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶P10㩷㩷䋵䋮䉸䊷䉲䊞䊦䊜䊂䉞䉝䉕೑↪䈚䈢ੱ㑆䈱ⴕേಽᨆᚻᴺ㩷⍹Ⴆብ♿䇮㪝㪸㪿㫀㫄㩷㪢㪸㫎㫊㪸㫉䇮ἑፒ⮍䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶P15㩷㩷䋶䋮♖ᴤๆ౉䈮䉋䉎ㆇേ䉴䊃䊧䉴⺃⊒ᕈ∋ഭ䈱シᷫലᨐ䈫⣖ౝ䊜䉦䊆䉵䊛㩷ဌ၂㩷 ෹⟤䇮 ᩿㩷 ␽㓷䇮ቝ૒⟤㩷 ⋿䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶P19㩷㩷䋷䋮䉡䉢䉝䊤䊑䊦䉶䊮䉰䉕↪䈇䈢㜞㦂⠪䈱ォୟน⢻ᕈ䈱ផቯ㩷⑔ኅ૒๺䇮㋈ᧁ℉ᴦ䇮⊕੗ᱜ᮸䇮㠽ዬ⋥⟤䇮┻ౝ⛗⟤䇮㏒ᧁᐽብ䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶P21㩷䋸䋮䉝䊮䊎䉣䊮䊃ⅣႺ䈮䈍䈔䉎⚻㛎ဳᒝൻቇ⠌䉕↪䈇䈢䉟䊮䉺䊤䉪䊁䉞䊑䊂䊋䉟䉴䈱೙ᓮ㩷ਛἑ㩷 ⛋຦䇮᫪ጊ㩷 ↲৻䇮ᷡᎹ㩷 ᷡ䇮ᴧየ㩷 ᱜⴕ䇮㓶ጊ㩷 ⌀ᑿ䇮ᩙේ㩷 ⡡䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶P29㩷㩷䋹䋮ὐሼ⸅⺒⺖㗴䈫ᥧ▚⺖㗴ਅ䈮䈍䈔䉎ⷞ⡬ⷡᖱႎ䈱หᤨᄌൻᤨ䈱⣖ᵴേ䈱Ყセ㩷    㕍ጊᢕ‫ޔ‬ᤐጊ෹ብ‫ޔ‬ട⮮ㆯᄥ䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶P31
㪈㪇䋮㪝㪸㫊㫋㩷 㱍Ꮺၞ䈎䉌䈱ᷓㇱ⣖ᵴേ᛽಴ᴺ䈱ᬌ⸛㩷㩷 㩷 㪘㩷㫄㪼㫋㪿㫆㪻㩷㫆㪽㩷㪼㫏㫋㫉㪸㪺㫋㫀㫅㪾㩷㫊㫌㪹㪺㫆㫉㫋㫀㪺㪸㫃㩷㫅㪼㫌㫉㪸㫃㩷㪸㪺㫋㫀㫍㫀㫋㫐㩷 㪽㫉㫆㫄㩷㪽㪸㫊㫋㩷㪸㫃㫇㪿㪸㩷㫉㪿㫐㫋㪿㫄㫊㩷㫆㪽㩷㪼㫃㪼㪺㫋㫉㫆㪼㫅㪺㪼㫇㪿㪸㫃㫆㪾㫉㪸㫄㩷    ᩿␽㓷(1)‫੹ޔ‬੗⛗⟤ሶ(2)‫ޔ‬ἑ⮮ਫℂሶ䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶P34
䋱䋱䋮ዪᚲ಄ළ䈮䉋䉎ోりᕈ᷷ᾲ䉴䊃䊧䉴✭๺䈱⣖ᯏ⢻䊈䉾䊃䊪䊷䉪㩷㩷 㩷 㪝㫌㫅㪺㫋㫀㫆㫅㪸㫃㩷㪹㫉㪸㫀㫅㩷㫅㪼㫋㫎㫆㫉㫂㩷㪽㫆㫉㩷㫉㪼㪻㫌㪺㫀㫅㪾㩷㫊㫐㫊㫋㪼㫄㫀㪺㩷㫋㪿㪼㫉㫄㪸㫃㩷㫊㫋㫉㪼㫊㫊㩷㪹㫐㩷㪺㫆㫆㫃㫀㫅㪾㩷㫃㫆㪺㪸㫃㩷㫊㫂㫀㫅㩷    ᩿␽㓷‫੹ޔ‬੗⛗⟤ሶ䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶P36

㪈㪉䋮ᔃℂቇ⊛ᬌᩏ䈱ᚑ❣䈫䉴䊃䊧䉴⠴ᕈ䈫䈱⋧㑐䈮㑐䈜䉎ၮᐙ⣖ᯏ⢻䈎䉌ⷰ䈢৻⠨ኤ㩷㩷 㩷 㩷 㪚㫆㫉㫉㪼㫃㪸㫋㫀㫆㫅㩷㪹㪼㫋㫎㪼㪼㫅㩷㫊㪺㫆㫉㪼㫊㩷㫆㪽㩷㪚㫃㫀㫅㪺㪸㫃㩷㪘㫊㫊㪼㫊㫄㪼㫅㫋㩷㪽㫆㫉㩷㪘㫋㫋㪼㫅㫋㫀㫆㫅㩷㪸㫅㪻㩷㫉㫆㪹㫌㫊㫋㫅㪼㫊㫊㩷㫋㫆㩷㪼㫄㫆㫋㫀㫆㫅㪸㫃㩷㫊㫋㫉㪼㫊㫊㩷    ੹੗⛗⟤ሶ‫ ޔ‬᩿␽㓷‫ޔ‬Ꮉ෶ᢅ↵䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶P38
㪈㪊䋮䊐䉞䉳䉦䊦䊶䉣䉪䉰䉰䉟䉵䈱䈢䉄䈱୘ੱ․ᕈኻᔕဳ㖸ᭉ䉧䉟䊄䉲䉴䊁䊛䈮㑐䈜䉎⎇ⓥ㩷    ዊ᧖ዏሶ‫ޔ‬૒‫ᧁޘ‬ผ❱‫ޔࡊ࠶ࠚࠫ࡮ࠢ࠶ࠧࠖ࠹࡮ࡦࠛࠣޔ‬ᷡᧁᐽ䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶䊶P40

ᚰᢿኚື࡟ࡼࡿ㔜⑕ᚰ㌟㞀ᐖඣ࡬ࡢ㡢ᴦ⒪ἲࡢ᭷ຠᛶࡢ᳨ウᢡ⏣┿⣖Ꮚ 1, ᯘ⏣┤⨾ 1, ᪂ᕝဴᏊ 1, ᕤ⸨ ᓫ 1, ྂ㈡ᖿᩄ 2,ᮾ㒓㐨ኴ 3, ∦ᒣ᐀ဴ 4, ᖹᯇබ୕㑻 5, ᳃ ಇ௓ 5, 㧗ᮧ ᪼ 11㛗ᓮ኱Ꮫ་ṑ⸆Ꮫ⥲ྜ◊✲⛉ 㛗ᓮ┴㛗ᓮᕷᆏᮏ⏫ 1-12-4
άỈዪᏊ኱Ꮫ㡢ᴦᏛ㒊 㛗ᓮ┴㛗ᓮᕷᮾᒣᡭ⏫ 1-50
3ࢭࣝࣇࢣ࢔⥲ྜ◊✲ᡤ ᮾி㒔᪂ᐟ༊ᜨẚᑑ 4-20-3
4
㸦ᰴ㸧R.I.E. ᮾி㒔 ༊໭㟷ᒣ 3-6-75ᅜ❧⑓㝔ᶵᵓ㛗ᓮ⑓㝔 㛗ᓮ┴㛗ᓮᕷᱜᮌ⏫ 6-412e-mail: bb5211004@cc.nagasaki-u.ac.jp
Keywords: 㡢ᴦ⒪ἲ 㔜⑕ᚰ㌟㞀ᐖඣ ᚰᢿኚືせ᪨ 㔜⑕ᚰ㌟㞀ᐖඣ(㔜ᚰඣ)࡟㡢ᴦ⒪ἲࡀከࡃᐇ᪋ࡉࢀ࡚࠸ࡿࡀࠊ㔜ᚰඣࡣ୍⯡ⓗ࡟⮬ศࡢពᛮࢆ௚ே࡟ఏ࠼ࡿࡇ࡜ࡀᅔ㞴࡛࠶ࡾࠊ᭷ຠᛶࡢホ౯ἲࡣ☜❧ࡉࢀ࡚࠸࡞࠸ࠋ⮬ᚊ⚄⤒ࡢホ౯࡟⏝࠸ࡽࢀࡿᚰᢿኚືゎᯒࡣࠊ஺ឤ⚄⤒࡜๪஺ឤ⚄⤒ࡢάᛶࣞ࣋ࣝࢆ
ᐃࡍࡿࡇ࡜ࡀ࡛ࡁࠊ㔜ᚰඣ࡟࠾࠸࡚ࡶ᭷⏝࡛࠶ࡿྍ⬟ᛶࡀ࠶ࡿࠋᡃࠎࡀ(ᰴ)R.I.E.࡜ඹ
ྠ࡛㛤Ⓨࡋ࡚ࡁࡓᑠᆺ ᐃࣔࢽࢱࣜࣥࢢ⿦⨨(M-BIT)(ᅗ 1)ࡣࠊ୕㍈ຍ㏿ᗘࠊ⾲㠃 ᗘ࡟ຍ࠼࡚ࠊᚰ㟁ᅗᶵ⬟ࢆ⏝࠸ࡓᚰᢿኚືࣔࢽࢱࣜࣥࢢࢆྍ⬟࡜ࡍࡿࠋ௒ᅇࠊM-BIT ࢆ౑ࡗࡓᚰᢿኚືゎᯒ࡟࡚㡢ᴦ⒪ἲ୰ࡢ㔜ᚰඣࡢ⮬ᚊ⚄⤒ኚ໬ࢆホ౯ࡋࠊ㡢ᴦ⒪ἲࡢ᭷
ຠᛶࢆ᳨ウࡋࡓࠋ
㔜ᚰඣ 6 ྡ(⾲ 1)ཬࡧ೺ᖖ⪅ 5 ྡࢆᑐ㇟࡜ࡋ࡚ࠊ㡢ᴦ⒪ἲ㛤ጞࡢ 150 ศ๓࠿ࡽ㡢ᴦ⒪ἲ⤊஢ᚋ 20 ศࡀ⤒㐣ࡍࡿࡲ࡛ M-BIT ࢆ⬚㒊 1 Ⅼ࡟⿦╔ࡋ ᐃࢆ⾜ࡗࡓࠋホ౯㡯┠ࡣ๪஺ឤ⚄⤒ᣦᶆ࡜ࡉࢀࡿ High-frequency(HF ್)࡜ᚰᢿᩘ࡜ࡋࡓࠋࡑࡢ⤖ᯝࠊ㔜ᚰඣ
ࡢ⑕౛ 1 ࠿ࡽ⑕౛ 4 ࡛ࠊ㡢ᴦ⒪ἲ୰ࡢ HF ್ࡣ㡢ᴦ⒪ἲ๓࡟ẚ࡭࡚᭷ព࡟ప࠿ࡗࡓ(⾲2)ࠋ㡢ᴦ⒪ἲ୰ࡶ⾲᝟ࡢ⾲ฟࡀஈࡋ࠸⑕౛ 3 ࡟࠾࠸࡚ࡶࠊ⒪ἲ୰࡟ᡭᢿᏊࢆᡴࡘ➼ࡢ཯ᛂࢆ♧ࡍ⑕౛ 1 ࡜ྠᵝ࡟㡢ᴦ⒪ἲ୰ࡢ HF ್ࡣ᭷ព࡟ప࠿ࡗࡓࡀࠊ୍᪉࡛ࠊ⑕౛ 3࡜ྠᵝ࡟ᐷࡓࡁࡾ࡛⾲᝟ࡢ⾲ฟ࡟ஈࡋ࠸⑕౛ 5 ࡢ⒪ἲ๓࡜⒪ἲ୰ࡢ HF ್࡟ኚ໬ࡣぢࡽࢀ࡞࠿ࡗࡓࠋ(ᅗ 3)ࠋ௒ᅇࡢ⤖ᯝ࠿ࡽࠊ㔜ᚰඣ࡟ᑐࡍࡿ㡢ᴦ⒪ἲ࡛ࡣࠊಶேᕪࡀ࠶
ࡿࡶࡢࡢࠊ๪஺ឤ⚄⤒ࡀᢚไࡉࢀ஺ឤ⚄⤒ඃ఩࡟࡞ࡗ࡚࠸ࡿࡇ࡜ࡀከࡃࠊ㔜ᚰඣ࡟࡜ࡗ࡚ࠊ㡢ᴦ⒪ἲࡣ⬟ືⓗ࡞ࡶࡢ࡛࠶ࡿࡇ࡜ࡀ♧၀ࡉࢀࡓࠋ

－1－௒ᚋࡢᒎᮃ
ᮏ◊✲࡟ࡼࡾࠊ㔜ᚰඣ࡟࠾ࡅࡿ㡢ᴦ⒪ἲࡢ᭷ຠᛶ࡟ࡣಶேᕪࡀ࠶ࡿࡇ࡜ࡀ♧၀ࡉࢀࡓࡀࠊᚰᢿኚືゎᯒ࡟ࡼࡗ࡚ඣ୍ேࡦ࡜ࡾ࡟࡜ࡗ࡚ࡢ᭷ຠᛶࢆᐈほⓗ࡟ホ౯࡛ࡁࡿྍ
⬟ᛶࡀ࠶ࡿࠋ௒ᚋࡣࠊᚰᢿኚືゎᯒ࡟ࡼࡿホ౯᪉ἲࡢ᭷⏝ᛶࢆ☜❧ࡍࡿࡓࡵ࡟ࠊᑐ㇟
⪅ࢆቑࡸࡍ࡜࡜ࡶ࡟ࠊඣ୍ேࡦ࡜ࡾࢆ」ᩘᅇ ᐃࡍࡿࡇ࡜ࡀᚲせ࡛࠶ࡿ࡜⪃࠼ࡿࠋᮏ◊✲ࢆ⥅⥆ࡍࡿࡇ࡜࡛ࠊಶே࡟࠶ࡗࡓ᭷ຠ࡞㡢ᴦ⒪ἲࣉࣟࢢ࣒ࣛࡢ⟇ᐃ࡟ᙺ❧ࡘࡇ࡜ࡀᮇᚅࡉࢀࡿࠋ
⑕౛

ᛶู

ᖺ㱋

デ᩿ྡ

య఩

1

⏨

26

㢌㒊እയᚋ㑇⑕

ᗙ఩

2

ዪ

24

⬻ᛶ㯞⑷

ᗙ఩

3

⏨

20

⬻ᛶ㯞⑷

௮⮩఩

4

⏨

23

࣊ࣝ࣌ࢫ⬻⅖ᚋ㑇⑕

௮⮩఩

5

ዪ

18

⬻ᛶ㯞⑷

௮⮩఩

6

ዪ

23

ࣞࣀࢵࢡࢫ࢞ࢫࢺ࢘⑕ೃ⩌௮⮩఩⾲ 1 ᑐ㇟⪅ࡢᇶᮏⓗᒓᛶ

㡢ᴦ⒪ἲ
⑕౛

๓

୰

ᚋ

1

273.9 (182.0-397.1)

135.1 (96.5-175.6)*

188.6 (126.6-240.3)

2351.5 (206.8-602.3)

194.6 (162.5-326.8)*

353.3 (255.7-468.4)

3

330.3 (233.6-449.0)

141.4 (109.5-200.4)*

144.4 (101.4-260.7)

4662.1 (311.2-1841.3)

240.1 (175.8-358.2)*

547.9 (311.7-829.8)

5

82.4 (61.8-118.6)

96.4 (72.7-113.0)

276.0 (100.9-416.0)**

6

66.8 (44.5-94.5)

56.5 (34.6-104.5)

96.5 (75.5-159.0)

⾲ 2 ⒪ἲ௓ධ࡟࠾ࡅࡿ㔜ᚰඣࡢ HF ್ࡢኚ໬್㸸୰ኸ್(25%ࢱ࢖್ࣝ-75%ࢱ࢖್ࣝ)
*p<0.01 vs. 㡢ᴦ⒪ἲ๓, **p<0.01 vs. 㡢ᴦ⒪ἲ୰

－2－ᅗ 1 M-BITᅗ 2 ⑕౛ࡈ࡜ࡢ HF ್ࡢኚ໬ 150-200 ศ࡟㡢ᴦ⒪ἲࡀ⾜ࢃࢀࡓࠋ－3－࿘㎶⎔ቃ᝟ሗࡢ▱ぬ⢭ᗘࡢྥୖࢆ┠ᣦࡋࡓࢩ࣮ࢺᆺゐぬ࢖ࣥࢱࣇ࢙࣮ࢫࡢᥦ᱌



ᒾᮏᖾ㍤ 1, ᪂ጔᐇಖᏊ 1
1୰ኸ኱Ꮫ ⌮ᕤᏛ㒊 ᮾி㒔ᩥி༊᫓᪥ 1-13-27
email: iwamoto.koki@gmail.com
Keywords: ▱ⓗ㟁ື㌴࠸ࡍ ே-ࣟ࣎ࢵࢺࢥ࣑ࣗࢽࢣ࣮ࢩࣙࣥ ᣺ືゐぬせ᪨⮬ᚊ⛣ືᶵ⬟ࢆ᭷ࡍࡿ▱ⓗ㌴࠸ࡍ࡜ேࡢ࢖ࣥࢱࣛࢡࢩࣙࣥ࡟࠾࠸࡚ࡣࠊேࡀ┤ឤⓗ࡟㟁ື㌴࠸ࡍࡢᣲືࢆゎ㔘࡛ࡁࠊࡉࡽ࡟ෆ㒊≧ែࡸḟࡢᣲືࢆண ࡛ࡁࡿࡇ࡜ࡀ㔜せ࡛࠶ࡿࠋඛ⾜◊✲࡛ࡣࠊ࿘㎶⎔ቃ᝟ሗࡢࣇ࢕࣮ࢻࣂࢵࢡ࡜ࡋ࡚ࠊ㌴࠸ࡍ㏆ഐࡢ㞀ᐖ≀᝟ሗࢆே࡟ᥦ♧ࡍࡿࢩ࣮ࢺᆺ᣺ືゐぬ࢖ࣥࢱࣇ࢙࣮ࢫ(ᅗ 1)ࢆᥦ᱌ࡋࡓࠋᮏ࢖ࣥࢱࣇ
࢙࣮ࢫࡣ㞀ᐖ≀ࡲ࡛ࡢ㊥㞳࡜᪉఩ࢆࠊࡑࢀࡒࢀ᣺ືࡢᙉᙅࠊ᣺ືࡍࡿ⟠ᡤ࡟ࡼࡾᦚ஌
⪅࡟ᥦ♧ࡍࡿࠋࡋ࠿ࡋࠊ㟼Ṇ≀య▱ぬ࡟࠾ࡅࡿ᣺ືࡢᙉᙅุᐃࠊ㏆᥋ࡍࡿ᣺ືࡢุᐃࠊ
ᕥྑྠ᫬࡟᣺ືࡍࡿሙྜࡢุᐃࡢṇ☜࡞▱ぬ࡟ࡣ⮳ࡗ࡚࠸࡞࠸ࡢࡀ⌧≧࡛࠶ࡿࠋࡑࡇ࡛ᮏ◊✲࡛ࡣࠊࢩ࣮ࢺᆺ᣺ືゐぬ࢖ࣥࢱࣇ࢙࣮ࢫࡢᨵⰋࢆ⾜࠸ࠊࡇࢀࡽࡢุᐃ
ࡢྥୖࢆᅗࡿࠋᨵⰋࡢ᪉⟇࡜ࡋ࡚ࠊ᣺ືࡢᙉᙅุᐃࡢ▱ぬ⢭ᗘࢆୖࡆࡿࡓࡵ࡟ࡣࠊᙉ
᣺ື࡜ᙅ᣺ື࡜ࡢᕪࢆᗈࡆࡿᚲせࡀ࠶ࡿ࡜⪃࠼ࡿࠋࡑࡇ࡛ࠊࡑࢀࡒࢀࡢ㒊఩ࡢ᣺ືࣔ
࣮ࢱࢆቑタࡍࡿࡇ࡜࡟ࡼࡾ᣺ື㔞ࢆ኱ࡁࡃࡋࡓࠋࡲࡓࠊ㏆᥋ࡍࡿ᣺ືࡢุᐃࠊᕥྑྠ
᫬࡟᣺ືࡍࡿሙྜࡢุᐃࡢ▱ぬ⢭ᗘࢆୖࡆࡿࡓࡵࠊ᣺ື࣮ࣔࢱࢆ㓄⨨ࡍࡿ⟠ᡤࢆㄪᩚࡋࡓࠋᨵⰋࡋࡓ᣺ືゐぬ࢖ࣥࢱࣇ࢙࣮ࢫࢆ⏝࠸▱ぬ⢭ᗘ᳨ドᐇ㦂(ᅗ 2)ࢆ⾜ࡗࡓ࡜ࡇࢁࠊ
≉ᐃࡢࣃࢱ࣮ࣥ࡟࠾࠸࡚ᙉᙅุᐃࡢṇ⟅⋡ࡀప࠸⤖ᯝ࡜࡞ࡗࡓ(⾲ 1)ࠋࡇࡢ⌮⏤࡜ࡋ࡚ࠊ㒊఩࡟ࡼࡿឤᗘࡢ㐪࠸ࠊᕪ␗ࢆぢࡘࡅࡓㄆ▱ࠊࢩ࣮ࢺ࣭㌟యࢆ௓ࡋࡓ᣺ືࡢఏ᧛
ࡀ࠶ࡿ࡜⪃࠼ࡿࠋࡇࢀࡽࡢゎỴ⟇࡜ࡋ࡚᣺ືࡢ࢟ࣕࣜࣈ࣮ࣞࢩࣙࣥ࡞࡝ࡀᣲࡆࡽࢀࡿ
ࡀࠊࡑࢀࡣಶேᕪࡸ᭹⿦ࡢ౫Ꮡࡍࡿࡓࡵ⌧ᐇⓗ࡛ࡣ࡞࠸ࠋࡑࡇ࡛ࠊ௚ࡢゐぬ่⃭ࢆ⏝࠸ࡓ࢖ࣥࢱࣇ࢙࣮ࢫࢆ᳨ウࡋࠊ࣐ࢵࢧ࣮ࢪࢡࢵࢩࣙࣥ࡟⏝࠸ࡽࢀࡿࡶࡳ⋢࡟╔┠ࡋࡓࠋࡶࡳ⋢ࡀ೫ᚰᅇ㌿ࡍࡿࡇ࡜࡟ࡼࡾᢲࡋ่⃭ࢆᐇ⌧ࡋࠊᅇ㌿㏿ᗘࢆኚ໬ࡉࡏࡿࡇ࡜ࡀ
࡛ࡁࡿࠋࡲࡓࠊ᣺ື࡜ẚ㍑ࡋ่࡚⃭ࡢఏ᧛ࡀᑡ࡞࠸ࠋࡋࡓࡀࡗ࡚ࠊ᪂ࡓ࡞ゐぬ่⃭࡜ࡋ࡚ࡶࡳ⋢࡟ࡼࡿᢲࡋゐぬ࢖ࣥࢱࣇ࢙࣮ࢫࢆᥦ᱌ࡍࡿ(ᅗ 3)ࠋ㞀ᐖ≀ࡲ࡛ࡢ㊥㞳ᥦ♧ࡣᅇ㌿㏿ᗘ࡜ࡋࠊ㏆㊥㞳ࡣ㧗㏿ࠊ㐲㊥㞳ࡣప㏿࡟タᐃࡍࡿࠋࡶࡳ⋢࡟ࡼࡿᢲࡋゐぬ࢖ࣥࢱࣇ࢙࣮ࢫࢆ⏝࠸▱ぬ⢭ᗘ᳨ドᐇ㦂ࢆ⾜ࡗࡓ⤖ᯝࠊᅇ㌿ࡢ㧗ప㏿ุᐃ࡟ࡘ࠸࡚㧗࠸ṇ⟅⋡ࢆᚓࡓ(⾲ 2)ࠋࡇࡢࡇ࡜࠿ࡽࠊ᣺ືࡢᙉᙅࡼࡾࡶࡶ
ࡳ⋢ࡢᅇ㌿㏿ᗘࡢ᪉ࡀ㊥㞳᝟ሗᥦ♧࡟ࡣຠᯝⓗ࡛࠶ࡿ࡜⪃࠼ࡽࢀࡿࠋ

௒ᚋࡢᒎᮃ௒ᚋࡢㄢ㢟࡜ࡋ࡚ࠊࡲࡎᐇᶵ࡬ࡢᦚ㍕ࡀ࠶ࡾࠊḟ࠸่࡛⃭ᙉᗘࡢㄪᩚ࡜࠸ࡗࡓ⿦⨨ࡢᨵⰋ࣭ぢ┤ࡋࡀᣲࡆࡽࢀࡿࠋࡑࡋ࡚ࠊ㉮⾜᫬࡟࠾ࡅࡿ▱ぬ⢭ᗘࡢ᳨ドࡀᚲせ࡜࡞ࡿࠋࡑࡢᚋࠊ⮬ᚊ⛣ືࣟ࣎ࢵࢺࢼࣅࢤ࣮ࢩࣙࣥࢩࢫࢸ࣒࡜⤫ྜࡋࠊ㌴࠸ࡍᦚ஌⪅࡟ᥦ♧ࡍࡿ᝟ሗ࡟ࡘ࠸᳨࡚ウࡍࡿࡇ࡜ࡀᣲࡆࡽࢀࡿࠋ

－4－ᅗ 1 ࢩ࣮ࢺᆺ᣺ືゐぬ࢖ࣥࢱࣇ࢙࣮ࢫ

(a)ࣃࢱ࣮ࣥ 1(c)ࣃࢱ࣮ࣥ 3(b)ࣃࢱ࣮ࣥ 2(d)ࣃࢱ࣮ࣥ 4ᅗ 2 㟼Ṇ▱ぬᐇ㦂ࡢ᣺ືࣃࢱ࣮ࣥ
⾲ 1 ྛࣃࢱ࣮ࣥࡢ᣺ືࡢᙉᙅุᐃࡢṇ⟅⋡ࣃࢱ࣮ࣥṇ⟅⋡[%]

1

58

2

33

3

70

4

90

඲య

61

ⓑ୸㸸ࡶࡳ⋢఩⨨ᅗ 3 ࡶࡳ⋢࡟ࡼࡿᢲࡋゐぬ࢖ࣥࢱࣇ࢙࣮ࢫ

－5－⾲ 2 ᣺ື࣭ࡶࡳ⋢࡟ࡼࡿᢲࡋゐぬ࢖ࣥࢱࣇ࢙࣮ࢫࡢ⤖ᯝࡢẚ㍑
᣺ືࡶࡳ⋢

ᙉᙅ(᣺ື)࣭㧗ప㏿(ࡶࡳ⋢)ࡢุᐃ

61%

89%

㏆᥋ࡍࡿ่⃭ࡢุᐃ

92%

100%

ᕥྑྠ᫬࡟᣺ືࡋࡓሙྜࡢุᐃ

100%

100%

－6－

ᡭ⥘ᆺධຊ࢖ࣥࢱࣇ࢙࣮ࢫ࡟ࡼࡿ㟁ື㌴࠸ࡍࡢ᧯సᆏᕳ ⲡኴ 1ࠊ᪂ጔ ᐇಖᏊ 1
1 ୰ኸ኱Ꮫ ⌮ᕤᏛ㒊 ᮾி㒔ᩥி༊᫓᪥ 1-13-27
Email:sakamaki.sota@gmail.com
Keywords: ▱ⓗ㟁ື㌴࠸ࡍࠊ᧯స࢖ࣥࢱࣇ࢙࣮ࢫࠊ⮬ᚊ⛣ືせ᪨ ⌧ᅾ㧗㱋໬ࡀ㐍ࡳࠊ㟁ື㌴࠸ࡍࡢ㟂せࡀ㧗ࡲࡗ࡚࠸ࡿࠋࡋ࠿ࡋࠊ㟁ື㌴࠸ࡍࡢ฼⏝⪅ᩘࡢቑຍ࡟క࠸ࠊ㟁ື㌴࠸ࡍ࡟ࡼࡿ஦ᨾࡢⓎ⏕௳ᩘࡀቑຍࡋ࡚࠸ࡿࠋ஦ᨾࡢせᅉࡢ
1 ࡘ࡜ࡋ࡚ࠊᦚ஌⪅ࡢㄗ᧯సࡀᣲࡆࡽࢀࡿࠋࢪࣙ࢖ࢫࢸ࢕ࢵࢡࡢࡼ࠺࡞ධຊ࢖ࣥࢱࣇ
࢙࣮ࢫࢆ⏝࠸ࡿሙྜࠊᦚ஌⪅ࡣ┠ⓗᆅ࡟฿㐩ࡍࡿࡲ࡛ࢫࢸ࢕ࢵࢡࢆഴࡅࡿ࡞࡝ࡢධຊ
᧯సࢆࡋ⥆ࡅࡿᚲせࡀ࠶ࡿࠋࡇࢀࡀ᧯స㈇ᢸ࡜࡞ࡾࠊㄗ᧯సࢆᘬࡁ㉳ࡇࡋ࡚஦ᨾ࡟ࡘ
࡞ࡀࡿሙྜࡀ࠶ࡿࠋ ࡑࡇ࡛ࠊᮏ◊✲࡛ࡣᦚ஌⪅ࡢ᧯స㈇ᢸࢆ㍍ῶࡍࡿࡇ࡜ࢆ┠ⓗ࡜ࡍࡿࠋ᪉⟇࡜ࡋ࡚ࡣࠊ
㟁ື㌴࠸ࡍ࡟⮬ᚊ⛣ືᶵ⬟ࢆᦚ㍕ࡋࠊᦚ஌⪅ࡢ᧯స࡜༠ㄪࡉࡏࡿࡇ࡜࡟ࡼࡾࠊ㠀㐃⥆ⓗ࡞ධຊ࡛┠ⓗᆅࡲ࡛ࡢ⛣ືࢆᐇ⌧ࡍࡿࡇ࡜ࢆ⪃࠼ࡿࠋ ᮏ◊✲࡛ࡣࠊ㟁ື㌴࠸ࡍࡢ⮬ᚊ⛣ືᶵ⬟࡜༠ㄪࡋ࡚ࠊ௨ୗࡢ௙⤌ࡳࢆ⪃࠼ࡿࠋᦚ஌
⪅ࡣ┠ⓗᆅ᪉ྥࢆ㟁ື㌴࠸ࡍ࡟୚࠼ࠊ㟁ື㌴࠸ࡍࡣ୚࠼ࡽࢀࡓ᪉ྥࢆ┠ⓗᆅ࡜ࡋ࡚᥎
ᐃࡍࡿࠋࡑࡢᚋࠊ┠ⓗᆅ࡬฿㐩ࡍࡿࡓࡵࡢ⤒㊰ィ⏬ࢆ⾜࠸ࠊ㟁ື㌴࠸ࡍࢆ⤒㊰㏣ᚑࡉ
ࡏࡿࡇ࡜࡛ࠊ┠ⓗᆅ࡬ࡢ⛣ືࢆᐇ⌧ࡍࡿࠋࡉࡽ࡟ࠊ⛣ື୰ࡢ೵Ṇࠊ┠ⓗᆅ᪉ྥࡢኚ᭦
ࢆ⾜࠼ࡿࡼ࠺࡟ࡍࡿࠋ ࡇࡢ࡜ࡁࠊ┠ⓗᆅ᪉ྥࠊ೵Ṇᣦ♧࡞࡝ࢆ୚࠼ࡿධຊ࢖ࣥࢱࣇ࢙࣮ࢫ࡜ࡋ࡚ࠊᅗ 1 ࡟♧ࡍᡭ⥘ᆺධຊ࢖ࣥࢱࣇ࢙࣮ࢫࢆᥦ᱌ࡍࡿࠋ≉ู࡞カ⦎࡞ࡋ࡟⡆౽࡟┠ⓗᆅ᪉ྥࡸ೵
Ṇᣦ♧ࢆ⾲⌧࡛ࡁࡿࡶࡢ࡜ࡋ࡚ࠊேࡀ㤿࡟ᣦ♧ࢆ୚࠼ࡿ㝿࡟⏝࠸ࡿᡭ⥘࡟╔┠ࡋࡓࠋேࡣᡭ⥘ 1 ᮏ࡛ࠊ㤿ࡢⓎ㐍ࠊ೵Ṇࠊ㏿ᗘࠊ⛣ື᪉ྥ࡞࡝ࡢᣦ♧ࢆ୚࠼࡚࠸ࡿࠋࡇࢀࡼ
ࡾࠊᮏ◊✲࡛ࡣேࡢ㌟యࡢᣊ᮰ᛶࡶపࡃࠊ࠿ࡘ㠀㐃⥆ⓗ࡞ᣦ♧ࢆ୚࠼ࡸࡍ࠸࢖ࣥࢱࣇ
࢙࣮ࢫ࡜ࡋ࡚ᡭ⥘ᆺධຊ࢖ࣥࢱࣇ࢙࣮ࢫࢆᥦ᱌ࡋࡓࠋ
௒ᅇࡣࠊᅗ 2 ࡟♧ࡍࢩ࣑࣮ࣗࣞࢱࢆ⏝࠸࡚ࠊᥦ᱌ࡍࡿ᧯స࢖ࣥࢱࣇ࢙࣮ࢫ࡟ࡼࡿ┠ⓗᆅ฿㐩ᐇ㦂ࢆ⾜ࡗࡓࠋࢩ࣑࣮ࣗࣞࢱୖ࡛ᣦᐃࡋࡓᆅⅬ࡟┠ⓗᆅ᪉ྥỴᐃࡢධຊࢆ⾜࠸ࠊ௬᝿ⓗ࡞⛣ືయࢆ⛣ືࡉࡏࠊ┠ⓗᆅ࡛೵Ṇࡉࡏࡿࠋࡇࡢࢩ࣑࣮ࣗࣞࢱࡢᐇ㦂⤖ᯝࢆඛ⾜◊✲ࡢ⤖ᯝ࡜ẚ㍑ࡍࡿࡇ࡜࡛ࠊᮏ᧯స࢖ࣥࢱࣇ࢙࣮ࢫࡢ᧯సᛶࢆホ౯ࡍࡿࠋᐇ㦂⤖ᯝࢆ⾲ 1ࠊᅗ 3 ࡟♧ࡍࠋᅗ 3 ࡢ⤖ᯝ࡛♧ࡍ⛣ືຠ⋡࡜ࡣࠊࢩ࣑࣮ࣗࣞࢱୖࢆ
⛣ືࡋࡓ࣐ࢫᩘࢆ᭱▷࡛┠ⓗᆅ࡟฿㐩ࡍࡿ࣐ࢫᩘ࡛㝖ࡋࡓࡶࡢ࡛࠶ࡿࠋࡇࡢᩘ್ࡀ㧗ࡃࠊධຊᅇᩘࡀᑡ࡞࠸ሙྜࠊຠ⋡ࡢࡼ࠸⛣ືࢆࡋ࡚࠸ࡿ࡜࠸࠼ࡿࠋ⤖ᯝ࡜ࡋ࡚ࡣࠊ⢭ᗘࡢ㧗࠸⛣ືࢆᐇ⌧࡛ࡁࠊඛ⾜◊✲ࡼࡾࡶⰋ࠸⤖ᯝࢆ☜ㄆ࡛ࡁࡓࠋࡇࡢ⤖ᯝ࠿ࡽࠊᐇ
ᶵ࡟⏝࠸ࡿࡇ࡜ࡀྍ⬟࡛࠶ࡿ࡜⪃࠼ࡿࠋ௒ᚋࡢᒎᮃ ᐇ㦂ࢆ㏻ࡋ࡚ࠊᥦ᱌ࡍࡿ᧯స࢖ࣥࢱࣇ࢙࣮ࢫࢆ⏝࠸࡚⢭ᗘࡢ㧗࠸⛣ືࢆᐇ⌧࡛ࡁࡿࡇ࡜ࢆ☜ㄆࡋࡓࠋ⛣ື㏿ᗘࡢㄪᩚᶵ⬟ࢆᦚ㍕ࡋࠊ⮬ᚊ⛣ືᶵ⬟ࢆ᭷ࡍࡿᐇᶵ࡬ᮏ࢖ࣥ
ࢱࣇ࢙࣮ࢫࢆ⤫ྜࡋࠊ┠ⓗᆅ࡬ࡢ฿㐩⢭ᗘࠊཬࡧ᧯సᛶ࡟ࡘ࠸࡚ࡢホ౯ࢆ⾜࠺ࡇ࡜ࡀ௒ᚋࡢㄢ㢟࡜ࡋ࡚ᣲࡆࡽࢀࡿࠋ

－7－      ᙧ≧ A                ᙧ≧ B
ᅗ 1㸬ᡭ⥘ᆺධຊ࢖ࣥࢱࣇ࢙࣮ࢫ

ᅗ 2㸬ࢩ࣑࣮ࣗࣞࢱ⏬㠃ᅗ 3㸬ᐇ㦂⤖ᯝ(ධຊ࢖ࣥࢱࣇ࢙࣮ࢫࡢ⛣ືຠ⋡)－8－⾲ 1㸬ᐇ㦂⤖ᯝ(ධຊ࢖ࣥࢱࣇ࢙࣮ࢫࡢධຊᅇᩘ)➨ 1 ㇟㝈

➨ 2 ㇟㝈

᪉ྥᣦ♧ᅇᩘ

᪕ᅇᣦ♧ᅇᩘ

᪉ྥᣦ♧ᅇᩘ

᪕ᅇᣦ♧ᅇᩘ

ᙧ≧ A

2.1

3.2

2.6

4.1

ᙧ≧ B

1.4

1.5

1.5

3.0

ඛ⾜◊✲

3.6

4.4

➨ 3 ㇟㝈

➨ 4 ㇟㝈

᪉ྥᣦ♧ᅇᩘ

᪕ᅇᣦ♧ᅇᩘ

᪉ྥᣦ♧ᅇᩘ

᪕ᅇᣦ♧ᅇᩘ

ᙧ≧ A

1.9

4.8

1.9

3.5

ᙧ≧ B

1.7

3.0

2.1

3.6

ඛ⾜◊✲

5.9

6.2

－9－

Application Development and Analysis for Human Body
Communication System
Kevin Darne, Dairoku Muramatsu, Ken SasakiGraduate School of Frontier Science, The University of Tokyo
5-1-5 Kashiwano-ha, Kashiwa-shi, Chiba 277-8563, JAPANemail: kevin@ems.k.u-tokyo.ac.jp

Keywords: Human Body Communication, Body Area Network, Electrode, Data
Transmission, Health Care System
Abstract
Human Body Communication (HBC) is expected as a new transmission method for networks
between wearable devices (e.g. Body Area Network – BAN) or for interacting with electronic objectsof Human’s daily life. A communication system like HBC bring a lot of advantages, such as a low
power consumption, a relatively low cost, good EMC features and good security level (partly becauseof the short distance transmission).
In previous studies, transmitter and receiver electrodes for HBC had been designed and optimized
by impedance matching. The communication system is safe for the human body and use a frequencyof 10 MHz for its transmissions. It is designed for low-consumption communications with small andlight devices. Simulation had been made with software to ensure the effectiveness and the safety oftransmissions.
The next step is to try out this Human Body Communication system in some real case of use. In
order to do that, we are currently designing two identical modules using this transmission system.
These two modules will allow two computers or other terminals to communicate. They will becomposed of a transmitter electrode, a receiver electrode, a microcontroller and an USB port in orderto plug it to computers, tablets or mobile phones. As this transceiver module has to consume as lesspower as possible, we chose a special microcontroller which provides a lot of way to manage and keep
power: PIC24FJ64B002. This microcontroller is also quite powerful since we will have to use it withcomplex algorithm and software sometimes during expected tests. At the time of writing this paper,
the two testing modules are not yet completed and some work is still needed.

Future plan
As previously mentioned, after finishing the design of the two transceiver modules, we expect touse them in order to test the effectiveness of this Human Body Communication system in realenvironment. For this, we will write some programs for microcontrollers, each of them for a different
case of possible use of the system. Several scenarios were selected for testing the modules: anapplication for unlocking computers and mobile devices (with an ID contained on a wearable device),
an application for transferring data between two computers, an application for accessing data of adevice trough another and an application which will manage an send data from sensors (healthcare
system simulation).
During all tests, power consumption and transmission reliability will be measured, calculated andanalyzed. Depending on the results, programs will be modified to obtain the optimal balance between
consumption and transmission reliability. Indeed, error correction techniques will probably be
relatively costly in power. Duplication of data and retransmissions, which are the main techniques toprotect against transmission errors, are to be minimized. Actually, microcontrollers must remain on
inactive, sleep or idle mode as much as possible to save battery. Moreover, the low transmission speed
also limits the amount of data to be transferred. Thus, be successful in ensuring good transmission
reliability and low power consumption could well be challenging.
－ 10 －

These two transceiver modules are able to communicate

1. Introduction(1)

Recently, Human Body Communication (HBC)
has attracted interest as a promising wireless technology
for close range communication when constructing a Body
Area Network (BAN)(2). Human body communication
uses mainly the human body and some space around the
body for signal transmission. This communication

technology consumes very little power and allows
transmission only over a limited known distance. Thus, theradiated electric field is low and it provides a relatively
secure transmission with good electromagnetic
compatibility comparing to normal wireless technology.
As Zigbee(3) communication protocol, human bodycommunication is triggered only when data is sent andwhile transmission is available. No power is lost between
two data transmissions, making of human bodycommunication a system with low-power consumption.
Interesting prospects for using human bodycommunication are wearable devices used as identity
checkers and most of all health care systems composed ofwearable sensors(4). In this last system, vital signal
collected by wearable sensors has to be transmitted byusing human body to a mobile terminal which will
monitors the user’s health condition. For such wearable
devices, low-power consumption is critical. Transmissions
errors and incorrect data at reception should also be
prevented since a person life could be at stake. Therefore,
improvement of the transmission efficiency while
maintaining low-power consumption is a key problem.
Moreover, such a system must be robust and well-tested.
In this study, we are actually designing a transceivermodule in order to test the effectiveness of a human bodycommunication system in real case of use. Electrodes weare using were designed in previous studies(5)(6). Since
simulations had already been made with these electrodes,
hardware of our system is already efficient but still needsome improvement. At the time of writing this paper, wedidn’t started yet the software part, but the final goal ofthis project is to develop and optimize programs of ourmodule for improving the reliability and efficiency oftransmissions. The low-power consumption remains also
one of our main objectives.

2. Design of the transceiver module
2.1 Role of a transceiver module
In order to be able to test our human bodycommunication system, we need two small modules which
will be plugged on different terminals (including
computers, tablet, smartphone or other mobile devices).

with each other’s through human body. They will beconnected to terminals for recovering their sent andreceived date, for analyses and other tests.
A transceiver module is mainly composed of atransmitter electrode, a receiver electrode, amicrocontroller and an USB port.
2.2 Transmitter and receiver electrodes
Electrodes of our module were designed during
previous studies(5)(6). They were optimized by impedance
matching in order to provide a good transmission at
10MHz with low-power consumption. Conclusives
simulations on a human arm were made by computer
software to validate these electrodes. Each transceivermodule will have the two types of electrodes in order to beable both to send en receive data. Figure 1 shows
simplified shapes of electrodes. The transmitter electrodewas initialy designed for a wrist-watched device so its sizeis 24mm by 24mm. However, simulation were made witha receiver of 60mm by 120mm (sized to be mounted on amobile phone). We are currently trying to lower this sizein order to facilitate our tests. The thickness of theseelectrodes is 10mm and will also be lowered if it ispossible, depending on the results of tests.

Figure 1 Transmitter and receiver outlines
2.3 USB port
Even if the transceiver module can send data using
human body communication and can work in standalone
mode (i.e. without being plugged on and monitored byanother device), we need another way to communicate
with computers and other devices. Indeed, we will want tosend data from or to computers (or mobile terminals) withthese transceiver modules. Therefore, we must haveanother way to connect the module with other IT systems.
Moreover, even in a standalone operation mode, we needto verify the effectiveness of transmissions between thetwo modules and check data transferred. We cannot use
human body communication for that since we are not sure
it is entirely reliable yet. Adding an USB port for allowing
connection with computers, tablet or mobile phones
seemed to be the best choice since almost all these sort ofterminals can use this communication protocol.
Furthermore, this is a protocol rather simple to use andrelatively fast.

－ 11 －

2.4 Microcontroller

information can then be used in addition of the ID key in

The choice of a microcontroller was also importantfor our system. Indeed, since we need to equip wearable
devices and take care of the power consumption, we needa small microcontroller with advanced features for
managing power consumption. We were also limited inour choice by the USB compliance needed for thismodule.
We finally chose a PIC microcontroller, thePIC224FJ64B002(7). This microcontroller has an operatingorder to identify the user with more security.
We will test this application by using both false andcorrect keys. System efficiency could be checkedaccording to obtained behaviors.

voltage range of 2.0V to 3.6V with a relatively low native
consumption. It allows using XLP technology (eXtremely
Low Power) which provides a lot of interesting features tolimit consumption and several selectable power
management modes: Sleep, Deep Sleep, Idle, Doze andsome Alternate Clock modes. This microcontroller also
possesses 28 pins with 15 of them available to connect
sensors or other peripherals. It is also fully compliant withUSB 2.0 OTG (On-The-Go) which allows using bothmaster mode and slave mode easily and quickly. It is
important that the host mode is supported since we willprobably need it in some of our test-scenarios. In addition
to that, the microcontroller has some RAM memory which
will be useful to store data from sensor and also enoughmemory for rather complicated and big programs. Thus,
for all its features, it seems perfectly suited for our study.

3. Expected applications and scenarios

Figure 2 Outline of the identity checker application
3.2 Transfer data between two computers
The second application we will try to implement is atransfer of some data from a computer to another. When
we say computer, it can also be tablets or mobile phones.
This application is similar to the first scenario of theidentity checker but this time we will try to send moredata. The idea is to obtain an estimate of the maximum
reachable data rate of the system while maintaining areasonable efficiency (few errors). We hope to be able toexchange some small files. It will not be possible totransfer large amount of data since the data rate will not
exceed some kbps with electrodes used.

In this section, we list and explain applications that
we hope to implement using our human bodycommunication system in a near future.
3.1 Identity checker
The first and simplest application of this HBC
system we want to experiment is an identity checker. Few
data need to be exchanged for this application and this is
why we will probably start with it. Two different scenarios
can be tested. For both of these scenarios we will want tounlock an application on a desktop or laptop computer.
One of our modules will be connected on an USB port ofthis computer.
For the first scenario, the other transceiver module
will be connected on another computer. This last computer
will know the identity key to unlock the target. It will send
it to the other computer through both transceiver modules
and human body.
For the other scenario, the second module will bework on standalone and send the identity key by itself(which can be stored in its memory or generate with somealgorithm). We can also use sensors plugged on thetransceiver module to get vital signal of the user. This

Figure 3 Outline of the data transfer application
3.3 Access and manage file from distant computerThis scenario is slightly different from the last one.
Here, we expected to access data and files of a computerfrom another. The two transceiver modules will still beconnected by USB to two different computers, tablet or
mobile terminal. No active action is needed from a user on
the side of the target computer, all will be automatic. Aninterface similar as a file explorer will permit to delete or
modify data of the targeted system from the other－ 12 －

computer. The interest could be to access data from athe system such as some sort of retransmission algorithm

mobile phone, or even a device without display, directlyfrom another computer (for instance similar as an FTP
access to a distant server). This application will be more
complicated to implement because a significant amount ofdata have to be exchanged from both sides. We will see if
the idea is feasible according to the results obtained during
the previous two scenarios.

(ARQ – Automatic Repeat Request) or self-correction
algorithm (FEC – Forward Error Correction).
However, such measures could significantly
increase power consumption. An effective compromisemust be found to balance consumption and reliability ofthe system.

3.4 Manage data from sensors
The last application is a sort of small-scale

5. Conclusion

simulation of a health care system, with only one or two
sensors. We will try to store and manage data send by
sensors with one of our transceiver module in standalone
mode (not plugged by USB to a computer). Then, data
could be sent to a mobile terminal or computer when aconnection is available (when the user touches a computeror a mobile phone equipped with our module as shown on
the Figure 4). Since we want our microcontroller to work
as less as possible in order to keep a low consumption,
analysis of the sensors data will be made by the mobile
terminal or the target computer. Simple check on thevalues can be performed by the microcontroller, but nolong or complicated computations. We will probably use awrist-watch type device equipped with a sensor for thisapplication.

For the hardware part, some size modifications are
required, particularly for the receiver electrode which is toolarge for a small wearable device. Then, programs must be
created and optimized in order to test proposed scenarios andapplications. Finally, we must try to obtain secure, robust andefficient transmissions while maintaining low power
consumption.
Moreover, we recently made some experiment with aslightly different human body transmission system and theresults were fluctuating and unstable. We just tried to transfer
some random data from a computer to another with thissystem. The transmission efficiency depended strongly on theposition of the two modules in respect with the user’s body.
The way to attach and wear the module changed completely
the reliability of the transmission. The position of the user
himself was also important (for instance sitting or standing).
We will need to consider these facts in our study. According tothese experiments, even if this system works quite differently
from ours, we will need to do some electromagnetic analysis
to explain these characteristic and to optimize our system.
This project started recently and much remains to be done.

Figure 4 Transmission between two modules

Reference

4. Transmission analysis and improvement(1)

4.1 Power consumption
During all mentioned applications and tests, acalculation of system power consumption will be made.
The power consumption of our system is critical,
especially for the last application (health care system). If
we record an excessive consumption, improvements could
be made on the software part. Indeed, a better use of
power management modes (sleep mode, doze mode,etc…) when the system does not need to be fully active
could significantly reduce the power consumed dependingon the application.
4.2 Transmission reliability
Transmission and communications errors will also
be detected during tests in order to get an estimate of theloss rate of the transmission. According to the amounts of(2)

T. G. Zimmerman: “Personal Area Networks (PAN):
Near-Field Intra-Body Communication”, M.S.
thesis, MIT Media Laboratory, 1995.
Huan-Bang Li, Kenichi Takizawa, Ryuji Kohno,“Trends and Standardization of Body Area
Network”, Proceedings of the 1st European Wireless
Technology Conference, 2008.

(3)

ZigBee Alliance© (http://www.zigbee.org/)(4)

T. Ozaki, M.Omi, C. Sugimoto, K. Shiba, K.

(5)

errors, measures will be taken to improve the reliability of－ 13 －

Naemura, H. Hosaka, K. Itao, K Sasaki,“Development of Wearable Vital Sensing Unit for
Healthcare”, Micromechatronics, Vol. 47, No. 3,
pp.12–19, 2003.
D. Muramatsu, T. Yamamoto, F. Koshiji, K. Koshiji,“Structural Design of Transmitter and Receiver
Electrodes for Improvement of Transmission
Characteristics in Human-Body Communication”,

International Conference on Electronics Packaging
(6)

(7)

2011, pp.114-119, 2011.
D. Muramatsu, T. Yamamoto, F. Koshiji, K. Koshiji,“Design of Electrode Structure for a Human-Body
Communication System Based on ImpedanceMatching”, Proceedings of Welfare, Wellbeing, Life
Support 2010, pp.412–415, 2010.
PIC224FJ64B002,
fromMicrochip’s
PIC®
Microcontrollers (http://www.microchip.com/)－ 14 －

࠰࡯ࠪࡖ࡞ࡔ࠺ࠖࠕࠍ೑↪ߒߚੱ㑆ߩⴕേಽᨆᚻᴺ
⍹Ⴆብ♿(⊒⴫⠪)1, Fahim Kawsar2, ἑፒ⮍ 1

1᧲੩ᄢቇ ↢↥ᛛⴚ⎇ⓥᚲ ᧲੩ㇺ⋡㤥඙㚤႐ 4-6-1
2
Belllabs, Alcatel-lucent Antwerp Belgium
email:

isi@mcl.iis.u-tokyo.ac.jp
Keywords: ੱ㑆ⴕേಽᨆ㧘૏⟎ᖱႎಣℂⷐᣦㄭᐕ㧘GPS ฃାᯏ߇៞タߐࠇߚ៤Ꮺဳ૏⟎ᖱႎขᓧ࠹ࡃࠗࠬ߇ᐢߊᏒ
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－ 15 －

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♖ᴤๆ౉ߦࠃࠆㆇേ⺃⊒ᕈ∋ഭシᷫലᨐߣ⣖ౝࡔࠞ࠾࠭ࡓ

ဌ၂෹⟤ 1㧘
1
2

     ᩿␽㓷 2, ቝ૒⟤⋿ 1␹ᚭᄢቇᄢቇ㒮 ଻ஜቇ⎇ⓥ⑼ ౓ᐶ⋵␹ᚭᏒ㗇⏴඙෹߇ਐ 7-10-2⁛)ᖱႎㅢା⎇ⓥᯏ᭴⣖ᖱႎㅢାⲢว⎇ⓥ࠮ࡦ࠲࡯౓ᐶ⋵␹ᚭᏒ⷏඙ጤጟ↸ጤጟ 588-2
email: bohgaki @aichi-med-u.ac.jp
Keywords: ♖ᴤ ㆇേ⺃⊒ᕈ∋ഭ ၮᐙ⣖ᯏ⢻ⷐᣦ⧐㚅ᕈើ⊒ᕈ᦭ᯏൻว‛ߢ޽ࠆ㚅ࠅ㧔♖ᴤ㧕ߪ‫∋ޔ‬ഭᗵࠍ⹺⍮ߔࠆ⣖ᯏ⢻ో૕ߦ૞↪ߒ‫ޔ‬ㅢᏱක≮ࠍ⵬ቢ࡮ઍᦧߔࠆ✭๺ක≮߿੍㒐ක≮ߣߒߡᦼᓙߐࠇߡ޿ࠆ‫⎇ᧄޕ‬ⓥߢߪ‫ޔ‬ㆇേ⺃࿃ߩਛᨔᕈ∋ഭࠍኻ⽎ߦ♖ᴤๆ౉ߩ᛫
∋ഭലᨐ߅ࠃ߮ߘߩ⣖ౝࡔࠞ࠾࠭ࡓࠍታ㛎⊛ߦᬌ⸛ߒߚ‫ޕ‬
ஜᐽߥ 20 ઍ೨ඨߩ↵ᕈߩࡏ࡜ࡦ࠹ࠖࠕߦኻߒߡ‫㉕ⷡޔ‬૞↪ࠍ᦭ߔࠆ࡟ࡕ
ࡦ࡙࡯ࠞ࡝࡮ࡠ࡯࠭ࡑ࡝࡯࡮ࡍ࠶ࡄ࡯㧔ࡊࡠ࠽ࡠࡓ␠㧕ߣᨹሶ㧔㜞⍮⋵↥㧕ߩᷙว♖ᴤ 0.6ml ࠍṢਅߒߚ✎⃿ࠍ㥦వ 5cm ߦ࿕ቯߒߡⵍ㛎⠪߇ᜬ⛯⊛ߦ♖ᴤ㧔ࠦࡦ࠻ࡠ࡯࡞㧦᳓㧕ࠍๆ౉ߢ߈ࠆࠃ߁ߦߒߚ‫ޕ‬ㆇേ⽶⩄⹜㛎ߪ‫ࠛޔ‬࡞ࠧࡔ࡯࠲ 75XL㧔ࠦࡦࡆ࠙ࠚ࡞ࡀࠬ㧔ᩣ㧕㧕ࠍ૶↪ߒ‫ޔ‬100W ߦ⸳ቯߒߚ‫ޕ‬
ㆇേ⽶⩄⹜㛎ࠍㅢߒߡ⥄⊒ᕈ⣖ᵄߩࡕ࠾࠲ࠍⴕߞߚ‫ޕ‬࿑㧝ߪ‫ޔ‬⡊㔚ᭂၮḰߩ೨㗡ㇱߩ㔚ᭂ(Fp1)ߩǩ1 ࡝࠭ࡓ㧔8-10Hz㧕߅ࠃ߮ᓟ㗡ㇱ㔚ᭂ(O1)ߩǩ2 ࡝࠭ࡓ㧔10-13Hz㧕ߩ peak-to-peak ᒝᐲߩ✭߿߆ߥᄌേࠍ♖ᴤߩ᦭ήߦߟ޿ߡᲧセߒߚ⚿ᨐߢ޽ࠆ‫♖ޕ‬ᴤߥߒߩ႐วߦߪǩ1, ǩ2 ߣ߽ߦ✭߿߆ߦᷫዋߔ
ࠆߩߦኻߒ‫♖ޔ‬ᴤ޽ࠅߩ႐วߦߪǩ1 ߩᕆỗߥૐਅߣǩ2 ߩ㜞୯⛽ᜬߩ․ᓽ
߇⹺߼ࠄࠇߚ‫ޔߦࠄߐޕ‬ǩᏪၞㄭறߩ⣖ᵄߩࠬࡍࠢ࠻࡞⸃ᨆࠍ♖ኒൻߔࠆߚ߼ fast㧔12-14Hz㧕‫ޔ‬mid㧔10-11Hz㧕‫ޔ‬low㧔8-9Hz㧕ߩਃߟߩᏪၞߢߩ⹏ଔ
ᴺࠍᣂߚߦዉ౉ߒߚ‫ޕ‬࿑ 2 ߪߎࠇࠄߩᏪၞߦኻߔࠆ♖ᴤߩ᦭ήࠍᲧセߒߚ⣖ᵄ࠻ࡐࠣ࡜ࡈߢ޽ࠆ‫♖ޕ‬ᴤߥߒߩ႐วߦߪǩslow ߇㗡ో૕ߦᐢ߇ߞߡ޿
ࠆ৻ᣇ‫♖ޔ‬ᴤ᦭ߩ႐วߦߪǩslow ߩᶖᄬߣᓟ㗡ㇱǩfast ఝ૏ߩ௑ะ߇⏕⹺ߐࠇߚ‫߅ߥޕ‬Ǫ࡝࠭ࡓ㧔15-21Hz㧕ߪ♖ᴤ޽ࠅߢఝ૏ߥૐਅ߇⹺߼ࠄࠇߚ‫ޕ‬♖ᴤߦࠃࠆ∋ഭ✭๺ߦߟ޿ߡߪ⒳‫߇⺑ߩޘ‬ឭ໒ߐࠇߡ޿ࠆ‫߇ߥߒ߆ߒޕ‬ࠄᚒ‫߇ޘ‬ೋ߼ߡႎ๔ߒߚⷡ㉕૞↪ࠍᜬߟ♖ᴤߩ∋ഭ✭๺ߩ૞↪ᯏᐨߪ᣿ࠄ
߆ߢߪߥ޿‫ޕ‬ᚒ‫㉕ⷡߪޘ‬ᕈߩᒝ޿༦ⷡೝỗߦࠃࠅ⺃⊒ߐࠇࠆ␹⚻ࡍࡊ࠴࠼㧔ࠝࠠࠪ࠻ࠪࡦ㧕߇ࡅࠬ࠲ࡒࡦ␹⚻♽߿ᑧ㜑ߩࠦ࡝ࡦ♽␹⚻ߩ߶߆⣻஥ⵍ
⬄㊁࠼࡯ࡄࡒࡦ૞േᕈ␹⚻߿㕍᢬ᩭࡁ࡞ࠕ࠼࡟࠽࡝ࡦ૞േᕈ␹⚻ࠍ⾮ᵴߔࠆ৻ᣇ‫✢❔ޔ‬ᩭߩ࠮ࡠ࠻࠾ࡦ૞േᕈ␹⚻ࠍᛥ೙ߔࠆߎߣߢ∋ഭ߇೙ᓮߐࠇ
ߚߣ⠨߃ߡ޿ࠆ‫♖ޕ‬ᴤߦࠃࠆǩfast ߩ㜞୯⛽ᜬߪߎߩ⺑ߦ⍦⋫ߒߥ޿‫ޕ‬ߥ߅ visual-analog scale(VAS)ࠍ↪޿ߚ∋ഭ࡮᳇ಽߩਥⷰ⹏ଔߢߪ∋ഭᗵߪ޽ࠆ߽ߩߩࠁߞߚࠅᗵ߇㗼⪺ߦ੣ㅴߔࠆߎߣ߇⏕⹺ߐࠇߡ޿ࠆ㧔࿑ 3㧕‫ߎޕ‬ߩࠁߞߚࠅᗵ⊒⃻ߩේ࿃ߦߪ࠮ࡠ࠻࠾ࡦ␹⚻♽ߣᚳ᩶ᩭߩᵴേߩ⋧㑐߇␜ໂߐࠇࠆ߽ߩߩ‫ߪ⚦⹦ޔ‬ਇ᣿ߢ޽ࠆ‫ޕ‬－ 19 －

੹ᓟߩዷᦸ
−∩✭๺ߩ૞↪ᯏᐨ⸃᣿ߩߚ߼‫ޔ‬⣖ౝࡎ࡞ࡕࡦ߅ࠃ߮␹⚻ᵴേߦଥࠆઍ
⻢᷹ቯࠍ฽߼ᄢ⣖↢ℂቇ⊛⎇ⓥࠕࡊࡠ࡯࠴߇੹ᓟᔅ↪ߢ޽ࠆ‫♖ޕ‬ᴤߦኻߔࠆ୘ੱᏅߦߟ޿ߡ߽ኻ⽎⠪ࠍ᜛ᄢߒᬌ⸛ߔࠆᔅⷐ߇޽ࠆ‫ޕ‬

㪊㪇

㪊㪇

㪉㪌

㪉㪌

㪉㪇

㪉㪇

㪝㫇㪈㩷㪸㪈

㪝㫇㪈㩷㪸㪈

ᧄ⎇ⓥߩ৻ㇱߪቇⴚ⎇ⓥഥᚑၮ㊄ഥᚑ㊄㧔ၮ⋚ C)‫⑼ޔ‬ቇᛛⴚᝄ⥝ᯏ᭴
JST-CREST ߩ⵬ഥࠍᓧߡታᣉߒߚ‫ޕ‬

㪈㪌

㪈㪌

㪈㪇

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㪋㪇

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1㧦ǩ *\ (2㧦ǩ *\ 
㪌㪌

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㪫㫀㫄㪼㩿㫄㫀㫅㪀㪫㫀㫄㪼㩿㫄㫀㫅㪀

♖ᴤߥߒ

♖ᴤ޽ࠅ

࿑  ♖ᴤߥߒ㧔Ꮐ㧕ߣ♖ᴤ޽ࠅ㧔ฝ㧕ߩ೨㗡ㇱǩᴤߥߒ㧔Ꮐ㧕ߣㇱ  ߣᓟ㗡ㇱߣᓟ㗡ㇱǩ ᵄߩേᘒ
㪝㪸㪸㫊㫋㩿㪈㪉㪄㪈㪈㪋㪟㫑㪀㩷

㫄㫀㪻㩿㪈㪇㪄
㪄㪈㪈㪟㫑㪀㩷㩷

㫃㫆㫎㩿㩿㪏㪄
㪄㪐㪟㪟㫑㪀㩷㪹㪼㫋㪸㩿㩿㪈㪌㪄
㪄㪉㪈㪟
㪟㫑㪀㩷

㪝㪸㪸㫊㫋㩿㪈㪉㪄㪈㪈㪋㪟㫑㪀㩷 㫄㫀㪻㩿㪈㪇㪄㪄㪈㪈㪟㫑㪀㩷㩷

㫃㫆㫎㩿㩿㪏㪄
㪄㪐㪟㪟㫑㪀㩷㪹㪼㫋㪸㩿㩿㪈㪌㪄
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࿑ 2㧚♖ᴤߥߒ㧔Ꮐ㧕߅ࠃ߮♖ᴤ޽ࠅ㧔ฝ㧕ߩ⣖ᵄࡑ࠶ࡇࡦࠣ
㪈㪅㪉ᶄᵿᶑᶒίᵏᵏḗᵏᵒᵦᶘὸ㩷

㪈
㪇㪅㪏
ᄌ 㪇㪅㪍
ൻ 㪇㪅㪋
₸ 㪇㪅㪉
㪇
㪈㪇㪇㪮
㪄㪇㪅㪉
ω౏⴫น⢻ߥ࿑⴫‫ޔ‬౮⌀ߥߤ ̪ࡕࡁࠢࡠߢߩශ೚ߣߥࠅ߹ߔ‫ޕ‬㪈㪇㪇㪮㪂♖ᴤ㪄㪇㪅㪋∋ഭ ⷡ㉕ ⥝ᅗ ᵴജ ᳇ಽ 䈾䈦 䉉䈦 ᔃ࿾䈱⪭ 䈫䈚 䈢䉍 䉋䈘
ᗵ
ᗵ
䈤ㄟ 䈢
䉂
᳇ಽ

࿑ ㆇേ⽶⩄೨ࠍၮḰߣߔࠆ♖ᴤߩ᦭ήߦࠃࠆ᳇ಽߩᄌൻ₸－ 20 －

࠙ࠚࠕ࡜ࡉ࡞࠮ࡦࠨࠍ↪޿ߚ㜞㦂⠪ߩォୟน⢻ᕈߩផቯ
⑔ኅ૒๺(⊒⴫⠪) 1㧘㋈ᧁ℉ᴦ 1㧘⊕੗ᱜ᮸ 2㧘㠽ዬ⋥⟤ 2㧘┻ౝ⛗⟤ 2㧘㏒ᧁᐽብ 2      1᧲⦼⎇ⓥ㐿⊒࠮ࡦ࠲࡯ࡅࡘ࡯ࡑࡦ࠮ࡦ࠻࡝࠶ࠢ࡜ࡏ࡜࠻࡝࡯
␹ᄹᎹ⋵ᎹፒᏒᐘ඙ዊะ᧲⦼↸㧝
2᧲⦼ᨋ㑆∛㒮
email:

sawa.fuke@toshiba.co.jp


Keywords: ᱠⴕ⸃ᨆ ࠙ࠚࠕ࡜ࡉ࡞࠮ࡦࠨ ടㅦᐲ Support Vector Machineⷐᣦ㜞㦂⠪ߩォୟ੐᡿ߪ‫⧯ޔ‬ᐕ㦂⠪ߣᲧセߒߡ㛽᛬ߥߤߩᕋᚒࠍᒁ߈⿠ߎߒ
߿ߔߊ‫ߚ߹ޔ‬ౣォୟ߳ߩᕟᔺ߆ࠄㆇേ㊂ૐਅ‫ߪߦᦝޔ‬૕ജૐਅߦ❬߇ࠅ‫ޔ‬ኢߚ߈ࠅ⁁ᘒࠍ᜗ߊ௑ะߦ޽ࠆ‫ޕ‬㜞㦂⠪⥄りߩ QOL ะ਄࡮੺⼔⠪ߩ⽶ᜂシᷫ࡮࿾ၞ߇⽶ᜂߔࠆක≮⾌߿੺⼔଻㒾ߩ೥ᷫߥߤߩߚ߼ߦ߽‫ࠅࠃޔ‬ᄙߊߩ㜞㦂⠪߇޽ࠄ߆ߓ߼ߘߩォୟ࡝ࠬࠢࠍ⹏ଔߐࠇ‫ޔ‬ㆡಾߦ੍㒐࡮࡝ࡂࡆ࡝࠹࡯࡚ࠪࡦㆇേࠍᜰ
ዉߐࠇࠆߎߣ߇ᦸ߹ߒ޿‫⎇ᧄޕ‬ⓥߢߪ‫ޔ‬⣶ㇱߦⵝ⌕ߐࠇߚടㅦᐲ࠮ࡦࠨࠍ↪޿ߡᱠⴕ㐿ᆎᓟߩㆫ⒖඙㑆ߩㆇേࠍ⸘᷹ߒ‫ߩߘޔ‬㋦⋥ᣇะᵄᒻߩ⥄Ꮖ⋧㑐㑐ᢙ߅ࠃ߮Ꮐฝᣇะᵄᒻߩᐔဋߩ․ᓽࠍ೑↪ߒߡ Support Vector Machine ߦߡ‫ޔ‬⍴ᤨ㑆ߦォୟෂ㒾ᕈࠍផቯߔࠆᚻᴺࠍឭ᩺ߔࠆ‫ޕ‬

੹ᓟߩዷᦸ
 
ᧄ⎇ⓥߢߪ‫≮ޔ‬ᴺ჻߇⥃ᐥ⃻႐ߢ೑↪ߔࠆࠬࠢ࡝࡯࠾ࡦࠣ࠷࡯࡞ߦၮߠ޿ߡ
ቯ⟵ߒߚ቟ో࡮ⷐᵈᗧ࡮ෂ㒾ߩ 3 ⟲ߩォୟෂ㒾ᕈ࡜ࡌ࡞ࠍ F ୯ 70%એ਄ߩ♖ᐲߢផቯน⢻ߥᚻᴺࠍ␜ߒߚ‫৻ޕ‬ᣇߢ‫ޔ‬ታ㓙ߦォୟ੍㒐࡮ᱠኈᡷༀߩᜰᮡߣߔࠆ
ߚ߼ߦߪ‫ࠅࠃޔ‬ㅪ⛯⊛ߥ࡜ࡌ࡞ߣߒߡផቯߢ߈ࠆߎߣ߇ᅢ߹ߒ޿‫੹ޕ‬ᓟߪ਄⸥᧦ઙਅߢߩᦝߥࠆ♖ᐲะ਄ߦะߌ‫․ޔ‬ᓽ㊂߅ࠃ߮ផቯࠕ࡞ࠧ࡝࠭ࡓߩᬌ⸛ߣ౒
ߦታ㛎ᢙࠍ㊀ߨ‫ࠅࠃޔ‬ା㗬ᕈߩ㜞޿ᚻᴺߩឭ᩺ࠍ⋡ᜰߔ‫ޕ‬－ 21 －

㧝㧚ߪߓ߼ߦ
㜞㦂⠪ߩォୟ੐᡿ߪ‫⧯ޔ‬ᐕ㦂⠪ߣᲧセߒߡ㛽᛬ߥߤߩᕋᚒࠍᒁ߈⿠ߎߒ߿ߔ
ߊ‫ߚ߹ޔ‬ౣォୟ߳ߩᕟᔺ߆ࠄㆇേ㊂ૐਅ‫ߪߦᦝޔ‬૕ജૐਅߦߟߥ߇ࠅ߿ߔߊ‫ޔ‬ኢߚ߈ࠅ⁁ᘒࠍ᜗ߊ௑ะߦ޽ࠆ‫ޕ‬ታ㓙ߦ‫ޔ‬ォୟߦࠃࠆᄢ⣽㛽㗪ㇱ㛽᛬ߪᐕ㑆 ਁઙએ਄⊒↢ߒ‫ޔ‬ᖚ⠪ߩ 㧑ߪᣂߚߦኢߚ߈ࠅ⁁ᘒߦ㒱ࠆߣ޿ࠊࠇߡ޿ࠆ  ‫ޕ‬੹ᓟᦝߥࠆ⿥㜞㦂ൻ␠ળࠍㄫ߃ࠆߦ޽ߚࠅ‫ޔ‬㜞㦂⠪⥄りߩ 31. ะ਄࡮੺⼔⠪ߩ⽶ᜂシᷫ࡮࿾ၞ߇⽶ᜂߔࠆක≮⾌߿੺⼔଻㒾ߩ೥ᷫߥߤߩߚ߼ߦ߽‫ࠅࠃޔ‬ᄙߊߩ㜞㦂⠪߇޽ࠄ߆ߓ߼ߘߩォୟ࡝ࠬࠢࠍ⹏ଔߐࠇ‫ޔ‬ㆡಾߦ੍㒐࡮࡝ࡂࡆ࡝࠹࡯
࡚ࠪࡦㆇേࠍᜰዉߐࠇࠆߎߣ߇ᦸ߹ߒ޿‫ޕ‬⃻࿷‫ޔ‬ォୟ࡝ࠬࠢߩ⹏ଔߪਥߦ∛㒮߿ォୟ੍㒐ᢎቶ╬ߢℂቇ≮ᴺ჻ߦࠃߞߡ
ታᣉߐࠇߡ߅ࠅ‫ߩߘޔ‬㓙ߩ⹏ଔ࠷࡯࡞ߩ  ߟߣߒߡ $GTI ࡃ࡜ࡦࠬ࠹ࠬ࠻  ߇ሽ࿷ߔࠆ‫ޔߪ࠻ࠬ࠹ᧄޕ‬࿑㧝ߦ␜ߔࠃ߁ߥ  ⴕὑߢ᭴ᚑߐࠇߡ߅ࠅ‫ޔ‬ᚲⷐ⠴ਭᤨ㑆࡮〒㔌ߩⷰὐ߆ࠄⵍ㛎⠪ߩࡃ࡜ࡦࠬ⢻ജߦኻߒߡว⸘ 㨪 ὐߩὐᢙࠍઃ
ਈߔࠆ߽ߩߢ޽ࠆ‫ޕ‬ታ㓙ߦ‫ߩߘޔ‬ὐᢙߪᱠⴕ⢻ജ߿ォୟ⏕₸ߣ᦭ᗧߥ㑐ㅪ߇ሽ࿷ߔࠆߎߣ   ߇ᣢሽߩ⎇ⓥߢ߽ႎ๔ߐࠇߡ޿ࠆ‫ޕ‬

࿑㧝㧚Berg ࡃ࡜ࡦࠬ࠹ࠬ࠻ߩ㗄⋡৻ᣇߢᧄᚻᴺߪ‫ޔ‬ᄢ߈ߊੑߟߩ໧㗴ὐ߇޽ߍࠄࠇࠆ‫ߩ৻╙ޕ‬໧㗴ὐߣߒߡ‫ޔ‬․ቯߩ⸻≮ᤨ㑆ౝߦ߅ߌࠆℂቇ≮ᴺ჻ߩⷰኤߦࠃߞߡ⹏ଔߐࠇࠆߚ߼‫ᤨ᧪ᧄޔ‬㑆‫ޔ‬૕⺞ߦࠃߞߡᄌൻߔࠆォୟน⢻ᕈߩ⚻ᤨ⊛ᄌൻࠍ᷹ⷰߔࠆߎߣ߇࿎㔍ߥߎߣ߇਄ߍࠄࠇࠆ‫࠻ࠬ࠹ޔߦᦝޕ‬ౝߢࡃ࡜ࡦࠬ⹏ଔߩߚ߼ߦታᣉߐࠇࠆⴕὑ⥄૕߇㜞㦂⠪ߦߣߞߡߪォୟ࡝ࠬࠢ߇㕖Ᏹߦ㜞ߊ‫ోޔ‬㗄⋡ࠍ⚳ੌߔࠆߚ߼ߩᚲⷐᤨ
㑆߇㐳޿ߚ߼‫ޔ‬㜞㦂⠪⥄り߇᳇シߦታᣉߔࠆߎߣ߇࿎㔍ߢ޽ࠆὐ߇਄ߍࠄࠇࠆ‫ޕ‬ ਄⸥ߩ໧㗴ߦኻߒ‫⎇ᧄޔ‬ⓥߢߪ࠙ࠚࠕ࡜ࡉ࡞ߥዊဳടㅦᐲ࠮ࡦࠨࠍ↪޿ߡ‫ޔ‬ᱠⴕߣ޿߁ᣣᏱ⊛ߥⴕὑࠍ⸘᷹࡮⸃ᨆߔࠆߎߣߦࠃࠅ‫ޔ‬⍴ᤨ㑆ߦ $GTI ࡃ࡜ࡦࠬ࠹ࠬ࠻⚿ᨐߣห⟵ߩ࡜ࡌ࡞ࠍផቯߔࠆᚻᴺߩឭ᩺ࠍ⋡⊛ߣߔࠆ‫ޕ‬
2. ឭ᩺ᚻᴺ

－ 22 － ዊဳടㅦᐲ࠮ࡦࠨࠍ↪޿ߚᱠⴕߩ⹏ଔᚻᴺߪ‫ߢ߹ࠇߎޔ‬ᄙߊឭ᩺ߐࠇߡ޿ࠆ‫ޕ‬଀߃߫ Moe-Nillsen ࠄ 5)ߪ૕ਛᔃടㅦᐲߩ RMS(root mean square)ࠍ․ᓽ㊂ߣߒߡり૕ߩേំ㊂ࠍⷰኤߒ‫ޔ‬ⁿጟࠄ 6)ߪ㕖✢ᒻᤨ♽೉⸃ᨆߩ⚿ᨐ࡝ࠕࡊࡁࡈᜰᢙ
ߩផቯࠍⴕߞߡേ⊛቟ቯᕈߩ⹏ଔࠍⴕߞߡ޿ࠆ‫ߚ߹ޕ‬ᱠⴕ๟ᦼߩᄌേ߇‫࡯ࡄޔ‬ࠠࡦ࠰ࡦ∛ᖚ⠪ 7)߿ᄌᒻᕈ⤒㑐▵∝ 8)ߩᖚ⠪ߩ∝⁁ߩᜰᮡߣߥࠆߣߒߚ⎇ⓥ߽
ሽ࿷ߔࠆ‫⎇ࠄࠇߎޕ‬ⓥߩᄙߊ߇‫ޔ‬ᱠⴕߩቯᏱ⁁ᘒߦ޽ࠆടㅦᐲᚑಽࠍ⸃ᨆኻ⽎ߣߒߡ޿ࠆ‫ޕ‬ ৻ᣇߢ೨ㅀߩ Berg Balance Scale ࠹ࠬ࠻ࠍታ㓙ߦ㜞㦂⠪ 17 ฬߦኻߒߡታᣉ
ߒ‫ߩߘޔ‬ὐᢙߩಽᏓࠍ⸃ᨆߒߡߺࠆߣ‫ޔ‬ὐᢙߩ߫ࠄߟ߈߇ᄢ߈޿ⴕὑߣߒߡߪ‫ޔ‬࿑㧞ߦ␜ߔ ⿷᜼਄‫┙⿷⛮ޔ‬૏‫ޔ‬บ߳ߩ⿷タߖߣ޿ߞߚ㗄⋡߇޽ߍࠄࠇߚ‫ࠃޕ‬ߞߡ‫ߕ߹ޔ‬㕒ᱛ┙૏ߩ⁁ᘒ߆ࠄ ⿷ࠍ਄ߍ‫ޔ‬㊀ᔃࠍ೨ᓟߦ⒖േߐߖᆎ߼ࠆㆫ⒖⁁ᘒᤨߦࡃ࡜ࡦࠬ⢻ജߩᏅ߇⴫಴ߒ߿ߔ޿௑ะߦ޽ࠆߣ઒ቯߒ‫⎇ᧄޔ‬ⓥߢߪᱠ
ⴕⴕὑᤨߢ߽‫ޔ‬㕒ᱛ⁁ᘒ߆ࠄቯᏱ⁁ᘒߦ⥋ࠆ߹ߢߩㆫ⒖ᦼߦ߅ߌࠆᵄᒻߦ⌕⋡ߒ‫ߩߘޔ‬ᵄᒻߩ㘃ૃᕈߣᏀฝኻ⒓ᕈ߆ࠄォୟน⢻ᕈࠍផቯߔࠆᚻᴺࠍឭ᩺ߔࠆ‫ޕ‬࿑ 2㧚Berg Balance Scale ࠹ࠬ࠻ߢὐᢙߩ߫ࠄߟ߈߇ᄢ߈޿ⴕὑ
ᧄ⎇ⓥߢឭ᩺ߔࠆᚻᴺߩ᭎ⷐ࿑ࠍ࿑ 3 ߦ␜ߔ‫ⵍޕ‬㛎⠪ߩ⣶ㇱߦขࠅઃߌࠄࠇߚ
࠮ࡦࠨߩᏀฝ(X)ᣇะടㅦᐲ ax ߅ࠃ߮਄ਅ(Y)ᣇะടㅦᐲ ay ࠍ౉ജߣߒ‫ޔ‬೨ㅀߩߣ߅ࠅ Berg Balance Scale ߩὐᢙߦၮߠ޿ߡઃਈߐࠇࠆォୟෂ㒾ᕈ࡜ࡌ࡞ࠍ
಴ജߣߔࠆ‫ޔߪ࡞ࡌ࡜ޕ‬Bogle ࠄ 4)ߦࠃߞߡォୟ⠪߇᦭ᗧߦჇടߔࠆߣ␜ߐࠇߚ
45 ὐᧂḩߩᖚ⠪ࠍෂ㒾⟲ߣߒ‫ޔ‬45 ὐએ਄ߢ 80 ઍ㜞㦂⠪ߩᐔဋ୯ 10)ߩ 51 ὐᧂḩߩᖚ⠪ࠍⷐᵈᗧ⟲ߣߒ‫ޔ‬ᱷࠅߩ 51 ὐએ਄ߩᖚ⠪ࠍ቟ో⟲ߣቯ⟵ߒߚ‫ޕ‬એਅߦ
ឭ᩺ᚻᴺߦ߅ߌࠆฦࡕࠫࡘ࡯࡞ౝߩ⸘▚ಣℂߦߟ޿ߡㅀߴࠆ‫ޕ‬
2.1 ᱠⴕ㐿ᆎᤨೞ್ቯࡕࠫࡘ࡯࡞
ᱠⴕ㐿ᆎᤨೞ್ቯࡕࠫࡘ࡯࡞ߢߪᱠⴕ㐿ᆎᤨೞ T0 ࠍ᳿ቯߔࠆ‫⸘ߕ߹ޕ‬᷹㐿ᆎᤨೞ߆ࠄ⋥೨ߩ 0.5[sec]㑆ߩ㋦⋥ᣇะടㅦᐲ ay ߩಽᢔ୯ࠍ▚಴ߒ‫ޔ‬㑣୯ σ ᧂḩߩ－ 23 －

႐วߦ஗ᱛ⁁ᘒ‫ޔ‬σ એ਄႐วߦㆇേ⁁ᘒߣ್ቯߔࠆ‫⎇ᧄޕ‬ⓥߢߪ σ ߪ 0.04 ߣߔࠆ‫ᤨࠆ޽ߦᦝޕ‬ೞ t ᤨߦ஗ᱛ⁁ᘒ‫ޔ‬t+0.5[sec]ᤨߦㆇേ⁁ᘒߣ▚಴ߐࠇߚ႐ว‫ޔ‬೨ᤨೞ t1 ࠍᱠⴕ㐿ᆎᤨೞ T0 ߣߔࠆ‫ޕ‬࿑㧠ߪᱠⴕ㐿ᆎᦼߩ㋦⋥ᣇะടㅦᐲ ay ߩ৻଀ߢ޽ࠅ‫ޔ‬࿑ਛߩਣὐߪ஗ᱛ⁁ᘒߣ್ᢿߐࠇߚฦᤨೞࠍ␜ߒߡ޿ࠆ‫ޕ‬࿑ 3㧚ឭ᩺ᚻᴺ᭎ⷐ

࿑㧠㧚ᱠⴕ㐿ᆎ඙㑆
2.2 ⸃ᨆାภ⸥㍳ࡕࠫࡘ࡯࡞
ᦝߦ‫⸃ޔ‬ᨆኻ⽎ߣߥࠆᱠⴕ㐿ᆎᦼ߆ࠄቯᏱ⁁ᘒߦ⥋ࠆ߹ߢߩടㅦᐲାภࠍ᛽
಴ߔࠆ‫ޕ‬3[sec]㑆ߩᏀฝᣇะടㅦᐲ ax ߅ࠃ߮㋦⋥ᣇะടㅦᐲ ay ࠍ T0 ߆ࠄ
0.5[sec]ߏߣߦ⒖േߒߥ߇ࠄ⸘ 7 ඙㑆᛽಴ߔࠆ‫ޔ߫߃଀ޕ‬࿑ 4 ߦ␜ߔࠃ߁ߦ╙৻඙㑆 term1 ߪ T0 ߆ࠄ T0+3[sec] ߹ߢߩ඙㑆ࠍᗧ๧ߒ‫╙ޔ‬ੑ඙㑆 term2 ߪ‫ޔ‬
T0+0.5[sec]߆ࠄ T0+3.5[sec] ߹ߢߩ඙㑆ࠍᗧ๧ߔࠆ‫ߦᦝޕ‬೨ಣℂߣߒߡ IIR ࡠ࡯ࡄࠬࡈࠖ࡞࠲ߦࠃߞߡ 10Hz એ਄ߩାภࠍ㒰෰ߔࠆ‫ޕ‬
2.3 ․ᓽ୯▚಴ࡕࠫࡘ࡯࡞
 ․ᓽ୯▚಴ࡕࠫࡘ࡯࡞ߢߪ‫ޔ‬೨⸥⸃ᨆାภ⸥㍳ࡕࠫࡘ࡯࡞ߢ᛽಴ߒߚฦ඙㑆ߦ߅ߌࠆ‫ޔ‬ᵄᒻߩ㘃ૃᕈࠍ␜ߔ․ᓽ㊂ߣߒߡ਄ਅᣇะടㅦᐲ ay ߩ⥄Ꮖ⋧㑐㑐ᢙߩ⋧㑐୯ࠍ▚಴ߔࠆ‫ޔߚ߹ޕ‬Ꮐฝኻ⒓ᕈࠍ␜ߔ․ᓽ㊂ߣߒߡ‫ޔ‬Ꮐฝᣇะടㅦᐲ
ax ߩᐔဋ୯ࠍ▚಴ߔࠆ‫ޕ‬ ฦ᛽಴඙㑆ߦ߅޿ߡ‫ޔ‬㐿ᆎ߆ࠄ i ࠬ࠹࠶ࡊߣ i+j ࠬ࠹࠶ࡊߩ୯ࠍ ay(i)ߣ ay(i+j)－ 24 －

ߣߔࠆߣ‫⥄ޔ‬Ꮖ⋧㑐㑐ᢙߪߘߩⓍࠍ࠺࡯࠲᷹ቯᤨ㑆 Nࠨࡦࡊ࡝ࡦࠣ๟ᵄᢙ fsߦ߅޿ߡᤨ㑆ᐔဋߔࠆߎߣߢ▚಴ߐࠇࠆ‫ޕ‬ฦࠬ࠹࠶ࡊߦ߅ߌࠆ⋧㑐୯ R(j)ߪ‫ޔ‬

R( j )

N * fs1¦ a y (i) a y (i  j)‫ޓ‬( N * fs) i 0          (2)j 0,1,2,, ( N fs)

ߣ᳞߼ࠆߎߣ߇ߢ߈ࠆ‫ޕ‬⋧㑐୯ R(j)ߩ୯ߪ ay ߇๟ᦼᕈࠍᜬߞߡ޿ࠆ႐ว 0 એᄖߩ୯ߣߥࠅ‫ޔ‬ᝄ᏷߇ᄢ߈ߊࡁࠗ࠭߇ዋߥ޿႐วߢ޽ࠆ߶ߤࠃࠅᄢ߈ߥ୯ߣߥࠆ‫ࠅ߹ߟޔ‬⣶ㇱߩ㋦⋥ᣇะ߳ߩജ߇ᒝߊ‫߇࠭ࠗࡁߩ╬߈ߟࠄ߰ޔ‬ዊߐ޿ᵄᒻߢ޽ࠆ‫ޔ‬ஜᏱߥᱠⴕߢ޽ࠆ
߶ߣᄢ߈ߥ୯ߣߥࠆ․ᓽࠍᜬߟ‫ޕ‬࿑ 5 ߪ቟ో⟲࡮ⷐᵈᗧ⟲࡮ෂ㒾⟲ߩᖚ⠪ߩ࠺࡯࠲ߩߘࠇߙࠇ╙৻඙㑆 term㧝ߩ⥄Ꮖ⋧㑐㑐ᢙߩ৻଀ߢ޽ࠆ߇‫ߩࠢ࡯ࡇ৻╙ޔ‬⋧㑐୯ Cymax(term1)߇‫ޔ‬ォୟෂ㒾ᕈ߇㜞߹ࠆߦߟࠇߡ‫ޔ‬ዊߐߊߥࠆ௑ะߣߥ
ߞߡ޿ࠆ‫ޔߪߢ࡞࡯ࡘࠫࡕᧄߦᦝޕ‬Ꮐฝᣇะടㅦᐲ CZ ߩᐔဋ୯ /㨤 VGTO ࠍᏀฝኻ⒓ᕈߩᜰᮡߣߒߡ▚಴ߔࠆ‫ޕ‬࿑ 5㧚⥄Ꮖ⋧㑐㑐ᢙ
2.4 ಽᢔ୯▚಴ࡕࠫࡘ࡯࡞ ࡃ࡜ࡦࠬ⢻ജ߇ఝࠇߡ޿ࠆⵍ㛎⠪߇ᣧߊቯᏱᱠⴕ⁁ᘒߦߥࠆ⚿ᨐ‫ޔ‬඙㑆ߏߣ
ߩ․ᓽ㊂ߩᄌേ߇ዊߐ޿ߣ޿߁઒⺑ߦၮߠ߈‫ޔ‬ಽᢔ୯▚಴ࡕࠫࡘ࡯࡞ߢߪ 2.3┨ߢ᳞߼ߚ 2 ․ᓽߩ Cymax(term)ߣ Mx(term)ߩ 7 ඙㑆ߢߩಽᢔ୯ DCymax‫ޔ‬DMx ࠍ▚಴ߔࠆ‫ޕ‬
2.5 ォୟෂ㒾ᕈផቯࡕࠫࡘ࡯࡞

－ 25 －

ォୟෂ㒾ᕈផቯࡕࠫࡘ࡯࡞ߢߪ‫ޔ‬ฦᱠⴕߦ߅޿ߡ▚಴ߐࠇߚ․ᓽ㊂ 㨄 ={ Cymax(term1)㧘DCymax, Mx(term1), DMx} ࠍ౉ജߣߒ‫ޔ‬Support Vector
Machine㧔SVM㧕ࠍ↪޿ߡ‫ޔ‬቟ో⟲࡮ⷐᵈᗧ⟲࡮ෂ㒾⟲ߩផቯࠍⴕ߁‫ޕ‬SVM ߪ‫ޔ‬ࠞ࡯ࡀ࡞㑐ᢙࠍዉ౉ߔࠆߎߣߦࠃࠅ㕖✢ᒻ⼂೎ߦኻᔕ߇น⢻ߢ޽ࠆ 2 ࠢ࡜ࠬߩࡄ࠲࡯ࡦ⼂೎ᚻᴺߢ޽ࠆ‫ᧄߦᦝޕ‬ᚻᴺߢߪ‫ޔ‬ᄙࠢ࡜ࠬߩ⼂೎߇ߢ߈ࠆࠃ߁
one-against-one ᴺ 11)ࠍ↪޿ߡ᜛ᒛߒߚ‫ޔߪࠇߎޕ‬K ࠢ࡜ࠬߩਛߩછᗧߩ 2 ࠢ࡜ࠬߩ⚵ߺวࠊߖ(K(K-1)/2)ㅢࠅߩ SVM ࠍߘࠇߙࠇ᭴ᚑߒ‫⚿ޔ‬ᨐߩᛩ␿ߦࠃߞߡ
಴ജࠢ࡜ࠬࠍ᳿ቯߔࠆᚻᴺߢ޽ࠆ‫⎇ᧄޕ‬ⓥߢߪ‫࡞ࡀ࡯ࠞޔ‬㑐ᢙߣߒߡߪ‫ޔ‬ੑᰴరߩᄙ㗄ᑼࠞ࡯ࡀ࡞㑐ᢙࠍ↪޿ߚ‫ޕ‬
3. ታ㛎
3.1 ᱠⴕ⸘᷹ኻ⽎࡮⸘᷹᧦ઙ ឭ᩺ᚻᴺߩ᦭ലᕈࠍᬌ⸽ߔࠆߚ߼‫⸘ޔ‬᷹ኻ⽎ߪㅢ㒮ਛߩ⣖තਛᖚ⠪ 15 ฬ߅ࠃ߮ࡄ࡯ࠠࡦ࠰ࡦ∛ᖚ⠪ 2 ฬߩว⸘ 17 ฬ㧔↵ᕈ 14 ฬ‫ޔ‬ᅚᕈ 3 ฬ‫ޔ‬ᐔဋᐕ㦂 69.5
r6.67 ᱦ‫ޔ‬ᐔဋ૕㊀ߪ 59.4r9.10[kg]㧕ߣߒߚ‫ޕ‬⣖තਛᖚ⠪ߩౝ⸶ߣߒߡߪ‫ޔ‬
Brunnstrom stage ߇Υ1 ฬ‫ޔ‬Φ2 ฬ‫ޔ‬Χ5 ฬ‫ޔ‬Ψ7 ฬߢ޽ߞߚ‫⸘߅ߥޕ‬᷹ߦవ┙ߜ‫⎇ᧄޔ‬ⓥߩ⿰ᣦ߅ࠃ߮ᣇᴺߦߟ޿ߡⵍ㛎⠪ߦ⺑᣿ࠍⴕ޿ᦠ㕙ߦߡหᗧࠍᓧߡ
ⴕߞߚ‫ޕ‬
ታ㛎ߢߪ‫ޔ‬ฦⵍ㛎⠪ߩ⣶ㇱߦ‫⸘ޔ‬᷹▸࿐߇r4.5G‫ࠣࡦ࡝ࡊࡦࠨ ޔ‬๟ᵄᢙ fs
ߪ 128[Hz]ߢ޽ࠆ 3 ゲടㅦᐲ࠮ࡦࠨࠍౝ⬿ߔࠆࡕࠫࡘ࡯࡞ࠍ⹜૞ߒ‫ޔ‬࿑ 5 ߩࠃ߁ߦ⋥ធขࠅઃߌ‫ޔ‬㕒ᱛ┙૏⁁ᘒ߆ࠄ 16[m]ߩ⋥✢⥄↱ᱠⴕࠍ 3 ࿁ߕߟ⵻⿷ߢ
ታᣉߒߚ㓙ߩ಴ജାภࠍ⸥㍳ߒߚ‫ޕ‬

࿑6ടㅦᐲ࠮ࡦࠨⵝ⌕࿑

3.2 Berg ࡃ࡜ࡦࠬ࠹ࠬ࠻ߩታᣉ
ోⵍ㛎⠪ߦኻߒߡ‫ޔ‬ᜂᒰ≮ᴺ჻ߦࠃߞߡ Berg ࡃ࡜ࡦࠬ࠹ࠬ࠻ߩ⹏ଔ߇ታᣉߐ
ࠇߚ‫⚿࠻ࠬ࠹ޕ‬ᨐߦၮߠ߈‫ޔ‬೨ㅀߩࠃ߁ߦฦⵍ㛎⠪ߦォୟෂ㒾ᕈߩ࡜ࡌ࡞ࠍઃ
ਈߒߚߣߎࠈ‫ޔ‬቟ో⟲߇ 8 ฬ㧔24 ᱠⴕ㧕‫ⷐޔ‬ᵈᗧ⟲߇ 4 ฬ㧔12 ᱠⴕ㧕‫ޔ‬ෂ㒾⟲߇－ 26 －

5 ฬ㧔15 ᱠⴕ㧕ߣߥߞߚ‫ޕ‬
3.3 ឭ᩺ᚻᴺߩផቯ♖ᐲᬌ⸽࡮⚿ᨐ਄⸥᧦ઙߢ᷹ቯߒߚⵍ㛎⠪ 1 ฬಽߩ 3 ᱠⴕࠍ࠹ࠬ࠻੐଀ߣߒ‫ޔ‬ᱷࠅߩ 16 ฬಽߩ
48 ᱠⴕࠍ⸠✵੐଀ߣߔࠆ leave-one-out cross-validation ᴺߦࠃߞߡឭ᩺ᚻᴺߩ
ផቯ♖ᐲࠍᬌ⸽ߒߚ‫ ⴫ޕ‬1 ߦォୟෂ㒾ᕈផቯࡕࠫࡘ࡯࡞ߩ಴ജࠃࠅ‫ޔ‬ฦ⟲ߩ࠺࡯࠲ߩㆡว₸࡮ౣ⃻₸࡮F ୯ࠍ▚಴ߒߚ⚿ᨐࠍ␜ߔ‫ޕ‬቟ో⟲࡮ᵈᗧ⟲ߩᱠⴕߪ‫ޔ‬80%એ਄ߩ㜞޿ F ୯ࠍᓧߚ‫ⷐޕ‬ᵈᗧ⟲ߩផቯ♖ᐲߪઁߩ 2 ⟲ߣᲧセߒૐ޿୯ߣ
ߥߞߚ‫ޕ‬⴫㧝  ផቯ⚿ᨐ
቟ో⟲

ⷐᵈᗧ⟲

ෂ㒾⟲

ㆡว₸

77.78%(21/27)

80.00%(8/10)

85.71%(12/14)

ౣ⃻₸87.50%(21/24)

66.67%(8/12)

80.00%(12/15)

㧲୯

82.35%

72.73%

82.76%

ⷐᵈᗧ⟲ߪࠨࡦࡊ࡞ᢙ߇ዋߥ޿ߚ߼‫ޔ‬ᱠⴕ㐿ᆎᦼ߆ࠄജᒝߊᱠ⺞ߩᄌേ߇ዋߥ
޿৻ᣇߢ‫ޔ‬Ꮐฝኻ⒓ᕈ߿ߘߩᄌേ߇ᄢ߈޿ߣ޿߁Ꮧዋߥࠤ࡯ࠬ߇࠹ࠬ࠻࠺࡯࠲
ߣߥߞߚ႐วߦ‫ޔ‬ផቯ♖ᐲ߇ᖡൻߔࠆߣ޿߁⃻⽎߇⷗ࠄࠇߚ‫ᧄޔߚ߹ޕ‬ᚻᴺߢߪ SVM ߩ౉ജߣߒߡ 4 ․ᓽࠍ೑↪ߒߡ޿ࠆ߇‫ޔ‬one-against-one ᴺࠍታⵝߔࠆ
㓙ߦߪ‫⼂ޔ‬೎ኻ⽎ߣߔࠆ⟲ߦࠃߞߡᏅ߇㗼⪺ߦ⴫಴ߔࠆ․ᓽ߇⇣ߥߞߡ޿ࠆ௑
ะ߇޽ࠆ‫ޔ߫߃଀ޕ‬7 ඙㑆ߦ߅ߌࠆ⥄Ꮖ⋧㑐ᦨᄢ୯ߩಽᢔ୯ߪ‫ޔ‬቟ో⟲ߣⷐᵈᗧ⟲‫ޔ‬቟ో⟲ߣෂ㒾⟲㑆ߢߪ᦭ᗧᏅ㧔t ᬌቯߩ㓙 P<0.05㧕߇ሽ࿷ߔࠆ߇‫ⷐޔ‬ᵈᗧ⟲ߣෂ㒾⟲㑆ߢߪ᦭ᗧᏅ߇ߥ޿‫ߥ߁ࠃߩߎޕ‬ᕈ⾰߽‫ޔ‬ផቯ⺋Ꮕߩේ࿃ߩ 1 ߟߣ⠨߃ࠄࠇࠆ‫ޕ‬
4. ߹ߣ߼
ᧄ⎇ⓥߢߪ‫ޔ‬ᱠⴕ㐿ᆎᤨ߆ࠄቯᏱ⁁ᘒߦ⥋ࠆ߹ߢߩㆫ⒖ᦼߦ߅ߌࠆᵄᒻߩ㘃ૃᕈ߅ࠃ߮Ꮐฝኻ⒓ᕈߩᄌൻߦ⌕⋡ߒ‫ޔ‬ォୟน⢻ᕈࠍផቯߔࠆᚻᴺߩឭ᩺ߣೋ
ᦼᬌ⸛ࠍⴕߞߚ‫⯯ߦ․ޕ‬ᒙ㜞㦂⠪ߪ‫ޔ‬ᣣᏱ↢ᵴߩਛߢߪደౝߢߩ⍴ᦼ㑆ߩᱠⴕߦ㒢ࠄࠇࠆߣ⠨߃ࠄࠇ‫ޔ‬ᱠⴕ㐿ᆎᦼࠃࠅォୟน⢻ᕈ߇ផቯน⢻ߢ޽ࠆᯏ⢻ߪ᦭↪ߢ޽ࠆߣ⠨߃ࠄࠇࠆ‫৻ޕ‬ᣇ⃻࿷ォୟෂ㒾ᕈߪ 3 ⟲ߩ࡜ࡌ࡞ߣߒߡቯ⟵ߒߡ޿ࠆ߇‫ޔ‬ታ㓙ߦォୟ੍㒐࡮ᱠኈᡷༀߩᜰᮡߣߔࠆߚ߼ߦߪ‫ࠅࠃޔ‬ㅪ⛯⊛ߥ࡜ࡌ࡞ߣߒߡផቯߢ߈ࠆߎߣ߇ᅢ߹ߒ޿‫੹ޕ‬ᓟߪ਄⸥᧦ઙਅߢߩᦝߥࠆ♖ᐲะ਄ߦะ
ߌ‫․ޔ‬ᓽ㊂߅ࠃ߮ផቯࠕ࡞ࠧ࡝࠭ࡓߩᬌ⸛ߣ౒ߦታ㛎ᢙࠍ㊀ߨ‫ࠅࠃޔ‬ା㗬ᕈߩ㜞޿ᚻᴺߩឭ᩺ࠍ⋡ᜰߔ‫ޕ‬－ 27 －

ෳ⠨ᢥ₂ ᨋᵏᨋ㧚̌㜞㦂⠪ߩォୟ㒐ᱛ̍ᣣ⠧ක⹹㧘㧘
 $GTI-19QQF&CWRJKPGG5.9KNNKCOU,#GVCN/GCUWTKPIDCNCPEGKPVJGGNFGTN[XCNKFCVKQPQHCPKPUVTWOGPV%CP,2WDNKE*GCNVJ  U ਣ⼱ᐽᐔ᧖ᧄ⻀㧘દ൓ፒཅೣ㧘ዊᨋᱜብ㧚⣖තਛ㤗∽ᖚ⠪ߦ߅ߌࠆᱠⴕ⢻ജߣ $GTI

$CNCPEG5ECNG ߩ㑐ଥ㧚ℂቇ≮ᴺቇ 5WRRNGOGPVA 
 $QING6JQTDCJP.&0GYVQP4#7UGQHVJG$GTI$CNCPEG6GUVVQRTGFKEVHCNNUKPGNFGTN[RGTUQPU2J[U6JGT  
 /QG0KNUUGP4#PGYOGVJQFHQTGXCNWCVKPIOQVQTEQPVTQNKPICKVWPFGTTGCNNKHGGPXKTQPOGPVCNEQPFKVKQPU2CTV)CKVCPCN[UKU%NKPKECN$KQOGEJCPKEU

 ⁿጟశ㧘⍹ේᱜ㧘ዊ㊁⾆ᒾ㧘ᄢṚ଻᣿㧘᳗ን⦟৻㧚ടㅦᐲ⸘᷹ߦࠃࠆ㜞㦂⠪ᱠⴕߩ቟ቯᕈ⹏
ଔߣォୟ੍㒐ߦ㑐ߔࠆ⎇ⓥ㧘࠺ࠨࡦ࠻ࠬࡐ࡯࠷⑼ቇ㧘 JVVRYYYOMCICMWEQLRCDQWVOEE4%URGEKCNHGCVWTGJVON ጊ↰ታᐔ↰✚৻㇢ዊ㊁⃍቟⮮໪มᄌᒻᕈ⤒㑐▵∝ᖚ⠪ߦ߅ߌࠆᱠⴕ๟ᦼᤨ㑆ᄌേߣᱠኈ
⇣Ᏹߩ㑐ଥࡃࠗࠝࡔࠞ࠾࠭ࡓቇ⹹ ᄢᐔ㜞ᱜᳰౝ⑲㓉㧚㜞㦂⠪ߩᱠⴕ㐿ᆎߩ⿷࿶ਛᔃὐ⒖േ〒㔌ߣ⿷ᜰᯏ⢻ߩ㑐ଥ߅ࠃ߮ォୟߣߩน⢻ᕈ㧚ℂቇ≮ᴺቇ  
 5VGHHGP/6*CEMGT/6/QNNKPIGT.#IGCPFIGPFGTTGNCVGFVGUVRGTHQTOCPEGKPEQOOWPKV[FYGNNKPIGNFGTN[RGQRNG5KZOKPWVGYCNMVGUVDGTIDCNCPEGUECNGVKOGFWR
IQVGUVCPFICKVURGGFU2J[UKECN6JGTCR[ *UW%9CPF.KP%,#EQORCTKUQPQHOGVJQFUHQT/WNVKENCUU5WRRQTV8GEVQT/CEJKPGU+'''6TCPUCEVKQPUQH0GWTCN0GVYQTMU













－ 28 －

ࠕࡦࡆࠛࡦ࠻ⅣႺߦ߅ߌࠆ⚻㛎ဳᒝൻቇ⠌ࠍ↪޿ߚࠗࡦ࠲࡜ࠢ࠹ࠖࡉ࠺ࡃࠗࠬߩ೙ᓮ      ਛἑ⛋຦ 1, ᫪ጊ↲৻ 2, ᷡᎹ ᷡ 1,㓶ጊ⌀ᑿ 3, ᴧየᱜⴕ 2, ᩙේ ⡡ 2

              12ᄢ㒋ᄢቇᄢቇ㒮ᖱႎ⑼ቇ⎇ⓥ⑼ᄢ㒋ᄢቇ↥ᬺ⑼ቇ⎇ⓥᚲ
3㑐⷏ቇ㒮ᄢቇ

Email: kurihara@sanken.osaka-u.ac.jp
Keywords: ࠕࡦࡆࠛࡦ࠻ᖱႎಣℂ㧘ᒝൻቇ⠌㧘∋ഭ࿁ᓳߪߓ߼ߦ ㄭᐕᣣᏱ↢ᵴߦ߅ߌࠆੱ߳ߩ᭽‫ߡߒߣ⊛⋡ࠍ࠻࡯ࡐࠨߥޘ‬㧘ㆡಾߥࠗࡦ࠲࡜࡚ࠢࠪࡦࠍ㧘ㆡಾߥ࠲ࠗࡒࡦࠣߢ⢻േ⊛ߦ௛߈߆ߌࠆ‫ࠕޟ‬ࡦࡆࠛࡦ࠻ᖱႎၮ⋚‫ߦޠ‬㑐ߔࠆ⎇ⓥ߇ᵈ⋡ߐࠇߡ޿ࠆ㧚ߎߩࠕࡦࡆࠛ
ࡦ࠻ᖱႎၮ⋚ߩታ⃻ߢ㧘ੱߩ૞ᬺ⵬ഥ㧘りߩ࿁ࠅߩෂ㒾੍⍮ߣ޿ߞߚߎߣ߇น⢻ߦߥࠆߣᦼᓙߐࠇߡ޿ࠆ㧚ࠕࡦࡆࠛࡦ࠻ᖱႎၮ⋚ࠍ᭴▽ߔࠆߦߪએਅߩ ߟߩࠬ࠹࠶ࡊ߇ᔅⷐߢ޽ࠆ㧚࡮ታⅣႺ߆ࠄߩ࠮ࡦࠨ࡯ࡀ࠶࠻ࡢ࡯ࠢ╬ߦࠃࠆੱߩᝄࠆ⥰޿ߦ㑐ߔࠆᖱႎࠍ෼㓸ߔࠆၮ⋚ߩ᭴▽࡮෼ᜪߐࠇߚᖱႎ߆ࠄੱߩ⠌ᘠ⊛ߥᝄࠆ⥰޿ࠍ᛽಴ߔࠆੱ㑆ⴕേࡑࠗ࠾ࡦࠣ
࡮ࠗࡦ࠲࡜࡚ࠢࠪࡦ࠺ࡃࠗࠬߦ߅޿ߡᦨㆡߥ࠺ࡃࠗࠬࠍᦨㆡߥ࠲
ࠗࡒࡦࠣߢᠲ૞ߔࠆߚ߼ߩࡊ࡜ࡦ࠾ࡦࠣᛛⴚ߿೙ᓮᛛⴚ ᧄ⎇ⓥߢߪ㧘 ߟ⋡ߩࠬ࠹࠶ࡊߦᵈ⋡ߒ㧘࠺ࠬࠢࡢ࡯ࠢߦ߅ߌࠆ∋ഭ߇⿠࿃ߔࠆ⌁᳇ߦኻߒ㧘ᔃ࿾ࠃߊⷡ㉕ߐߖࠆߚ߼ߩࠗࡦ࠲࡜࡚ࠢࠪ
ࡦߩ᭴▽ࠍⴕߞߚ㧚ᔟㆡߣᗵߓࠆࠗࡦ࠲࡜࡚ࠢࠪࡦߪੱߦࠃߞߡ⇣ߥࠆߎߣ߆ࠄ㧘ᧄ⎇ⓥߦ߅޿ߡ㧘ߎࠇࠍ⚻㛎ဳᒝൻቇ⠌ߦࠃߞߡ₪ᓧߔ
ࠆᚻᴺࠍឭ᩺ߒ㧘ⵍ㛎⠪ߦࠃࠆ᦭↪ᕈᬌ⸽ࠍⴕߞߚ㧚ᗐቯߔࠆࠕࡦࡆࠛࡦ࠻ⅣႺ        ᧄ⎇ⓥߢ᭴▽ߔࠆࠗࡦ࠲࡜࡚ࠢࠪࡦߩ⋡⊛ߪ㧘ੱ߇⌁޿⁁ᘒߦ޽ࠆߣ
߈㧘ᔟㆡߦⷡ㉕ߐߖࠆߎߣߢ޽ࠆ㧚ߘߎߢ㧘⋡ⷡ߼ߐߖࠆࠗࡦ࠲࡜ࠢࠪ
࡚ࡦ࠺ࡃࠗࠬߣߒߡ㧘ᾖ᣿㧔⊕⦡㧘㤛⦡㧕㧘㚅ࠅ㧔ࡒࡦ࠻㧘ࠦ࡯ࡅ࡯㧕㧘㖸ᭉ㧔⪭ߜ⌕޿ߚ㧘᣿ࠆ޿㧕㧘ߘࠇߙࠇࠍ⊒↢ߐߖࠆ ⒳㘃ߩ࠺ࡃࠗࠬߣ
ฦ‫ ߩߢࠬࠗࡃ࠺ߩޘ‬⒳㘃ߩⴕേ㧘⸘ ⒳㘃ߩࠗࡦ࠲࡜࡚ࠢࠪࡦࠍ↪ᗧߒߚ㧚    ߹ߚ㧘ੱߩ⁁ᘒࠍ⍮ⷡߔࠆߚ߼ߩ࠮ࡦࠪࡦࠣߣᖱႎ⸃ᨆߦߟ޿ߡߪ㧘－ 29 －

⍍߈߿૕േࠍ೑↪ߔࠆߟ߽ࠅߢ޽ࠆ߇㧘߹ߛ೑↪น⢻ߥ♖ᐲߢߥ޿ߚ߼㧘੹ᓟߦ߅޿ߡ♖ᐲࠍ㜞߼ࠆ੍ቯߢ޽ࠆ㧚ᧄ⎇ⓥߢߪᔟㆡߥⷡ㉕ߩߚ߼ߦߪ୘ੱߦ޽ߞߚᦨㆡߥࠗࡦ࠲࡜࡚ࠢࠪࡦ♽೉ߩ₪ᓧ߇㊀ⷐߢ޽ࠆߚ߼㧘ߘߩ₪ᓧࠍᒝൻቇ⠌ࠍ↪޿ߡ⋡ᜰߔ㧚ឭ᩺ᚻᴺ        ᧄ⎇ⓥߢߪ㧘ᒝൻቇ⠌ߦࠃߞߡ㧘ᦨㆡߥࠗࡦ࠲࡜࡚ࠢࠪࡦ♽೉ࠍ₪ᓧߔࠆߚ߼㧘ⵍ㛎⠪߆ࠄߩ౉ജߦࠃߞߡ࡝ࠕ࡞࠲ࠗࡓߦᓧࠄࠇࠆⷡ㉕ᐲ࡮ᔟㆡᐲࠍႎ㈽ߣߔࠆ 2TQHKVUJCTKPIߦࠃߞߡቇ⠌ࠍⴕߞߚ㧚ᒝൻቇ⠌ߪᄢ߈ߊ㧘3NGCTPKPIࠍઍ⴫ߣߔࠆⅣႺหቯဳߣ㧘2TQHKVUJCTKPIࠍઍ⴫ߣߔࠆ⚻㛎ᒝൻဳ=?ߩ  ߟߦಽ㘃ߐࠇࠆ㧚೨⠪ߦᲧߴ㧘ᓟ⠪ߪ⸃ߩᦨㆡᕈ߇଻⸽ߐࠇߥ޿߽ߩߩ㧘⹜ⴕ࿁ᢙ߇ዋߥ޿႐วߦ߅޿ߡ߽ቇ⠌ലᨐࠍᓧࠄࠇࠆ㧚ߎߩߎߣ߆ࠄ㧘ᧄ⎇ⓥߢߪ 2TQHKVUJCTKPIࠍ↪޿ߡ㧘ࠗࡦ࠲࡜ࠢ࠹ࠖࡉ࠺ࡃࠗࠬߩ೙ᓮࠍቇ⠌ߔࠆᨒ⚵ߺࠍណ↪ߒߚ㧚ᬌ⸽ታ㛎ឭ᩺ᚻᴺߩᬌ⸽ታ㛎ߣߒߡ㧘એਅߩታ㛎ࠍⴕߞߚ㧚߹ߕ㧘ⵍ㛎⠪ࠍᡆૃ⊛ߦ⌁޿⁁ᘒߦㄭߠߌࠆߚ߼㧘◲නߥ෻ᓳ⸘▚ࠍߒߡ߽ࠄ޿ߘߩᓟ㧘᳿ቯߐࠇߚࠗࡦ࠲࡜ࠢ࠹ࠖࡉ࠺ࡃࠗࠬ♽೉ࠍⵍ㛎⠪ߦታⴕߒߚ㧚ߘߒߡ㧘ⵍ㛎⠪ߦࠗࡦ࠲࡜࡚ࠢࠪࡦ⚳ੌᤨߩ⁁ᘒ㧔ⷡ㉕ᐲ㧘ᔟㆡᐲ㧕ࠍ౉ജߒߡ
߽ࠄ޿㧘ߎߩ৻ㅪߩᵹࠇࠍ ࿁➅ࠅ㄰ߒ㧘2TQHKVUJCTKPIߦࠃߞߡᦨ
ㆡߥࠗࡦ࠲࡜࡚ࠢࠪࡦ♽೉ߩቇ⠌ࠍⴕߞߚ㧚ߘߒߡ㧘਄⸥ߩ⹜ⴕߦࠃࠆ
ቇ⠌ߩ⚿ᨐࠍ⹏ଔߔࠆߚ߼㧘ਈ߃ࠄࠇߚႎ㈽ߩᄢ߈ߐߢㆬࠎߛ  ߟߩ࠺ࡃࠗࠬ♽೉ߣቇ⠌⚿ᨐࠍ฽߼ߚ  ߟߩ࠺ࡃࠗࠬ♽೉ࠍⵍ㛎⠪ߦታⴕߒߚ㧚ߎߩ  ߟࠍታ㓙ߦኢߡ޿ࠆ⁁ᴫࠍᗐቯߒߡ㧘ⵍ㛎⠪ߩਥⷰߦࠃߞߡ㗅૏ߠߌߡ߽ࠄߞߚ㧚ታ㛎ߩ⚿ᨐ㧘 ฬߩⵍ㛎⠪ߦ߅޿ߡ ฬ߇ቇ⠌⚿ᨐࠍᦨ߽ᅢ߻ߣ⹏ଔߔࠆߥߤ㧘ᒝൻቇ⠌ߦࠃߞߡ㧘ฦੱߩ༵ᅢࠍቇ⠌ߢ߈ࠆߎߣߩน⢻ᕈࠍ⏕⹺ߔࠆߎߣ߇ߢ߈ߚ
߹ߣ߼    ታ㛎⚿ᨐ߆ࠄ㧘ᒝൻቇ⠌ߦࠃߞߡ㧘୘ੱߏߣߢߩᦨㆡߥࠗࡦ࠲࡜ࠢࠪ
࡚ࡦ♽೉߇ቇ⠌ߢ߈ࠆน⢻ᕈࠍ⏕⹺ߒߚ㧚੹ᓟߩ⸘↹ߣߒߡ㧘⌁᳇ࠍ⥄േ್ቯߔࠆࠪࠬ࠹ࡓߩ᭴▽ࠍⴕ޿㧘ታ㓙ߦ⌁޿⁁ᴫߢߩᦨㆡߥࠗࡦ࠲࡜
࡚ࠢࠪࡦ♽೉ߩቇ⠌ߣߘߩ⚿ᨐߩ᦭↪ᕈߩ⹏ଔࠍⴕ߁੍ቯߢ޽ࠆ㧚    ෳ⠨ᢥ₂   =?ችፒ๺శᧁ᧛రዊᨋ㊀ାᓼ㜞ᐔ⬿⮮᧛༑ਭᦶጊᎹὓ⋙ୃ2TQHKV5JCTKPIߦၮߠߊᒝൻቇ⠌ߩℂ⺰ߣᔕ↪ੱᎿ⍮⢻ቇળ⹹  RR
－ 30 －

ὐሼ⸅⺒⺖㗴ߣᥧ▚⺖㗴ਅߦ߅ߌࠆⷞ⡬ⷡᖱႎߩหᤨᄌൻᤨߩ⣖ᵴേߩᲧセ



  1
2

㕍ጊᢕ 1‫ޔ‬ᤐጊ෹ብ 2‫ޔ‬ട⮮ㆯᄥ 2᧲੩㔚ᯏᄢቇ వ┵Ꮏቇ⎇ⓥᚲ ජ⪲⋵ශ⷏Ꮢᱞ⷏ቇ࿦บ 2-1200
᧲੩㔚ᯏᄢቇ ᖱႎⅣႺቇㇱ ජ⪲⋵ශ⷏Ꮢᱞ⷏ቇ࿦บ 2-1200
email: aoyama @rcat.dendai.ac.jp
Keywords: ⇣⒳ᗵⷡ⛔ว ⣖ᯏ⢻⸘᷹ 㑣ਅ⍮ⷡ ⣖⏛࿑㧔MEG㧕ⷐᣦੱ㑆ߪ‫ޔ‬りߩ࿁ࠅߩⷞⷡᖱႎ߿⡬ⷡᖱႎߩᄌൻࠍήᗧ⼂⊛ߦᬌ಴ߒ‫ޔ‬⃻⁁ᛠី߿ෂᯏ࿁ㆱߦᓎ┙ߡࠆ⢻ജࠍ᦭ߒߡ޿ࠆ‫ࠅ➅ޔ߫߃଀ޕ‬㄰ߒ๒␜ߐࠇࠆ⡬ⷡೝỗ߿ⷞⷡೝỗߩᕆߥᄌൻߦኻߒߡߪ‫ޔ‬⡬ⷡ㊁߿ⷞⷡ㊁ߩ⣖ᵴേ߇ᣧᦼ߆ࠄჇᄢߔࠆߎߣ߇ႎ๔ߐࠇߡ޿ࠆ‫ߩߎޕ‬Ⴧᄢ㧔ࡒࠬࡑ࠶࠴෻ᔕ㧕ߪ‫ࠝ࠺ࡆޔ‬㐓⾨߿ᥧ▚ߥߤߦࠃߞߡ‫ޔ‬ᵈᗧ߇ᄖ⊛ߥᖱႎ߿ౝ⊛ߥಣℂߦะ޿ߡ޿ࠆ㓙ߦ߽಴⃻ߔࠆߎߣ߇⍮ࠄࠇߡ޿ࠆ‫ޔࠄ߇ߥߒ߆ߒޕ‬ⷞⷡೝỗߣ⡬ⷡೝỗ߇หᤨߦᄌൻߒߚ႐วߦ߽ห᭽ߩ⣖ᵴേ߇ሽ࿷ߔࠆ
ߩ߆ߪਇ᣿ߢ޽ࠆ‫੹ޕ‬࿁ߩ⊒⴫ߢߪ‫ޔ‬ms න૏ߩᤨ㑆ಽ⸃⢻ߣ⊹⾰ߦ߅޿
ߡ mm න૏ߩⓨ㑆ಽ⸃⢻ࠍᜬߟ㕖ଚⷅ⣖⸘᷹ᴺߢ޽ࠆ MEG㧔⣖⏛࿑㧕ࠍ↪޿ߡ‫ޔ‬ᄖะ߈ߦᵈᗧࠍㅺࠄߔὐሼ⸅⺒⺖㗴ߣౝ⊛ߦಣℂࠍ↢ᚑߔࠆᥧ▚⺖㗴ߩㆀⴕਅߦ߅޿ߡ‫ⷞޔ‬⡬ⷡᖱႎߩหᤨᄌൻߦኻߔࠆᣧᦼ⣖ᵴേߩᬌ⸛ࠍⴕߞߚ‫ޕ‬ࠗࡦࡈࠜ࡯ࡓ࠼ࠦࡦ࠮ࡦ࠻ࠍᓧߚᱜᏱߥⷞⷡ‫ޔ‬⡬ⷡ‫ⷡ⸅ޔ‬ᯏ⢻ࠍ᦭ߔࠆஜᏱⵍ㛎⠪㧔ὐሼ⸅⺒⺖㗴 10 ฬ‫ޔ‬ᥧ▚⺖㗴 5 ฬ㧕ߦኻߒߡ⴫ 1 ߩࠃ߁ߥⷞ⡬ⷡೝỗࠍ๒␜ߒߚ‫ⷡⷞޕ‬ೝỗߣߒߡ‫ޔ‬22 ߩᏒ᧻ᮨ᭽ߩࡄ࠲࡯ࡦ
V1 ߹ߚߪ V2 ࠍ૶↪ߒ‫ޔ‬࿑ 1 ߩࠃ߁ߦᏀฝߩⷞ㊁ߦหߓࡄ࠲࡯ࡦࠍ 50ms
⴫␜ߐߖߚ‫ޕ‬⡬ⷡೝỗߣߒߡ‫ޔ‬1000Hz ߩ⚐㖸 A1 ߹ߚߪ 1050Hz ߩ⚐㖸A2 ࠍ૶↪ߒ‫ⷡⷞޔ‬ೝỗߣหᤨߦਔ⡊ߦ 50ms ๒␜ߒߚ‫ޔᤨߩߎޕ‬V1 ߣ
A1 ߩ⚵ߺวࠊߖ㧔ᮡḰೝỗ㧕ࠍ㜞㗫ᐲ㧔87.5%㧕಴⃻ߐߖ‫ޔ‬⒘ߦ V2 ߣ
A1 ߩ⚵ߺวࠊߖ㧔ⷞⷡㅺ⣕ೝỗ㧕‫ޔ‬V1 ߣ A2 ߩ⚵ߺวࠊߖ㧔⡬ⷡㅺ⣕ೝỗ㧕‫ޔ‬V2 ߣ A2 ߩ⚵ߺวࠊߖ㧔ⷞ⡬ⷡㅺ⣕ೝỗ㧕ࠍฦ‫ޘ‬ૐ㗫ᐲ㧔4.2%㧕ߢ಴⃻ߐߖߚ‫ ߩࠄࠇߎޕ‬4 ⒳㘃ߩⷞ⡬ⷡೝỗߪ 400ms ߩ㑆㓒ߢ࡜ࡦ࠳ࡓߦ
ว⸘ 2400 ࿁๒␜ߒߚ‫ⵍޕ‬㛎⠪ߦߪ‫ⷞޔ‬⡬ⷡೝỗ߆ࠄᵈᗧࠍㅺࠄߔߚ߼ߦ‫ޔ‬
೨ㅀߩ 2 ⺖㗴ࠍⴕߞߡ߽ࠄߞߚ‫ߪߟ৻ޕ‬ὐሼ⸅⺒⺖㗴ߢ‫ⷞޔ‬㊁ਛᄩߩ࿕ⷞὐࠍಝⷞߒߡ߽ࠄ޿ߟߟ‫ޔ‬ὐሼೝỗⵝ⟎ߦࠃߞߡ 10s Ფߦಾࠅᦧࠊࠆὐ
ሼࡄ࠲࡯ࡦࠍᏀ␜ᜰ㧔߹ߚߪฝ␜ᜰ㧕ߩవ┵ㇱߢ⺒ߺขߞߡ߽ࠄ޿‫ޔ‬10⒳㘃ߩࡄ࠲࡯ࡦߩ߁ߜ࠲࡯ࠥ࠶࠻ࠍ⷗ߟߌߚ㓙ߦ෻ኻ஥ߩ␜ᜰߢߥࠆߴ
ߊᱜ⏕ߦᔕ╵ߔࠆࠃ߁ᜰ␜ߒߚ‫ઁޕ‬ᣇߪᥧ▚⺖㗴ߢ‫ޔ‬࿕ⷞὐࠍಝⷞߒߡ
߽ࠄ޿ߟߟ‫ޔ‬100 ߆ࠄ 7 ߩᷫ▚ࠍ➅ࠅ㄰ߒⴕߞߡ߽ࠄ޿‫৻ޔ‬ᩴߩᦨ⚳୯ࠍὐሼ⸅⺒⺖㗴ߩᔕ╵ᜰߢႎ๔ߔࠆࠃ߁ᜰ␜ߒߚ‫ޕ‬ὐሼ⸅⺒⺖㗴ߦ߅޿ߡ߽ᥧ▚⺖㗴ߦ߅޿ߡ߽‫ޔ‬ታ㛎ࠍㅢߓߡ‫ⵍޔ‬㛎⠪ߪⷞⷡᖱႎ߅ࠃ߮⡬ⷡᖱႎߩᄌൻࠍ⍮ⷡߢ߈ߥ߆ߞߚߎߣ߇⏕⹺ߢ߈ߚ‫ޕ‬Ꮐ⡬ⷡ㊁‫ޔ‬ฝ⡬ⷡ㊁ߦ߅ߌࠆฦ⺖㗴ㆀⴕਅߩ RMS ᒝᐲߩ⛮ᤨ⊛ᄌൻࠍ࿑
2 ߦ␜ߔ‫ޕ‬ೝỗߩᄌൻߦኻߔࠆ⣖ᵴേߩߺࠍ⹏ଔߔࠆߚ߼ߦ‫ޔ‬ฦㅺ⣕ೝỗ

－ 31 －

ߦኻߔࠆ⣖ᵴേ߆ࠄᮡḰೝỗߦኻߔࠆ⣖ᵴേࠍᏅߒᒁ޿ߚ߽ߩࠍࡊࡠ࠶
࠻ߒߡ޿ࠆ‫ޕ‬ὐሼ⸅⺒⺖㗴ߩᏀฝ⡬ⷡ㊁ߦ߅޿ߡߪ‫ⷞޔ‬⡬ⷡㅺ⣕ೝỗߣ⡬ⷡㅺ⣕ೝỗߦኻߒߡ‫ޔ‬ೝỗᓟ 150ms ઃㄭߦࡇ࡯ࠢᵴേჇᄢ߇⏕⹺ߐࠇ‫ޔ‬ⷞ⡬ⷡㅺ⣕ೝỗߩᣇ߇⡬ⷡㅺ⣕ೝỗߦᲧߴߡᒝᐲ߇Ⴧᄢߒߡ޿ߚ‫ߩߎޕ‬ࠃ߁ߥᒝᐲᏅߪ‫ޔ‬ᥧ▚⺖㗴ߩ႐วߦߪ᷹ⷰߐࠇߥ߆ߞߚ‫ⷡⷞޕ‬㊁ߦ߅޿ߡߪ‫ޔ‬ਔ⺖㗴ߢ㗼⪺ߥᵴേ߇᷹ⷰߐࠇߥ߆ߞߚ‫ޕ‬ਔ⺖㗴ߦ߅޿ߡ‫ⷞޔ‬⡬ⷡㅺ⣕ೝỗߣ⡬ⷡㅺ⣕ೝỗߦኻߔࠆ⡬ⷡ㊁ߩᵴ
േჇᄢ㧔ࡒࠬࡑ࠶࠴෻ᔕ㧕߇᷹ⷰߐࠇߚ߇‫ޔ‬ᵈ⋡ߔߴ߈ߎߣߦ‫ޔ‬ὐሼ⸅⺒⺖㗴ߢߩߺ‫ޔ‬⡬ⷡㅺ⣕ೝỗࠃࠅ߽ⷞ⡬ⷡㅺ⣕ೝỗߦኻߒߡࠃࠅᄢ߈ߥ
ᔕ╵߇⷗ࠄࠇߚ‫ߩߎޕ‬Ꮕಽߪ‫ⷞޔ‬⡬ⷡೝỗߩหᤨᄌൻߦࠃߞߡߩߺ಴⃻ߒߚᚑಽߛߣ⠨߃ࠄࠇࠆ‫ޕ‬หߓⷞ⡬ⷡೝỗߦኻߔࠆ㕖ᵈᗧ᧦ઙߢ޽ߞߡ
߽‫ޔ‬ὐሼ⸅⺒⺖㗴ߢߪ⸅ⷡೝỗߦኻߒߡᵈᗧࠍะߌߡ޿ࠆߩߦኻߒ‫ޔ‬ᥧ▚⺖㗴ߦ߅޿ߡߪ‫ޔ‬ౝ⊛ߥ⸘▚ಣℂߦኻߒߡᵈᗧࠍะߌߡ޿ࠆ‫౉ⷡ⸅ޕ‬ജߦኻߒߡ✂᭽૕⾮ᵴ♽߇ᵴᕈൻߔࠆߎߣ߇⍮ࠄࠇߡ޿ࠆߚ߼‫ޔ‬ὐሼ⸅⺒⺖㗴ߢߪ‫ⷡⷞޔ‬ೝỗߣ⡬ⷡೝỗߦࠃࠆ․ᱶⷞᐥ⊹⾰ᛩ኿♽ߩᵴᕈߣ✂᭽૕⾮ᵴ♽ߩᵴᕈߩ⋧੕૞↪߇ሽ࿷ߒ‫ߡ޿߅ߦ♽࠻࡯࡜ࠕޔ‬㍈ᢅߢ޽ࠆ⡬ⷡᵴേߦߘߩലᨐ߇⃻ࠇߚน⢻ᕈ߇޽ࠆ‫ߚ߹ޕ‬ᥧ▚⺖㗴ߢߪ⋧੕૞↪
ߪሽ࿷ߖߕ‫ⷡⷞޔ‬ೝỗߩ᦭ήߦଐሽߔࠆࠃ߁ߥ⡬ⷡᵴേߪ⃻ࠇߥ߆ߞߚ
ߣ⠨߃ࠄࠇࠆ‫ߚ߹ޕ‬ᓟ㗡ㇱߦ߅޿ߡ㗼⪺ߥ⣖ᵴേ߇⷗ࠄࠇߥ߆ߞߚߎߣ
߽‫ⷡⷞޔ‬㊁ࠍ੺ߐߥ޿⋧੕૞↪ߩሽ࿷ࠍᡰᜬߔࠆ‫ⷞޔߡߞ߇ߚߒޕ‬⡬ⷡೝỗߣή㑐ଥߥ⺖㗴ߢ޽ߞߡ߽‫ޔ‬ᵈᗧߩᜰะᕈߦଐሽߒߡ⡬ⷡᵴേߦኻ
ߔࠆⷞⷡലᨐ߇ᄌൻߔࠆߎߣ߇ಽ߆ߞߚ‫ޕ‬੹ᓟߩዷᦸੱ㑆ߪ‫ޔ‬ᄖㇱⅣႺ߆ࠄಽᢔߒߡ౉ജߐࠇࠆ⇣ߥࠆⶄᢙߩᗵⷡᖱႎࠍㄦ
ㅦߦㅪวߔࠆߎߣߦࠃߞߡ‫ޔ‬ᄙᗵⷡ⊛ߥ੐⽎ࠍ⛔ว⊛ߦ⍮ⷡߒߡ޿ࠆ‫ޕ‬ᧄ⎇ⓥߢߪ‫⇣ߥ߁ࠃߩߎޔ‬⒳ᗵⷡㅪวߩേᘒ࡮ᯏᐨࠍ⺞ߴࠆߎߣࠍ⋡⊛ߣߒߡ‫ޔ‬੖ᗵߩਛߢ߽ఝ૏ߥᗵⷡߢ޽ࠆⷞⷡߣ⡬ⷡߩ⚵ߺวࠊߖೝỗߩᄌൻߦኻߔࠆᣧᦼ⣖ᵴേߩᬌ⸛ࠍⴕߞߡ߈ߚ‫ޕ‬੹࿁ߩ⚿ᨐ߆ࠄ‫ߢ߹ࠇߎޔ‬ႎ๔ߒߡ߈ߚⷞ⡬ⷡᖱႎߩⶄวᄌൻ㧔଀
V1A1, V2A2, V1A1, V2A2, V2A1, ̖㧕ߦኻߔࠆᣧᦼ⣖ᵴേߦട߃ߡ‫ⷞޔ‬⡬ⷡᖱႎߩหᤨᄌൻ㧔଀ V1A1, V1A1, V1A1, V1A1, V2A2, ̖㧕ߦኻߒߡ߽
․⇣⊛ߦ಴⃻ߔࠆᣧᦼ⣖ᵴേ߇ሽ࿷ߔࠆߎߣ߇᣿ࠄ߆ߦߥߞߚ‫ޕ‬೨⠪ߦ㑐ߒߡߪ‫ᤨޔ‬㑆๟ᵄᢙ㗔ၞߦ߅ߌࠆ⸃ᨆࠍㅴ߼‫ߚࠇߐ⊒⺃ޔ‬ᣧᦼ⣖ᵴേ߇‫ߥ߁ࠃߩߤޔ‬⢛᥊⣖ᓞേߦᡰ߃ࠄࠇߡ޿ࠆߩ߆ࠍ⹦⚦ߦ⷗ߡ޿ߊ੍ቯ
ߢ޽ࠆ‫ߦ․ޕ‬ૐ๟ᵄᏪၞߦ⌕⋡ߒ‫⸥ޔ‬ᙘߩෳᾖ߿ⷡ㉕ߥߤߣߩ㑐ଥࠍតߞߡ޿ߊ‫ߚ߹ޕ‬ᓟ⠪ߦ㑐ߒߡߪ‫ⵍޔ‬㛎⠪ᢙࠍჇ߿ߒߡ⛔⸘⊛ߥ⼏⺰ࠍߒߡ޿ߊߣ౒ߦ‫⾰⊹ޔ‬ਅߩ⣖ౝㆊ⒟ߦߟ޿ߡ⺞ߴߡ޿ߊᔅⷐ߇޽ࠆ‫ޕ‬MEG
߇⧰ᚻߣߔࠆᷓㇱߩ⣖ㇱ૏ߩᵴᕈߦ㑐ߒߡߪ‫ޔ‬น⢻ߢ޽ࠇ߫ fMRI ߥߤߩઁߩࠕࡊࡠ࡯࠴ࠍ↪޿ࠆ‫⛔ࠍࠄࠇߎޕ‬ว⊛ߦ⼏⺰ߔࠆߎߣߢ‫ޔ‬㜞ᰴߩㅪ
ว㊁ߛߌߢߥߊ‫ޔ‬ૐᰴߩᗵⷡ㊁߿⊹⾰ਅߩㇱ૏߽⇣⒳ᗵⷡㅪวߦ߅޿ߡ
㊀ⷐߥᓎഀࠍᨐߚߒߡ޿ࠆߎߣࠍᬌ⸽ߒߡ޿ߊ‫ޕ‬ － 32 －

⴫㧝㧚ⷞ⡬ⷡೝỗ࿑㧝㧚ⷞ⡬ⷡೝỗ♽೉ߩ଀ὐሼ⸅⺒⺖㗴

ὐሼ⸅⺒⺖㗴

ᥧ▚⺖㗴ᥧ▚⺖㗴࿑㧞㧚⡬ⷡ㊁ߦ߅ߌࠆ⣖ᵴേᒝᐲߩ⚻ᤨ⊛ᄌൻ

－ 33 －

Fast Į Ꮺၞ߆ࠄߩᷓㇱ⣖ᵴേ᛽಴ᴺߩᬌ⸛᩿␽㓷 1, ੹੗⛗⟤ሶ 2, Ꮉ෶ᢅ↵ 21⁛㧕ᖱႎㅢା⎇ⓥᯏ᭴ ⣖ᖱႎㅢାⲢว⎇ⓥ࠮ࡦ࠲࡯౓ᐶ⋵␹ᚭᏒ⷏඙ጤጟ↸ጤጟ 588-2
2␹ᚭᄢቇᄢቇ㒮 ଻ஜቇ⎇ⓥ⑼ ౓ᐶ⋵␹ᚭᏒ㗇⏴඙෹߇ਐ 7-10-2
email: ykatagiri@nict.go.jp
Keywords: ၮᐙ⣖ᯏ⢻㧘ࡕࡁࠕࡒࡦ␹⚻㧘⣖ᵄ㧘ǩ࡝࠭ࡓⷐᣦ⥝ᅗ㧛ᛥ೙⊛ߦ⊹⾰ࠍ⺞ᢛߔࠆⷞᐥ‫ⷞޔ‬ᐥਅㇱ‫ޔ‬਄ㇱ⣖ᐙࠍਛᔃߣߔࠆ
⊹⾰ਅߩᷓㇱ⣖ᯏ⢻ߪ᭽‫⹺ߥޘ‬⍮ᵴേࠍᡰ߃ߡ޿ࠆ‫ߩߎޕ‬ᷓㇱ⣖ᵴേߪᓟ㗡ㇱߦ಴⃻ߔࠆǩㅦᵄᏪၞ߆ࠄ᛽಴น⢻ߣߐࠇࠆ߇‫ߥ⚦⹦ޔ‬᜼േ߿ࡔࠞ࠾࠭ࡓߪචಽߦ⸃᣿ߐࠇߡ޿ߥ޿‫ᧄޕ‬ႎ๔ߢߪ‫ޔ‬⒳‫ࠬ࡟࠻ࠬߩޘ‬ਅߢᷓㇱ⣖ᵴേࠍᄌ⺞ߒߚᤨߩǩㅦᵄᏪၞߩᒝᐲߩᄌൻ߆ࠄᷓㇱ⣖ᵴേߩផቯࠍ⹜ߺߚ‫ޕ‬
Fig. 1 ߪ‫ޔ‬ஜᏱⵍ㛎⠪㧔30 ઍ↵ᕈ㧕ߦኻߒߡᥧ▚ࠬ࠻࡟ࠬ㧔N ߆ࠄ N1,N2
ࠍ੤੕ߦᷫ▚㧦N=1509, N1=13, N2=7)ࠍ⽶⩄ߒߚᤨߩ⣖ᵄߩ․ᓽߢ޽ࠆ‫ޕ‬ᤨ㑆⚻ㆊߣߣ߽ߦ mid ǩ(10㨪11Hz)ߪᷫዋ‫ޔ‬fast ǩ(12㨪14Hz)෸߮ slow
ǩ㧔8㨪9Hz㧕ߪჇᄢߔࠆ௑ะߦ޽ߞߚ‫ޔ߅ߥޕ‬೨㗡ㇱߩǩ1 Ꮺၞ㧔8㨪11Hz㧕ߪǩfast ߣᱜߩ⋧㑐ࠍ␜ߒߚ‫৻ޕ‬ᣇ‫ޔ‬ᖱേ⊛ࠬ࠻࡟ࠬߣߒߡ㖸ᭉࠍ⡬߈ߥ߇ࠄቅ⁛ߦ⠴߃ࠆ⹜㛎ࠍ 30 ઍ↵ᕈஜᏱ⠪ ߦታᣉߒߚߣߎࠈ‫⹜ޔ‬㛎㐿ᆎᓟ‫ޔ‬15 ಽߏࠈ߆ࠄቅ⁛㧔⟎߈෰ࠅ㧕ᗵߦ઻߁ਇ቟ᗵߩ਄᣹ߦ઻޿ fast, slowߣ߽ૐਅߔࠆߩߦኻߒ mid ߪਇ቟ቯᕈࠍ๒ߒ‫৻ޔ‬ᣇ‫⚻ޔ‬ㆊᤨ㑆 45 ಽ߆ࠄߪⅣႺ㖸߆ࠄቶౝߢߩੱߩ᳇㈩߇ᗵߓࠄࠇ቟ᔃᗵ߇ᓧࠄࠇߡ޿ࠆ⁁ᴫߢߪ slow, mid ߪߣ߽ߦᷫዋߔࠆ߇ fast ߪჇᄢߔࠆ⚿ᨐࠍᓧߚ㧔Fig. 2㧕‫ޕ‬ࡅ࠻ߩ⠴ࠬ࠻࡟ࠬ෻ᔕߪⶄ㔀ߢ޽ࠅ‫ࠬ࡟࠻ࠬޔ‬ශടߦࠃࠅᷓㇱ⣖ᵴേ߇৻ᓞߦૐਅߔࠆߣߔࠆߩߪ⺋ࠅߢ޽ࠆ‫ޕ‬ᥧ▚ߥߤߩ࠲ࠬࠢࠍ⺖ߔࠬ࠻࡟ࠬ⽶⩄ߢ⹺߼ࠄࠇߚ fastǩߩჇᄢߪ‫ࠍࠬ࡟࠻ࠬޔ‬స᦯ߔࠆߚ߼ߦᷓㇱ⣖ᵴേ߇⾮ᵴߒߚ߽ߩߣ⠨߃ࠄࠇࠆ‫ޕ‬೨㗡ㇱߩǩ1 ߩ਄᣹ߪ࠲ࠬࠢߦኻߒ⣖ᯏ⢻ߩ⽶⩄ࠍシᷫ㧔⣖ᵴേࠍਅߍߡ߽ࡄࡈࠜ࡯ࡑࡦࠬ߇ૐਅߒߥ޿ߎߣࠍ
⣖߇ቇ⠌㧕ߒߚ⚿ᨐߢ޽ࠆߣ⠨߃ࠄࠇࠆ‫৻ޕ‬ᣇ‫ޔ‬ਇ቟ࠍ઻߁ࠬ࠻࡟ࠬߢ
⹺߼ࠄࠇߚ⣖ᵄᒝᐲߩૐਅ‫ޔ‬midǩᏪၞߩਇ቟ቯᕈߪ‫ޔ‬ᚳ᩶ᩭ⾮ᵴߦࠃࠆⷡ㉕ᕈᷓㇱ⣖ᵴേߩᛥ೙߇↢ߓߚ߽ߩߣផኤߐࠇߚ‫ޕ‬੹ᓟ‫ߦࠄߐޔ‬᭽‫ߡ޿ߟߦࠬ࡟࠻ࠬߥޘ‬⣖ᵄᒝᐲߩᤨ㑆ᄌേߩ․ᓽࠍ᛽಴ߒ‫ޔ‬ᷓㇱ⣖ᵴേߣߩ⋧㑐ࠍ᣿ࠄ߆ߦߒߡ޿ߊ‫ޕ‬－ 34 －

㪍㪇

㪌㪇

㪜
㪜
㪞
㩷㫇㫆
㫎
㪼
㫉

㪦㪈

Dmid

㪋㪇

㪊㪇

Dfast

㪉㪇

㪈㪇

Dslow

㪇
㪌㪌 㪇

㪌

㪈㪇

㪫㫀㫄㪼㩿㫄㫀㫅㪀㪌㪇㪸㫃㫇㪿㪸㪈㩷㪧
㫆㫎㪼㫉㩷㪸㫋㩷㪝
㫇㪈

㪋㪌
㪋㪇

㪝㫇㪈

㪊㪌
㪊㪇
㪉㪌
㪉㪇
㪈㪌
㪈㪇
㪌
㪇
㪇

㪌

㪈㪇

㪫㫀㫄㪼㩿㫄㫀㫅㪀

Figure 1 Temporal power variations of EEG training signals under emotional
stress (calculation).
㪍㪇

Dmid

Feelinganxiety㪌㪌㪌㪇㪜㪜㪞㩷㪧㫆㫎㪼㫉

㪋㪌
㪋㪇

Dfast

㪊㪌
㪊㪇
㪉㪌
㪉㪇
㪈㪌
㪈㪇

Dslow

㪌
㪇
㪇

㪌

㪈㪇

㪈㪌

㪉㪇

㪉㪌

㪊㪇

㪊㪌

㪋㪇

㪋㪌

㪌㪇

㪌㪌

㪍㪇

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㪫㫀㫄㪼㩿㫄㫀㫅㪀

Fig.2TemporalEEGpower
variationsunderstresswith
anxietyfeeling.
Figure 2 Temporal EEG power variations under stress with anxiety feeling.

－ 35 －

ዪᚲ಄ළߦࠃࠆోりᕈ᷷ᾲࠬ࠻࡟ࠬ✭๺ߩ⣖ᯏ⢻ࡀ࠶࠻ࡢ࡯ࠢ

᩿␽㓷 1, ੹੗⛗⟤ሶ 2, Ꮉ෶ᢅ↵ 21⁛㧕ᖱႎㅢା⎇ⓥᯏ᭴ ⣖ᖱႎㅢାⲢว⎇ⓥ࠮ࡦ࠲࡯౓ᐶ⋵␹ᚭᏒ⷏඙ጤጟ↸ጤጟ 588-2
2␹ᚭᄢቇᄢቇ㒮 ଻ஜቇ⎇ⓥ⑼ ౓ᐶ⋵␹ᚭᏒ㗇⏴඙෹߇ਐ 7-10-2
email: ykatagiri@nict.go.jp
Keywords: ᾲࠬ࠻࡟ࠬ㧘⣖ᵄ㧘ǩ࡝࠭ࡓ㧘Waxing &Waningⷐᣦ㜞᷷ⅣႺ᥸㔺ߪᩭᔃ᷷ࠍ਄᣹ߐߖߡ⣖ᵴേࠍᕆㅦߦૐਅߐߖ‫ߦࠄߐޔ‬ᵈᗧᰳ㒱ߥߤ᭽‫ߥޘ‬ᯏ⢻㓚ኂࠍ⺃⊒ߔࠆ‫ᧄޕ‬ႎ๔ߢߪ‫ޔ‬ૐࠛࡀ࡞ࠡ࡯ߢല
₸ࠃߊᩭᔃ᷷ࠍૐਅߐߖࠆ㗪ㇱ಄ළᴺ߇⣖ᵴേࠍᕆㅦߦ࿁ᓳߐߖࠆߣห
ᤨߦਇᔟᗵࠍᒝߊᛥ೙ߢ߈ࠆߎߣࠍ↢ℂᜰᮡߥࠄ߮ߦ⣖ᵄߩ․ᓽ߆ࠄቴⷰ⊛ߦᬌ⸽ߒߚ‫ޕ‬ 㗪ㇱߪᄥ޿േ㕒⣂߇⊹⤏ㄭߊࠍㅢࠆ‫ޕ‬േ⣂ߪ㗡㜈㛽ߩౝᄖߦᷰࠅዷ㐿ߔࠆ‫ޔ߼ߚߩߎޕ‬㗪ㇱࠍ಄ළߔࠆߎߣߢ⣖ࠍല₸ࠃߊ಄ළߔࠆߣหᤨߦ‫ޔ‬㕒⣂ࠍ੺ߒߡᔃ⤳ߦㆶᵹߔࠆⴊᶧࠍ಄ළߔࠆߎߣߢⓏ߿߆ߦり૕ߩᷓㇱࠍ಄ළߔࠆߎߣ߇น⢻ߢ޽ࠆ‫ޕ‬ߘߎߢ‫ޔ‬㜞᷷ⅣႺ᥸㔺㧔40͠ߩ᷷᳓ߦᶐẢ㧕ਅߢߩ૕᷷‫⥄ޔ‬ᓞ␹⚻ߥࠄ߮ߦ⣖ᵄ ᷹ቯࠍⴕ޿ߟߟ‫ޔ‬㗪ㇱ಄ළߩലᨐࠍᬌ⸽ߒߚ‫ޕ‬㜞᷷ⅣႺ᥸㔺ߦࠃࠅ GSR ߇਄᣹ߒߚ‫ߪࠇߎޕ‬ᾲೝỗߦኻߔࠆ⊹⤏੤ᗵ␹⚻ߩ੣ㅴߣ⠨߃ࠄࠇࠆ‫ޕ‬㗪ㇱ಄ළߦࠃࠅ᝿߅ࠃ߮㗻㕙ߩ⊹⤏᷷ߪ 37.4͠߆ࠄ 36.5͠߹ߢᕆㅦߦૐਅߒߚ‫ޔߚ߹ޕ‬ᔃᜉᄌേ߆ࠄផቯߢ߈ࠆ⥄ᓞ␹⚻ᵴേ⸘᷹ߢߪ‫ޔ‬㗪ㇱ಄ළߦࠃࠅ๭ๆᕈᵢᕈਇᢛ⣂߇⹺߼ࠄࠇߚ‫ߪࠇߎޕ‬ਥߦ᷷ᾲࠬ࠻࡟
ࠬߩ✭๺߇ነਈߒߡ޿ࠆ߽ߩߣ⠨߃ࠄࠇࠆ‫৻ޕ‬ᣇ‫⊒⥄ޔ‬ᕈ⣖ᵄߢߪ‫ޔ‬ǩ࡝࠭ࡓߦ⃻ࠇࠆᄌേ(Waxing & Waning: W&W)ߩ๟ᦼ߇ᾲࠬ࠻࡟ࠬߦࠃ
ࠅᑧ㐳߹ߚߪᶖᄬߔࠆ௑ะߦ޽ࠆ߽ߩߩ‫ޔ‬㗖ㇱ಄ළߦࠃࠅ W&W ߇࿁ᓳߔࠆߎߣ߇ታ㛎ߢ᣿ࠄ߆ߣߥߞߚ(Fig. 1)‫ޕ‬㜞᷷ⅣႺ߳ߩ᥸㔺ߦࠃࠅᕆㅦߦ૕᷷߇਄᣹ߒ‫޿઻ߦࠇߘޔ‬⣖߽᷷޽ࠆ⒟ᐲ਄᣹ߒߚߎߣߪኈᤃߦផኤߢ߈ࠆ‫ޕ‬W&W ߪㅢᏱߩ⣖ᵴേߢߪᵴ⊒ߦ⊒↢ߔࠆߎߣ߇ࠊ߆ߞߡ߅ࠅ‫ޔ‬W&W ߩᶖᄬߪߥࠎࠄ߆ߩ⣖ᯏ⢻ߩૐਅࠍᗧ๧ߒߡ޿ࠆ‫ޕ‬ᾲࠬ࠻࡟ࠬߪ⣖ో૕ߦ෸߱⣖ᯏ⢻ૐਅߢ․ቯߩㇱ૏ߦ↱᧪ߔࠆ߽ߩߢߪߥ޿ߎߣ߆ࠄ‫ޔ‬W&W ᶖᄬߪ⣖ౝࡀ࠶࠻ࡢ࡯ࠢߩᯏ⢻ਇోߦࠃࠅࠃࠆ߽ߩߢ޽ࠆߣផኤߒߡ޿ࠆ‫ޕ‬－ 36 －

Figure 1 Vanishing Waxing & Waning of EEG training signals by thermal
stress and its recovery by neck cooling.

－ 37 －

ᔃℂቇ⊛ᬌᩏߩᚑ❣ߣࠬ࠻࡟ࠬ⠴ᕈߣߩ⋧㑐ߦ㑐ߔࠆၮᐙ⣖ᯏ⢻߆ࠄⷰߚ৻⠨ኤ੹੗⛗⟤ሶ 1,᩿␽㓷 2㧘Ꮉ෶ᢅ↵ 1

12

␹ᚭᄢቇᄢቇ㒮 ଻ஜቇ⎇ⓥ⑼ ౓ᐶ⋵␹ᚭᏒ㗇⏴඙෹߇ਐ 7-10-2⁛㧕ᖱႎㅢା⎇ⓥᯏ᭴ ⣖ᖱႎㅢାⲢว⎇ⓥ࠮ࡦ࠲࡯౓ᐶ⋵␹ᚭᏒ⷏඙ጤጟ↸ጤጟ 588-2
email:emikoimai@stu.kobe-u.ac.jp
Keywords: ࠬ࠻࡟ࠬ㧘ᵈᗧᬌᩏ㧘ၮᐙ⣖ᯏ⢻㧘⊹⤏ࠦࡦ࠳ࠢ࠲ࡦࠬ

ⷐᣦ
ᔃℂቇ⊛ታ㛎ߦ߅޿ߡߪ‫ⵍޔ‬㛎⠪ࠍဋ৻Უ㓸࿅ߣߒߡ઒ቯߒߚ⛔⸘ቇ⊛⸃ᨆ߇ਥᵹߢ޽ࠆ‫ࠬ࡟࠻ࠬޔߒ߆ߒޕ‬⠴ᕈߩ୘ੱᏅ߇࠲ࠬࠢᚑ❣ߦ෻ᤋߐࠇࠆน⢻ᕈ߇㜞޿ߎߣࠍ⠨ᘦߔࠆߣ‫ޔ‬ห৻Უ㓸࿅ߣߺߥߒߚ⸃ᨆߦߪ
ਇ⿷߇↢ߓࠆ‫ᧄޕ‬ႎ๔ߢߪ‫ߩ⩄⽶ࠬ࡟࠻ࠬޔ‬㜞޿⸒⺆↥↢⺖㗴ᤨߩࠬ࠻࡟ࠬ෻ᔕߣᵈᗧᯏ⢻ࠍ᷹ࠆᔃℂቇ⊛ᬌᩏߩ⚿ᨐߩ⋧㑐ᕈࠃࠅ‫ࠬ࡟࠻ࠬޔ‬⠴ᕈߩᚑ❣߳ߩᓇ㗀ߩ௑ะߦߟ޿ߡ⠨ኤߒߚ‫ޕ‬
࿑ 1 ߪ 2 ฬߩஜᏱࡏ࡜ࡦ࠹ࠖࠕ㧔↵ᕈ 6 ฬ㧘ᅚᕈ 6 ฬ㧘23㨪28 ᱦ㧔ᐔဋ
25.00r1.76 ᱦ㧕㧕ࠍኻ⽎ߦ‫ޔ‬ᰴ‫ߣޘ‬ឭ␜ߐࠇࠆන⺆ࠍ⡬޿ߡߘࠇߦኻᔕߔ
ࠆേ⹖ࠍᗐ⿠ߒߡ╵߃ࠆߣ޿߁ࠬ࠻࡟ࠬ⽶⩄ߩ㜞޿⸒⺆↥↢࠲ࠬࠢࠍⴕߞ
ߚᤨߩ‫⺋ޔ‬෻ᔕ₸㧔㄰╵ਇน⢻‫ޔ‬ਇㆡಾ㄰╵‫ޔ‬ล᭽∝⁁ߥߤ㧕ߣ⊹⤏ࠦࡦ࠳ࠢ࠲ࡦࠬ᳓Ḱ㧔SCL㧕ᄌൻ₸㧔࠲ࠬࠢᤨ㧛቟㕒ᤨ㧕ߣߩ⋧㑐ࠍ␜ߔ‫ࠬޕ‬࠻࡟ࠬᦑ㔺ߦࠃࠆ੤ᗵ␹⚻ᵴേߩ੣ㅴࠍ␜ߔ SCL ߩᄌൻ₸߇ૐ޿⟲ߣ㜞޿⟲ߩ 2 ⟲ߦಽ߆ࠇ‫ޔ‬ฦ⟲ߦ߅޿ߡ SCL ߣ⺋෻ᔕߩ਄᣹ߦ⋧㑐ᕈ߇⹺߼ࠄࠇ
ߚ‫ޕ‬േ⹖ᗐ⿠࠲ࠬࠢᤨߣห᭽ߩ⣖ㇱ૏㧔೨㗡೨㊁‫ޔ‬೨ㇱᏪ⁁࿁㧕߇ᵴേߔࠆߎߣ߇ႎ๔ߐࠇߡ޿ࠆ 2 ⒳ߩᵈᗧᬌᩏࠍㅊ⹜ߒߚ⚿ᨐ‫ޔ‬ᚑ❣ߪേ⹖ᗐ⿠
࠲ࠬࠢᚑ❣ߣห᭽ߦ 2 ⟲ߦಽ߆ࠇߚ㧔࿑ 2㧕‫ޔߦࠄߐޕ‬ᚑ❣ߣ㧿㧯㧸ᄌൻ₸ߩ⋧㑐ߪ‫ޔ‬㧿㧰㧹㨀㧔ࠪࡦࡏ࡞࡮࠺ࠫ࠶࠻࡮ࡕ࠳࡝࠹ࠖ࡯࠭࡮࠹ࠬ࠻㧕ߢߪ㨂ߩሼဳ‫ޔ‬㨀㧹㨀㧔࠻࡟ࠗ࡞࡮ࡔ࡯ࠠࡦࠣ࡮࠹ࠬ࠻㧦
㧔TMT-B㧙A㧕㧛TMT-A㧕㧕
ߢߪㅒ V ߩሼဳࠍ␜ߒ‫ޔ‬2 ߟߩ࠹ࠬ࠻㑆ߢࠬ࠻࡟ࠬ⠴ᕈߣᚑ❣ߩ㑐ଥ߇⋧෻ߔࠆߎߣ߇ࠊ߆ߞߚ‫⚿ߩߎޕ‬ᨐߪਔ࠹ࠬ࠻ߦ෻ᤋߐࠇࠆᵈᗧᯏ⢻ߦᏅ߇޽ࠆߎߣ‫ޔߜࠊߥߔޔ‬SDMT ߪಣℂㅦᐲߩㅦߐࠍ‫ޔ‬TMT-B ߪᵈᗧߩォ឵ࠍⷐߔࠆ࠹ࠬ࠻ߢ޽ࠆߎߣࠍ␜ߒߡ޿ࠆߣ⠨߃ࠄࠇࠆ‫ޔߚ߹ޕ‬ᓟ㗡ㇱఝ૏ǩ2
ᓞേ㧔11-14Hz㧕ᒝᐲߩᤨ㑆ᄌേߦߟ޿ߡಽᨆߒߚ⚿ᨐ‫ޔ‬ᚑ❣߇ૐ޿ⵍ㛎⠪ߦ߅޿ߡߪ቟㕒ᤨߦᲧߴߡᒝᐲߩૐਅ߇⪺ߒߊ㧔࿑㧟㧕‫ޔ‬ၮᐙ⣖ᵴേߩૐਅ
ߣᚑ❣ਇ⦟ߣߩ㑐ㅪᕈ߇ផኤߐࠇߚ‫ޕ‬ห৻Უ㓸࿅ߣߒߡᝒ߃ߡ޿ࠆஜᏱࡏ࡜ࡦ࠹ࠖࠕߦ߅޿ߡ߽‫ࠬ࡟࠻ࠬޔ‬⠴ᕈߦߪ୘ੱᏅ߇޽ࠅ‫ᦑߦࠬ࡟࠻ࠬޔ‬㔺ߐࠇߡ߽⢻ജࠍ⊒ើߢ߈ࠆ࠲ࠗࡊߣ‫ޔ‬ࠬ࠻࡟ࠬᗵฃᕈ߇㜞ߊ⢻ജࠍ⊒ើߢ߈ߥ޿࠲ࠗࡊߣ߇޽ࠆߎߣ߇␜ໂߐࠇ‫ޔ‬
୘ੱߩ․ᓽࠍ⹦⚦ߦᬌ⸛ߔࠆߎߣߩᔅⷐᕈ߇ឭ⿠ߐࠇߚ‫ޕ‬－ 38 －

㪎േ⹖ᗐ⿠䈮䈍䈔䉎⺋෻ᔕ₸

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቟㕒ᤨ䉕ၮḰ䈫䈚䈢⊹⤏䉮䊮䉻䉪䉺䊮䉴᳓Ḱ䈱ᄌൻ₸࿑㧝㧚േ⹖ᗐ⿠࠲ࠬࠢߦ߅ߌࠆ⺋෻ᔕ₸ߣࠬ࠻࡟ࠬ෻ᔕߣߩ⋧㑐㧔ὐ✢ߪోⵍ㛎⠪ߦ߅ߌࠆ௑ะ‫ޔ‬ታ✢ߪ 2 ⟲ߦಽ߆ࠇࠆ௑ะࠍ␜ߔ‫ޕ‬࿑ਛߦⵍ㛎⠪⇟ภࠍ⸥ߔ‫ޕ‬
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㪪㪚㪣ᄌൻ₸

㪊㪋㪪㪚㪣ᄌൻ₸

࿑㧞㧚ᵈᗧᬌᩏᚑ❣ߣࠬ࠻࡟ࠬ෻ᔕߣߩ⋧㑐ᚑ❣⦟ᅢⵍ㛎⠪േ⹖ᗐ⿠ᤨ቟㕒ᤨᚑ❣ਇ⦟ⵍ㛎⠪ၮᐙ⣖ᵴേᜰᢙ䋨ᒝᐲ䋺㪸㪅㩷㫍㪅䋩ၮᐙ⣖ᵴേᜰᢙ䋨ᒝᐲ䋺㪸㪅㩷㫍㪅䋩㪪㪛㪤㪫㆐ᚑ₸㪌㪫㪤㪫䈱ᚑ❣䋨Ⴧട₸䈱ㅒᢙ䋺㩼䋩

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㫋㫀㫄㪼㩿㫄㫀㫅㪀㪈㫋㫀㫄㪼㩿㫄㫀㫅㪀࿑㧟㧚ᚑ❣⦟ᅢ⠪ߣਇ⦟⠪ߩၮᐙ⣖ᵴേᜰᢙ－ 39 －

㪉ࡈࠖࠫࠞ࡞࡮ࠛࠢࠨࠨࠗ࠭ߩߚ߼ߩ
୘ੱ․ᕈኻᔕဳ㖸ᭉࠟࠗ࠼ࠪࠬ࠹ࡓߦ㑐ߔࠆ⎇ⓥ

 

ዊ᧖ዏሶ(⊒⴫⠪)1, ૒‫ᧁޘ‬ผ❱ 2‫ޔ‬ࠣࠛࡦ࡮࠹ࠖࠧ࠶ࠢ࡮ࠫࠚ࠶ࡊ 2‫ޔ‬ᷡᧁᐽ 21㧺㨀㨀ࠦࡒࡘ࠾ࠤ࡯࡚ࠪࡦ⑼ቇၮ␆⎇ⓥᚲ␹ᄹᎹ⋵ෘᧁᏒ᫪ߩ㉿⧯ች 3-12ᘮᙥ⟵ႶᄢቇⅣႺᖱႎቇㇱ ␹ᄹᎹ⋵⮮ᴛᏒ㆙⮮ 5322
email:

kosugi.naoko@lab.ntt.co.jp
Keywords: ㆇേ‫ޔ‬ㆇേ≮ᴺ‫ޔ‬㖸ᭉࠟࠗ࠼‫ޔ‬㖸ᭉ≮ᴺ‫ޔ‬୘ੱ․ᕈ

ⷐᣦㆇേᯏ⢻䈱⛽ᜬ䋬࿁ᓳ䉕ኻ⽎䈫䈚䈩ታᣉ䈜䉎䉣䉪䉰䉰䉟䉵䈍䉋䈶䊥䊊䊎䊥ㆇേ䈮䈍䈇䈩䋬䈠䈱䊝䉼䊔䊷䉲䊢䊮䈱⛽ᜬ䊶ะ਄䉕ᡰេ䈜䉎䈢䉄䈱㖸ᭉ䈱೑↪䈏䋬ዋ䈚䈝䈧㑐ᔃ䉕㓸䉄䈩䈇䉎䋮ᧄ⎇ⓥ䈪䈲䊐䉞䉳䉦䊦䊶䉣䉪䉰䉰䉟䉵䈱䈢䉄䈱ᭉᦛ䉕ㆬᛯ䈜䉎䈢䉄䈱ᭉᦛᬌ⚝䊶ᭉᦛടᎿᛛⴚ䉕⎇ⓥ䈜䉎䋮․䈮ታᣉ䈜䉎ㆇേ䈮ว䈇䋬䈎䈧ㆇേ䈜䉎ᧄੱ䈱ᗵᕈ䊶ᅢ䉂䈮ว䈉䈖䈫䉕⋡ᮡ䈮䋬ㆡಾ䈭ᭉᦛ䉕ㆬᛯ䊶ടᎿ䈜䉎䈖䈫䉕⋡ᜰ䈜䋮੐೨ታ㛎ߦ߅޿ߡ‫ޔ‬㖸ᭉߦวࠊߖߡㆇേߒߚᣇ߇ᭉߒߊ‫࠴ࡕޔ‬ࡌ࡯࡚ࠪࡦࠍ⛽ᜬߒ߿ߔ޿ߎߣ߇ࠊ߆ߞߚ‫ޔߢߎߘޕ‬ㆇേߦ㑐ㅪ߇޽ࠆߣᕁ
ࠊࠇࠆ㖸ᭉ․ᓽ㊂ߣߒߡ‫╓ޔ‬ภಽᢔߥߤⶄᢙߩ․ᓽ㊂ࠍ⸳⸘ߒ‫․ޔ‬ቯߩㆇേߦኻߒߡ‫ޔ‬ㆇേߩวࠊߖ߿ߔߐߥߤߦ㑐ߔࠆᓇ㗀ࠍ⺞ߴߚߣߎࠈ‫৻ޔ‬ㇱߩㆇേߣ㖸ᭉ․ᓽ㊂ߩ㑆ߦ⋧㑐߇ߺࠄࠇߚ‫ޕ‬੹ᓟߩዷᦸ   ੹࿁⋧㑐߇ߺࠄࠇߚㆇേߣ㖸ᭉ․ᓽ㊂ࠍ⿷߇߆ࠅߦ‫⊒ࠍࠄࠇߘޔ‬ዷߐߖࠆᒻߢ‫ޔ‬ㆇേߣ㖸ᭉ․ᓽ㊂ߩ㑐ଥࠍ⺞ߴߡ޿ߊ‫ޔߪߦ⊛⚳ᦨޕ‬ㆇേࡔ࠾ࡘ࡯ߣ
㖸ᭉߦኻߔࠆᧄੱߩᅢߺࠍ౉ജߔࠆߣ‫ߩߘޔ‬ㆇേߩታᣉߦ㓙ߒߡ߅൘߼ߢ߈ࠆ
㖸ᭉߩ৻ⷩ߇಴ജߐࠇࠆࠪࠬ࠹ࡓߩ᭴▽ࠍ⋡ᜰߔ‫ߩࠄࠇߘߪࠩ࡯࡙ޕ‬㖸ᭉߦวࠊߖߡᭉߒߊㆇേߢ߈ࠆࠃ߁ߦߥࠆߣ⠨߃ࠄࠇࠆ‫ޕ‬ᧄ⎇ⓥߪ‫✚ޔ‬ว⑼ቇᛛⴚળ⼏ߦࠃࠅ೙ᐲ⸳⸘ߐࠇߚᦨవ┵࡮ᰴ਎ઍ⎇ⓥ㐿⊒ᡰេࡊࡠࠣ࡜ࡓߦࠃࠅ‫ޔ‬ᣣᧄቇⴚᝄ⥝ળࠍㅢߒߡഥᚑߐࠇߚ߽ߩߢߔ‫ޕ‬－ 40 －

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ᇹ ᵏᵎ ‫ׅ‬ᴾ ʴ᧓ऴ‫˟ܖإ‬ἯἋἑὊႆᘙᨼᴾ
ᴾ
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