東海大学紀要情報通信学部
vol.3,No2,2010,pp.25-30
ᮾᾏ኱Ꮫ⣖せ᝟ሗ㏻ಙᏛ㒊Vol. , No. , 2010, pp. -ㄽᩥ
論文ᩆᛴᩆ࿨ᅾᏯᝈ⪅࣮࣒࣍ࢡࣛ࢘ࢻࡢ᳨ウ㔝ᆅ ಖ *1㸪Ⲷ㔝 ṇ *2

The Home Cloud Model for Patient Service at Emergency Medical CarebyTamotsu Noji *1 㸪Tadashi Ogino *2(received on Oct.29, 2010 & accepted on Mar.31, 2011)

Abstract
In the case of home health care or living alonH LW LVQHFHVVDU\ WR UHFRJQL]H D SDWLHQW¶V HPHUJHQW VWDWXVLQD UHDO -time and tonotify that event outside automatically at low costs. In this paper, we propose the system which can recognize the emergent
VWDWXVXVLQJ³1HJDWLYH)HHOLQJV´VHQVRUVFRQQHFWHG to the home network. When the alarm is found, this system will analyze thesituation and report it to outer facilities such as emergent lifesaving centers using PC or mobile phones.
Keywords: Emergency Medical Care 䠈 Medical Sensor Network 䠈 Medical Home Cloud 䠈 Platform as a Patient Service䜻䞊䝽䞊䝗䠖ယ᝟ሗ䝰䝕䝸䞁䜾䠈ᗈᇦ㐃ᦠ་⒪䜶䞁䝍䝥䝷䜲䝈䝰䝕䝹䠈ᅾᏯ་⒪䝩䞊䝮䜽䝷䜴䝗䠈ᩆᛴᩆ࿨䠈䜰䝷䜲䝤䝉䞁䝃⥙1㸬ᴫせ࿨ᅾᏯᝈ⪅࣮࣒࣍ࢡࣛ࢘ࢻ࡜ᗈᇦ㐃ᦠ་⒪ࢡࣛ࢘ࢻ࡜ࡢ఩⨨௜ࡅࢆ᫂ࡽ࠿࡟ࡋ࡚㸪ᩆᛴᩆ࿨≧ែࢆ㧗࠸☜⋡࡛⮬ືⓗ࡟ุูࡋ㸪ᩆᛴᩆ࿨ࢭࣥࢱ࡬ࡢ⮬ື㏻▱ࢆ⾜࠺᭱㐺࢔࣮࣒ࣛゎἲࢆᥦ᱌ࡍࡿ㸬௨ୗ㸪2㸬࡛ࡣࣔࢹࣝ໬᪉㔪࡜ᴫᛕࣔࢹࣝࡢᵓᡂ㸪3㸬࡛ࡣᩆᛴᩆ࿨ᅾᏯᝈ⪅࣮࣒࣍ࢡࣛ࢘ࢻࡢᵓᡂἲ㸪4㸬࡛ࡣホ౯࡜⪃ᐹࢆ㆟ㄽࡋ㸪᭱ᚋ࡟5㸬࡛ᮏᵓᡂἲ࡟ࡘ࠸࡚ࡲ࡜ࡵࡿ㸬ᩆᛴ་⒪ࡢ⌧ሙ࡛ࡣ㸪ᮍࡔ࡟ᩆᛴ㝲ဨࡀᦙ㏦ඛ࡜┤᥋㐃⤡ࡋ࡚400ᗋ௨ୖࡢ୰᰾⑓㝔ࡸᩆᛴᩆ࿨ࢭࣥࢱ࡞࡝ཷࡅධࢀඛࢆ᥈⣴ࡍࡿᡭἲࢆ⏝࠸࡚࠾ࡾ㸪኱ໃࡢᩆᛴᝈ⪅ࡀཷࡅධࢀඛࢆぢࡘࡅࡿࡲ࡛㛗࠸᫬㛫ࢆせࡋ㸪ࠕࡓࡽ࠸ᅇࡋࠖࡢ≧ἣ࡟⧅ࡀࡿྍ⬟ᛶࡀฟ࡚ࡁ࡚࠸ࡿ㸬ᡃࠎࡣ㸪ᩆᛴ་⒪ࡢ⌧ሙ࡛ཷࡅධࢀඛࢆぢࡘࡅࡿࡲ࡛㛗࠸᫬㛫ࢆせࡍࡿ࠸ࢃࡺࡿࠕࡓࡽ࠸ᅇࡋࠖࡢ≧ἣࢆᡴ◚ࡍࡿࡓࡵ㸪᥈⣴࡟࠿࠿ࡿ᫬㛫ࢆ▷ࡃࡍࡿ᥈⣴ࣔࢹࣝࡢ◊✲ࢆ⾜࠸㸪ࡑࡢ୍ゎỴἲࢆ♧ࡋࡓ 1)㸬୍᪉㸪ᩆᛴ་⒪ࡸᅾᏯ┳ㆤࢆᚲせ࡜ࡍࡿᅾᏯ௓ㆤࡸ୍ேࡁࡾࡢᡤᖏ࡛ࡣ㸪ᩆᛴᩆ࿨㸦࢔࣮࣒ࣛ㸧≧ែࡢࣜ࢔ࣝࢱ࢖࣒࡞ᢕᥱ࡜࢔࣮࣒ࣛ≧ែࢆᩆᛴᩆ࿨ࢭࣥࢱࡸ௓ㆤࢭࣥࢱ࡞࡝እ㒊࡬ࡢ⮬ື㏻▱ࡢṇ☜ᛶࡀồࡵࡽࢀ࡚࠸ࡿ㸬ᡃࠎࡣ㸪ᗈᇦ㐃ᦠ་⒪ࢿࢵࢺ࣮࣡
ࢡࢩࢫࢸ࣒◊✲఍ 2)࡟࠾࠸࡚㸪୍ࡘࡢ⑓㝔ࡀࡍ࡭࡚ࡢ་⒪ᶵ⬟ࡸ་⒪᝟ሗ࡞࡝ࡢᝈ⪅ࢧ࣮ࣅࢫ㸦PS㸸PatientService㸧ࢆᥦ౪ࡍࡿࡢ࡛ࡣ࡞ࡃ㸪デ⒪ᡤࡸ⑓㝔㸪࠿࠿ࡾࡘࡅ་࡞࡝ࡢ་⒪ᶵ㛵࠶ࡿ࠸ࡣಖ೺⚟♴ᶵ㛵ࡀࡑࢀࡒࢀ
ᣢࡗ࡚࠸ࡿ≉᭷ࡢᶵ⬟ࡸ་⒪ᶵჾ㸪་⒪᝟ሗࡢඹྠ฼⏝࡞࡝ࡑࡢᙺ๭ࢆศᢸࡍࡿᆅᇦᐦ╔ᆺᅾᏯデ⒪ᨭ᥼ࢆྍ⬟࡜ࡍࡿᗈᇦ㐃ᦠ་⒪࢚ࣥࢱࣉࣛ࢖ࢬࣔࢹࣝࡢᵓ⠏ࢆ┠ᣦࡋ࡚࠸ࡿ 3)㸬ࣃࣈࣜࢵࢡࢡࣛ࢘ࢻᆺ࢚ࣥࢱࣉࣛ࢖ࢬࣔࢹࣝ࡜ࡋ࡚ᗈᇦ㐃ᦠ་⒪ࢡࣛ࢘ࢻ㸪ࣉࣛ࢖࣮࣋ࢺࢡࣛ࢘ࢻᆺ࢚ࣥࢱࣉࣛ࢖ࢬࣔࢹࣝ࡜ࡋ࡚࣮࣒࣍ࢡࣛ࢘ࢻࡢᵓ⠏ࢆ┠ᣦࡋ࡚࠸ࡿ 4)㸬
ᮏ◊✲ࡢ┠ⓗࡣ㸪ᅾᏯ་⒪࡟࠾ࡅࡿᅾᏯᝈ⪅ࢧ࣮ࣅࢫࢡࣛ࢘ࢻྥࡅᩆᛴᩆ࿨ࢩࢫࢸ࣒ࡢ୍ᵓᡂἲ㸪≉࡟᭱㐺࢔࣮࣒ࣛゎἲࢆ☜❧ࡍࡿࡇ࡜࡛࠶ࡿ㸬ᮏ✏࡛ࡣ㸪㡢ኌ⏬ീ࡞࡝ࡢ࣐ࣝࢳࢭࣥࢧ⥙ࢆ⏝࠸ࡓ࣮࣒࣍ࢡࣛ࢘ࢻ㸦ࣉࣛ࢖࣮࣋ࢺࢡࣛ࢘ࢻ㸧㸪≉࡟೺ᗣ⟶⌮㸪ᅾᏯデ⒪㸪ᩆᛴデ⒪㸪
㐲㝸デ⒪ࢆ┠ⓗ࡜ࡍࡿᝈ⪅ࢧ࣮ࣅࢫࢡࣛ࢘ࢻྥࡅᩆᛴᩆ

2. ࣔࢹࣝ໬᪉㔪࡜ᴫᛕࣔࢹࣝࡢᵓᡂ
2.1. ࣔࢹࣝ໬ࡢㄢ㢟࡜᪉㔪㸦1㸧ඛ⾜◊✲ඛ⾜ᢏ⾡࡜ࡋ࡚ࡣ㸪࢔࣮࣒ࣛ≧ែࡀⓎ⏕ࡋࡓሙྜ㸪࢔࣮࣒ࣛ≧ែ࡟㝗ࡗࡓᮏேࡀ㸪ணࡵྛᐙᗞෆ࡟⏝ពࡉࢀࡓ࣎ࢱࣥࢆᢲࡍࢩࢫࢸ࣒ࡸ㸪ᩆᛴᩆ࿨ࢭࣥࢱࡸ⮬἞య࡞࡝࡟㟁ヰࡍࡿࢩࢫࢸ࣒ࡀ୍⯡ⓗ࡟ᬑཬࡋ࡚࠸ࡿ㸬ࡋ࠿ࡋ㸪ࡇࢀࡽࡢࢩࢫࢸ࣒ࡢ᭱኱ࡢḞⅬࡣ㸪࢔࣮࣒ࣛ≧ែࡀ✺↛ゼࢀࡓሙྜ㸪㏻▱࣎ࢱࣥࡸᦠᖏ㟁ヰࡀ㏆ࡃ࡟࡞࠸ሙྜࡣ
ᑐᛂ࡛ࡁ࡞࠸Ⅼ࡛࠶ࡿ㸬ᮏ◊✲ࡣ㸪ேⅭⓗືస㸪᧯స࠿ࡽࡢ⬺༷ࢆᅗࡾ㸪࢔࣮࣒ࣛ≧ែࡢ⮬ືㄆ㆑࡜⮬ື㏻▱ࢆྠ᫬࡟ే⾜ࡋ࡚⾜࠺஦ࢆ┠ᶆ࡟ࡍࡿ㸬⌧ᅾ㸪⏕࿨άື㸪ືࡁ㸪࿧྾㸪⬦ᢿ㸪ᚰ⮚ࡢ㰘ື㸪⬻Ἴ࡞࡝ࡢࢭࣥࢫ᝟ሗࡣ㸪Ἴᙧࡸࢢࣛࣇ࡞࡝ྍど໬ࡍࡿࢩࢫࢸ࣒ࡣᏑᅾࡍࡿ㸬ࡇࡢࡼ࠺࡞ࢩࢫࢸ࣒ࡣ㸪ࢢࣛࣇࡸᅗ
ᙧࢆே㛫ࡀぢุ࡚᩿ࡍࡿࡓࡵ㸪ᖖ᫬㸪┘どయไࢆ࡜ࡿᚲ
せࡀ࠶ࡿ㸬ࡉࡽ࡟ࡣ㸪ࢩࢫࢸุ࣒᩿⪅ࡢㄞᙳ⬟ຊ࡟౫Ꮡࡍࡿࡓࡵ㸪ุ᩿࣑ࢫࡀ⏕ࡌࡸࡍࡃ㸪࢔࣮࣒ࣛㄆ㆑⋡ࡣపࡃ㸪ぢⴠ࡜ࡋࡓሙྜࡣ㸪᭱ᝏ0㸣࡛࠶ࡿ㸬ᮏᢏ⾡ࡣ㸪ࢭࣥࢫ᝟ሗࡢゎᯒ㸪࢔࣮࣒ࣛฎ⌮ࢆࢩࢫࢸ࣒ഃ࡛⾜࠺ࡇ࡜㸪࢔࣮࣒ࣛㄆ㆑⋡ࡢྥୖࢆ┠ⓗ࡜ࡋ㸪᪥ᖖ⏕άࡢࣜࢬ࣒࠿ࡽ㸪࢔࣮࣒ࣛ≧ែࢆ⮬ື᳨ฟࡍࡿ࢔ࣝࢦࣜࢬ࣒࡟௚࡜ࡢᕪู໬ࡀ࠶ࡿ㸬*1 ᝟ሗ㏻ಙᏛ㒊⤒Ⴀࢩࢫࢸ࣒ᕤᏛ⛉ᩍᤵ*2 ୕⳻㟁ᶵ࢖ࣥࣇ࢛࣓࣮ࢩࣙࣥࢸࢡࣀࣟࢪ࣮㸦ᰴ㸧̿
1 −
̿
− 25

救急救命在宅患者ホームクラウドの検討࣊ࢵࢲ࣮㸦2㸧⌧≧ࢩࢫࢸ࣒ࡢㄢ㢟⌧ᅾࡢᩆᛴᩆ࿨ᅾᏯࢩࢫࢸ࣒ࡣ㸪୍⯡ⓗ࡟ࢿࢵࢺ࣮࣡ࢡ࡬ࡢ᥋⥆ࡸࢹ࣮ࢱゎᯒ࡟PCά⏝ࢆ๓ᥦ࡜ࡋ࡚࠸ࡿ㸬ࡋ࠿ࡋ㸪PCࡣỗ⏝฼⏝ࢆ┠ⓗ࡜ࡍࡿࡓࡵᅾᏯࢩࢫࢸ࣒࡟࡜
ࡗ࡚ࡣ୙ᚲせ࡞ᶵ⬟ࡶ࠶ࡾ㸪ࢿࢵࢺ࣮࣡ࢡ᥋⥆ࡀ㐜࠸࡞࡝ᇶᮏⓗ࡞ၥ㢟ࡀ࠶ࡿ㸬ࡲࡓ㸪୍⯡ⓗ࡟ࢭࣥࢧࡣ㸪᭷⥺࡛⤖ࡤࢀࡓᶵჾᵓᡂࢆ᥇ࡗ࡚࠾ࡾ㸪ಶࠎࡢ⏕άࣜࢬ࣒࡟ᑐᛂࡋ࡚㸪ࢭࣥࢧࢆᰂ㌾࡟⤌ࡳྜࢃࡏࡿࡇ࡜ࡀ࡛ࡁ࡞࠸ၥ㢟ࡀ࠶ࡿ㸬ࡉࡽ࡟㸪࢔࣮࣒ࣛ≧ែࡢ᭱㐺ゎࡀ⮬ືⓗ࡟ᚓࡽࢀࡿ☜⋡ࢆྥୖࡉࡏࡿ⤌ࡳྜࡏゎἲࡀ᫂ࡽ࠿࡟࡞ࡗ࡚࠸࡞࠸࡞࡝ࡢၥ㢟ࡀ࠶ࡿ㸬
㸦3㸧ࣔࢹࣝ໬ࡢ᪉㔪௨ୗ㸪ᩆᛴᩆ࿨ࢩࢫࢸ࣒ࡢࣔࢹࣝ໬ࡢ᪉㔪ࢆ♧ࡍ㸬ձ࣡࢖ࣖࣞࢫ࢔ࣛ࢖ࣈࢭࣥࢧ࣮⥙࠿ࡽධຊࡉࢀࡿ࢔ࣛ࢖ࣈ᝟ሗࡢ⤌ࡳྜࢃࡏ࡟ࡼࡾಶࠎࡢ⏕άࣜࢬ࣒ࢆศᯒࡋ㸪ࡑࡢศᯒ⤖ᯝ࡟ᇶ࡙ࡁ࢔ࣛ࢖ࣈ≧ែࡢᶆ‽᭱㐺ゎࢆタᐃ࡛ࡁࡿᡭἲࢆ☜❧ࡋ㸪ᶆ‽ⓗ࡞࢔ࣛ࢖ࣈ≧ែ࠿ࡽ࢔࣮ࣛ
࣒≧ែ࡟㑄⛣ࡍࡿሙྜࡢ᭱㐺ゎ㸦௨ୗࠕ᭱㐺࢔࣮࣒ࣛゎࠖ࡜࠸࠺㸧ࢆ90㸣ࡢ☜⋡࡛⮬ື᳨ฟ࡛ࡁࡿ᭱㐺࢔࣮࣒ࣛゎἲࢆ☜❧ࡍࡿ㸬ղ⮬ື᳨ฟࡉࢀࡿ᭱㐺࢔࣮࣒ࣛゎࡢฟຊ⤖ᯝࢆᩆᛴᩆ࿨㸦࢔࣮࣒ࣛ㸧᝟ሗ࡜ࡋ࡚ࢿࢵࢺ࣮࣡ࢡࢆ௓ࡋ࡚ᩆᛴᩆ࿨ࢭࣥࢱ࡞࡝㛵㐃ሙᡤ࡟⮬ື㏻ሗࡍࡿࢩࢫࢸ࣒ࡢᇶᮏ᪉
ᘧࢆ☜❧ࡍࡿ㸬ճࢭࣥࢧ᝟ሗࢆယ᝟ሗ(NF㸸Negative Feelings)࡜ᤊ࠼㸪ယ᝟ሗฎ⌮ࢩࢫࢸ࣒ࢆᩆᛴᩆ࿨ࢩࢫࢸ࣒࡟⤌ࡳ㎸ࡴ㸬մᗈᇦ㐃ᦠ་⒪ࢡࣛ࢘ࢻ࡜࣮࣒࣍ࢡࣛ࢘ࢻ࡜ࡢᙺ๭ศᢸࢆ᫂ࡽ࠿࡟ࡍࡿ㸬௨ୗ㸪ࡇࢀࡽࡢㄢ㢟ࢆゎỴࡍࡿ୍ࡘ࡜ࡋ࡚㸪⮬ື㏻ሗᶵ⬟௜ࡁᩆᛴᩆ࿨ᅾᏯᝈ⪅࣮࣒࣍ࢡࣛ࢘ࢻࡢᶵ⬟ࣔࢹࣝࢆᥦ᱌ࡍࡿ㸬
2.2. ယ᝟ሗฎ⌮ࢩࢫࢸ࣒

㸦1㸧ឤ᝟ฎ⌮ࢩࢫࢸ࣒ࡢᴫᛕࣔࢹࣝᡃࠎࡣ⏕య᝟ሗࢆឤ᝟ฎ⌮ࡢ஦㇟㸦event㸧࡜ᤊ࠼࢖࣋
ࣥࢺࡢ≧ែ࠿ࡽ㛫᥋ⓗ࡟ࢩࢫࢸ࣒≧ែ㑄⛣ࢆⓎ⏕ࡉࡏࡿឤ᝟ฎ⌮ࢩࢫࢸ࣒࢔࣮࢟ࢸࢡࢳࣕࡢ◊✲㛤Ⓨࢆ⾜ࡗ࡚ࡁࡓ 6)㸬
Fig. 1࡟ᡃࠎࡀ◊✲ࢆ㐍ࡵ࡚࠸ࡿឤ᝟ฎ⌮ࢩࢫࢸ࣒ࡢ≧ែ㑄⛣ᴫᛕࣔࢹࣝࢆ♧ࡍ㸬ឤ᝟ฎ⌮ࡢ⤖ᯝࡣ㸪ឤぬ࣭ឤ᝟ࡢ␲ఝⓎ⏕㸦่⃭ࡢⓎ⏕㸧࡜ࡋ࡚ே㛫࡟ఏ㐩ࡉࢀࡿ㸬ឤ᝟ฎ⌮ࢩࢫࢸ࣒ෆࡢࣉࣟࢭࢫࡣ㸪࢖࣋ࣥࢺࢻࣜࣈࣥᆺᵓᡂἲࢆ᥇ࡗ࡚࠾ࡾ㸪ධฟຊ஦㇟ࡢ୰࡛ࠕယ᝟ሗ
(NF㸸Negative Feelings)ࠖ࡟㛵ಀ࠶ࡿ≧ែ㑄⛣ไᚚᵓᡂࢆࡶࡘࢩࢫࢸ࣒ࢆယ᝟ሗࢩࢫࢸ࣒࡜ᐃ⩏ࡍࡿ㸬ယ᝟ሗ࡜ࡣ㸪ே㛫ࡢᇶᮏឤ᝟࡛࠶ࡿ႐ᛣယᴦࡢယ࡟࠶ࡓࡿឤ᝟࡛࠶ࡾ㸪ᡃࠎࡣ㸪ࣉࣛࢫឤ᝟㸦PF㸸Positive Feelings㸧࠿ࡽ࣐࢖ࢼࢫឤ᝟㸦Negative Feelings㸧࡬ࡢ㑄⛣㸪࠶ࡿ࠸
ࡣࡑࡢ㏫࡬ࡢ㑄⛣࡜࡞ࡿᅉᏊࢆࠕယ᝟ሗ㸦NF㸧ࠖ࡜࿧ࡪ㸬⑓Ẽ࡟ᑐࡍࡿ୙Ᏻࡸ་⒪࡟㛵ࡍࡿ᎘Ẽࡸ୙‶࡞࡝ࡶࠕယ᝟ሗࠖ࡜ᐃ⩏ࡍࡿ㸬ᮏ⠇࡛ࡣ㸪ယ᝟ሗ᪉ᘧࢆᩆᛴᩆ࿨ᅾᏯ་⒪ࣔࢹࣝ࡟㐺⏝ࡉࡏࡿ᳨ウࢆ⾜࠸ယ᝟ሗ࡟ࡼࡿᩆᛴᩆ࿨ᅾᏯࢩࢫࢸ࣒ࡢᵓᡂࢆ⾜࠺㸬㸦2㸧ယ᝟ሗࡢᵓᡂ᪉ᘧᖹ✜㸦࢔ࣛ࢖ࣈ㸧≧ែࢆ᳨▱ࡋ㸪ᖹ✜࡛࡞ࡃ࡞ࡗࡓ≧ែࢆㄆ㆑ࡍࡿ᝟ሗࢆࠕယ᝟ሗࠖ࡜ᐃ⩏ࡍࡿ㸬Fig. 1ࡢࠕ▱ぬ㺃ឤ᝟ࡢ཰㞟࡛ࠖឤ᝟ฎ⌮ࢩࢫࢸ࣒࡟ධຊࡉࢀࡿࢭࣥࢫ᝟ሗ⩌ࡀࠕယ᝟ሗ࡛ࠖ࠶ࡿ㸬ᖹ✜㸦࢔ࣛ࢖ࣈ㸧᝟ሗࡣ㸪ே㛫࠿ࡽ┤᥋Ⓨ⏕ࡍࡿ᫂ⓑယ᝟ሗ㸦ENF㸸Explicit
Negative Feelings㸧௨እ࡟㸪㛫᥋ⓗ࡟Ⓨ⏕ࡍࡿ᪥ࠎࡢ⏕ά᝟ሗ㸪౛࠼ࡤ㸪㟁ຊィ㸪࢞ࢫィ࡞࡝ࡀ࠶ࡿ㸬ࡇࢀࡽࡣ㸪㛫᥋ⓗ࡞ᬯ㯲ယ᝟ሗ㸦INF㸸Implicit Negative Feelings㸧࡜ࡋ࡚఩⨨࡙ࡅࡿࡇ࡜ࡀ࡛ࡁࡿ㸬ᖹ✜㸦࢔ࣛ࢖ࣈ㸧᝟ሗࢆ᳨▱ࡍࡿ࢔ࣛ࢖ࣈࢭࣥࢧ⥙ࡣ㸪ယ᝟ሗ࡟ࡼࡿ⮬ື࢔࣮࣒ࣛ⥙ࢆᵓᡂࡍࡿ㸬ᢲ㕥ࡸ㟁ヰࡸᦠᖏ㟁ヰࢥ࣮ࣝࡶᡭື࢔ࣛ࢖ࣈ㏻▱࡜ࡋ࡚⏝࠸ࡽࢀ࡚࠾ࡾ㸪ࡇࢀࡽࡣ㸪ယ᝟ሗ࡟ࡼࡿᡭື࢔࣮࣒ࣛ⥙ࢆᵓᡂࡍࡿ㸬
Table 1࡟ᮏࣔࢹࣝ࡟࠾ࡅࡿယ᝟ሗࡢᵓᡂࢆ♧ࡍ㸬
Table 1 Configuration of Negative Feelings

ယ᝟ሗ(NF)⮬ື䜰䝷䞊䝮ᵓᡂᡭື䜰䝷䞊䝮ᵓᡂ䜰䝷䜲䝤䝉䞁䝃⥙ᡭື䜰䝷䜲䝤⥙᫂ⓑယ᝟ሗ(ENF) 䝞䜲䜸䡠⾑ᅽ䡠⫙䡠ໝ䛔䡠⬦ᢿ,㡢ኌ䡠䝇䝖䝺䝇䚸య㔜䞉䞉䞉ᬯ㯲ယ᝟ሗ(INF) 㟁ຊィ䡠䜺䝇䝯䞊䝍䚸‵ᗘ䡠ᅽຊ䡠ேឤ䡠㉥እ⥺ឤ᝟ฎ⌮ࢩࢫࢸ࣒▱ぬฎ⌮ឤぬ DBᢲ㕥䚸ᦠᖏ㟁ヰ㏻▱䚸እ㒊ၥྜ䛫ឤぬ㺃ឤ᝟ࡢᨃఝⓎ⏕ฟຊ䠖่⃭䛾Ⓨ⏕ࢭࣥࢧධຊ䠖᝟ሗ䛾཰㞟

2.3. ᗈᇦ㐃ᦠ་⒪ࢡࣛ࢘ࢻ࡛ࡢ఩⨨௜ࡅே㛫㏻ᖖ䛾่⃭▱ぬ㺃ឤ᝟ࡢ཰㞟Fig. 1䠊 Feelings processing modelឤ᝟ฎ⌮ࢩࢫࢸ࣒࡛ࡣ㸪่⃭࡟ࡼࡾⓎ⏕ࡍࡿ▱ぬ࣭ឤ᝟᝟ሗࢆࢭࣥࢧࢩࢫࢸ࣒࡟ࡼࡾ཰㞟㸪ࡑࡢ཰㞟ࢹ࣮ࢱ࡟ᇶ࡙ࡁ▱ぬฎ⌮ 7)ࢆ⾜࠸㸪ឤぬDB໬ฎ⌮ࢆ⾜࠸㸪ࡑࡢ⤖ᯝ࠿ࡽឤ᝟ࢆ᥎ㄽࡍࡿ㸬ࡲࡓ㸪ឤぬDB࡟᱁⣡ࡉࢀࡓ▱ぬ࣭̿
2 ̿− 26−ᗈᇦ㐃ᦠ་⒪ࢡࣛ࢘ࢻ㸦Global Communication
Medical cloud㸧࡟࠾ࡅࡿᅾᏯᝈ⪅ࢡࣛ࢘ࢻࡢ఩⨨௜ࡅࢆ᫂ࡽ࠿࡟ࡍࡿ㸬
ࠑ1ࠒ ᝈ⪅ࢧ࣮ࣅࢫࡢᴫᛕࣔࢹࣝ
་⒪ࢡࣛ࢘ࢻࡣᝈ⪅ࢧ࣮ࣅࢫ㸦PS㸧ࢆᥦ౪ࡍࡿഃ࡜฼⏝ࡍࡿഃ࡟ศ㢮ࡉࢀࡿ㸬࢚ࣥࢱࣉࣛ࢖ࢬࣔࢹ࡛ࣝࡣ㸪ࢧ࣮ࣅࢫࢆ฼⏝ࡍࡿഃࡣ㸪ᾘ㈝⪅㸦Consumer㸧㸪㢳ᐈ㸦Customer㸧㸪฼⏝⪅㸦User㸧࡞࡝࡜࿧ࡤࢀࡿࡀ㸪ᮏ✏࡛ࡣ㸪་⒪ࢡࣛ࢘ࢻࡢ฼⏝⪅ࡣ㸪⑓㝔㸪་⒪ᶵ㛵㸪デ⒪ᡤ㸪་ᖌ㸪ᝈ⪅ࡉࢇ㸪ಶே࡞࡝࡛㸪ㄢ㔠࡟ࡼࡾ౑⏝ᩱࢆᡶ࠺ࣅࢪࢿࢫࣔࢹࣝ࡜࡜ࡽ࠼㸪㢳ᐈ㸦Customer㸧࡜࿧ࡪ㸬ࢡࣛ࢘ࢻࢩࢫࢸ࣒ࡣ㸪⟶⌮ᑓ㛛ࡢ㐠Ⴀ఍♫࡟௵ࡏࡿ᪉ᘧ

野地保・荻野正࣊ࢵࢲ࣮࡜ࡍࡿࡓࡵ㸪⑓㝔ࡸデ⒪ᡤ࡛ࡢ᪂ࡓ࡞タഛᢞ㈨ࡀⓎ⏕ࡍࡿࡇ࡜ࡣ࡞࠸ 4)5)㸬ࢡࣛ࢘ࢻࢧ࣮ࣅࢫࢆᥦ౪ࡍࡿഃࡣ㸪୍⯡ⓗ࡟࣓࣮࢝㸦Maker㸧࡜࿧ࡤࢀࡿࡀ㸪་⒪ࢡࣛ࢘ࢻ࡛ࡣ㸪㢳ᐈ㸦་⒪ᶵ㛵㸪ಶே࡞࡝㸧ࡀ㸪ࢡࣛ࢘ࢻୖࡢ㛤Ⓨ⎔ቃࢆ౑࠸㸪᪂ࡓ࡞ᝈ⪅ࢧ࣮ࣅࢫࢆ⏕ࡳฟࡍࡇ࡜ࡶྍ⬟࡛࠶ࡿ㸬ࡇࡇ࡛ࡣ㸪ࢩࢫࢸ࣒ᥦ౪⪅࡜࿧ࡪ㸬
Fig. 2࡟ᡃࠎࡀᥦ᱌ࡍࡿᗈᇦ㐃ᦠ་⒪ࢡࣛ࢘ࢻ 4) ࡢࢧ࣮ࣅࢫ㝵ᒙู࢚ࣥࢱࣉࣛ࢖ࢬࣔࢹࣝࢆ♧ࡍ㸬ࢡࣛ࢘ࢻࢆ฼⏝ࡍࡿࡇ࡜࡛㸪ඹ᭷ࢧ࣮ࣅࢫࢆపࢥࢫࢺ࡛฼⏝ྍ⬟࡜࡞ࡿ㸬㜵་Ꮫࠖࢧ࣮ࣅࢫ࡞࡝ࡀ࠶ࡿ㸬ᮏ✏࡛ࡣ㸪SaaPS඲యࡀᅾᏯ⎔ቃ࡟࠾࠸࡚ᥦ౪ࡍࡿᝈ⪅ࢧ࣮ࣅࢫ⎔ቃࢆᅾᏯᝈ⪅ࢧ࣮ࣅࢫࢡࣛ࢘ࢻ࡜ࡋ࡚࣮࣒࣍ࢡࣛ࢘ࢻୖ࡛ࡢᐇ⌧ࢆ┠ᣦࡋ࡚࠸ࡿ㸬
Fig. 3࡟࣮࣒࣍ࢡࣛ࢘ࢻࡢᴫᛕࣔࢹࣝࢆ♧ࡍ㸬ManualNFSensors

Auto NF
GCM cloud
XaaPS 䠖Everything as a Patient Service

Medical Care

Nursing

HISPACS

Network

Medical Cost

Insurance

3D DBPC

Emergency CenterᅾᏯ࣮࣒࣍ࢡࣛ࢘ࢻ࡛ࡣ㸪ᩆᛴᩆ࿨᳨▱ᶵ⬟௨እ࡟ࡶ᪥ᖖ⏕ά࡟࠾ࡅࡿ೺ᗣ⟶⌮᝟ሗࡢᒚṔ⟶⌮ࢆ⾜࠸㸪ᐃᮇⓗ࡟་⒪ᶵ㛵࡜ࡢ㐃ᦠࢆᅗࡿࢧ࣮ࣅࢫᶵ⬟ࡶᥦ౪ࡍࡿ㸬௨ୗ㸪ᅾᏯ࣮࣒࣍ࢡࣛ࢘ࢻࡢᝈ⪅ࢧ࣮ࣅࢫࡢ୰࡛㸪⮬
ື㏻ሗᶵ⬟௜ࡁᩆᛴᩆ࿨ᅾᏯᝈ⪅࣮࣒࣍ࢡࣛ࢘ࢻࡢᶵ⬟ࣔࢹࣝࢆᥦ᱌ࡍࡿ㸬Internet

MedicalTreatment User
Hospital

TV etc.

Fig. 3 System Architecture of Home Cloud

Initial CostProfitHomeCarePatientData CenterInformationProcessing

Hospital

IaaPS䠖Infrastructure as a Patient Service
Hardware

INF

NetworkPreventive

PaaPS䠖Platform as a Patient Service
Image DB
Framework
Security

NF

Alarm
HealthInformation

RIS

SaaPS䠖Software as a Patient Service
MedicalGovernment Health Center
Referral letter
LifeSaving
Examination

Home Cloud

ENF

Company

3. ᩆᛴᩆ࿨ᅾᏯᝈ⪅࣮࣒࣍ࢡࣛ࢘ࢻࡢᵓᡂἲ

Fee¥100/usage

Fig. 2 Enterprise model of PS cloud

3.1. ࣮࣒࣍ࢡࣛ࢘ࢻࡢᇶᮏࣔࢹࣝᡃࠎࡣ㸪་⒪ࢡࣛ࢘ࢻᵓᡂࢆᥦ౪ࡍࡿࢧ࣮ࣅࢫ࡟ᚑ
࠸4㝵ᒙ࡟ศ㢮ࡋ࡚ᐃ⩏ࡍࡿ㸬
IaaPS㸦Infrastructure as a Patient Service㸧ࡣ㸪ࣁ࣮ࢻ࢙࢘࢔ࡸࢿࢵࢺ࣮࣡ࢡ㸪ࢹ࣮ࢱࢭࣥࢱ࡞࡝ᇶ┙࡜࡞ࡿ㝵ᒙ࡛࠶ࡿ㸬୍⯡ⓗ࡟ࣃࣈࣜࢵࢡࢡࣛ࢘ࢻࢆ฼⏝ࡍࡿ࣮ࣘࢨ࡛ࡣ㸪ึᮇᢞ㈨ࡢ㈇ᢸࡣᑡ࡞ࡃ࡚῭ࡴ㸬ࣉࣛ࢖࣮࣋ࢺࢡࣛ࢘ࢻ࡛ࡣ㸪ึᮇᢞ㈨ࡀᚲせ࡜࡞ࡿ㸬
PaaPS㸦Platform as a Patient Service㸧ࡣ㸪ࢩࢫࢸ࣒ไᚚࡢᇶᮏࣇ࣮࣒࣮ࣞ࣡ࢡࡸ㸪ࢭ࢟ࣗࣜࢸ࢕㸪⏬ീࢹ࣮ࢱ࣮࣋ࢫ㸦DB㸸data base㸧࡞࡝ࢩࢫࢸ࣒ࡢᇶᮏᶵ⬟ࢆᵓᡂࡍࡿ㸬SaaPS㸦Software as a Patient Service㸧ࡣ㸪࢔ࣉࣜࢣ࣮ࢩࣙࣥࢆᥦ౪ࡍࡿ㝵ᒙ࡛㸪་⒪ᶵ㛵ྥࡅ㟁Ꮚ⤂௓≧ࢧ࣮ࣅࢫ㸪ᅾᏯデ⒪ࢧ࣮ࣅࢫ㸪⮬἞యྥࡅᩆᛴᩆ࿨㸪௓ㆤࢧ࣮ࣅࢫ࡞࡝ࢆᥦ౪ࡍࡿ㸬ᮏ◊✲ࡢ⠊ᅖࡣ㸪SaaPS㝵ᒙࡢᩆᛴᩆ࿨㸪ᅾᏯデ⒪㸪௓ㆤࢧ࣮ࣅࢫࢆ࣮࣒࣍ࢡࣛ࢘ࢻୖ࡛ᐇ⌧ࡍࡿᅾᏯ་⒪ࢩࢫࢸ࣒࡜఩⨨௜ࡅࡿ㸬
2.4. ᅾᏯᝈ⪅࣮࣒࣍ࢡࣛ࢘ࢻࡢᴫᛕࣔࢹࣝ

Fig.2ࡢSaaPS㝵ᒙࡢ་⒪ᶵ㛵ࡀᥦ౪ࡍࡿࠕᅾᏯ་⒪ࠖ
ࢧ࣮ࣅࢫࢆᅾᏯ་⒪ࢡࣛ࢘ࢻ࡜ᐃ⩏ࡋ࡚࠸ࡿ㸬ࡑࡢ௚㸪ᝈ⪅ࢧ࣮ࣅࢫ࡟ࡣ㸪⮬἞య࡟࠾ࡅࡿࠕᩆᛴᩆ࿨ࠖ㸪ࠕ௓ㆤࠖࢧ࣮ࣅࢫ㸪ᆅᇦಖ೺ᡤࡀᥦ౪ࡍࡿࠕ೺ᗣデ᩿ࠖ㸪ࠕண̿
3 ̿− 27−㸦1㸧ࢩࢫࢸ࣒せ௳ᡃࠎࡣ㸪ᅾᏯデ⒪ࡢ㐺⏝⠊ᅖࢆᐙᗞෆ࡟㝈ᐃࡋ࡚⪃࠼㸪ᐙᗞෆࡢ࢔ࣛ࢖ࣈ≧ែࢆࢭࣥࢫࡍࡿM2M㸦Machine toMachine㸧ࢩࢫࢸ࣒ࢆ࣮࣒࣍ࢡࣛ࢘ࢻ࡜఩⨨࡙ࡅ᳨ウࡍࡿ㸬ࢩࢫࢸ࣒せ௳ࡣ㸪ᕷ㈍ࡢேయឤ▱ࢭࣥࢧ⿦⨨ࡸ㉥እ⥺ࢭࣥࢧ⿦⨨ࢆ฼⏝ࡋ࡚㸪ձᖹ✜㸦࢔ࣛ࢖ࣈ㸧≧ែࢆᢕᥱࡍࡿࢩࢫࢸ࣒࡜㸪ղ࢔࣮࣒ࣛ≧ែ࡟࠶ࡿᮏேࡀᡭື࡛ᢲࡋ࣎ࢱࣥࡸᦠᖏ㟁ヰ࡞࡝ࢆ฼⏝ࡋ࡚ᩆᛴᩆ࿨ࢭࣥࢱ࡞࡝㛵㐃ሙᡤ࡬㐃⤡ࡍࡿᡭἲ࡜㸪ճPCࢆά⏝ࡋࡓ⮬ື㏻▱ࢩࢫࢸ࣒࡟ࡼࡿే⏝ྍ⬟࡞ࢩࢫࢸ࣒࡛ᵓᡂࡍࡿࡇ࡜㸪࡛࠶ࡿ㸬ࢩࢫࢸ࣒ᵓ⠏࡟ᚲせ࡞ᢏ⾡ࡣ㸪ᅾᏯࢿࢵࢺ࣮࣡ࢡࢩࢫࢸ࣒ᵓ⠏ᢏ⾡㸪ࢭࣥࢧࢿࢵࢺ࣮࣡ࢡᵓ⠏ᢏ⾡㸪࢔ࣛ࢖ࣈ≧ែᢕᥱᢏ⾡㸪࢔࣮࣒ࣛ⮬ື㏻▱ᢏ⾡࡛࠶ࡿ㸬ᮏ✏࡛ࡣ㸪≉࡟᪥ᖖ⏕άࡢࣜࢬ࣒࠿ࡽ㸪ᩆᛴᩆ࿨≧ែࢆ⮬ື᳨ฟࡍࡿ࢔ࣝࢦࣜࢬ࣒㸦᭱㐺࢔࣮࣒ࣛゎἲ㸧ࢆᥦ᱌ࡍࡿ㸬㸦2㸧࣮࣒࣍ࢡࣛ࢘ࢻࡢᇶᮏࣔࢹࣝᅾᏯᝈ⪅ࡢ≧ែࢭࣥࢫࡣ㸪㉥እ⥺㸪⾑ᅽィ㸪ᅽຊ㸪⫙㸪⏬ീ㸪㡢ኌ㸪⬦ᢿ㸪ໝ࠸㸪ேឤ㸪㉸㡢Ἴࢆ᫂ⓑယ᝟ሗ㸦ENF㸧࡜఩⨨௜ࡅࡿ࣐ࣝࢳࢭࣥࢧ⥙ᵓᡂ࡜ࡋࡓ㸬
M2Mࢩࢫࢸ࣒ᵓ⠏࡟ᚲせ࡞ᢏ⾡ࢆ௨ୗ࡟♧ࡍ㸬

救急救命在宅患者ホームクラウドの検討࣊ࢵࢲ࣮㸦a㸧Sensor networkᢏ⾡㸦b㸧↓⥺networkᢏ⾡㸦c㸧Frameworkᵓ⠏ᢏ⾡ࡲࡓ㸪ࢩࢫࢸ࣒せ௳ࢆ௨ୗ࡟♧ࡍ㸬㸦a㸧3D⏬ീ⾲♧ᶵ⬟㸦b㸧Internet ᶵ⬟㸦c㸧་⒪ࢡࣛ࢘ࢻ㸪⮬἞యࢡࣛ࢘ࢻ࡞࡝ᆅᇦ㐃ᦠᶵ⬟ࡇࢀࡽࡢࢩࢫࢸ࣒せ௳࡟ᇶ࡙ࡁ㸪PaaPS⎔ቃ࡜ࡋ࡚㸪㸦ᰴ㸧ࣂࣞ࢖࢟ࣕࣥࣃࢫࢪࣕࣃࣥ[9]ࡢM2Mࢩࢫࢸ࣒ࢆ᥇
⏝ࡋࡓ㸬࣮࣒࣍ࢡࣛ࢘ࢻࡢᵓ⠏ࣇ࣮࣒࣮ࣞ࣡ࢡ࡜ࡋ࡚ࡣ㸪iiTerminal-Zࢆ᥇⏝ࡋࡓ㸬
Fig. 4࡟ᥦ᱌ࡍࡿ࣮࣒࣍ࢡࣛ࢘ࢻࡢᵓᡂࢆ♧ࡍ㸬

Alive Sensor Net.
RF inputTV䚸HA

Power Supp ly

Room
HumanDetect䃐waveே
BedPressure

NF comm. system
AutoDetect
OutputDecision
Function
AliveDetect

AutoDetec

Analyze

AlarmHistory

NetworkFig.5. Negative Information Processing Model
Medical Cloud

Government Cloud

3D ImageMobileInternet

Alive Sensor Network
BioSensor,Temperature,Humidigy, Infrated, Blood
Pressure, Heart Rate, Voice,
HumanDetect
SensorRF

FrameworkiiTerminal-z
Movie

Fig.4. Configuration of Home Cloud

Fig. 4࡟࠾࠸࡚⮬἞యࢡࣛ࢘ࢻ㸪་⒪ࢡࣛ࢘ࢻ㸪ᦠᖏ➃ᮎ࡜ࡢ࢖ࣥࢱࣇ࢙࣮ࢫࡣ㸪TCP㸭IP࡛࠶ࡿ㸬ࣇ࣮࣒ࣞ࣡
࣮ࢡᵓᡂࡣJavaゝㄒࢆ౑⏝ࡍࡿ㸬M2Mࢩࢫࢸ࣒
iiTerminal-zࡣ㸪3D⏬ീ⾲♧ࡀྍ⬟࡛࠶ࡿࡀ㸪ᡃࠎࡣ㸪
3D⏬ീ⾲♧࡟ࢧ࢖ࣂࢿࢵࢺࢩࢫࢸ࣒㸦ᰴ㸧10) ࡢࣜ࢔ࣜ࢔ࢆ౑⏝ࡋ࡚࠸ࡿࡓࡵ㸪⛣᳜ࡲࡓࡣ㸪௚ࡢPC࡜ࡢඹ᭷ࡀᚲせ࡜࡞ࡿࡓࡵ㸪௒ᅇࡢᵓᡂ࡛ࡣ㸪ᑐᛂࡋ࡚࠸࡞࠸㸬3.2. ᶵ⬟ࣔࢹࣝ࢔ࣛ࢖ࣈࢭࣥࢧ⥙࠿ࡽࡢယ᝟ሗࢆฎ⌮ࡍࡿ⮬ືุᐃᶵᵓ࡜࢔࣮࣒ࣛ᝟ሗࢆ࢖ࣥࢱ࣮ࢿࢵࢺ࡟⮬ື㏦ಙࡍࡿࢿ
ࢵࢺ࣮࣡ࢡᶵ⬟ࢆᣢࡘฟຊᶵᵓ࠿ࡽ࡞ࡿယ㏻ಙฎ⌮ࢩࢫࢸ࣒ࡢᵓᡂࢆFig.5࡟♧ࡍ㸬⮬ື㏻ሗᶵ⬟௜ࡁယ㏻ಙฎ⌮ࢩࢫࢸ࣒ࡣ㸪Javaࢆ⏝࠸࡚┤᥋iiTerminal-zୖ࡟ᵓ⠏ࡍࡿᵓᡂἲ࡜ࡋࡓ㸬̿4 ̿− 28−ᇶᮏࣉࣟࢺࢥࣝࢆTCP/IP࡜ࡍࡿࡇ࡜࡟ࡼࡾ㸪PC↓ࡋ࡛ࡢ࢖ࣥࢱ࣮ࢿࢵࢺ᥋⥆ࢆ┠ᣦࡍ㸬ᶵ⬟ࣔࢹࣝࡢ࢔ࣛ࢖ࣈࢭࣥࢧ⥙ࡣ㸪ᕷ㈍ࡢ㟁ຊ㸪ᅽຊ㸪ேឤ㸪ȘἼࢭࣥࢧ࡜↓⥺ࢳࢵࣉࢆ⤌ࡳྜࡏ࡚ᵓ⠏ࡍࡿ㸬ࢭࣥࢧࡢࢱ࢖ࣉ࡟ࡣ㸪᥋ゐᆺ⿦╔ࢱ࢖ࣉ࡜㠀᥋ゐᆺ↓⥺ࢱ࢖ࣉࡀᏑᅾࡍࡿ㸬ᮏࢩࢫࢸ࣒ࣔࢹ࡛ࣝࡣ㸪↓⥺ࢱ࢖ࣉࢆᇶᮏ࡜ࡍࡿࡀ㸪୧᪉ࡢࢱ࢖ࣉࢆࢩࢫࢸ࣒࡟⤌ࡳ㎸ࡴᵓᡂ࡜ࡋࡓ㸬ᮏ✏࡛ࡣ཰㞟㸪ᒚṔ⟶⌮ 12)13) ࡍࡿယ᝟ሗ࡜ࡋ࡚㸪௨ୗࡢ4ࡘࢆタᐃࡋࡓ㸬㸦1㸧㟁ຊࢭࣥࢧ୍᪥ࡢ⏕ά≧ែᢕᥱࢆ┠ⓗ࡟ᐙ㟁㸪≉࡟TVࡣぢࡿ☜⋡ࡀ㧗࠸๓ᥦ࡛タ⨨ࡍࡿ㸬ᬯ㯲ယ᝟ሗ(INF)࡛࠶ࡿ㸬⮬ື㟁※ON㸭OFFᶵ⬟௜ࡁTVࡢሙྜࡣ㸪࢔ࣛ࢖ࣈ≧ែࢆṇ☜࡟⾲ࡍ࡜ࡣゝ࠼࡞࠸㸬
㸦2㸧ேឤࢭࣥࢧ㐲㉥እ⥺ࢆ᳨▱ࡍࡿࢭࣥࢧ࡛㸪ேࡢฟධࡾࢆ᳨▱ࡍࡿࡇ࡜ࡀྍ⬟࡛࠶ࡿ㸬ື≀ࡸ⮬ື㌴࡟ࡶ཯ᛂࡍࡿ㸬㸦3㸧ȘἼࢭࣥࢧࣜࣛࢵࢡࢫ≧ែ㸪⥭ᙇ≧ែࢆᢕᥱࡍࡿ┠ⓗ࡛タ⨨ࡍࡿ㸬⬻Ἴࡣᚤᙅ㟁Ἴࡢࡓࡵ㸪᳨▱࡟ࡣ㸪᥋ゐᆺࢱ࢖ࣉࡀ୺ὶ࡜࡞ࡿ㸬㸦4㸧ᅽຊࢭࣥࢧ࣋ࢵࢻࡢୗ࡜ᗯୗࡢ࣐ࢵࢺୗ㸪ᒃ㛫ࡢ⤧Ẩࡢୗ㸪ࢺ࢖ࣞࡢධࡾཱྀ࣐ࢵࢺୗ࡞࡝᪥ᖖ⏕ά࡛ᚲࡎ㏻㐣㸪࠶ࡿ࠸ࡣᗙࡿሙᡤ࡟タ⨨ࡍࡿ㸬
3.3. ᭱㐺࢔࣮࣒ࣛゎἲ᭱㐺࢔࣮࣒ࣛゎἲ࡜ࡣ㸪㟁ຊ㸪ᅽຊ㸪ேឤ㸪ȘἼࢭࣥࢧ࡞࡝ࡢယ᝟ሗࡢ⤌ࡳྜࢃࡏ࡟ࡼࡾ㸪࢔ࣛ࢖ࣈ≧ែࡢࣜ࢔ࣝࢱ࢖࣒ゎᯒࢆ⾜࠸㸪ࡇࡢゎᯒ⤖ᯝ࠿ࡽ࢔࣮࣒ࣛ≧ែࡢ᭱㐺ゎࢆồࡵࡿゎἲ࡜ᐃ⩏ࡍࡿ㸬࢔࣮࣒ࣛ≧ែࡢ᳨ฟࡣ㸪᪥ᖖ⏕ά࡛ࡢಶࠎࡢᶆ‽ⓗ⏕άࣜࢬ࣒࠿ࡽⓎ⏕ࡍࡿ࢔ࣛ࢖ࣈ≧ែࡢᒚṔ⟶⌮᝟ሗࡢᖹ⁥໬ࢆ⾜࠸㸪ࡑࡢᖹ⁥࢔ࣛ࢖ࣈ≧ែ࡜⌧ᅾࡢࣜ࢔ࣝࢱ࢖࣒≧ែ࡜ࡢᕪศࢆ࡜ࡾ㸪ࡑࡢ್ࡀ୍ᐃ್ࢆ㉸࠼ࡓሙྜ࡟࢔࣮࣒ࣛ᝟ሗ 11)ࢆ๰ฟࡍ
ࡿ᪉ᘧ࡛࠶ࡿ㸬࢔࣮࣒ࣛゎἲࢆ㟼ⓗ࡜ືⓗ࡟ศ㢮ࡍࡿ㸬ᡃࠎࡢ┠ᶆࡣ㸪ືⓗ᭱㐺࢔࣮࣒ࣛゎἲࡢᐇ⌧࡛࠶ࡿ㸬௨ୗ㸪ྛゎἲ࡟ࡘ࠸࡚㏙࡭ࡿ㸬㸦1㸧㟼ⓗ࢔࣮࣒ࣛゎἲ࢔ࣛ࢖ࣈ᝟ሗࡢOFF≧ែ㸪࠶ࡿ࠸ࡣ࢔࣮࣒ࣛ≧ែࡢON≧ែࡀ࢔࣮࣒ࣛ᝟ሗ࡜࡞ࡿ㸬ᬯ㯲ယ᝟ሗ(INF)ࡢᢲ㕥㸪ᦠᖏ㟁ヰ㏻▱࡟ࡼࡿᡭື࢔ࣛ

野地

保・荻野正࣊ࢵࢲ࣮

࣮࣒ᵓᡂ࡛ᑐᛂࡍࡿ㸬㸦2㸧ືⓗ࢔࣮࣒ࣛゎἲ᫂ⓑယ᝟ሗ(ENF)࡟ࡼࡿ⮬ື࢔࣮࣒ࣛᵓᡂ࡛ᑐᛂࡍࡿ㸬࢔ࣛ࢖ࣈࢭࣥࢧ⥙࠿ࡽࡢယ᝟ሗࡣ㸪ࣜ࢔ࣝࢱ࢖࣒࡛Ⓨ⏕ࡍࡿࡀ㸪ࣔࢹࣝ໬࡛ࡣ㸪฿╔≉ᛶࢆ࣏࢔ࢯࣥ฿╔㸪ࣉࣟࢭࢫฎ⌮ࡢࢱ࢖࣒ࢫࣛ࢖ࢫࢆ1ms࡟タᐃࡍࡿ㸬1ms࡟タᐃࡍࡿ⌮⏤ࡣ㸪⏕య᝟ሗࡢఏ㐩㏿ᗘࡀ100ms㹼20msࡢ⠊ᅖ࡟ศᕸࡋ࡚࠸ࡿࡓࡵ㸪ࡑࡢ10ಸ㹼50ಸࡢ㏿ࡉ࡛ฎ⌮࡛ࡁࢀࡤ㸪༑ศ࡛࠶ࡿ࡜ࡢ௬ᐃ࡟ᇶ࡙ࡃ㸬
Fig. 6.࡟ືⓗ࢔࣮࣒ࣛゎἲࡢ࢔᳨࣮࣒ࣛฟ࠿ࡽ๰ฟฎ
⌮ࡢὶࢀࢆ♧ࡍ㸬

Collect/Analyze NF information
Smoothing
NF DBcompare
Alarm?

NY
To Alarm Processing
Fig. 6. Alarm Detect Process㟁ຊࢭࣥࢧ㸪ேឤࢭࣥࢧ㸪ᅽຊࢭࣥࢧ࡞࡝ࡢᬯ㯲ယ᝟ሗ(INF)࡛ࡣ㸪ே㛫௨እࡢ௚ࡢせᅉ࡛ࡶ཯ᛂࡍࡿሙྜࡀ࠶ࡿࡓࡵ㸪タ⨨᫬࡟ࡇࢀࡽእ㒊せᅉࢆணࡵྲྀࡾ㝖ࡃࡇ࡜ࡀᚲせ࡜࡞ࡿ㸬

5. ࡲ࡜ࡵᮏㄽᩥ࡛ࡣ㸪࣐ࣝࢳࢭࣥࢧ⥙࡟ࡼࡿࢭࣥࢫ᝟ሗࢆယ᝟ሗ࡜఩⨨௜ࡅ㸪ယ᝟ሗࢆά⏝ࡋࡓᅾᏯ་⒪࡟࠾ࡅࡿᅾᏯ
ᝈ⪅ࢧ࣮ࣅࢫࢡࣛ࢘ࢻྥࡅᩆᛴᩆ࿨ࢩࢫࢸ࣒ࡢ୍ᵓᡂἲ㸪≉࡟᭱㐺࢔࣮࣒ࣛゎἲ࡟ࡘ࠸࡚ᥦ᱌ࡋࡓ㸬ᅾᏯ௓ㆤࡸ୍ேࡁࡾࡢᡤᖏ࡟࠾ࡅࡿ࢔ࣛ࢖ࣈ≧ែࡢ᳨▱ࡸ࢔࣮࣒ࣛ≧ែࡀⓎ⏕ࡋࡓሙྜ࡟PCࡲࡓࡣᦠᖏ㟁ヰ࡟ࡼࡾࡑࡢ࢔࣮࣒ࣛ≧ែࢆᩆᛴᩆ࿨ࢭࣥࢱ࡞࡝እ㒊࡟⮬ືⓎಙࡍࡿ㏻ಙᶵ
⬟ࣔࢹࣝࡣ㸪⌧ᅾࡢ᝟ሗᢏ⾡࡜M2M↓⥺ࢭࣥࢧ⥙ᵓ⠏ᢏ⾡࡛ࣁ࣮ࢻ࢙࢘࢔ⓗ࡟ࡣᵓᡂྍ⬟࡛࠶ࡿࡇ࡜ࡀ᫂ࡽ࠿࡟࡞ࡗࡓ㸬୍᪉㸪࢔ࣛ࢖ࣈ᝟ሗ࠿ࡽᩆᛴᩆ࿨㸦࢔࣮࣒ࣛ㸧≧ែࢆㄆ㆑ࡍࡿ᭱㐺࢔࣮࣒ࣛゎἲ࡛ࡣ㸪ே㛫ࡢ᪥ᖖ⏕άࣃࢱ࣮ࣥࡢᒚṔ᝟ሗ࠿ࡽ㸪࢔࣮࣒ࣛ≧ែࢆ᳨ฟࡍࡿ࢔ࣝࢦࣜࢬ࣒ࡢࡓࡵ㸪ಶேẖ࡟␗࡞ࡿယ᝟ሗࡢᒚṔࢆᢕᥱࡍࡿᚲせࡀ࠶ࡾ㸪ᶆ‽ⓗယ᝟ሗࡢࢹ࣮ࢱసࡾࡀᚲせ࡛࠶ࡿࡇ࡜ࡀศ࠿ࡗࡓ㸬௒ᚋࡢㄢ㢟ࡣ㸪࣮࣒࣍ࢡࣛ࢘ࢻࣇ࣮࣒࣮ࣞ࣡ࢡࡢᐇ⿦㸪ᬯ㯲ယ᝟ሗ(INF)࣐ࣝࢳࢭࣥࢧ⥙ࡢ᭱㐺⤌ࡳྜࡏἲࡢ᳨ウࡀᣲࡆࡽࢀࡿ㸬ㅰ᪥ᖖ⏕ά࡛ࡢಶࠎࡢᶆ‽ⓗ⏕άࣜࢬ࣒࠿ࡽⓎ⏕ࡍࡿ࢔ࣛ࢖ࣈ≧ែ᝟ሗࡣ㸪ᖹ⁥ฎ⌮ࡉࢀ㸪ᖹ⁥࢔ࣛ࢖ࣈ≧ែ᝟ሗ࡜ࡋ࡚ᒚṔ⟶⌮DB㸦NFDB㸧࡟᱁⣡ࡉࢀࡿ㸬ྠ᫬࡟᪥ࠎⓎ⏕ࡍࡿ࢔ࣛ࢖ࣈ≧ែ᝟ሗࡣ㸪᱁⣡ࡉࢀ࡚࠸ࡿNFDBᖹ⁥࢔ࣛ࢖ࣈ≧ែ᝟ሗ࡜ࣜ࢔ࣝࢱ࢖࣒࡛ᕪศࡀ࡜ࡽࢀ㸪ࡑࡢ್ࡀ୍ᐃ್ࢆ㉸࠼ࡓሙྜ࡟࢔᳨࣮࣒ࣛฟࡀ࡞ࡉࢀ㸪እ㒊࡟࢔࣮࣒ࣛ≧ែ᝟ሗࡀ๰ฟࡉࢀࡿ㸬⿦╔ࢱ࢖ࣉࡢࢭࣥࢧ࡜↓⥺ࢱ࢖ࣉࡢࢭࣥࢧࡢ࡝ࡕࡽࡶ࢔᳨࣮࣒ࣛ▱ࡢὶࢀࡣ㸪ඹ㏻࡛࠶ࡿ㸬㎡ࢡࣛ࢘ࢻࢩࢫࢸ࣒㸪࣐ࣝࢳ࢔ࣛ࢖ࣈࢭࣥࢧ⥙ࡢ᳨ウ㸪ᵓ⠏࡟ከ኱࡞ࡿࡈຓゝࢆ㡬ࡁࡲࡋࡓ㯞ᕸ኱Ꮫࡢ࿘⸨Ᏻ㐀ඛ⏕୪ࡧ࡟ᗈᇦ㐃ᦠ་⒪ࢿࢵࢺ࣮࣡ࢡࢩࢫࢸ࣒◊✲఍ࡢ఍ဨࡢⓙᵝ࡟ឤㅰࡢពࢆ⾲ࡋࡲࡍ㸬ཧ

4. ⪃ᐹ
㟼ⓗ࢔࣮࣒ࣛゎἲ࡛ࡣ㸪࢔᳨࣮࣒ࣛ▱ࡣ㸪ᝈ⪅ࡉࢇࡀᡭື࡛ᑐᛂࡍࡿሙྜࡀ୍⯡ⓗ࡛㸪ᮏேࡀ࢔ࣛ࢖ࣈ᝟ሗ࡛
࠶ࢀࡤ㸪100㸣ࡢ࢔࣮࣒ࣛ᭱㐺ゎࡀᚓࡽࢀࡿ㸬ࡋ࠿ࡋ㸪୍⯡ⓗ࡟࢔࣮࣒ࣛ≧ែ࡟ࡼࡗ࡚ࡣ㸪ᡭື࣎ࢱࣥࡢሙᡤ࡟⾜ࡅ࡞࠸≧ែࡸ㸪ᦠᖏ㟁ヰࡀ౑⏝࡛ࡁ࡞࠸⎔ቃࡢሙྜࡣ㸪0㸣ࡢ᭱㐺ゎ࡜࡞ࡗ࡚ࡋࡲ࠺㸬ࡇࡢࡇ࡜࠿ࡽ㸪㟼ⓗ࢔࣮࣒ࣛゎἲࡣ㸪ᅾᏯ࡜እ㒊ၥྜࡏ࡞࡝ᆅᇦ㐃ᦠࢆ⤌ࡳྜࡏࡓ㐺⏝ࡀᮃࡲࢀࡿ㸬ືⓗ࢔࣮࣒ࣛゎἲ࡛ࡣ㸪⏕య᝟ሗ࠿ࡽ┤᥋཰㞟ࡍࡿ᫂ⓑယ᝟ሗ(ENF)ࡢሙྜࡣ㸪ᝈ⪅ࡉࢇᮏேࡢ࢔ࣛ࢖ࣈ᝟ሗ࡛࠶ࡿࡢ࡛㸪ࢭࣥࢧࢆᮏேࡀ⿦╔ࡍࡿ᥋ゐࢱ࢖ࣉ࡛ࡣ㸪100㸣ࡢ࢔࣮࣒ࣛ᭱㐺ゎࡀᚓࡽࢀࡿ㸬ࡓࡔࡋ㸪ᮏேࡀ㸪⿦╔ࢆࡋ࡚࠸࡞࠸≧ែ࡛ࡣ㸪0㸣ࡢ࢔࣮࣒ࣛ᭱㐺ゎࡀᚓࡽࢀࡿࣜࢫࢡࡀ࠶ࡿ㸬⿦╔ࢱ࢖ࣉࡢሙྜ㸪ᖖ᫬ᦠᖏࡍࡿ⭎᫬ィࡸὒ᭹࡞࡝࡟ࢭࣥࢧࢆ⤌ࡳ㎸ࡴࡇ࡜ࡶᚲせ࡜࡞ࡿ㸬㠀᥋ゐ↓⥺ࢱ࢖ࣉ࡛ࡣ㸪ࢭࣥࢧࡢ᳨▱⠊ᅖࢆእࢀࡓሙྜࡣ㸪」ᩘࡢࢭࣥࢧࢆ⤌ࡳྜࢃࡏࡿࡇ࡜࡟ࡼࡾேࡢ⾜ື࡟ᚑ࠸᳨▱⠊ᅖࢆᗈࡆࡿࡇ࡜ࡀᚲせ࡜࡞ࡿ㸬̿5 ̿− 29−⪃ᩥ⊩1)㔝ᆅಖ㸪Ⲷ㔝ṇ㸪㰺⸨ࡲࡺᏊ㸪͆⥭ᛴ་⒪࡟࠾
ࡅࡿᦙ㏦ඛ᥈⣴ࣔࢹࣝࡢ᳨ウ㸪͇ 㟁Ꮚ᝟ሗ㏻ಙᏛ఍SWIM◊✲఍2010,ಙᏛᢏሗ,Vol.110,No.70,SWIM2010-2,pp.7-12(2010-6)2)ᗈᇦ㐃ᦠ་⒪ࢿࢵࢺ࣮࣡ࢡࢩࢫࢸ࣒㸦GCMNWS:Global Collaboration Medical Network System)㸧◊✲఍ࠖhttp://www.gcm-nws.jp/3)㔝ᆅಖ㸪໭ᮧᾈஅ㸪బࠎᮌோet al 㸪͆ᗈᇦ㐃
ᦠ་⒪࡟࠾ࡅࡿḟୡ௦⤒Ⴀ᝟ሗᢏ⾡㸫㟁Ꮚ⤂௓≧࡟ࡼࡿ㝔ෆ㐃ᦠၥ㢟࡬ࡢ᥋㏆㸫㸪͇㟁Ꮚ᝟ሗ㏻ಙᏛ఍SWIM࣮࣡ࢡࢩࣙࢵࣉ,ಙᏛᢏሗSWIM-12,Vol.109,No.298,pp.1-6(2009-11)4)࿘⸨Ᏻ㐀㸪బࠎᮌோ㸪໭ᮧᾈஅet al͆ࢡࣛ࢘ࢻࢥࣥࣆ࣮ࣗࢸ࢕ࣥࢢ࡟ࡼࡿ㟁Ꮚ⤂௓≧ࢆ୰ᚰ࡜ࡍࡿᗈ
ᇦ㐃ᦠ་⒪ࢩࢫࢸ࣒ࡢ㛤Ⓨᵓ᝿㸪͇㟁Ꮚ᝟ሗ㏻ಙᏛ఍་
⏝⏬ീ◊✲఍2009,ಙᏛᢏ,Vol.109,No.407, MI2009-98,pp.121-126(2010-1)5)㔝ᆅ ಖ㸪໭ᮧ ᾈஅ㸪‖ ♸㍜et al㸪͆3Dᨭ᥼
ࡢᝈ⪅ࢧ࣮ࣅࢫࢡࣛ࢘ࢻ࡟ࡼࡿᗈᇦ㐃ᦠ་⒪ࡢᐇ⌧㸪͇㟁Ꮚ᝟ሗ㏻ಙᏛ఍་⏝⏬ീ◊✲఍2009,ಙᏛᢏሗ,Vol.109, No.407, MI2009-99,pp.127-132 (2010-2)
6)Juthamas Punwilai, Tamotsu Noji and Hiroyuki
Kitamura, ³The Design of a Voice Navigation System for救急救命在宅患者ホームクラウドの検討࣊ࢵࢲ࣮

the blind in Negative Feelings Environment´㸪IEEE
ISCIT 2009㸪1B-6, 53-58(2009)7)Ᏻ஭•୕⦅ⴭ,͇ឤぬ᝟ሗฎ⌮͇,ࢥࣟࢼ
♫,(2004-3)8)(ᰴ)ࢢ࣮ࣝࢪ࢙ࣥࢺ㸸Google App Engine forJava [ᐇ㊶]ࢡࣛ࢘ࢻࢩࢫࢸ࣒ᵓ⠏㸬ᢏ⾡ホㄽ♫㸪2009-109)(ᰴ)ࣂࣞ࢖࢟ࣕࣥࣃࢫࢪࣕࣃࣥ
http://www.valleycampus.co.jp/10)
ࢧ࢖ࣂࢿࢵࢺࢩࢫࢸ࣒ᰴᘧ఍♫࢔ࢻࣂࣥࢫࢻࢯ࣮ࣜࣗࢩࣙࣥ஦ᴗ㒊ࣅࢪࣗ࢔ࣜࢮ࣮ࢩࣙࣥ㒊ࣜ࢔ࣜ࢔ࢧ࣏࣮ࢺhttp://www.kgt.co.jp/11)℩ᡞὒ୍,͇⏕యㄆドᢏ⾡͇,ඹ❧ฟ∧,(2002-5)
12)Juthamas Punwilai, Tamotsu Noji ,Jaruwan
Puttikarukot et al, ³A Method of Data Gathering in
Negative Feelings Information System´㸪IEEE ISCIT
2008,PID114,pp.569-573(2008)13)໭ᒸ ຌ஧㸪㔝ᆅ ಖ㸪ᯇᾆ ⣧ኈ㸪͆་⒪ྥࡅࢳࣕࢵࢺᘧယ᝟ሗ཰㞟ࢩࢫࢸ࣒ࡢ᳨ウ㸪͇ ➨36ᅇ᪥ᮏ⤒Ⴀࢩࢫࢸ࣒Ꮫ఍඲ᅜ◊✲Ⓨ⾲኱఍ㅮ₇ㄽᩥ
㞟,pp.252-253(2006)

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