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Date : Sept. The 4 th International Symposium in Computational Medical and Health Technology 21-22 2014

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Date : Sept.

The 4th International Symposium

in Computational Medical and

Health Technology

21-22 2014

The 4th International Symposium in Computational Medical and Health Technology

Taipei, Taiwan, Sept. 21-22, 2014

1  

The 4th International Symposium in

Computational Medical and Health Technology

Organizer:University  of  Hyogo  (兵庫県立大学)  

Host:Department  of  Electrical  Engineering,  Taipei  Tech  (台北科技大

學電機工程系)  

Sponsors:  

Alumni  Association  of  Electrical  Engineering  ,  Taipei  Tech  (台北科技

大學電機工程系系友會)、  

Plan  for  Developing  Technological  University  Paradigms  at  NTUT  (教

育部典範科大計畫(台北科技大學)  )  

Time:  September  21  and  22,  2014  

Venue:  Room  318,  Integrated  Technology  Complex  Building  

Taipei  Tech,  Taipei,  Taiwan    

The 4th International Symposium in Computational Medical and Health Technology

Taipei, Taiwan, Sept. 21-22, 2014

2  

 Program  Manual  

 Contents  

I.   Organization  .................................................................................................  3  

II.   Schedule  .......................................................................................................  4  

III.   Venue  .........................................................................................................  5  

IV.   Plenary  Talk  1  .............................................................................................  6  

V.     Plenary  Talk  2  .............................................................................................  8  

VI.   Plenary  Talk  3  .............................................................................................  9  

VII.   Plenary  Talk  4  ...........................................................................................  10  

VIII.   Session  Schedule  ......................................................................................  11  

IX.   Paper  Abstracts  ........................................................................................  13  

 

 

The 4th International Symposium in Computational Medical and Health Technology

Taipei, Taiwan, Sept. 21-22, 2014

3  

I. Organization    

Symposium  Chair:Naotake  Kamiura  (University  of  Hyogo)、  

Jwo-­‐Shiun  Sun  (Taipei  Tech)  

 

Vise  Symposium  Chair:Nobuyuki  Matsui  (University  of  Hyogo)、  

Chao-­‐Rong  Chen  (Taipei  Tech)  

 

Financial  Chair:Syoji  Kobashi  (University  of  Hyogo)、  

Jen-­‐Hsiang  Chou  (Taipei  Tech)  

 

Program  Chair:Manabu  Nii  (University  of  Hyogo)、  

Tan-­‐Hsu  Tan  (Taipei  Tech)  

 

Local  Arrangement  Chair:Juei-­‐Chao  Chen  (Fu  Jen  Catholic  University)、  

Chao-­‐Cheng  Wu  (Taipei  Tech)  

 

Publication  Chair:Masakazu  Morimoto  (University  of  Hyogo)  

   

The 4th International Symposium in Computational Medical and Health Technology

Taipei, Taiwan, Sept. 21-22, 2014

4  

II. Schedule  

 

Date   Time   Topic  

2014

-­‐09-­‐21

 (Sun

)  

8:20  –  8:30   Opening  Ceremony  

8:30  –  9:20  Plenary  Talk  1  

Health  Care  by  Information  Technology  

9:30  –  11:00   Session  1    

11:10  –  12:00  Plenary  Talk  2  

Digital  Healthcare  for  Lifestyle  Modification  

12:00  –  13:30   Lunch  

13:30  –  14:20  Plenary  Talk  3  

Automatic  Tongue  Diagnosis  System  -­‐  An  Introduction  

14:30  –  15:15   Session  2  

15:15  –  16:00   Coffee  Break  

16:00  –  16:45   Session  3  

17:00  –  17:50  

Plenary  Talk  4  A  Novel  Technique  to  Measure  the  Parameters  of  

Cardiovascular  Based  on  Mechanism  of  Sphygmomanometer  

18:00  –   Banquet  

2014

-­‐09-­‐22

 (M

on)  

9:30  –  17:00  Social  Events  

(Visit  Tamkang  University)  

The 4th International Symposium in Computational Medical and Health Technology

Taipei, Taiwan, Sept. 21-22, 2014

5  

III. Venue  

 

 

1. Venue:  Room  318,  Integrated  Technology  Complex  Building  (綜合科館).    

2. Exit  4  of  Taipei  Metro  Zhongxiao  Xinsheng  (忠孝新生)  Station.  

3. Direction  from  Taipei  Metro  Station  to  the  venue.  

4. Direction  to  Taipei  Main  Station.  

5. Direction  to  Golden  China  Hotel.  

1

2

4

5

3

The 4th International Symposium in Computational Medical and Health Technology

Taipei, Taiwan, Sept. 21-22, 2014

6  

IV. Plenary  Talk  1  

 

Health  Care  by  Information  Technology  Yutaka  Hata  

Graduate  School  of  Simulation  Studies,  University  of  Hyogo,  Kobe,  Japan    

Abstract  

Due  to  the  huge  cost  of  medical  fee  of  about  40  %  in  national  budget,  Japan  faces  to  save  

the   cost.   The  most   promising  way   to   save   the   cost   is   keeping   the   all   Japanese   people  

healthy.  To  control  health  condition,  a  wearable  device  including  smart  phones  receives  

much  considerable  attentions.  Especially,  smart  phone  software  aimed  at  weight  control,  

sleeping  recording,  food  calorie  calculation,  pedometer,  blood  pressure  recording  is  used  

for   many   users.   Wearable   devices   to   record   life   log   are   also   popular.   While,   all   most  

Japanese   people   receives  medical   checkup.  Medical   checkup   over   40   years   old   people  

employs   breast   X-­‐ray,   weight   and   height,   blood   pressure,   eye   test,   blood   test,   and  

stomach   X-­‐ray.   These   data   would   be   useful   to   find   how   to   keep   them   healthy.   Cloud  

computing  gives  us  a  wonderful  solution  to  solve  this  problem.  In  my  talk,  first  I  introduce  

an  analysis  platform  to  treat  Japanese  medical  checkup  data   in  fuzzy   logic.  This  aims  to  

find   an   advice   how   to   keep   them  healthy.   Second,   I   introduce   a  wearable   device  with  

electrocardiograph   and   accelerometer,   and   talk   how   to   use   it.   This   device   has   great  

potential   to   do   not   only   emergency   use   of   heart   attack   but   also   keep   us   healthy.   3D  

acceleration  data  can  exactly  open  daily  athletic  state  with  complementary  use  of  heart  

rate.  

Thus,  this  device  has  high  potential  to  reveal  our   life-­‐style   improvement  record  used  to  

diagnose   some   diseases.   Thus,   health   related   system   and   its   market   with   information  

The 4th International Symposium in Computational Medical and Health Technology

Taipei, Taiwan, Sept. 21-22, 2014

7  

technology  would   be   receive  much  more   attentions   in   the  world.   This   direction   is   the  

most  promising  way  to  keep  all  people  healthy  in  the  world.  

 

   

The 4th International Symposium in Computational Medical and Health Technology

Taipei, Taiwan, Sept. 21-22, 2014

8  

V. Plenary  Talk  2  

 

Digital  Healthcare  for  Lifestyle  Modification    Hiroshi  Nakajima  

Omron  Corporation,  Kyoto,  Japan  

 

Abstract  

Lifestyles   related   diseases   of   hypertension   and   diabetes   have   impacted   social   system  

seriously   recent  days  because  of   less  child  and  aging.   It  has  been  well  known  that   they  

are  strongly  connected  with  the  risk  of  the  cardiovascular  events  such  as  stroke  and  heart  

attack  which  are  main  causes  of  the  long-­‐term  nursing  care.  According  to  the  background,  

the   development   of   various   digital   healthcare   systems   has   been   accelerated   by   the  

technologies   of   sensing,   information,   and   communication.   In   this   context,   we   also  

developed   the   system   by   employing   healthcare   devices   and   services   to   extract   the  

individualized  causalities  between  vital  signals  such  as  blood  pressure  and  lifestyles.  Our  

lifestyle  is  simply  composed  by  nutrition,  exercise,  and  sleep.  It  must  be  important  for  us  

to   understand   and   realize   what   is   our   own   better   lifestyle   by   quantifying   lifestyle  

components  and  vitals.  Through  the  realization,  keeping  our  lifestyle  modification  is  the  

final   goal   and   the   precious   value   against   the   diseases.   In   this   talk,   our   backdrop   and  

system  overview  are  briefly  introduced.  Some  statistical  analysis  results  follow  them  with  

important  discussion  points.  

   

The 4th International Symposium in Computational Medical and Health Technology

Taipei, Taiwan, Sept. 21-22, 2014

9  

VI. Plenary  Talk  3  

 

Automatic  Tongue  Diagnosis  System  -­‐  An  Introduction    John  Y.  Chiang  

Department  of  Computer  Science  and  Engineering,    National  Sun  Yat-­‐sen  University,  Kaohsiung,  Taiwan  

 

Abstract  

Intra-­‐   and   inter-­‐observer  agreements  of   the  automatic   tongue  diagnosis   system   (ATDS)  

and  TCM  practitioners  have  been  conducted  in  our  laboratory.  The  results  demonstrate  

that  the  ATDS  is  very  consistent  even  in  the  face  of  variations  of  environmental   lighting  

and  extruding  tongue  with  an  intra-­‐observer  agreement  significantly  higher  than  that  of  

the  TCM  doctors,  while  the  inter-­‐observer  agreements  between  the  ATDS  and  a  group  of  

TCM  doctors  and  among   the  TCM  doctors  are  both  moderate.  ATDS  serves  not  only  as  

clinical  equipment   in  providing  doctors  with  consistent  tongue  features  of  patients,  but  

also  as  a  feasible  teaching  and  evaluation  means  for  students  learning  tongue  diagnosis.  

In  this  study,  the  ATDS  developed  by  our  team  was  utilized  to  train  novice  TCM  doctors,  

with  assistance  and  guidance  of  a  senior  physician,   to   improve  skills  and  consistency   in  

tongue  diagnosis.  With  the  vast  amount  of  tongue  images  collected,  accompanied  by  the  

corresponding  features  extracted  automatically,  learning  through  the  knowledge  base  of  

ATDS  is  expected  to  be  more  effective  than  that  guided  by  senior  physicians  only.  

 

   

The 4th International Symposium in Computational Medical and Health Technology

Taipei, Taiwan, Sept. 21-22, 2014

10  

VII.   Plenary  Talk  4  

 

A  Novel  Technique  to  Measure  the  Parameters  of  

Cardiovascular  Based  on  Mechanism  of  

Sphygmomanometer  Shing-­‐Hong  Liu    

Department  of  Computer  Science  and  Information  Engineering  Chaoyang  University  of  Technology,  Taichung,  Taiwan  

 

Abstract  

Because   the   medicine   and   biological   technique   are   quickly   developed,   humans’   life   is  

higher  than  before.  But,  in  the  moment  the  mortality  of  cardiovascular  diseases  is  still  at  

the  high   rank   in   the  death   reasons.  Besides,   the  chronic  diseases,   like  as  hypertension,  

diabetes,   or   nephropathy,   also   easily   let   the   people   get   the   cardiovascular   diseases.  

Many   our   friends   or   families   are   sudden   death   because   they   get   the   apoplexy   or  

myocardium   infarction.   However,   now   the   popular   and   easy   operating   apparatus  

monitoring   the   cardiovascular   conditions   in   the   home   is   only   the   oscillometric  

sphygmomanometer.   Although   the   blood   pressure   is   an   important   parameter   for  

monitoring   the   cardiovascular   conditions,   how   to  develop  an  easy  operating   apparatus  

on   the   homecare   that   not   only  measure   the   blood   pressure,   but   also   can  monitor   the  

other   parameters   of   cardiovascular   is   a   challenge.  A  novel   technique  has  been   studied  

which  mechanism  was  an  oscillometric  sphygmomanometer.   It  not  only  measure  blood  

pressure,   but   also   simultaneously   measure   the   arterial   stiffness,   stroke   volume   and  

cardiac  output.  It  very  suits  users  in  home  use,  just  as  the  use  of  sphygmomanometer.  

   

The 4th International Symposium in Computational Medical and Health Technology

Taipei, Taiwan, Sept. 21-22, 2014

11  

VIII. Session  Schedule  

 

Session  1  

Time:  9:30  –  11:00   Chairs:Teijiro  Isokawa、Juei-­‐Chao  Chen  

1  [Sec  1.1]  Online  camera  monitoring  system  for  elderly  people  /  Tetsuya  Fujisawa,  Tadahito  Egawa,  Kazuhiko  Taniguchi,  Naotake  Kamiura,  and  Yutaka  Hata  

2  

[Sec  1.2]  Monitoring  of  activity  of  daily  living  for  elderly  people  using  RFID  and  wearable  Technologies  /  Tan-­‐Hsu  Tan,  Ke-­‐Hao  Chen,  Munkhjargal  Gochoo,  Fu-­‐Rong  Jean,  Yung-­‐Fu  Chen,  and  Li-­‐Chu  Lee  

3  [Sec  1.3]  An  Elderly  Surveillance  System  using  Wireless  Signal  Fluctuation  /  R.  Nishimura  and  M.  Morimoto  

4  [Sec  1.4]  A  Novel  Automated  Quantitative  Method  of  CerebroSpinal  Fluid  Area  for  the  Diagnosis  of  Lumbar  Spine  Stenosis  /  Jiann-­‐Her  Lin,  Yung-­‐Hsiao  Chiang,  and  Chao-­‐Cheng  Wu  

5  [Sec  1.5]  An  Evolutionary  Computation  Approach  to  Menu  Creation  for  Hospital  Meals  /  Teijiro  Isokawa,  Naotake  Kamiura,  and  Nobuyuki  Matsui  

6  

[Sec  1.6]  Mean/variance  based  gameplay  data  exploration  for  player  experience  evaluation  to  increase  adherence  of  Kinect-­‐game  based  rehabilitaiton  exercises  at  long-­‐term  care  services  /Tien-­‐Lung  Sun,  Ta-­‐Min  Hung,  Juei-­‐Chao  Chen,  Kuo-­‐Hung  Lo,  Chun  Pei,  and  Chien-­‐Hua  Huang  

Session  2  

Time:  14:30  –  15:15   Chairs:Takayuki  Fujita、Tan-­‐Hsu  Tan  

1  [Sec  2.1]  Directed  graph  based  text  representation  for  nursing-­‐care  text  classification  /  Manabu  Nii,  Kazunobu  Takahama,  Takuya  Iwamoto,  Reiko  Sakashita,  and  Atsuko  Uchinuno  

2  [Sec  2.2]  Mobile  Telemedicine  System  for  Elderly  Homecare:  Design  and  Implementation  /  Cheng-­‐Wei  Hu,  Yauri  Hartoyo,  and  Yung-­‐Chung  Wang  

3  [Sec  2.3]  Electromagnetic  Harvester  by  Damped  Vibration  of  Impulse  Shock  /  Kohei  Yamaguchi,  Takayuki  Fujita,  Yuji  Tanaka,  Koki  Yamamoto,  Koji  Sonoda,  Kensuke  Kanda,  and  Kazusuke  Maenaka  

The 4th International Symposium in Computational Medical and Health Technology

Taipei, Taiwan, Sept. 21-22, 2014

12  

Session  3  

Time:  16:00  –  16:45   Chairs:Takayuki  Fujita、Tan-­‐Hsu  Tan  

1  [Sec  3.1]  Fully  automated  artery  extraction  from  3-­‐D  TOF  MRA  images  using  fuzzy  connectedness  image  segmentation  /  Syoji  Kobashi,  Tamotsu  Nomura,  Tomomoto  Ishikawa,  and  Naotake  Kamiura  

2  [Sec  3.2]  The  Effects  of  Moderate  Intensity  Exercise  on  Heart  Rate  Variability  in  Relieving  Work  Stress  /  Shing-­‐Hong  Liu,  Ming-­‐Zhu  Chang,  and  Jia-­‐Jung  Wang  

3  [Sec  3.3]  Sojourn-­‐Time  Reduction  for  Patients  at  Department  of  Cardiology  /  Naotake  Kamiura,  Syoji  Kobashi  and  Kei  Kuramoto,  Takashi  Fujii  

 

   

The 4th International Symposium in Computational Medical and Health Technology

Taipei, Taiwan, Sept. 21-22, 2014

13  

IX. Paper  Abstracts  Sec  1.1  

Online  camera  monitoring  system  for  elderly  people    

 Tetsuya  Fujisawa,  Tadahito  Egawa,  Kazuhiko  Taniguchi,  Naotake  Kamiura,  and  

Yutaka  Hata  

 

Abstract  

This  paper  proposes  an  online  gas  monitoring  system  for  watching  over  an  elderly  person.  

For   gas   monitoring,   a   single   camera   captures   gas   meter   image   at   fixed   intervals.   The  

system  applies  edge  detection  and  the  connected-­‐component  labeling  to  extract  numeral  

regions  of  a  gas  mater  image.  It  extracts  shape  characteristics  from  the  numeral  region.  It  

recognizes  numeral   image  by  fuzzy   inference  from  acquired  shape  characteristics.  Once  

system   fails   to   recognize   gas   consumption   by   some   accidents,   the   consumption   is  

interpolated  from  time-­‐series  data.  For  an  online  monitoring  in  a  day,  it  is  shown  that  the  

system  successfully  estimates  gas  consumption  and  visualizes  them.  

   

The 4th International Symposium in Computational Medical and Health Technology

Taipei, Taiwan, Sept. 21-22, 2014

14  

Sec  1.2  

Monitoring  of  activity  of  daily  living  for  elderly  people  

using  RFID  and  wearable  Technologies    

 Tan-­‐Hsu  Tan,  Ke-­‐Hao  Chen,  Munkhjargal  Gochoo,  Fu-­‐Rong  Jean,  Yung-­‐Fu  Chen,  

and  Li-­‐Chu  Lee  

 

Abstract  

A   telecare   system   for   monitoring   activity   of   daily   living   (ADL)   of   elderly   people   is  

presented  in  this  study  by  using  active  radio  frequency  identification  (RFID)  and  wearable  

technologies.  The  active  RFID  is  employed  to  identify  the  identity  and  activity  area  of  the  

elderly  people.  A  wearable  device,  the  Fitbit  Flex  Wristband  (FFW)  is  utilized  to  measure  

the   walking   steps   and   energy   expenditure   of   the   elderly   people   in   daily   activity.   The  

activity  data  are   then   sent   to   the   remote   server   installed   in  monitoring   center   to  build  

the   activity   density   map   (ADM)   and   the   textural   features   extracted   from   ADM   are  

employed  to  calculate  a  dissimilarity  measurement  of  the  elderly  people  during  different  

weeks  for  detecting  if  any  abnormal  activity  pattern  happens.  Experimental  results  show  

the  potential  of  the  proposed  system  for  practical  application.    

The 4th International Symposium in Computational Medical and Health Technology

Taipei, Taiwan, Sept. 21-22, 2014

15  

Sec  1.3  

An  Elderly  Surveillance  System  using  Wireless  Signal  

Fluctuation    

 R.  Nishimura  and  M.  Morimoto  

 

Abstract  

To   avoid   unattended   death   of   “single   elderly   people”,   this   paper   proposes   a   discreet  

surveillance   system.   The   proposed   surveillance   system   use   wireless   communication  

device   to   sense   living   activities,   because   employing   surveillance   camera   will   cause  

invasions   of   privacy.   In   this   paper  we   report   some   results   of   preliminary   experiments,  

which  clarify  relationship  between  wireless  signal  fluctuation  and  several  living  activities;  

sleeping,  deskwork,  walk-­‐through  and  so  on.  As  a   result,  we  can   show  that  our   system  

can  sense  living  activities  from  signal  fluctuations.    

   

The 4th International Symposium in Computational Medical and Health Technology

Taipei, Taiwan, Sept. 21-22, 2014

16  

Sec  1.4  

A  Novel  Automated  Quantitative  Method  of  

CerebroSpinal  Fluid  Area  for  the  Diagnosis  of  Lumbar  

Spine  Stenosis    

 Jiann-­‐Her  Lin,  Yung-­‐Hsiao  Chiang,  Chao-­‐Cheng  Wu  

 

Abstract  

Lumbar   spinal   stenosis   (LSS)   is   the   most   common   cause   for   lumbar   spinal   surgery   in  

patients   older   than   65   years.   A   grading   system   for   LSS   is   needed   to   allow   precise  

communication   between   clinicians   and   for   assessment   of   treatment   responses.   At  

present,   there   are   two   categories   of   grading   systems-­‐qualitative   and   quantitative.  

However,   there   is   always   individual   subjectivity   of   radiologists   in   those   qualitative  

classifications   systems.   To   overcome   the   inter-­‐reader   variability,   some   studies   have  

focused   on   dural   sac   cross-­‐sectional   area   (DSCSA)   or   dural   sac   anterior-­‐posterior  

diameter  (DSAPD)  for  diagnosis  or  grading  of  LSS.  However,  these  measurement  methods  

are  time-­‐consuming  and  not  relevant  to  clinical  symptoms  even  with  the  same  values  for  

DSCSA   or   DSAPD.   Herein,   we   propose   a   novel   quantitative   automated   method   to  

measure  the  cross-­‐section  area  of  the  CSF.  This  quantitative  automated  method  has  two  

advantages:  First,  it  is  time-­‐saving-­‐  it  automatedly  calculates  the  CSA  of  the  CSF.  Second,  

it   provides   objective   and   quantitative   results.   This   study   is   to   introduce   this   novel  

quantitative   automated   method,   evaluate   its   reliability,   and   compare   it   to   other   two  

semiquantitative  CSF-­‐based  classification  systems.  

   

The 4th International Symposium in Computational Medical and Health Technology

Taipei, Taiwan, Sept. 21-22, 2014

17  

Sec  1.5  

An  Evolutionary  Computation  Approach  to  Menu  

Creation  for  Hospital  Meals    

 Teijiro  Isokawa,  Naotake  Kamiura,  and  Nobuyuki  Matsui  

 

Abstract  

The  task  of  manually  planning  daily  menus  for  hospital  meals  is  a  complex  one  as  many  

conditions  for  nutrition  apply,  and  it  is  important  to  ease  these  burden  of  planning.  This  

task   can   be   formulated   as   an   optimization   problem  with  menu   items   as   variables   and  

with   specific  nutritional  and  allergic   constraints.   In   this   study,  a  menu  creation   scheme  

was   proposed   to   satisfy   these   conditions,   which   also   took   into   consideration   patients’  

food  preferences.  A  genetic  algorithm  was  utilized  to  better  and  more  efficiently   locate  

combinations   of   menu   dishes   for   individual   patients.   The   proposed   scheme   was  

evaluated  for  a  virtual  patient  with  or  without   food  allergies.  The  results  demonstrated  

that  several  candidates   for  a  well-­‐balanced   five-­‐  day  menu  could  be  proposed   in  either  

case  with  this  scheme.  

   

The 4th International Symposium in Computational Medical and Health Technology

Taipei, Taiwan, Sept. 21-22, 2014

18  

Sec  1.6  

Mean/variance  based  gameplay  data  exploration  for  

player  experience  evaluation  to  increase  adherence  of  

Kinect-­‐game  based  rehabilitaiton  exercises  at  long-­‐term  

care  services    

 Tien-­‐Lung  Sun,  Ta-­‐Min  Hung,  Juei-­‐Chao  Chen,  Kuo-­‐Hung  Lo,  Chun  Pei,  and  

Chien-­‐Hua  Huang  

 

Abstract  

This  paper  first  presents  a  new  formula  that  is  able  to  calculate  mean  and  variance  with  

one   pass   of   data   reading   while   still   retaining   accuracy.   The   new   formulas   support  

interactive   gameplay   data   exploration   to   analyze   player’s   experiences   at   Kinect   game  

based   rehabilitation   exercises   at   long-­‐term   care.   Player   experiences   are   used   as  

feedbacks  to  increase  social  connections  between  the  long-­‐term  care  delivery  people  and  

the   players.   Closer   social   connection   increases   player’s   adherence   to   the   game   and  

motivate   regular,   routine  rehabilitation  exercises.  The  usage  of   the  new  mean/variance  

formulas  will  be  more  apparent  when  large  amount  of  gameplay  data  are  collected  from  

many  long-­‐term  care  patients.  

   

The 4th International Symposium in Computational Medical and Health Technology

Taipei, Taiwan, Sept. 21-22, 2014

19  

Sec  2.1  

Directed  graph  based  text  representation  for  

nursing-­‐care  text  classification    

 Manabu  Nii,  Kazunobu  Takahama,  Takuya  Iwamoto,  Reiko  Sakashita,  and  

Atsuko  Uchinuno  

 

Abstract  

Japan  is  one  of  the  most  aging  countries.  In  such  aging  countries  the  number  of  patients  

increases,  however,  the  number  of  nurses  does  not  increase  or  may  decrease.  Therefore,  

it  is  very  important  for  every  nurse  to  improve  the  quality  of  nursing-­‐care.     Nursing-­‐care  

quality   evaluation   is   needed   for   improving   their   actual   nursing.   For   evaluating  

nursing-­‐care,   freestyle   Japanese   texts   that   include   actual   nursing   description   are  

gathered   through   the   Internet.   Such   texts   are   classified   by   a   SVM   based   classification  

system   that   is   trained   using   some   texts   evaluated   by   nursing-­‐care   experts.   In   order   to  

classify  texts,  we  need  to  apply  some  preprocessing  methods.  Extracting  features  is  one  

of  such  preprocessing  methods.  In  this  paper,  we  propose  a  directed  graph  based  feature  

definition.   Nursing-­‐care   texts   are   represented   using   directed   graph   expression.   From  

some  experimental   results,   it   is  shown  that  our  directed  graph  based  feature  definition  

has  effectiveness  for  classifying  nursing-­‐care  texts.  

   

The 4th International Symposium in Computational Medical and Health Technology

Taipei, Taiwan, Sept. 21-22, 2014

20  

Sec  2.2  

Mobile  Telemedicine  System  for  Elderly  Homecare:  

Design  and  Implementation    

 Cheng-­‐Wei  Hu,  Yauri  Hartoyo,  and  Yung-­‐Chung  Wang  

 

Abstract  

Most  of  countries  have  a  problem  with  growing  population  of  elderly.  The  elderly  needs  

young  people  to  take  care  of  them.  However,  it  is  hard  to  do  in  these  modern  days  where  

productive  peoples  are  busy  more  than  ever.  Telemedicine  system   is  a  solution   for   this  

problem.   Telemedicine   system   allows  medical   information   exchanged   from  one   site   to  

another  via  electronic  devices.  With  a  telemedicine  system,  young  people  can  know  the  

situation   of   the   elderly   remotely.   In   this   study,   we   create   a   telemedicine   system   for  

elderly  homecare  using  event  detector,  notification  server  and  Android  device.  The  event  

detector  will  be  connected  to  IP  cameras  and  receives  real-­‐time  image  of  elderly  current  

situation.   The   event   detector   has   an   application   for   analyzing   the   image   using   fall  

detection   system  with   human   shape   and   shadow  elimination  method.  Whenever   a   fall  

event  detected   from  the   image,  a  notification  will  be  sent   to  Android  device   through  a  

notification   server   and   Google   Cloud   Messaging   service.   When   notification   arrives   on  

Android  device,  homecare  giver  can  see  the  image  where  fall  event  detected  and  be  able  

to  connect  directly  to  IP  camera  to  monitor  the  real-­‐time  situation.  

   

The 4th International Symposium in Computational Medical and Health Technology

Taipei, Taiwan, Sept. 21-22, 2014

21  

Sec  2.3  

Electromagnetic  Harvester  by  Damped  Vibration  of  

Impulse  Shock    

 Kohei  Yamaguchi,  Takayuki  Fujita,  Yuji  Tanaka,  Koki  Yamamoto,  Koji  Sonoda,  

Kensuke  Kanda,  and  Kazusuke  Maenaka  

 

Abstract  

In   this   paper,   we   introduce   the   possibility   of   power   generation   by   using   shock   on   the  

human  body.  Common  vibratory  energy  harvesters  have  an  efficient  operating  frequency  

for  power  generation,  the  resonance  frequency  of  the  system,  and  they  are  not  suitable  

for  the  vibration  composed  of  broadband  frequency.  Thus,  the  harvesting  from  vibration  

of   human   body   is   rather   difficult.   We   propose   power   generation   by   using   damped  

vibration  with   impulse   shock   on   human  body.   By   this   technique,   input   vibration   is   not  

limitted  by  sinusoidal  vibration  but  by  impulse  shock.  We  simulate  generation  power  by  

using  damped  vibration   in  order   to  obtain  optimal  device   structure   suitable   for  human  

movement.  

   

The 4th International Symposium in Computational Medical and Health Technology

Taipei, Taiwan, Sept. 21-22, 2014

22  

Sec  3.1  

Fully  automated  artery  extraction  from  3-­‐D  TOF  MRA  

images  using  fuzzy  connectedness  image  segmentation    

 Syoji  Kobashi,  Tamotsu  Nomura,  Tomomoto  Ishikawa,  and  Naotake  Kamiura  

 

Abstract  

Artery   extraction   from  magnetic   resonance   angiography   (MRA)   images   is   essential   for  

computer-­‐aided  diagnosis  of  aneurysm  detection  using  MRA  images.  In  literatures,  some  

methods   have   been   studied;   however,   there   are   few   discussions   on   fully-­‐automation,  

applicability   to   various  MRI   scanner   or   patient   symptoms.   This   paper   proposes   a   new  

method   for   extracting   arteries   with   fully   and   automatically   from   MRA   images.   The  

method   does   not   require   any   user   interaction   such   as   analysis   parameter   setting.   It   is  

based   on   fuzzy   connectedness   image   segmentation   (FCIS).   The   method   firsts   roughly  

segments   the  parenchymal   region,  and   then   finds   intensity   threshold  parameters  using  

the  segmented  parenchymal  region.  Next,  the  method  extracts  the  artery  region  by  using  

FCIS.  The  proposed  method  has  been  applied  to  both  of  1.5  T  and  3.0  T  MRA  images.  And,  

the   subjects   are   with   or   without   aneurysms,   diabetes,   hypertension,   hyperlipidaemia,  

and/or   cerebral   infarction.   It   found   thresholds   parameters   fully-­‐automatically   and  

segmented  the  artery  region  preciously  in  all  subjects  except  one  subject.  

   

The 4th International Symposium in Computational Medical and Health Technology

Taipei, Taiwan, Sept. 21-22, 2014

23  

Sec  3.2  

The  Effects  of  Moderate  Intensity  Exercise  on  Heart  Rate  

Variability  in  Relieving  Work  Stress  

 Shing-­‐Hong  Liu,  Ming-­‐Zhu  Chang,  and  Jia-­‐Jung  Wang  

 

Abstract  

Long-­‐term   endurance   exercise   could   increase   parasympathetic   activity   and   decrease  

sympathetic   activity   in   the   heart   at   rest.   However,   previous   studies   all   focused   on   the  

effect   of   endurance   training   on   heart   rate   variability   (HRV)   for   athletes   or   sedentary  

subjects.  Thus,  the  goal  of  this  study  was  to  elucidate  the  beneficial  effect  of  moderate  

intensity  exercise  on  relieving  work  stress   in  elementary  schoolteachers.  There  were  20  

participants  in  the  exercise  group,  and  another  20  participants  in  the  non-­‐exercise  group.  

The  exercising   teachers  performance  12  weeks  of  moderate   intensity   exercise   training,  

consisting  on  average  of  30  minutes  per  day,  3  times  per  week.  HRV  was  measure  before  

and   after   4th,   and   12th   weeks.   The   TP,   HF,   RRI,   SDNN,   RMSSD,   and   SDSD   had   the  

significant  increases  (all  p<  0.001)  after  12  weeks  training.  But,  the  TP,  HF,  SDNN,  RMSSD,  

and  SDSD  in  the  non-­‐exercise  group  had  the  significant  decreases  (all  p<  0.001)  after  12  

weeks.  Moreover,   the  weight   and   body   fat   in   both   groups   didn’t   any   change   after   12  

weeks.  We  conclude  that  the  moderate  intensity  exercises  can  relieve  the  psychological  

stress  in  elementary  schoolteacher.  But,  it  can’t  change  the  physical  status.  

   

The 4th International Symposium in Computational Medical and Health Technology

Taipei, Taiwan, Sept. 21-22, 2014

24  

Sec  3.3  

Sojourn-­‐Time  Reduction  for  Patients  at  Department  of  

Cardiology  

 Naotake  Kamiura,  Syoji  Kobashi  and  Kei  Kuramoto,  Takashi  Fujii  

 

Abstract  

In  this  paper,  a  method  of  determining  the  order  of  medical  examinations  is  presented  to  

reduce  sojourn  times  for  patients  visiting  a  department  of  cardiology.  The  batch  process  

made   in   the  nighttime  determines   the  order  of  medical  examinations   for  patients  with  

appointments.   In   the  daytime,   free   time   slots   into  which   the  examinations   for  patients  

without  appointments  can  be  inserted  are  searched  in  the  list  of  examinations  generated  

during  the  night.  When  determining  orders,  values  randomly  generated  from  surveillance  

results   are   used   as   examination   times.   Experimental   results   show   that   the   proposed  

method   achieves   short   sojourn   times   both   for   patients   without   appointments   and   for  

those  with  appointments,  compared  with  the  determination  manually  made  by  a  nurse.