ウェアラブル型常時測定バイタルセンサの研究 加川 敏規 電気通信大学
Contents
1.2. 5
3. 2013 3 62 1 BAN Body Area Network 19 2008 21 2010
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6. TT 3 1 2 Body Area Network BAN 3 1 4 1 4
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10. 384 I35 36 3 3 1 33 10 1 32 3 3
11. OE 60 CPLD Complex Programmable Logic Device FPGA Hield Programmable Gate Array
12. 72 10A eo AC100V 5 5 5 2 OM Vitrode J 150 1 gi
13. 4 5mm 5 2 59 BAN
14. 5 8 5 2 7 1 5 1 Vitrode D 90 5 2 10 20 30 dB 40 50 TODO 60 hh 70 5 4 1MHz 9MHz 20MHz 30dB
15. 32 3 2 81 32 381 3 1
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17. 24
18. i 2 5 66 3 EE 5 5 70 5 70 8 121
19. 5 81 5 26 130 5 26 Et 5 81 5 20 5 82 5 84 PR 0
20. 5 18 79 5 8 Balun FTB 1 6 A15 Mini Circuits 0 01MHz 125MHz LMHe6552 National Semiconductor 5 13 A B A B 40 20 20 40 dB 60 80 100 120 MHz 5 14 Balun 5 4
21. 5 5 1 K 127 5 2 5 76
22. AD 0 6 PC 61
23. 481 0 lt ll lt WF 1 sn lgl lt lk 2 lta gl gt ol 5 16 82 80 60 40 20 dB 10 100 MHz 5 17 5 17 40Mb s 40Mb s 1 0 8 0 6 voltage VI 0 4 0 2
24. l 3 d 4 true false R 56 4 4 5 20 2 20 2 60 1 3 4 5 100
25. 2 5 2 4 12 PC WindowsXP 1 1 512MB perntiumM1 6GHz HDD 1GB Windows Vista Web http www hitachi co jp wirelessinfo as_entrymodel 02plus htm1 2 5 HITACHI 2 6 2 6 LCD
26. I19 I20 17 2 1 2 Web http www info pmda go jp ygo pack 13B1X00206000005_A_01 02 2 11 2 11 MPP I21 2 12 2 18 Ni 18 WU NMI HU RD fl Pi ym 2 FTTTTTTTTTTTTTT 0 1 1 1H TY tp 2 13
27. 141 2013 A Study on Contnnuous Measurement Wearable Biometric Informatnon Sensors Abstract Continuous biometric information monitoring technology will be indispensable for coming aging Soclety in order to keep the health of the old men and women Especially ECG momentum blood pressure pulse rate respiration rate are important indicators for monitoring health conditions Technology to measure noninvasively these 1mportant indicators without stress has been studied extensively In this study we are almlng to achieve health care network System to monitor human biometric information Health care network system is configured by 1 vital signs sensors 2 Body Area Network BAN 3 biometric information network using the Internet 1 vital sign sensors are a sensor group that acquires vital signs constantly 2 BAN is aggregated biometric information from vital s
28. 1i lt ls 5 39 5 40 1i lt 1 5 40 101 5 45 UHF UHF UH
29. UHE 94 20 40 60 dB 80 100 120 MHz 5 33 5 33 4MHz 8MHz UHF UHF SONY UHF Band RF Modulator CXA1733M CXA1733M 6p ORF OUT S 100p AUD IN 1000p VIDEO IN O CXA1733M 1000p 5 34 CXA1733M 5 34 LC
30. 16 mm 6 4 mm 4 3 8 3 9 1ch TPR 105 940nm GENIXTEK CORP 1 6mA 35 0 034Hz HPF 0 383mV 60dB
31. 20 4 80 5 96 8 130 130 E 120 E 120 A A A _ nn 110 110 OO 1 Ww i _ Fg 100 E100 90 100 110 120 130 90 100 110 120 130 Measured SBP mmHg Measured SBP mmH9g a b 5 96 SBP 5 31 5 81
32. 1 5 JI III MULTI IL ILH vV YW V YY Amplitude VI 0 5 0 1 2 3 4 5 Time s 3 1 1 5 Us lt 0 5 0 1 2 3 4 5 Time s 3 2 34 1 5 OO 05 Eg lt _ 0 0 5 0 1 2 3 4 5 Time s 3 3 8 4 8 5 3 6 5 mm 3 6 A 3 6 B 3 7
33. 10 llll i IE EO HH dB EN es aa MHz 5 52 0 2MHz 2MHz 10dB dec HPE 2MHz 10MHz 30dB 105 0 2MHz 20cm
34. 4 2 50
35. 29 2 16 2 17 c Dierential Data Amplitier Recorder Integrator Refsrence 2 16 2 17 1mV I23 I24 2 18 2 19 2 20 21 Tissue Artery 2 18 10 mm 2 19
36. 2 10 2 6 16 Web http www konamisportsclub jp goods cata fitness ai ex htm1l 2 10 2 6 10 80 40 199bpm
37. 44 45 600Hz MSP430 1MIPS 1 MPU 106 AAA ActIVe 5 53 5 13 MPU MSP430FG4616 5 13 MSP430FG4616 Al 5 14 MSP480FG4616 5 14 MSP430FG4616 Al A 5 18
38. 2013 8 1 1 i 2 1 1 1 Mii 2 4 4 6 1 4 8 2 uu 9 DG NC 9 2 1 1 9 2 18 2 0 OE 21 INC EA lt 21 NE OM oh 23 2 31 32 3 ee 33 60072 07700 2001300 77700 33 3 2 we 40 0 ENNRI2 NR 45 oo 52 3 53 4 cci 54 54 2 54 SN CA RC EO CE ME 56 4 4 58 DE OR Oi 59 EE ccc 60 PP PO PIP PT DIP TPR DR PNP PNP TDP P0777 PP PP 62 0 70 7 2 63 i 68 70 70 Nii 106 I 111 BE EE Nc kk 118
39. ZigBee XBee XBee 5 27 132 5 27 XBee RF 250kbps 40m 120m 1 25mW 1dBm 2mW 3dBm 196PER 96dBm 0 65 000 WAR 5 85 5 28 5 29 5 87 5 30 133 3 3V GND GND 3 3V 3 3V QN 1 4 47u R15 R18 1k 1k gt YZK 8 2 3 GND GND GND 5 85
40. METs 1 3 1 6 BAN BAN Em pe 2 mm LIS en ss 1 6
41. 50mm 5 5 Am 189 j29 4 157 j22 3 142 j21 0 76 5 sw 50Q 50Q Balun Balun 5 10 Balun 5 6 Balun Vitrode D 90 Balun 1MHz 50MHz 50 0 42 Balun 7 7 SMA CN
42. Vol 100 No 350 pp 43 49 2000 33 Kagawa N Nakajima Robust Wrist Type Multiple Photo Interrupter Pulse Sensor Health Science and Biomedical Systems 67910 036 Jun 2012 34 F M Coetzee and Z Elghazzawi Noise Resistant Pulse Oximetry Using a Synthetic Reference Signal IEEE Transactions on Biomedical Engineering Vol 47 No 8 pp 1018 1026 Aug 2000 35 2005 Vol 44 No 1 pp 148 155 2006 65 36 Vol 48 No 3 pp 42 51 2004 37 AD7011 38 Vol 74 No 2 pp 94 101 2004 39 A D Jose and D Collison The normal range and determinants of the intrinsic heart rate in man Cardiovasc Res Vol 4 No 2 pp 160 167 1970 40 T G Zimmer
43. a b 5 76
44. 3 2 8 2 FORi 4 Maxhil Maximum value of the channel i of past 2 seconds Mini Minimum value of the channel i of past 2 seconds PulseHeighthil Maxhil MinDj ENDFOR CASE the largest channel in PulseHeight channel 4 from 1 OF 1 the best channel is channel 1 39 2 the best channel is channel 2 3 the best channel is channel 3 4 the best channel is channel 4 ENDCASE 3 2 3 12 200 10Hz 8bit 100 150 FFT 12 8 FFT 128
45. 8 BAN 1 2
46. 7 42 3 3 3 16 7 D 7 2 1 57 0 S1 min t mp t 1 S2 S3 S4 0 mt 1 g am ar Ar 0 1sec a ga 10 msp 881 rp t m mm t 3 3 sc 81 EE2 g8 ga gllE3 sd mgilgz gE3 3 16 Sx Hix S1
47. METs METs 39mmX26mm 42mmX40mm N ll PC
48. UHF 5 26 1 2 20dB 3 UHF UHF 4 UHF UHF 5 UHF 0 1Hz 20MHz GND
49. 24 1 2 Body Area Network BAN 3 1 2BAN
50. SMA 5 11 Balun 20 WW ss 100 AN 1 yy 120 140 1 10 100 MHz 5 12 Balun 78 5 7 Balun 0 5mmw Balun Balun Balun 1MHz 20MHz 100dB Balun 3 50Q
51. mm 7 40 20 Magnitude aw 1 Amplitude VI Mu 3 50 100 150 200 Time s 3 12 200 20 1 Magnitude 5 _ 2 3 4 5 0 1 2 3 Frequency Hz Frequency Hz a b 3 13 41 noise COomponent T OO MM PP oo T T heartbeat harmonic component component of heartbeat apn lluselA 0 1 3 4 Freduency Hz 3 14 Ln 3 14
52. O 453 Sept 2008 1 68 2008 3 MICT2008 17 Jan 2009 5 2010 1 MICT2010 9 Apr 2010 6 2011 2 MICT2011 10 July 2011 7 H23 B 19 44 Sept 2011 8 H24 B 19 29 Sept 2012 3 9
53. 3 4 2 5 2 2 1 2 1 1 2 1 3 eo a b c 2 1 a b Web http www maruman p
54. UHF 591 23MHz WE Ve Vem f V Vem f Vam Vs Vem sin 27 7 COIR RE SNF 2 Ve e MS 2 5 sin 27 7 5 sin 27 7 fs t Vam fF f G f 89 5 27 BA oe 9 Be
55. X 160 180 170 2 8 122 5 72 3 Exl METs IMETsl METs IExl METs IMETs X h kcall MRETs 50
56. 8 5 1 3 2 mm 20 SN Signal to Noise ratio 20 20 20 3 7 16 mm 6 4 mm 6 4 mm
57. 27 2 27 28 111 2 28 kk 28 2200 WU 29 2 30 29 30 2 32 ee 31 3 34 3 34 3 35 36 OO A i Sk 37 69 i i 37 OR Rd 38 I a 38 2 38 39 3 39 SR EN ie cS 41 3 18 ee 41 Sd RNC RON i i i 42 3 15 to 42 3 10 922 ARNdtZ 2M250U 2 ON Ei 43 3 17 RS 44 31874 44 SINO 0 45 9820 25 0 K KRKK VM 47 9921 2 49 LE i Sh 51 3928
58. 559 45 91 9 EE 1mm3 500 450 97 940nm 29 30 S1 2 4 2
59. 8 20 25 3 21 25 3 22 50 25 25 25 25 12 13 25 50 45 20 1 NOW KA NN NN NN NN NN NN ll MM SeT1SO a lt NM NM NN e_ 9 2 a
60. 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 SUCCeSsful failed a 1 photo interrupter 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 SUCCeSSful failed b 2 photo interrupters 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 successful failed c 3 photo 1interrupters 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 7 3 SuCcessful oo failed d 4 photo interrupters 4 3 7 Points 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 1 photo interrupter 2photo interupters mW WE Egg WII WII 3photo intemruptes L Tl TT TT TT TT TI wa JE SUCCeSSIul BE failed a Person1 Male 20s Points 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 2
61. 40 74 NN NY 1 2
62. 5 4 2 51 5 95 5 95 5 95 a e I5311541 139 tv t4
63. 1 7 pi p pp 7 p Rs 5 78 15152 A R P 7 Xx A R P 5 78 w 7 x 7 R u Fh 129 4 p _ 4 1 pada dp 5 79 Se 1 La TIE ET HI 5 79 5 80 U es 3 3 NY NY 2 NY 2 2 2 3 2 NY gt P P Pm P u v 5 80
64. Vol 18 2011 Alfonsas VAINORAS et al Transformation of Health Care with Informatnon Technolognes Technology and Informatncs 105 1OS Press September 2004 K W Sum Y P Zheng and A F T Mak Vital Sign Monitoring for Elderly at Home Development of a Compound Sensor for Pulse Rate and Motion Personal health Management Systems Vol 117 pp 43 50 2005 1 Adebayo O Emmanuel A Adesola and A Rotimi Wireless Data Processing Model in Hospital Environment A Case Study of Obafemi Awolowo Unnversity Teaching Hospital Biomedical Fuzzy and Human Seiences Vol 12 No 1 pp 23 27 2007 N Nakajima Indoor Wireless Network for Person Location Identification and Vital Data Collection ISMICT 2007 TS9 2007 V Schnayder Sensor Network for Medical Care Harvard University Technical Report TR 08 05 2005 D Scherr P Kastner A Kollmann et al Effect of Home Based Telemonitoring Using Mobile Phone Technology on the Outcome of Heart Failure Patnents After an Episode of Acute Decompensation Randomized Controlled Trial Journal of Medical Internet Research Vol 11 No 3 2009 10 8 Sack C M Wende H Nagele et al Potential value of automated daily screening of cardnac resynchronizatnon therapy defibrillator diagnostncs for predictnon of major cardiovascular events results from Home CARE Home Monitoring in Cardiac Resync
65. 5 17 omass apo mg nac vanr cpu A A 94 me 00 0 77 ms 5 55 1 2 100 90 1 0 80 0 8 4 NN uA A HL 0 6 50 i 3 FE pAl 40 0 4 e 0 2 a 10 0 0 0 OP Amp ADC Timer DAC UART CPU 5 55 5 55 AD 99 9 5 18 5 18 A A 110 Luz Al 1730 1650 5 56 2000 1800 1600 1400 _ EE 1200 1000 88 87 pAl onn nAl 600 4 2 TTY
66. 1 2 BAN 3 BAN 1 5 1 5
67. 73 O R 56 5 3 5 6 10 ML MMLML_ 20 30 40 50 i UL ll ll ll dB 60 70 UL 80 UL LT 90 MHz 5 7 5 7 5 4 30dB 20MHz 40dB 74
68. 4 1 2 3 PAT 2 8 2 82 2 1 5 PAT 197 2 5 92 P
69. 38MHz 5 35 96 UHF hs 5 UHF 5 386 5 36 5 26 UHF 30dB 4 5 87 5 38 9 5 37 5 10MHz 5 4 6Vpp lt 1 1 5 l2 10 ag l 5 l2 20 1 2
70. 5J 4 4 1 4 1 40 96 s FET 2048 0 02 s 0 32 Hz 1 31 Hz 50 bpm beat per minute 140 bpm 0 83 Hz 2 33 Hz 38I 391 0 83 Hz
71. vo1 90 No 8 2007 I18 No 58 Vol 6 pp 291 800 2010 8 19 F M Coetzee and Z Elghazzawi Noise Resistant Pulse Oximetry Using a Synthetic Reference Signal IEEE Transactions on Biomedical Engineering Vol 47 No 8 pp 1018 1026 Aug 2000 20 2005 Vol 44 No 1 pp 148 155 2006 21 M Pacelli G Loriga N Taceini and R Paradiso Sensing fabrics for monitoring physiological and biomechanical variables E textile solutions in Proc 3rd IEEE EMBS Int Summer School Symp Med Dev Biosens pp 1 4 2006 22 M Ishiiima Monitoring electrocardiogram in bed without body surface electrodes IEEE TYansactions on Biomedical Engineering Vol 40 No 6 pp 593 594 1993 23 K Nakajima A Oka S Kasaoka K Nakashima T Maekawa T Tamura and H 64 Miike Detection of physiological parameters without any physical constrants in bed usnng sequential image processing Japanese Journal of Applied Physics Vol 35 pp L269 L272 1996 24 K Nakajima T Maekawa and H Miike Detection of apparent skin motion using optical tlow analysns Blood
72. H24 B 19 30 Sept 2012 4 1 Makoto Kawashima Toshinoril Kagawa Introductnon of the latest studies on Interdisciplinary Research between Medicine and Engineering Universiti Tunku Abdul Rahman Malaysia Mar 2011 1 69 1 1 1 Bluetooth ZigBee GND I I I I I I I I I I I I GND GND g b 5 1 5 1 1996 TG mmerman Personal Area Network PAN
73. 5 67 5 66 _ 118 EE dd EE HH 93EEeOBAO OS 9EEZOBA 5 Ca Ei Ln FJ Fe FIE FE Uy Mi IF19 E CB LD TnT a rin 15 LS UE 15 jaS UE mir JE wmHTIC TL 5 nD sd as Et mon ua TI En FF TE 5 67 5 68 5 69 119 m KXM52 1050 ee er Ap KXM52 1050 5 69 5 20 Rodsz 1050 2 120 A PSoC CY8C29466 24PXIX2 Cypress TT 1 xs 3 I49
74. 100 160 200 1 41Hz 100 160 3 15 10 FFT 12 8 1 5 3 1 Go 0 5 gt 0 0 50 100 150 200 Time s 3 15 m
75. 5 23 METs kcall 0 kcal 2 8km 0 14 0 0708 8 4km 0 16 0 0780 9 7km 0 18 0 1041 10 8km 0 19 0 1290 11 3km 0 20 0 1412 12 1km 0 22 0 1619 12 9km 0 24 0 1841 19 8km 0 25 0 2106 14 5km 0 26 0 2325 16 1km 0 28 0 2867 0 0067 17 5km 0 32 0 9387 0 0187 5 22 5 23 METs 124 0 30 0 25 0 20 MEBTs keall n 0 00 000 01000 2000 03000 0 4000 keall 5 73 METs 5 73 1 0 16 0 14 0 12 0 10 0 08 0 06 0 04 0 02 0 00 OOD UiU UU Ui OOsDOD UUS8UU kcal kcal HH METs 5 74 METs 125 y U bZg x U 110 METs kcall 0 10 0 05 0 00 UUUOO 1000 0 0 0 0300D 4000
76. CPU A D CPU AD 2 2 V 210 5 Al 1 65ImAl 0 211 65 12 8 5 13 5 14 CPU 5 54 Pp P Pies AD Ps Ppac DA Py4rr UART Pcpy CPU x 100 12 8 108 P pmo LPM P p
77. 0 I16 00
78. 40 2 GND 70 GND
79. 127 11 1 2 2 ORCD 1000 2006 3 LEMUR il fl Gl 3 5 LO ST AE TE 6 ON RR nO hen Cs 7 9 9 0 11 2 12 ON ON Gc 13 206 VME RE ON Co i 13 2 7 14 2 8 0 14 ER OO Ai 16 17 2 18 19 2 13 ee 19 EAR NC lik 20 2 15 20 2 16 21 2 21 22 2 19 ee 22 220 ee 23 24 I ER i NC GG 24 23 i 25 2 24 ee 26 2 27 2 26
80. PTG Out 3 10 Tektronix TDS2004B Octave version 3 6 00 3 2mm 5mm 4 3 8 4 8 11 a c d 4 2 Person1 2 Person1 2 1 Detection range of hoto interrupter arra 3 4 36 Each 5 mm Spacing 0 4 03 A AAA 0 2 4 s AN 0 1 lt 0 6 1 1 16 21 26 31 Points a A 0 3 A MN A YYV o 0 1 V 0 1 6 11 16 21 26 31 Points b
81. t 0 Hz 0 83 Hz 0 83 Hz 2 33 Hz 5 a Sai 1 50 rm 2 9 2 bpm 37 40 96 s FFT r 2048 Az 0 02 s Af 0 024 Hz 1 44 bpm a 0 a 10 83nAt 5 0 83nAt 2 33z7AI 81 bpm 2 bpm 54 0 Sgz jj z D ER FI
82. 1 0sec 10 1 0sec Ar 0 1sec Af 0 078Hz 3 13 a 3 13 a 1 2Hz 72bpm beat per minute FFT 0 078 1 2 6 5 5 37 3 18 b x f
83. Diaphragm 2 23 I26 2 24 25 2 Dimensional FG Element 2 24
84. 88 90 90 91 RC cc Gc Sc 92 CI Aid 93 UR CN cc 94 95 CXAT7SSM SO 95 NN DR 96 Wi 97 97 97 99 0 82 I DE 98 99 SA IE DR OO CO 99 4 100 SA SN I OER 100 EE 101 S40 102 SAC bd bibi 102 5 UN 0 RN Ni 102 5 9 UN 0 RO 103 5 RRNDORO WR ER i 104 5 50 104 105 5 RC NE EE Ec cc 105 107 S54 108 5 110 111 51 112 8 112 5 113 114 5 61 kk kk 115 62 0 6 2 116 5 68 3 116 117 1 117 5 66 118 96 0
85. IBreath ratei Pulse rate I I I I 1 I I 1 I I 1 I Frequency Hz 4 1 4 2 4 ER 40 96 PR 54 5 0D maxx f 0 lt 7 lt 0 831 5 z D maxx f 0 83 lt lt 2 331 Sax
86. 26 Respirationrate Quasi tidal volume 8 8 arb unitl Body movement Respiratory movement arb unit oo 20 1922459 192359 192439 19 2559 192658 192759 192859 Time 3 ii Invalid period by body movement Evaluation value i 75 Threshold 3 Es 0 192259 192359 192439 192553 192659 192759 192859 b Time NN 152259 192959 192459 192559 192639 192739 1928S8 c Time 8 tmes mim 2 25 2 25 1 1 2 25 b 2 95 c 1 2 26 Projection ww Projection unit FG muit beam laser source i ML 9829 Ventlator 1 3 a 7 ee cr lt pe 3 5 os ae 2 x 2 a b 2 26 27
87. AD DA 5 14 CPU A D UART CPU CPU 5 54 AD 107 CPU CPU AD CPU 1600uA CPU 5 54 A D MSP430 CPU AD A D CPU
88. 3 17 3 14 1 88Hz 1 41Hz 8 18 50bpm 140bpm 0 83Hz 2 33Hz 3gl 39 0 8Hz 2 4Hz 2 4Hz 3 19 3 3
89. 13 2 7 2 7 3 LED LED 2 TRC 2 8 2 8 LED LED 2 14
90. 2
91. 5 28 a NA AE LED 1 4W 134 PTG Out 3 3V R16 1M R19 100 GND 1 4W 3 3V LM358 U3 5 86 5 29 GND 5 87 5 30 ss 3 3V 3 3V 3 3V ECG Out Texas Instruments HTC 3 3V 3 7V 1050mAh 5 88 5 89 5 88 5 89 5 90 IGOM5 mv COM6 my 2 0 012 914 372 3 0 023 920 372 4 0035 923 358 5 0047 915 358 6 0 058 902 355 7 0 07 B88 354 Bl 0082 69 347 9 0093 63 347 10 0105 79 343 1 0117 70 343 12 0128 933 35
92. 5 4 4 4 5 40 96 FFT 2048 0 02 s 50 1 FFT 1 bpm 58 a SQ 50 Breath Rate bpm Heart Rate bpm 4 5 4 5 4
93. EL 2 14 2 15 19 2 14 ll 4 4 i 8 Piezoresistiye Sensor TKnhml ry 3 ma hs 1 Time Is Inpac Frieulrrin raph mv Gy 1 5 10 1 14 1 18 Time 5 2 15 20 2 2 2 2 1
94. 2 GND 87 5 25 Balun 5 25 Balun Balun 5 25 GND GND 5 26 5 26 88
95. I18l 20 4
96. 95 LC C LC 1 vIC L C 47pF 5 5MHz 1MHz 20MHz 1pF 47 38MHz UHF 0 00 20 00 40 00 60 00 dB 80 00 100 00 120 00 1 00 10 00 100 00 MHz 5 35 5 35 5 33
97. 0OIV 0OIV 5 20 10MHz 5 23 IE 86 1 2 5 24 5 24 1 2 Hot Cold
98. 2 4 250kbps 3 7 4 2 USB 2 14 PC 15 XYZ CONUOCU23 151901 F100 ti SS 51E34 lt i Pr wm awrel 1Ga COOut5 1 De ParJD ON DMG 151901 FF Dx DOOCGJe155D S723 151903 SH Li sl WM 1519 Cs y 2 9 PC 2 5 USB 2 9 PC 2 5
99. KK KKA WM 119 5 02 120 120 0 121 122 DN OC oc 123 570 0 EMMS EO 125 125 V1 5 75 5 76 5 77 5 78 5 79 5 80 5 81 5 82 5 83 5 84 5 85 5 86 5 87 5 88 5 89 5 90 5 91 5 92 5 93 5 94 5 95 5 96 ECDR2SARES GSIMIES3E 0 KKKMK 126 RM cc 128 129 ME MC Nb 129 130 ec GG 130 131 es 131 132 132 134 135 UEIUCS 135 136 DE i ii i 136 136 137 EN 2 iif Gi 138 138 139 139 SBP 140 V11 2 2 SER 10 11 0 12 15 5 5
100. csJ D c 3 1 10 c 3 z 4 6 S O Sex 4 2 4 ch2 ch3 19 2 bpm 78 6 bpm 4 3 0 4 0 2 8 0 N 3 E 0 2 S lt 0 4 0 6 0 5
101. 22 1411000 221 13169 2009202205 2009x02205 5 71 3 5 71 3 Z Y 22 14 11 000 5 21 5 21 2 2G 2G 0 255 Z Y 2
102. 332508353 16 6 RONONOOOORNEEOON 17 OE NN dh 24 3 33 2 39 43 5 1 3 72 5 2 73 5 3 74 76 76 5 6 BALUN ki 7 ST BAGUNOD cl ci 79 5 80 91 DO EE 93 0 94 5 103 3 NSRIOURCd46T16 107 5 VISBA90RGMA616 NE 0RKRMNNVA QR 107 5 15 2 2V 109 5 16 2 2V 109 110 110 114 SO MK 120 6 5922 2 RS MeE3e203RE 88 122 124 9 124 V111 5 24 MRETs METSs
103. HE LIL 400 200 Lv SS 5 56 87 8 CPU CPU ON OFF 80 3 5 57 12 111 Web a 12 b 5 57
104. wo Tn n 2 5 5 4 2 3 10 20 30 dB 40 50 60 70 MHz 5 15 61 5 15 4 NH 80 1 TH 0 2 3 LA LT TH 60 80 1 10 100 MHz 5 16 5 16 4 1MHz 40MHz
105. 0 4 UM MM ww 50 100 150 200 Time s Amplitude VI 7 Frequency Hz 46 c Magnitude Oo UU Pe UU AAA 0 50 100 150 200 Time s 9 0 5 0 4 heartbeat 0 3 component 0 2 0 1 9 0 1 2 3 4 8 Frequency Hz e _ 200 oa 150 a RY E 0 0 0 50 100 150 200 Time s 3 20 25 47 Amplitude VI Time s b a CO 3phn IUSBIAI Co 2 3 Frequency Hz c 48 E 04 5 AA 0 0 50 100 150 200 Time s d 200 100 heartbeat component Frequency Hzj 1 WT gt LL 0 heart rate bpml 0 50 100 150 200 Time s 3 21 25 49 Mu nu ipo SeT1SO d dV OO walking typing drink by cu
106. NR CS I27 2 27 2 28 5 a 0 2 27 CCD camera 2 28 2 29 28 Expanded state Initial state 2 29 28 2 80 2 31 Crowave ans
107. 0 1 2 3 4 5 6 time lu s 5 18 40Mb s 83 magnitude dB 10 10 107 10 10 frequency Hz 5 19 40Mb s 5 19 CD CS magnitude dB 10 10 107 108 10 frequency Hz 5 20 84 magnitude dB 10 109 107 108 10 freduency Hz 5 21 5 21 voltage VI time hb sl 5 22 5 22 85 he voltage VI 2 50 2 55 2 60 2 65 2 70 2 75 2 80 2 85 2 90 time hu SI 5 23 5 23 lt
108. Balun Balun 5 4 80 2 5 4 20MHz 40MHz 23MHz LPF 75 z 2z 1 Ts z 4z 3z T z 8z 8z 1 Ts z 16z 20z 5z g
109. Time S 0 50 0 70 0 90 1 10 2 20 2 2 2 25 2 21 23 2 21 2 22 2 7 63 8 mm 2 22 2 7 0 1 10 0 kg cm2 24 1 600 Breast Abdomen El InSpiration N Expiration 2 23
110. gw EE ia GHEE NE EE 8 8 3 3 HH R HH S HH HB EE jj 7 R H 8 HH E 8 HB RE BR BE HB BB SR BR ER AI SS ES SS UE UH SU SU Ss 2 E HH HH HH HH NR BI LE EE E aR ss 5 82 131 Ri 4 2 TT ET jhe lt II NB HH HH RE HER HH BBRBIHBBBE RE BB RRB EE 1 1 mn 5 1 BB wr a nl i a L LE IE ES HB HI HH HH HI HERW S NR HEB HB II BE IO PARSELSILLEIULLIIENNLLIUIILELILLIL JJ BB HB R S BR RB SE BR RB AM Snes AN HH HH ER BR 8 8 SR 8 BB Bi 5 83 LED LED 5 84
111. 5 28 90 5V Vin Ne 8 Ne AS il 5 DIODE PQ20 U5 1 Vin Vout Vc 5 29 5 9 OD MAXIM National Semlconductor 9 100uF 10uF luF 4 7u FX3 470uF 47uF 2 IN TY 0 01uF 0 1 FX11 0 33 uF lnF 82pF 22pF 91 10kQ X2 5 6kQ 3 3kO 2kQ 390Q X2 270Q X2 510 X2 1 nEO sl W lt ey mi IH tb UHF s amp s 5 30 92 5V 5V 100k R7 I 5 81 5 10 LM7171X3 National Semiconductor 100k 0 100k0 XxX2 10kQ X4 750 93 5 32 UHF UHF 5 11 UHF UHF 5 82 1
112. 1 10 1 10 C 11 gt ls l 10 l2 5 l 20 l2 5 e cm 60 65 70 5 dB 80 95 9 00 9 50 10 00 10 50 11 00 MHz 5 39 11 5 1 10 g 95 dB dB 85 90 60 65 70 75 80 95 9 00 9 50 10 00 10 50 11 00 MHz 5 40 1 5 1s 20 60 65 70 5 80 90 MM 5 1 95 9 00 9 50 10 00 10 50 11 00 MHz 5 41 11 10 l 10 c 99 dB dB 60 65 90 95 9 00 9 50 10 00 10 50 11 00 MHz 5 42 1 10 lz 5 d 60 65 95 9 00 9 50 10 00 10 50 11 00 MHz 5 43 11 20 lz 5 e 100 5 39 5 48 65 AB li lcml 5 44 5 44 1 ls 1 ls
113. 1 1 1 1 1 100 100 100 0 65 70 75 80 B85 86 B7 88 B9 90 91 92 93 94 85 96 B5 70 75 80 85 B6 87 88 89 90 91 82 93 94 95 96 OECD Health ata 1998 OECD Health Data 1998B 1 1
114. 20 2009 50 Vol 56 2007 51l http stshingi jp 2005 pdf 112401 pdf 52 3631639 66 I53 Vol 41 No 1 pp 98 107 February 1992 54 MBE2008 70 December 2008 67 2 1 Toshinori Kagawa Atsuko Kawamoto Nobuo Nakajima Robust Wrist Type Wireless Multnple Photo Interrupter Pulse Sensor INTERNATTONAL JOURNAL of SYSTEMS APPLICATIONS ENGINEERING amp DEVELOPMENT Vol 6 No 5 pp 325 332 Dec 2012 3 2 D Vol J96 D No 3 Mar 2013 3
115. 3 34 2 50
116. 3 1 Toshinori Kagawa Makoto Kawashima Natsuki Nakayama Advanced exercise control using miniature ECG and 3D acceleration sensors D amp D Forum on Telemedicine Systems lssues Design Development and Standardization at IEEE Globecom2008 Dec 2008 1 2 Toshinori _ Kagawa Nobuo Nakajima A Robust Wrist Type Multiple Photo Interrupter Pulse Sensor HSBS2012 67910 036 June 2012 2 3 Atsuko Kawamoto Toshinori Kagawa Nobuo Nakajima Robust Detection of Pulse and Breath Rates using Multiple Photo interrupter TriSAI2012 8S 1 5 Sept 2012 4 9 1 2008 2 MICT2008 10 July 2008 1 2 O 457 Sept 2008 1 3
117. keall 5 75 MRETs 5 74 METs kcall 1 64 kcall 0 0175 5 75 MErTs kcal 0 623X kcall 0 111 METs METs 5 24 METs METs METs IMETsj METs IMETS 126 5 25 METs METs METs METs METs METsl agam sm so saw seo so 5 24 5 25 METs METs METs METs OO
118. BAN BAN BAN 1 6 1 6 1 4 2
119. S2 S3 S4 43 R1 mm lt In 1 E2 Em nat DI A Gn 0 E8 m 9 mat DI A Qn lt 0 0 gt mp t 3 17 lL 5 E w 0 5 gt 0 0 U 100 150 200 Time s 3 17 3 17 100 160 200 150 harmonic heartbeat component component 100 p of heartbeat _ 0 m 2 3 Frequency Hz 3 18 44 150 100 9 error by heart rate body QO 0 50 100 150 200 Time s 3 19 3 18
120. 112 GND 3 GND AD CPU PC CMRR 55mm 5 59 5PdB0FGdE1E 5 59 113 5 60 5 19 5 19 ET MSP430EG4616 100Q X 2 12kQ X2 47kQ 1 olamx4iOeFxas 10
121. 12 3 MPU MSP430 AD UART MPU J GND 5 58 Mixed Signal CPU
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126. pulsatnon sngnal obtanned from optical tlow sequence Review of Scientific Instruments vol 68 pp 1311 1836 1997 25 Vol 16 No 5 pp 705 711 1998 26 D IL Vol J88 D II No 10 pp 2152 2162 2005 27 Vol 16 No 2 pp 274 281 1998 I28 Vol 48 No 6 pp 595 603 2010 29 CLINICIAN No493 pp 598 599 2000 30 2005 31 8 Rhee B H Yang and H H Asada Artifact Resistant Power Efficient Design of Hinger Ring Plethysmographic Sensors IEEE Transactions on Biomedical Engineering Vol 48 No 7 pp 795 805 Jul 2001 32
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138. hronization Therapy study European Journal of Heart Failure Vol 13 pp 1019 1027 2011 11 Palmieri V Pezzullo S Lubrano V et al Home based telemonitoring of simple vital 63 signs to reduce hospitahzation in heart failure patients real world data from a communnty based hospital Vol 12 No 12 2011 12 A Roberto M Ilaria A Angela M et al Impact of Home Patient Telemonitoring on Use of D Blockers in Congestive Heart Failure Drugs amp Aging Vol 27 No 10 pp 801 805 2010 13 A Weintraub D Gregory A R Patel et al A Multicenter Randomized Controlled Evaluation of Automated Home Monitoring and Telephonic Disease Management in Patients Recently Hospitahzed for Congestve Heart Failure The SPAN CHFE II Trial Journal of Cardnac Failure Vol 16 No 4 pp 285 292 2010 14 R P Katra N Chakravarthy 1 Libbus Remote At Home Detection and Monitoring of Functional Chronotropnc Incompetence in Heart Failure Patnents Journal of Cardnovascular Yanslational Research Vol 4 No 1 pp 14 20 2011 15 21 2009 16 O 457 2008 9 17
139. igns sensors 3 biometric information network using the Internet is a mechanism that utilize biometric information from BAN for medical nursing and health management In this paper pulse rate and respiration rate sensor are investigated There are 2 types of method for measuring pulse rate and respiration rate i wearable vital signs sensors ii vital sings sensors that are embedded in environment i wearable vital sensors are suitable for continuous measurement than ii vital signs sensors that are embedded in environment because humans move around in the room We focused on development of wrist watch type sensors in order to measure biometric information for 24 hours a day without stress Existing wrist watch type pulse sensor was less accurate because of the sensor cannot acquire stable pulse wave We investigated photo interrupter array and body motion removal algorithm These inventions achieve stable pulse wave measurement Furthermore we developed wrist watch type wearable respiration rate sensor These techniques make lt possible to measure pulse rate and respiration rate anytime anywhere The proposed equipment 1s applicable for continuous monitoring of solitary people and home bound patient health condition for coming aging society
140. m3 LPM3 T CO 1 Popdt Papcdt Primgnrdt Ppacdt Puarrdt Pcpudt Prpmodt Prpys 2 2V Py 5 15 2 2V u Al x 5 350 Pe UART ii 430 Py CPU 280 Prpwo LPM 270 Py LPM3 640 1700lp sal Pa P 205 4 pAl 2 2V 205 43 56 50 x 100 2 41 2 41 2 2V 5 16 2 2V oNes 109 T 1700Lg Al Pa Py 1730 AI a x 100 4 62 1 73 4 62 5 17
141. man Personal Area Networks PAN Near Field Intra Body Communication M S thesis MIT Media Laboratory June 1995 41 CQ p 255 July 2006 42 CQ p 528 December 2006 43 p 276 October 1994 44 Ne 2 0 453 September 2008 45 BSN Body Sensing Network 20 2009 46 OP CQ p 254 September 1990 47 http www mhlw go jp 48 BARBARA E et al Compendium of Physical Activities an update of activity codes and MET intensities MEDICINE amp SCIENCE IN SPORTS amp EXERCISE pp S498 S516 September 2000 49 BSN Body Sensing Network
142. or 2 30 29 raw signal VIF1 move 3 respire _ _ hold breath I 0 5 1 EL EL 3 EL HL 4 i ann nnn nme nfs 3 ol GU TU 8U 9 100 110 120 130 140 150 time second 2 81 30 2 3 When the blood flow volumes is a little blood erythrocyte blood vessel Infrared source infrared detector When the blood flow volumes is much 2 32 2 32 NM
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